gebhart/patrepeval huggingface dataset:
Applying predictive maintenance to power quality (2000)

The purpose of this paper is to explain how predictive maintenance can be used to prevent and therefore avoid power problems in electrical distribution systems. Predictive maintenance techniques have long been employed to prevent loss of operation in mechanical equipment such as engines, and in electromechanical equipment, such as motors. Similar early warning of incipient problems in an electrical distribution system can now also be achieved. By using monitoring instruments that capture power information in great breadth and depth and by using powerful software tools that analyze trends in power quality, harmonics and other power information, deteriorating conditions can be identified and action taken. The availability of high-speed and affordable personal computers has led to the development of software tools that can rapidly analyse the electrical characteristics and compare multiple databases, either from a single instrument or from many instruments. This paper also discusses the use of a power quality index that takes into account all of the various elements of power disturbances such as impulses, transients, sags and swells. By trending this power quality index over time it becomes possible to provide advance warning of deteriorating electrical components that would lead to system failure. This paper also presents scenarios showing how these tools can be used to allow electrical engineers to become proactive to achieve the goal of system reliability. (12 pages)
Reduction of anthralin inflammation by potassium hydroxide and Teepol (1987)

Application of 1% potassium hydroxide (KOH) reduced subsequent development of anthralin inflammation without loss of its therapeutic effect on psoriasis. Teepol had a similar but smaller effect on subsequent development of inflammation. The action of KOH appears to have resulted from enhanced oxidation of anthralin to inactive products and the action of Teepol to have increased anthralin solubility and removal. The effect of KOH and Teepol decreased with time after anthralin application and both were ineffective by 24 h, indicating that anthralin persists on the skin in an active form for up to 24 h after a single application. The reduction of anthralin inflammation without loss of therapeutic effect is potentially useful in short contact anthralin therapy.
Ruthenium(<scp>II</scp>) as a Novel “Labile” Partner in Thermodynamic Self‐Assembly of Heterobimetallic d–f Triple‐Stranded Helicates (2004)

Unsymmetrical substituted bidentate benzimidazol-2-ylpyridine ligands L2 and L3 react with [Ru(dmso)(4)Cl(2)] in ethanol to give statistical 1:3 mixtures of fac-[Ru(Li)(3)](2+) and mer-[Ru(Li)(3)](2+) (i=2, 3; DeltaGtheta(isomerisation)=-2.7 kJ mol(-1)). In more polar solvents (acetonitrile, methanol), the free energy of the facial<=>meridional isomerisation process favours mer-[Ru(Li)(3)](2+), which is the only isomer observed in solution at the equilibrium (DeltaGtheta(isomerisation)< or = -11.4 kJ mol(-1)). Since the latter process takes several days for [Ru(L2)(3)](2+), fac-[Ru(L2)(3)](2+) and mer-[Ru(L2)(3)](2+) have been separated by chromatography, but the 28-fold increase in velocity observed for [Ru(L3)(3)](2+) provides only mer-[Ru(L3)3](ClO(4))2 after chromatography (RuC(60)H(51)N(9)O(8)Cl(2), monoclinic, P2(1)/n, Z=4). The facial isomer can be stabilised when an appended tridentate binding unit, connected at the 5-position of the benzimidazol-2-ylpyridine unit in ligand L1, interacts with nine-coordinate lanthanides(III). The free energy of the facial<=>meridional isomerisation is reversed (DeltaGtheta(isomerisation)> or =11.4 kJ mol(-1)), and the Ru--N bonds are labile enough to allow the quantitative thermodynamic self-assembly of HHH-[RuLu(L1)(3)]5+ within hours ([RuLu(L1)3](CF(3)SO(3))(4.5)Cl(0.5)(CH(3)OH)(2.5): RuLuC(106)H(109)Cl(0.5)N(21)O(19)S(4.5)F(13.5), triclinic, P(-)1, Z=2). Electrochemical and photophysical studies show that the benzimidazol-2-ylpyridine units in L1-L3 display similar pi-acceptor properties to, but stronger pi-donor properties than, those found in 2,2'-bipyridine. This shifts the intraligand pi-->pi* and the MLCT transitions toward lower energies in the pseudo-octahedral [Ru(Li)(3)](2+) (i=2, 3) chromophores. The concomitant short lifetime of the (3)MLCT excited state points to efficient, thermally activated quenching via low-energy Ru-centred d-d states, a limitation which is partially overcome by mechanical coupling in HHH-[RuLu(L1)(3)]5+.
Beware of Machine Learning-Based Scoring Functions—On the Danger of Developing Black Boxes (2014)

Training machine learning algorithms with protein-ligand descriptors has recently gained considerable attention to predict binding constants from atomic coordinates. Starting from a series of recent reports stating the advantages of this approach over empirical scoring functions, we could indeed reproduce the claimed superiority of Random Forest and Support Vector Machine-based scoring functions to predict experimental binding constants from protein-ligand X-ray structures of the PDBBind dataset. Strikingly, these scoring functions, trained on simple protein-ligand element-element distance counts, were almost unable to enrich virtual screening hit lists in true actives upon docking experiments of 10 reference DUD-E datasets; this is a a feature that, however, has been verified for an a priori less-accurate empirical scoring function (Surflex-Dock). By systematically varying ligand poses from true X-ray coordinates, we show that the Surflex-Dock scoring function is logically sensitive to the quality of docking poses. Conversely, our machine-learning based scoring functions are totally insensitive to docking poses (up to 10 Å root-mean square deviations) and just describe atomic element counts. This report does not disqualify using machine learning algorithms to design scoring functions. Protein-ligand element-element distance counts should however be used with extreme caution and only applied in a meaningful way. To avoid developing novel but meaningless scoring functions, we propose that two additional benchmarking tests must be systematically done when developing novel scoring functions: (i) sensitivity to docking pose accuracy, and (ii) ability to enrich hit lists in true actives upon structure-based (docking, receptor-ligand pharmacophore) virtual screening of reference datasets.
Knowledge representation architecture for context interchange mediation: fixed income securities investment examples (2002)

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications obtain the data they need in the form they need it without imposing changes on sources. The KR architecture includes: 1) data models for each source and receiver, 2) subject domain ontologies, containing abstract subject matter conceptualizations that would be known to experienced practitioners in the industry, and 3) context models for each source and receiver that explain how each source or receiver data model implements the abstract concepts from a subject domain ontology. Examples drawn from the fixed income securities industry illustrate problems and solutions enabled by the proposed architecture.
Effect of the concentration of the sizing agent on the carbon fibers surface and interface properties of its composites (2011)

Abstract The effect of the concentration of the sizing agent on performances of carbon fiber and carbon fiber composites has been investigated. Atomic force microscopy (AFM) and scanning electron microscopy (SEM) were applied to characterize carbon fiber surface topographies. At the same time, the single fiber strengths and Weibull distribution were also studied. The interlaminar shear strength and hygrothermal ageing test have been used to study the effect of fiber coatings on the interface of the composites. The analysis of the results shows that the sizing level is essential for improving the surface of carbon fibers and its composite performance. Different concentrations of the sizing agent have different contributions to the wetting performance of carbon fibers. Among the three concentrations of sizing agent studied (1 wt %, 1.5 wt %, and 2 wt %), the optimal sizing level is 1.5 wt %. © 2011 Wiley Periodicals, Inc. J Appl Polym Sci 125:425–432, 2011
Micro-, Mesoporous Boron Nitride-Based Materials Templated from Zeolites (2011)

A second generation of boron nitride-based porous materials has been synthesized by a double nanocasting process via a carbonaceous template as a medium starting from a zeolite. In the multistep process, we coupled several synthetic strategies such as chemical vapor deposition (CVD) and polymer-derived ceramic (PDCs) routes to prepare carbonaceous templates through infiltration of zeolite Y (FAU structure type) by propylene in the gaseous phase then infiltration of the carbonaceous replica having a high micropore volume (0.67 cm3/g) with polyborazylene in the liquid phase followed by pyrolysis and mold destruction. These porous BN-based architectures present a bimodal pore size distribution with a high portion of micropores (∼0.20 cm3/g) that are unambiguously evidenced by nitrogen physisorption based on a nonporous BN reference isotherm. They exhibited a high specific area (570 m2/g), a high pore volume (0.78 cm3/g), and a lack of long-range ordering as evidenced by BET, XRD and TEM experiments. The two first properties allow to open catalyst applications of these materials.
MASR: A Modular Accelerator for Sparse RNNs (2019)

Recurrent neural networks (RNNs) are becoming the de-facto solution for speech recognition. RNNs exploit long-term temporal relationships in data by applying repeated, learned transformations. Unlike fully-connected (FC) layers with single vector matrix operations, RNN layers consist of hundreds of such operations chained over time. This poses challenges unique to RNNs that are not found in convolutional neural networks(CNNs) or FC models, namely large dynamic activation. In this paper we present MASR, a principled and modular architecture that accelerates bidirectional RNNs for on-chip ASR. MASR is designed to exploit sparsity in both dynamic activations and static weights. The architecture is enhanced by a series of dynamic activation optimizations that enable compact storage, ensure no energy is wasted computing null operations, and maintain high MAC utilization for highly parallel accelerator designs. In comparison to current state-of-the-art sparse neural network accelerators (e.g., EIE), MASR provides 2×area 3×energy, and 1.6×performance benefits. The modular nature of MASR enables designs that efficiently scale from resource-constrained low-power IoT applications to large-scale, highly parallel datacenter deployments.
Adhesion and Mechanical Properties of PNIPAM Microgel Films and Their Potential Use as Switchable Cell Culture Substrates (2010)

Abstract Thermoresponsive poly( N ‐isopropylacrylamide) (PNIPAM) microgel films are shown to allow controlled detachment of adsorbed cells via temperature stimuli. Cell response occurs on the timescale of several minutes, is reversible, and allows for harvesting of cells in a mild fashion. The fact that microgels are attached non‐covalently allows using them on a broad variety of (charged) surfaces and is a major advantage as compared to approaches relying on covalent attachment of active films. In the following, the microgels’ physico‐chemical parameters in the adsorbed state and their changes upon temperature variation are studied in order to gain a deeper understanding of the involved phenomena. By means of atomic force microscopy (AFM), the water content, mechanical properties, and adhesion forces of the microgel films are studied as a function of temperature. The analysis shows that these properties change drastically when crossing the critical temperature of the polymer film, which is the basis of the fast cell response upon temperature changes. Furthermore, nanoscale mechanical analysis shows that the films posses a nanoscopic gradient in mechanical properties.
Crowdsourcing with Smartphones (2012)

Smartphones can reveal crowdsourcing's full potential and let users transparently contribute to complex and novel problem solving. This emerging area is illustrated through a taxonomy that classifies the mobile crowdsourcing field and through three new applications that optimize location-based search and similarity services based on crowd-generated data. Such applications can be deployed on SmartLab, a cloud of more than 40 Android devices deployed at the University of Cyprus that provides an open testbed to facilitate research and development of smartphone applications on a massive scale.
Diospyros melanoxylon Leaves: A Rich Source of Pentacyclic Triterpenes (2001)

In a program designed to search for alternative uses of Diospyros melanoxylon leaves (bidi wrapper leaves), extensive chemical screening resulted in the isolation of nine pentacyclic triterpenes and ß -sitosterol. Out of the nine pentacyclic triterpenes, two are hitherto unreported (2 and 4), four are taxonomically significant (7-10), and the remaining three (1, 5 and 6) are known. Significantly, the ursane structures, viz., a -amyrin (0.7%) and ursolic acid (0.56%) and corsolic acid (0.14%), were obtained in fairly large quantities. In view of the excellent surface active properties and interesting biological activities attributed to some of these skeletons, their present isolation is of relevance.
Detection of Multiple Instances of Video Objects (2011)

This paper tackles the issue of retrieving different instances of an object of interest within a given video document or in a video database. The principle consists of considering a semi-global image representation based on an over-segmentation of image frames. An aggregation mechanism is then applied in order to group a set of sub-regions into an object similar to the query, under a global similarity criterion. Two different types of approaches are proposed. The first one involves a greedy, dynamic region construction method. The second is based on simulated annealing, and aims at determining a global optimum of the similarity function. Experimental results show promising performances, with FT and BE detection rates of up to 66% and 86%, respectively.
Semantic Information Processing (1968)

Most of the chapters are slightly edited Ph.D thesis directed toward making intelligent machines. Each solves different problems like resolving ambiguities in word meanings, finding analogies between things, making logical and nonlogical inference, resolving inconsistency in information engaging in coherent discourse with a person and more
Software engineering issues for ubiquitous computing (1999)

In the last decade, we have experienced the advent of the paradigm of ubiquitous computing, with the goal of making computational services so pervasive throughout an environment that they become transparent to the human user. Research in ubiquitous computing raises many challenging issues for computer science in general, but successful research in ubiquitous computing requires the deployment of applications that can survive everyday use, and this in itself presents a great software engineering challenge. In our experience, we have found three features common across many ubiquitous computing applications -transparent interfaces that provide appropriate alternatives to the desktopbound traditional graphical user interface, the ability to modify behavior of a application based on knowledge of its context of use, and the ability to capture live experiences for later recall. Building ubiquitous computing applications with these features raises software engineering problems in toolkit design, software structuring for separation of concerns and component integration. We will clarify these problems and discuss our approaches towards their solution.
Toxicity, Dosage, and Efficacy of Vinorelbine (Navelbine) in Dogs with Spontaneous Neoplasia (2004)

Abstract The purpose of this study was to evaluate short-term adverse effects and determine a safe dosage for vinorelbine (Navelbine)–a new semisynthetic vinca alkaloid–in dogs with malignant tumors. Nineteen dogs were treated with vinorelbine as a 5-minute IV infusion every 7 days at starting dosages ranging from 10 to 20 mg/m2. The median number of treatments per dog was 7 (range, 1–11). The maximum tolerated dosage varied between 15 and 18 mg/m2, and a starting dosage of 15 mg/m2 is recommended. Neutropenia was the dose-limiting toxicity. Although efficacy was a secondary endpoint of this dosage-finding study, 2 dogs with metastatic bronchoalveolar carcinoma experienced a partial response for an overall response rate of 12.5% in 16 dogs with gross measurable disease. Three dogs with microscopic disease were treated (incompletely excised bronchoalveolar carcinoma or lymph node metastatic disease). Two died of pulmonary metastatic disease 113 and 196 days posttreatment, and 1 is still alive after at least 730 days. The well-tolerated toxicity profile and clinical activity observed in dogs with bronchoalveolar carcinoma warrants further investigation
Report on Ethylmorphine in Syrups (1950)

Journal Article Report on Ethylmorphine in Syrups Get access F J McNall F J McNall Associate Referee U. S. Food and Drug Administration, Federal Security Agency, Cincinnati, Ohio Search for other works by this author on: Oxford Academic Google Scholar Journal of Association of Official Agricultural Chemists, Volume 33, Issue 2, 1 May 1950, Pages 194–195, https://doi.org/10.1093/jaoac/33.2.194 Published: 09 February 2020
Pharmacodynamic Profile of GSK2140944 against Methicillin-Resistant Staphylococcus aureus in a Murine Lung Infection Model (2015)

ABSTRACT GSK2140944 is a novel bacterial type II topoisomerase inhibitor with in vitro activity against key causative respiratory pathogens, including methicillin-resistant Staphylococcus aureus (MRSA). We described the pharmacodynamics of GSK2140944 against MRSA in the neutropenic murine lung infection model. MICs of GSK2140944 were determined by broth microdilution. Plasma and epithelial lining fluid (ELF) pharmacokinetics were evaluated to allow determination of pulmonary distribution. Six MRSA isolates were tested. GSK2140944 doses of 1.56 to 400 mg/kg of body weight every 6 h (q6h) were utilized. Efficacy as the change in log 10 CFU at 24 h compared with 0 h controls and the area under the concentration-time curve for the free, unbound fraction of a drug ( f AUC)/MIC required for various efficacy endpoints were determined. GSK2140944 MICs were 0.125 to 0.5 mg/liter against the six MRSA isolates. ELF penetration ratios ranged from 1.1 to 1.4. Observed maximal decreases were 1.1 to 3.1 log 10 CFU in neutropenic mice. The mean f AUC/MIC ratios required for stasis and 1-log-unit decreases were 59.3 ± 34.6 and 148.4 ± 83.3, respectively. GSK2140944 displayed in vitro and in vivo activity against MRSA. The pharmacodynamic profile of GSK2140944, as determined, supports its further development as a potential treatment option for pulmonary infections, including those caused by MRSA.
Differentially private data analysis of social networks via restricted sensitivity (2013)

We introduce the notion of restricted sensitivity as an alternative to global and smooth sensitivity to improve accuracy in differentially private data analysis. The definition of restricted sensitivity is similar to that of global sensitivity except that instead of quantifying over all possible datasets, we take advantage of any beliefs about the dataset that a querier may have, to quantify over a restricted class of datasets. Specifically, given a query f and a hypothesis HH about the structure of a dataset D, we show generically how to transform f into a new query fHH whose global sensitivity (over all datasets including those that do not satisfy HH) matches the restricted sensitivity of the query f. Moreover, if the belief of the querier is correct (i.e., D ∈ HH) then fHH(D) = f(D). If the belief is incorrect, then fHH(D) may be inaccurate.
MetaSpider: Meta‐searching and categorization on the Web (2001)

Abstract It has become increasingly difficult to locate relevant information on the Web, even with the help of Web search engines. Two approaches to addressing the low precision and poor presentation of search results of current search tools are studied: meta‐search and document categorization. Meta‐search engines improve precision by selecting and integrating search results from generic or domain‐specific Web search engines or other resources. Document categorization promises better organization and presentation of retrieved results. This article introduces MetaSpider, a meta‐search engine that has real‐time indexing and categorizing functions. We report in this paper the major components of MetaSpider and discuss related technical approaches. Initial results of a user evaluation study comparing MetaSpider, NorthernLight, and MetaCrawler in terms of clustering performance and of time and effort expended show that MetaSpider performed best in precision rate, but disclose no statistically significant differences in recall rate and time requirements. Our experimental study also reveals that MetaSpider exhibited a higher level of automation than the other two systems and facilitated efficient searching by providing the user with an organized, comprehensive view of the retrieved documents.
Hydrosilylations: Hydrosilylation of Olefins (2005)

Abstract For Abstract see ChemInform Abstract in Full Text.
Industrial Production of the Cell Protectant Ectoine: Protection Mechanisms, Processes, and Products (2014)

Bacteria, Archaea and Eukarya can adapt to saline environments by accumulating compatible solutes in order to maintain an osmotic equilibrium. Compatible solutes are of diverse chemical structure (sugars, polyols, amino acid derivatives) and are beneficial for bacterial cells not only as osmoregulatory solutes, but also as protectants of proteins by mitigating detrimental effects of freezing, drying and high temperatures. The aspartate derivative ectoine is a wide spread compatible solute in Bacteria and possesses additional protective properties compared with other compatible solutes, and stabilizes even whole cells against stresses such as UV radiation or cytotoxins. The protective properties of ectoine for proteins can be explained by its strong (kosmotropic) interaction with water and subsequent exclusion from protein surface, the decrease of the solubility of the peptide backbone and the strengthening of intramolecular hydrogen bonds (secondary structures). The stabilizing and UV-protective properties of ectoine attracted industry, which saw the potential to market ectoine as a novel active component in health care products and cosmetics. In joint efforts of industry and research large-scale fermentation procedures have been developed with the halophilic bacterium Halomonas elongata used as a producer strain. The two key technologies that allow for the annual production of ectoine on a scale of tons are the bacterial milking procedure and the development and application of ectoine-excreting mutants (“leaky” mutant). The details of these two procedures including the strain development and fermentation processes will be introduced and current and future applications of ectoine will be discussed. Keywords: Bacterial milking, batch fermentation, continuous culture, ectoine excretion, Hofmeister effect, kosmotrope, “leaky” mutant, osmophobic effect, protein protection, preferential exclusion.