gebhart/patrepeval huggingface dataset:
Event Based Robot Prognostics Using Principal Component Analysis (2014)

As industrial systems are getting complicated, challenges in coming up with efficient maintenance strategies which include predicting failures in the system become important industry specific research topic. Traditionally, research focuses on developing failure prediction models based on physical understanding of the system. But, development of such models are often time consuming and labour intensive for complex systems. In recent past, due to advent of cheaper data collection mechanisms and efficient algorithms, data driven approaches for predicting failures are gaining significant interest in industrial research community. In this paper, we provide a Principal component Analysis (PCA) based approach of failure prediction in industrial robots using event log information. The event logs are collected through remote service set-up from a robot controller. The proposed method will reduce the dimensionality of the original data which consist of interrelated events while retaining the variation present in the data. Using PCA and multivariate statistics such as Hotelling T2, Q Residuals and Q contributions charts, we are able to detect abnormal behavior of event pattern within 30 days before failure.
Synthesis of New Quinoline Derivatives. (2007)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Long‐term cohort study of chronic hepatitis C according to interferon efficacy (2011)

The risk ratio of overall death and HCC development was significantly reduced in SVR patients, whereas no significant reduction was found in non-SVR patients in a long-term cohort study.
Tuberculosis: A search for novel therapy starting with natural products (1998)

The reemergence of tuberculosis and closely related diseases as significant public health problems is briefly reviewed with particular emphasis on the exacerbating role of AIDS and multiple drug resistance. Screening methods available for discovering new chemical entities active against resistant strains are discussed and their use in screening extracts and compounds for activity is illustrated with a number of newly discovered structures being presented. In particular, the properties of the potent and structurally novel indoloquinazolinone alkaloid, tryptanthrin, is described. Many analogs of this lead structure were synthesized by combinatorial and multiple parallel synthetic techniques and evaluated in vitro and in vivo for their potential in the chemotherapy of human infections.
Power flow analysis of integrated energy microgrid considering non‐smooth characteristics (2021)

Abstract With the development of electric energy substitution technologies such as electric auxiliary heating, the relationship between electric energy and thermal energy is getting closer, and it is of great significance to in‐depth study of integrated energy micro‐grids containing electricity and heat. However, the integrated energy microgrid power flow (PF) model has non‐smooth characteristics such as distributed generations (DGs) limits, converter stations limits and the unknown direction of pipeline mass flow, which can easily lead to the failure of PF convergence. This paper establishes an integrated energy microgrid model including three‐phase unbalanced AC/DC hybrid microgrid and heating system. Firstly, the correctness of the converter station model is verified by electromagnetic transient simulation, and then the non‐smooth constraint models considering DG and converter station's reactive power limits and pipeline mass flow direction unknown are established based on complementary constraints, and the non‐smooth constraints are smoothed by Fischer‐Burmeister (FB) function. Finally, the integrated energy microgrid is used for PF analysis, and the results verify the rationality of the model and the effectiveness of the proposed non‐smooth characteristics treatment method.
Is pituitary gene therapy realistic? (2001)

Current therapies for pituitary tumours are moderately successful in many cases but still suffer from significant limitations, with relatively poor long-term rates of endocrine cure from surgery, and long-term hypopituitarism after radiotherapy. Even in the case of the most readily treatable tumours, prolactinomas, medical therapy with dopamine agonists is limited by lack of response or side-effects in up to 10% of patients. This has led to increasing interest in the application of our knowledge of pituitary cell and molecular biology to evaluate the potential of gene therapy. Various vectors are available to facilitate gene delivery, and recombinant adenoviruses have been studied in detail because of their ability to transduce the postmitotic, nondividing cells of the pituitary gland. Various studies with reporter genes such as beta-galactosidase have demonstrated high efficiency and long lasting expression of adenoviral transgenes in cultured pituitary cells in vitro. The feasibility of high level transgene expression has also been shown in vivo, but so far this requires stereotaxic intrapituitary injection to achieve adequate transduction. Ablation of pituitary cells has been demonstrated in cultured cell lines and in subcutaneous tumours in nude mice, though alternative animal models will be required to evaluate efficacy in more slowly proliferating tumours as found in man. Inflammatory responses have been documented in the pituitary gland as in other tissues, and this will require the evaluation of modified vectors to avoid significant adverse effects before human applications can be considered. In summary, gene therapy for pituitary disease is likely to be feasible in the future, but will require careful and extensive evaluation of efficacy and safety, using a variety of possible methods of gene delivery.
A human PKD1 transgene generates functional polycystin-1 in mice and is associated with a cystic phenotype (2000)

Three founder transgenic mice were generated with a 108 kb human genomic fragment containing the entire autosomal dominant polycystic kidney disease (ADPKD) gene, PKD1, plus the tuberous sclerosis gene, TSC2. Two lines were established (TPK1 and TPK3) each with approximately 30 copies of the transgene. Both lines produced full-length PKD1 mRNA and polycystin-1 protein that was developmentally regulated, similar to the endogenous pattern, with expression during renal embryogenesis and neonatal life, markedly reduced at the conclusion of renal development. Tuberin expression was limited to the brain. Transgenic animals from both lines (and the TPK2 founder animal) often displayed a renal cystic phenotype, typically consisting of multiple microcysts, mainly of glomerular origin. Hepatic cysts and bile duct proliferation, characteristic of ADPKD, were also seen. All animals with two copies of the transgenic chromosome developed cysts and, in total, 48 of the 100 transgenic animals displayed a cystic phenotype. To test the functionality of the transgene, animals were bred with the Pkd1(del34) knockout mouse. Both transgenic lines rescued the embryonically lethal Pkd1(del34/del34) phenotype, demonstrating that human polycystin-1 can complement for loss of the endogenous protein. The rescued animals were viable into adulthood, although more than half developed hepatic cystic disease in later life, similar to the phenotype of older Pkd1(del34/+) animals. The TPK mice have defined a minimal area that appropriately expresses human PKD1. Furthermore, this model indicates that over-expression of normal PKD1 can elicit a disease phenotype, suggesting that the level of polycystin-1 expression may be relevant in the human disease.
Bottom‐up performance analysis of focal‐plane mixed‐signal hardware for Viola–Jones early vision tasks (2014)

Summary Focal‐plane mixed‐signal arrays have traditionally been designed according to the general claim that moderate accuracy in processing is affordable. The performance of their circuitry has been analyzed in these terms without a comprehensive study of the ultimate consequences of such moderate accuracy. In this paper, for the first time to the best of our knowledge, we do carry out this study. We move expectable performance of mixed‐signal image processing hardware directly into the vision algorithm making use of it. This permits to close a wider design loop, enabling a more aggressive design of this kind of hardware provided that the algorithm, at the highest level—semantic interpretation of the scene—, can afford it. Thus, we present a thorough analysis of the non‐idealities associated with the implementation of a QVGA array tailored for the distinctive characteristics of the Viola–Jones processing framework. The resulting deviation models are then introduced in the processing flow of this framework provided by the OpenCV library. We have found, contrary to what could be expected, that these deviations do not necessarily degrade the performance of the Viola–Jones algorithm. They could be even beneficial for certain high‐level specifications. Additionally, we demonstrate the architectural advantages of our approach: exploitation of focal‐plane distributed memory and ultra‐low‐power operation. Copyright © 2014 John Wiley &amp; Sons, Ltd.
Smart Processing of 3D Micro Ceramic Devices by CAD/CAM Micro-Stereolithography and Sintering (2007)

Smart processing is a new concept of materials processing aiming to produce new material functions or improve performances through fine controlling and minimizing process energy and resources. We are developing various 3D micro ceramic devices by using CAD/CAM stereolithography and successive sintering as smart processing. Design and processing of micro gears and photonic crystals made of dense ZrO2 toughened Al2O3 (ZTA) and Al2O3 toughened SiO2 composites are demonstrated as well as their final mechanical and electromagnetic properties.
A secure active network environment architecture: realization in SwitchWare (1998)

An active network is a network infrastructure which is programmable on a per-user or even per-packet basis. Increasing the flexibility of such network infrastructures invites new security risks. Coping with these security risks represents the most fundamental contribution of active network research. The security concerns can be divided into those which affect the network as a whole and those which affect individual elements. It is clear that the element problems must be solved first, since the integrity of network-level solutions will be based on trust in the network elements. In this article we describe the architecture and implementation of a secure active network environment (SANE), which we believe provides a basis for implementing secure network-level solutions. We guarantee that a node begins operation in a trusted state with the AEGIS secure bootstrap architecture. We guarantee that the system remains in a trusted state by applying dynamic integrity checks in the network element's runtime system, using a novel naming system, and applying node-to-node authentication when needed. The construction of an extended LAN is discussed.
Theorizing Film Through Contemporary Art (2021)

As the cinematic experience becomes subsumed into today&#39;s ubiquitous technologies of seeing, contemporary artworks lift the cinematic out of the immateriality of the film screen and separate it into its physical components within the gallery space. How to read these reformulations of the cinematic medium - and their critique of what it is and has been? In Theorizing Cinema Through Contemporary Art: Expanding Cinema, leading film theorists consider artworks that incorporate, restage, and re-present cinema&#39;s configuration of the key categories of space, experience, presence/absence, production and consumption, technology, myth, perception, event, and temporality, so interrogating the creation, appraisal, and evolution of film theory as channeled through contemporary art. This book takes film theory as a blueprint for the moving image, and juxtaposes it with artworks that render cinema as a material object. In the process, it unfolds a complex relationship between a theory and a practice that have commonly been seen as virtually incompatible, renewing our understanding of each and, more to the point, their interactions.
Review : The Materials Chemistry of Inorganic Catalysts (2002)

The factors that govern the materials chemistry of a variety of new catalysts are identified and illustrated. Prominence is given mainly to nanoporous (and some nanoparticle) catalysts, which are of high relevance in ‘clean’ technology and ‘green’ chemistry. In particular, molecular sieve catalysts for the regioselective oxyfunctionalization of alkanes, clay catalysts for Brønsted-acid catalysed ester formation, titanium ion-centred epoxidation catalysts, enantioselective catalysts based on organometallic moieties heterogenized within mesoporous silicas, and Fischer–Tropsch catalysts for both the production of fuel and desirable chemical commodities are described. A single-step, solvent-free nanoporous, bifunctional catalyst for the benign ammoximation of cyclohexanone (leading to caproclactam) is also outlined, as is the lure and limitations of combinatorial chemistry for the design of new catalysts. Manuscript received: 15 October 2001. Final version: 2 November 2001.
Automatic acquisition of adjectival subcategorization from corpora (2005)

This paper describes a novel system for acquiring adjectival subcategorization frames (SCFs) and associated frequency information from English corpus data. The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser. It uses a powerful pattern-matching language to classify GRs into frames hierarchically in a way that mirrors inheritance-based lexica. The experiments show that the system is able to detect SCF types with 70% precision and 66% recall rate. A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition.
AI EDAM Special Issue, August 2017, Vol. 31, No. 3 (2016)

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SERBP1 Is a Component of the Liver Receptor Homologue-1 Transcriptional Complex (2015)

Liver receptor homologue-1 (LRH1) is an orphan nuclear receptor that has been shown to play a role in the transcriptional regulation of pathways involved in cancer. Elucidating the components of the LRH1 transcriptional complex to better understand endogenous regulation of the receptor as well as its role in cancer remains a high priority. A sub-cellular enrichment strategy coupled with proteomic approaches was employed to identify putative LRH1 co-regulators. Nuclear fractionation protocol was essential for detection of LRH1 peptides by mass spectrometry (MS), with most peptides being observed in the insoluble fraction (receptor bound to DNA). SERBP1 and ILF3 were identified as LRH1 interacting partners by both Western blot and MS/MS analysis. Receptor knockdown by siRNA showed an increase in SERBP1 expression, while ILF3 expression was unchanged. In contrast, receptor overexpression decreased only SERBP1 mRNA levels. Consistent with these data, in a promoter:reporter assay, binding of LRH1 to the promoter region of SERBP1 resulted in a decrease in the expression level of the reporter gene, subsequently inhibiting transcription. Given the receptor's role in cancer progression, the study here elucidates additional transcriptional machinery involved in LRH1 signaling and potentially provides new targets for therapeutics development.
Using database marketing techniques to enhance your one‐to‐one marketing initiatives (1998)

Asserts that there are two approaches to successful database marketing: cognitive and behavioral analysis. In this way, marketers can garner a clear understanding of what customers and prospects “look like”. Reviews the processes involved in database marketing. Suggests to marketers the best processes to adopt. Describes the advantages of the mathematical computation RFM (recency, frequency, and monetary value) in consumer behavioral analysis. Provides a description of how the system can be implemented by practitioners.
Dimerization of alkenes by palladium- and rhodium chlorides (1967)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDimerization of alkenes by palladium- and rhodium chloridesArthur D. Ketley, L. P. Fisher, Alvin J. Berlin, Charles R. Morgan, E. H. Gorman, and Thomas R. SteadmanCite this: Inorg. Chem. 1967, 6, 4, 657–663Publication Date (Print):April 1, 1967Publication History Published online1 May 2002Published inissue 1 April 1967https://pubs.acs.org/doi/10.1021/ic50050a005https://doi.org/10.1021/ic50050a005research-articleACS PublicationsRequest reuse permissionsArticle Views303Altmetric-Citations45LEARN 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
Improving Protection against Viral Aerosols Through Development of Novel Decontamination Methods and Characterization of Viral Aerosol (2012)

Abstract : Although respirators and filters are designed to prevent the spread of pathogenic aerosols, a stockpile shortage is anticipated during the next flu pandemic. Contact transfer and reaerosolization are also concerns. An option to address these potential problems is to decontaminate used respirators/filters for reuse. In this research a droplet/aerosol loading chamber was built and used in decontamination testing to proved a fair comparison of the performance of different decontamination techniques, including antimicrobial chemical agents, microwave irradiation and ultraviolet (UV) irradiation, which were incorporated into filtration systems and tested. The inactivation efficacy of dialdehyde cellulose and starch filters s biocidal filters was investigated. In sufficiently humid conditions both media showed higher removal efficiency and better disinfection capability at lower pressure drop than conventional media. In microwave-assisted filtration systems temperature (T) was found to be a key factor. Relative humidity (RH) was another pivotal parameter at warm-to-hot-water temperatures but became insignificant above 90 C. An examination of the effect of T and RH on UV inactivation revealed that absorption of UV by water and shielding of viruses inside aggregates suppressed inactivation. Varying the spray medium showed that artificial saliva (AS) and beef serum extract (BE) produce a protective effect against UV compared to deionized (DI) water, that RH was not a factor in stability of MS2 coli phage sprayed in AS or BE, and that infectious MS2 particles in DI water displayed a volume-based size distribution but in AS and in BE the size dependence was of a lower order. Whereas AS and BE enhanced stability, adding salts had the opposite effect.
High‐Performance Epoxy Nanocomposites Reinforced with Three‐Dimensional Carbon Nanotube Sponge for Electromagnetic Interference Shielding (2015)

Light‐weight and high‐performance electromagnetic interference (EMI)‐shielding epoxy nanocomposites are prepared by an infiltration method using a 3D carbon nanotube (CNT) sponge as the 3D reinforcement and conducting framework. The preformed, highly porous, and electrically conducting framework acts as a highway for electron transport and can resist a high external loading to protect the epoxy nanocomposite. Consequently, a remarkable conductivity of 148 S m −1 and an outstanding EMI shielding effectiveness of around 33 dB in the X‐band are achieved for the epoxy nanocomposite with 0.66 wt% of CNT sponge, which is higher than that achieved for epoxy nanocomposites with 20 wt% of conventional CNTs. More importantly, the CNT sponge provides a dual advantage over conventional CNTs in its prominent reinforcement and toughening of the epoxy composite. Only 0.66 wt% of CNT sponge significantly increases the flexural and tensile strengths by 102% and 64%, respectively, as compared to those of neat epoxy. Moreover, the nanocomposite shows a 250% increase in tensile toughness and a 97% increase in elongation at break. These results indicate that CNT sponge is an ideal functional component for mechanically strong and high‐performance EMI‐shielding nanocomposites.
Fast Automatic Parameter Selection for MRI Reconstruction (2020)

This paper proposes an automatic parameter selection framework for optimizing the performance of parameter-dependent regularized reconstruction algorithms. The proposed approach exploits a convolutional neural network for direct estimation of the regularization parameters from the acquired imaging data. This method can provide very reliable parameter estimates in a computationally efficient way. The effectiveness of the proposed approach is verified on transform-learning-based magnetic resonance image reconstructions of two different publicly available datasets. This experiment qualitatively and quantitatively measures improvement in image reconstruction quality using the proposed parameter selection strategy versus both existing parameter selection solutions and a fully deep-learning reconstruction with limited training data. Based on the experimental results, the proposed method improves average reconstructed image peak signal-to-noise ratio by a dB or more versus all competing methods in both brain and knee datasets, over a range of subsampling factors and input noise levels.
Cubic crystals from cubic colloids (2011)

We have studied the crystallization behavior of colloidal cubes by means of tunable depletion interactions. The colloidal system consists of novel micron-sized cubic particles prepared by silica deposition on hematite templates and various non-adsorbing watersoluble polymers as depletion agents. We have found that under certain conditions the cubes self-organize into crystals with a simple cubic symmetry, which is set by the size of the depletant. The dynamic of crystal nucleation and growth is investigated, monitoring the samples in time by optical microscopy. Furthermore, by using temperature sensitive microgel particles as depletant it is possible to fine tune depletion interactions to induce crystal melting. Assisting crystallization with an alternating electric field improves the uniformity of the cubic pattern allowing the preparation of macroscopic (almost defect-free) crystals that show visible Bragg colors.