gebhart/patrepeval huggingface dataset:
Triangular Current: Method for Measuring Hysteresis Loops of Ferroelectric Capacitors (2004)

In this paper, we present a triangular current (TC) method for measuring the hysteresis loops of Pb(Zr,Ti)O 3 capacitors prepared on Pt/Ta/SiO 2 /Si substrates. Like the constant current (CC) method, this method is a current source mode method for obtaining hysteresis loops. By applying a triangular charging current to a specimen, a measured voltage profile, which is almost noiseless and smooth in the high-field region, is obtained and its hysteresis curve can be determined using integral calculus to convert the charging current to charge. Under various charging conditions, the similarity of the obtained hysteresis curves implies that the step charging current and number of steps do not affect the measured results. Moreover, the parasitic effect of the probe setup is found to possibly increase the maximum polarization of the ferroelectric capacitor as the area of the capacitor is reduced. The TC method can be utilized to determine the parasitic capacitance of the probe setup and then can easily determine the corrected hysteresis loops of small capacitors. These findings reveal that the TC method constitutes a new method for measuring the hysteresis loops of ferroelectric capacitors.
<title>Stochastic resonance in a passive bistable system</title> (1992)

The responses of an all-optical bistable system and an analog model of the Brownian motion in the symmetric Duffing potential to a weak periodic force in the presence of noise are investigated. The appearance of a stochastic resonance in both cases is explained in the theory of a linear response.
LC-filter resonance cancellation with DPWM inverters in adjustable speed drives (2015)

Discontinuous PWM methods cannot easily be used in LC-filtered inverters for adjustable speed drives, as it causes resonances in the filter. This paper present a new method to cancel the resonance and compares this method to previously proposed methods. Wide band gap devices are entering the market offering high switching frequencies and low switching loss due to fast turn on and turn off. The fast turn on and turn off generates high dV/dt, which must be filtered e.g. to protect motors from bearing stress and avoid EMC issues. Discontinuous PWM methods can be reduced to reduce the losses in the inverter and filter. Instead of abruptly clamp in one of the inverter legs and cause resonance in the filter. This method will charge or discharge the filter capacitor before clamping, this way the capacitor current is zero, and the capacitor voltage is equal to the average inverter voltage. Thereby, no resonance will be generated in the filter. Simulations show that the proposed method effectively reduces the resonance in the filter.
Impact of enhanced compliance initiatives on the efficacy of rosuvastatin in reducing low density lipoprotein cholesterol levels in patients with primary hypercholesterolaemia (2008)

Rosuvastatin was effective in lowering LDL-C values in patients with hypercholesterolaemia to the 1998 European target at week 24. However, compliance enhancement tools did not increase the number of patients achieving any European targets for plasma lipids.
Sparse Representation for Gaussian Process Models (2000)

All in-text\treferences\tunderlined\tin\tblue\tare\tlinked\tto\tpublications\ton\tResearchGate, letting you\taccess\tand\tread\tthem\timmediately.
Classification of autistic individuals and controls using cross-task characterization of fMRI activity (2015)

Multivariate pattern analysis (MVPA) has been applied successfully to task-based and resting-based fMRI recordings to investigate which neural markers distinguish individuals with autistic spectrum disorders (ASD) from controls. While most studies have focused on brain connectivity during resting state episodes and regions of interest approaches (ROI), a wealth of task-based fMRI datasets have been acquired in these populations in the last decade. This calls for techniques that can leverage information not only from a single dataset, but from several existing datasets that might share some common features and biomarkers. We propose a fully data-driven (voxel-based) approach that we apply to two different fMRI experiments with social stimuli (faces and bodies). The method, based on Support Vector Machines (SVMs) and Recursive Feature Elimination (RFE), is first trained for each experiment independently and each output is then combined to obtain a final classification output. Second, this RFE output is used to determine which voxels are most often selected for classification to generate maps of significant discriminative activity. Finally, to further explore the clinical validity of the approach, we correlate phenotypic information with obtained classifier scores. The results reveal good classification accuracy (range between 69% and 92.3%). Moreover, we were able to identify discriminative activity patterns pertaining to the social brain without relying on a priori ROI definitions. Finally, social motivation was the only dimension which correlated with classifier scores, suggesting that it is the main dimension captured by the classifiers. Altogether, we believe that the present RFE method proves to be efficient and may help identifying relevant biomarkers by taking advantage of acquired task-based fMRI datasets in psychiatric populations.
Outcome reporting in randomised controlled trials and meta-analyses of appendicitis treatments in children: a systematic review (2015)

There is a wide heterogeneity in the selection and definition of outcomes in paediatric appendicitis, and little overlap in outcomes used across studies. A paucity of studies report patient relevant outcomes within the 'Life Impact' core area. These factors preclude meaningful evidence synthesis, and pose challenges to designing prospective clinical trials and cohort studies. The development of a COS for paediatric appendicitis is warranted.
Molecular Dynamics Simulations of Polyamide Oligomers Adsorbed on Graphite (1995)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMolecular Dynamics Simulations of Polyamide Oligomers Adsorbed on GraphiteMakoto Yoneya and Yasushi IwakabeCite this: Langmuir 1995, 11, 9, 3516–3522Publication Date (Print):September 1, 1995Publication History Published online1 May 2002Published inissue 1 September 1995https://pubs.acs.org/doi/10.1021/la00009a038https://doi.org/10.1021/la00009a038research-articleACS PublicationsRequest reuse permissionsArticle Views119Altmetric-Citations8LEARN 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
Effects of photocatalytic TiO2 nanoparticles on molecular weight and elemental distribution of natural organic matter (2016)

In dieser Arbeit werden TiO2 Nanopartikel verwendet, um kommerzielle Stand-ard Pehokee Peat Huminsäure (Pahokee Peat humic acid, PPHA) abzubauen. Die herbeigeführten Veränderungen der PPHA werden durch ein HPSEC-UV/Vis-Fluoreszenz-ICP-MS System beobachtet. Zusätzlich werden ein UV/Vis Spectrophotometer und ein Spectrofluorometer zur Analyse verwendet. Ein Equilibrium-Experiment (Zeitstudie) sowie eine Untersuchung der photo-katalytischen TiO2 Aktivität und der Adsorptionsisotherme wurden vor dem Irra-diations-Experiment durchgeführt, um die experimentellen Gegebenheiten festzustellen. Die Ergebnisse dieser Studie bekräftigen, dass die photokatalytische Aktivität von TiO2 Nanopartikeln PPHA Moleküle mit hohem molekularem Gewicht (high molecular weight, HMW) zu LMW Verbindungen abbaut. Die Veränder-ung in der Verteilung des molekularen Gewichts wird begleitet von einer Re-duktion der UV-Vis Absorption. Die Änderung der Absorptionsraten deutet auf eine Verringerung der Aromatizität und eine reduzierte Wahrscheinlichkeit der Entstehung von DBPs hin. Fluoreszenz und Element-Verteilung werden ebenfalls von photokatalytischem Abbau beeinflusst. Allerdings steht das Ausmaß der Degradation nicht im Zusammenhang mit der Konzentration von TiO2 Nanopartikeln, sondern mit der Adsorption von PPHA an der Oberfläche von TiO2.
Dynamic Flow Model for Real-Time Application in Wind Farm Control (2017)

For short-term power predictions and estimations of the available power during curtailment of a wind farm, it is necessary to consider the flow dynamics and aerodynamic interactions of the turbines. In this paper, a control-oriented dynamic two-dimensional wind farm model is introduced that aims to incorporate real-time measurements such as flow velocities at turbine locations to estimate the ambient wind farm flow. The model is intended to derive flow predictions for real-time applications. Since fully resolved computational fluid dynamics are too CPU-intensive for such a task, the dynamic model presented in this paper relies on an approximation of the flow equations in a two-dimensional framework. A semi-Lagrangian advection scheme and a step-wise flow solver together offer fast calculation speed, which scales linearly with the number of grid points. In order to emulate effects of realistic three-dimensional wind farm flow, a relaxation of the two-dimensional continuity equation is presented. Furthermore, with little extra computational expense, additional dynamic state variables for various possible applications can be propagated along the wind flow. For instance, a dynamic confidence parameter can provide estimations of the accuracy of flow predictions, while a turbulence parameter adds the possibility to estimate wake induced loads on downstream turbines. In order to demonstrate the performance and validity of the new model it is compared with other models. At first a two turbine reference case is compared with a steady-state model and secondly with results obtained by the dynamic wind farm flow model WFSim. Finally a small wind farm is simulated in order to show the computational scaling of the model.
Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets (2021)

Through the use of cutting-edge unsupervised classification techniques from statistics and machine learning, we characterise symptom phenotypes among symptomatic SARS-CoV-2 PCR-positive community cases. We first analyse each dataset in isolation and across age bands, before using methods that allow us to compare multiple datasets. While we observe separation due to the total number of symptoms experienced by cases, we also see a separation of symptoms into gastrointestinal, respiratory and other types, and different symptom co-occurrence patterns at the extremes of age. In this way, we are able to demonstrate the deep structure of symptoms of COVID-19 without usual biases due to study design. This is expected to have implications for the identification and management of community SARS-CoV-2 cases and could be further applied to symptom-based management of other diseases and syndromes.
A newly identified role for Tomato bushy stunt virus P19 in short distance spread (2002)

SUMMARY This study identified a role for the Tomato bushy stunt virus (TBSV) p19 protein (P19) in local lesion expansion on cowpea (Vigna unguiculata), and cell-to-cell movement in pepper (Capsicum annuum). The contribution to short distance spread in both hosts was strongly influenced by a cluster of charged amino acids between positions 72 and 78 on the 172 amino acid P19. Charged amino acids near this region between positions 43 and 85 were required for long distance spread in pepper. These results indicate that the central domain of P19 plays a key role for its activities in TBSV movement and that additional regions on this protein contribute to virus spread in a host-specific manner.
Elektrochemische Detektion von RNA mittels Nukleinsäurehybridisierung (2009)

Die Nukleinsaureanalytik, insbesondere die RNA-Analytik, ist ein wichtiges Werkzeug fur die Diagnostik von pathogenen Mikroorganismen in der Medizin und Lebensmitteluberwachung. Weiterhin besitzt der Nachweis von RNA-Molekulen bei der Transkriptomanalytik in der Grundlagenforschung eine zentrale Bedeutung. Ziel der Arbeit war die Entwicklung neuartiger Detektionsverfahren fur unterschiedliche RNA-Spezies. Die schnelle und einfache Durchfuhrbarkeit, aber auch die Parameter Selektivitat und Sensitivitat der entwickelten Techniken waren dabei von besonderer Bedeutung. Zunachst wurde die Detektionsmethode anhand der Identifizierung von Mikroorganismen mittels 16S rRNA-Sandwich-Hybridisierung etabliert und optimiert. Mit Hilfe von 16S rRNA-Sequenzdatenbanken wurden geeignete Sondensequenzen zur spezifischen Erkennung von verschiedenen Bakterien ermittelt. Die prokaryontische 16S rRNA wurde unter Verwendung des thermostabilen Reporterenzyms Esterase 2 aus Alicyclobacillus acidocaldarius durch eine Ein-Schritt Sandwich-Hybridisierung nachgewiesen. Ein Spezies-spezifisches Oligodesoxynukleotid wird auf der Goldelektrode eines elektrochemisch-auslesbaren Biochips immobilisiert und bindet die bakterielle 16S rRNA. Zeitgleich bindet ein kovalentes Konjugat aus Esterase 2 und Detektions-Oligodesoxynukleotid an einem konservierten Bereich der 16S rRNA. Nach Optimierung dieses Nachweissystems wurde eine Nachweisgrenze von 500 Kolonie bildenden Einheiten Escherichia coli ermittelt. Neben der guten Sensitivitat konnte eine gute Spezifitat bis hin zur Stammdiskriminierung gezeigt werden. Gleichzeitig konnten mehrere Bakterien in einem Ansatz identifiziert werden. Die Validierung dieses neuartigen bakteriellen Nachweissystems erfolgte mit realen Fleischproben. Das Hygienerecht der EU verlangt die Kontrolle mikrobiologischer Kriterien wahrend der gesamten Prozesskette der Lebensmittelherstellung. Klassische mikrobiologische Verfahren sind hierfur jedoch nur bedingt geeignet. Biosensoren in integrierten Analysesystemen konnten in Zukunft hierfur Verwendung finden und die Analytik beschleunigen und vereinfachen. Die Optimierung der Probenvorbereitung und der Biochipmessung fuhrte zu einem Gesamtanalyseprozess, bestehend aus Kurzanreicherung, RNA-Isolierung und Biochipmessung, welcher den spezifischen E. coli Nachweis von einer Kolonie bildenden Einheit pro mL Probe innerhalb von sieben Stunden ermoglicht. Daher ist diese Methode prinzipiell sehr gut fur die Anwendung in der Lebensmittelproduktion geeignet. Eine Signalamplifikation der elektrochemischen Nukleinsauredetektion wurde durch Herstellung eines neuartigen Reporterenzymkonjugats erreicht. Dazu wurden mehrere Esterase 2-Molekule auf der Oberflache eines Polyamidoamin-Dendrimers der Generation 3 verankert, wahrend ein Detektions-Oligodesoxynukleotid mit dem Kern des Dendrimers kovalent verknupft wurde. Die Selektivitat der Bakterienidentifizierung blieb bei Verwendung dieses Reporterenzymkonjugats unverandert gut. Jedoch wurde bei Verwendung des mehrfach markierten Dendrimers eine…
"Comparison of Adult Somatic and Cysteine Proteinas Antigens of Fasciola gigantica in Enzyme Linked Immunosorbent Assay for Serodiagnosis of Human Fasciolosis" (2002)

Fasciolosis caused by Fasciola hepatica and F.gigantica is one of the major public health problems in the world and in Iran. Considering that stool examination for Fasciola eggs is not a sensitive method and only 25% of infected patients pass the eggs in the faeces , and immunodiagnosis methods are more applicable for this purpose, the present study was conducted to compare the somatic (S) and cysteine proteinase (CP) antigens of F.gigantica in IgG-ELISA to diagnose human fasciolosis. This has been the first report on this case so far in Iran. Serum samples obtained from 178 individuals collected during the fasciolosis outbreak in 1999 in the Gilan province, northern Iran, that were coprologically positive for fasciolosis, were analyzed by IgG-ELISA for total antibody responses against (S) and CP antigens from Fasciola gigantica. The cut-off points for (S) and CP were 0.38 and 0.33, respectively. All cases that showed clinical manifestations of fasciolosis, were also seropositive using both (S) and CP antigens whereas all 25 non-infected controls were seronegative. Therefore, the sensitivity of the test was 100% for both antigens. On the other hand the specificity of (S) and CP antigens were calculated as 96.4% and 98.1%, respectively. The positive and negative predictive values of the test regarding (S) antigen were 97.8% and 100%, whereas these values as for CP antigen were 98.9% and 100% correspondingly. Two individuals with hydatidosis and two with toxocariasis had antibodies against (S) antigen whereas concerning CP antigen, one individual with hydatidosis and another with toxocariasis showed cross reactivity against it. We have demonstrated that altogether CP antigen provide a more conclusive diagnosis as possessing lower cut-off and enabling better to discriminate between seronegative and seropositive subpopulations.This study may be useful to implement a reliable test to diagnose human fasciolosis and for seroepidmiological objectives.
Light-microgel interaction in resonant nanostructures (2018)

Combination of responsive microgels and photonic resonant nanostructures represents an intriguing technological tool for realizing tunable and reconfigurable platforms, especially useful for biochemical sensing applications. Interaction of light with microgel particles during their swelling/shrinking dynamics is not trivial because of the inverse relationships between their size and refractive index. In this work, we propose a reliable analytical model describing the optical properties of closed-packed assembly of surface-attached microgels, as a function of the external stimulus applied. The relationships between the refractive index and thickness of the equivalent microgel slab are derived from experimental observations based on conventional morphological analysis. The model is first validated in the case of temperature responsive microgels integrated on a plasmonic lab-on-fiber optrode, and also implemented in the same case study for an optical responsivity optimization problem. Overall, our model can be extended to other photonic platforms and different kind of microgels, independently from the nature of the stimulus inducing their swelling.
High-resolution Compton scattering as a probe of correlation and bonding effects (2002)

We recently used synchrotron x-ray diffraction combined with raman scattering to study pressure-induced amorphisation in silicon compressed to above 10-15 gpa. The high pressure amorphous form was in a high-density state. During decompression, a transformation occurred to the normal tetrahedrally coordinated amorphous semiconductor form. We suggest that the amorphous-amorphous transition is linked to an underlying phase transition in the liquid state. We now have evidence for further 'polyamorphism' in amorphous silicon, between 'continuous random network' and 'clathrate cagelike' amorphous tetrahedral states. Structural information including x-ray diffraction, nmr and vibrational spectroscopy, will be presented, along with a possible 'metastable phase diagram' including the amorphous silicon states.
Intelligent Office Lighting: Demand-Responsive Conditioning and Increased User Satisfaction (2006)

Commercial daylighting systems have been shown to save up to 45 percent in electricity consumption when properly commissioned, and installed in areas with significant amounts of daylight. In practice however, these systems are greatly under leveraged. This paper details the development of an intelligent commercial lighting system designed to overcome user dissatisfaction, lost energy savings due to simple control algorithms, and high retrofit costs. An influence diagram decision framework is used to optimize demand responsive actuation decisions, resulting in improvements in user satisfaction and energy efficiency compared to existing daylighting systems. Further, the system utilizes wireless sensing and actuating technology to relieve much of the expense associated with retrofitting.
On the application of multi-parameter extremum seeking control (2000)

In many control applications the best set point for operation is not known a priori, and yet, controller design tools tend to focus on regulation to known set points and reference trajectories. This paper presents and analytically verifies techniques for online optimization of set points. The main contributions of this paper include a new control law for multiple parameter set-points and a proof of exponential stability for the averaged system. Methodologies for implementing this control law in a discrete time setting are discussed. The application of this new algorithm to a magnetically suspended flywheel is detailed. The extremum seeking controller is used to minimize vibrations and the results of twenty runs compared with the expected physical model of the process. The fit is poor enough to justify the use of the online optimizer proposed.
CRISPR/Cas9‐mediated genome engineering of CHO cell factories: Application and perspectives (2015)

Chinese hamster ovary (CHO) cells are the most widely used production host for therapeutic proteins. With the recent emergence of CHO genome sequences, CHO cell line engineering has taken on a new aspect through targeted genome editing. The bacterial clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) system enables rapid, easy and efficient engineering of mammalian genomes. It has a wide range of applications from modification of individual genes to genome-wide screening or regulation of genes. Facile genome editing using CRISPR/Cas9 empowers researchers in the CHO community to elucidate the mechanistic basis behind high level production of proteins and product quality attributes of interest. In this review, we describe the basis of CRISPR/Cas9-mediated genome editing and its application for development of next generation CHO cell factories while highlighting both future perspectives and challenges. As one of the main drivers for the CHO systems biology era, genome engineering with CRISPR/Cas9 will pave the way for rational design of CHO cell factories.