gebhart/patrepeval huggingface dataset:
CELLULOSE BASED LUMINOPHORE MATERIAL (2020)

In the present work, the synthesis of strontium aluminates has been performed aiming at obtaining different emission colours induced by excitation with various sources from the near UV and visible spectrum domain and identifying the most appropriate of them. Also, the study included the incorporation of the resulting phosphors into polymers in the form of thin films, as well as the preparation of polymer/cellulose/luminophore composites. According to the above, the main purpose of the present work has been to obtain hybrid composite materials. The study involved the investigation of their structure and properties. According to the reported results, the developed micro-sized luminescent strontium aluminates have strong potential to be used as fillers in paper, polymers or hybrid materials. The use of the phosphorescent particle filler in polymer/cellulose materials can increase the security features of the materials to the second level.
Recovery of the upper limb post ischaemic stroke and the predictive value of the Orpington Prognostic Score (2004)

Stroke patients demonstrate differential upper limb recovery patterns which need to be taken in consideration when designing studies that investigate efficacy of rehabilitation, and the OPS is highly correlated with upper limb recovery at six months and two years.
C-Phycocyanin Confers Protection against Oxalate-Mediated Oxidative Stress and Mitochondrial Dysfunctions in MDCK Cells (2014)

Oxalate toxicity is mediated through generation of reactive oxygen species (ROS) via a process that is partly dependent on mitochondrial dysfunction. Here, we investigated whether C-phycocyanin (CP) could protect against oxidative stress-mediated intracellular damage triggered by oxalate in MDCK cells. DCFDA, a fluorescence-based probe and hexanoyl-lysine adduct (HEL), an oxidative stress marker were used to investigate the effect of CP on oxalate-induced ROS production and membrane lipid peroxidation (LPO). The role of CP against oxalate-induced oxidative stress was studied by the evaluation of mitochondrial membrane potential by JC1 fluorescein staining, quantification of ATP synthesis and stress-induced MAP kinases (JNK/SAPK and ERK1/2). Our results revealed that oxalate-induced cells show markedly increased ROS levels and HEL protein expression that were significantly decreased following pre-treatment with CP. Further, JC1 staining showed that CP pre-treatment conferred significant protection from mitochondrial membrane permeability and increased ATP production in CP-treated cells than oxalate-alone-treated cells. In addition, CP treated cells significantly decreased the expression of phosphorylated JNK/SAPK and ERK1/2 as compared to oxalate-alone-treated cells. We concluded that CP could be used as a potential free radical-scavenging therapeutic strategy against oxidative stress-associated diseases including urolithiasis.
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets (2023)

Smart manufacturing systems are considered the next generation of manufacturing applications. One important goal of the smart manufacturing system is to rapidly detect and anticipate failures to reduce maintenance cost and minimize machine downtime. This often boils down to detecting anomalies within the sensor data acquired from the system which has different characteristics with respect to the operating point of the environment or machines, such as, the RPM of the motor. In this paper, we analyze four datasets from sensors deployed in manufacturing testbeds. We detect the level of defect for each sensor data leveraging deep learning techniques. We also evaluate the performance of several traditional and ML-based forecasting models for predicting the time series of sensor data. We show that careful selection of training data by aggregating multiple predictive RPM values is beneficial. Then, considering the sparse data from one kind of sensor, we perform transfer learning from a high data rate sensor to perform defect type classification. We release our manufacturing database corpus (4 datasets) and codes for anomaly detection and defect type classification for the community to build on it. Taken together, we show that predictive failure classification can be achieved, paving the way for predictive maintenance.
Noise removal from polygonal shapes using combined inverse diffusion filter and triangle method (2008)

We introduce a method for de-noising, segmenting and measuring similarity of shapes. The proposed method consists of two techniques. First we use an inverse diffusion filter for enhancement of relevant polygonal vertices and removal of noise and irrelevant edges. Second we apply a technique that removes the vertices that form the triangles with the smallest areas. In a thorough experimental evaluation, the combined method shows successful noise suppression while preserving dominant vertices present in the input shape.
Integration of Single-Photon Emitters into 3C-SiC Microdisk Resonators (2017)

We demonstrate the integration of bright, fully polarized single-photon emitters readily created by thermal oxidation of cubic silicon carbide (SiC) into microdisk resonators. The resonators are created by a direct laser beam writing lithography technique that is used to align the position of the resonator to a preselected single defect. Quality factors as high as 1900 are measured. We show the presence of whispering gallery modes in the emission spectrum of a single defect and an increase in the detected emission intensity. The experimental work is supported by numerical calculations of the electric field distribution in the resonators.
SynFace Phone Recognizer for Swedish Wideband and Narrowband Speech (2008)

In this paper, we present new results and comparisons of the real-time lips synchronized talking head SynFace on different Swedish databases and bandwidth. The work involves training SynFace on narrow-band telephone speech from the Swedish SpeechDat, and on the narrow-band and wide-band Speecon corpus. Auditory perceptual tests are getting established for SynFace as an audio visual hearing support for the hearing-impaired. Preliminary results show high recognition accuracy compared to other languages. 1
Improved predictions of transcription factor binding sites using physicochemical features of DNA (2012)

Typical approaches for predicting transcription factor binding sites (TFBSs) involve use of a position-specific weight matrix (PWM) to statistically characterize the sequences of the known sites. Recently, an alternative physicochemical approach, called SiteSleuth, was proposed. In this approach, a linear support vector machine (SVM) classifier is trained to distinguish TFBSs from background sequences based on local chemical and structural features of DNA. SiteSleuth appears to generally perform better than PWM-based methods. Here, we improve the SiteSleuth approach by considering both new physicochemical features and algorithmic modifications. New features are derived from Gibbs energies of amino acid-DNA interactions and hydroxyl radical cleavage profiles of DNA. Algorithmic modifications consist of inclusion of a feature selection step, use of a nonlinear kernel in the SVM classifier, and use of a consensus-based post-processing step for predictions. We also considered SVM classification based on letter features alone to distinguish performance gains from use of SVM-based models versus use of physicochemical features. The accuracy of each of the variant methods considered was assessed by cross validation using data available in the RegulonDB database for 54 Escherichia coli TFs, as well as by experimental validation using published ChIP-chip data available for Fis and Lrp.
ChemInform Abstract: SN2 DISPLACEMENTS AND REDUCTIVE COUPLING OF KETONES WITH OLEFINS IN N,N‐DIETHYLACETAMIDE AND N‐ETHYLPYRROLIDONE (1979)

Abstract Diethylacetamid (I) und N‐Ethyl‐pyrrolidon (II) werden als polare Lösungsmittel in verschiedenen Reaktionen verglichen mit Dimethylformamid, Dimethylsulfoxid und Hexamethylphosphortriamid.
CLRM-05. DRUG-RELEASING MICRODEVICES TO PREDICT RESPONSES TO TARGETED THERAPIES IN PATIENTS WITH GLIOMAS (2021)

Abstract Genomic studies of tumor specimens are becoming standard of care in patients with gliomas to characterize druggable molecular features. Unfortunately, with the exception of IDH1-R132 mutation and MGMT promoter methylation, molecular markers have failed to predict clinical responses to drugs, and the impact of targeted therapies remains minimal. There is a need for a high-throughput, patient-specific, and significantly predictive method to inform a most effective personalized therapy. This pilot trial tests the safety and feasibility of drug-releasing microdevices which are temporarily implanted into the tumor during a standard craniotomy. They release microdoses of up to 20 drugs or drug combinations into surrounding tissue in a controlled spatial distribution. The devices, together with a cuff of surrounding tumor tissue, are removed at the end of surgery, and the tissue is analyzed for biological and molecular response markers allowing for in situ characterization of the drug efficacy. Four patients have been enrolled to date, out of a total planned of six. Two microdevices were implanted into each tumor (8 total devices). Average indwelling time in tumor tissue was 139 minutes. Eight devices (100%) were successfully retrieved, and all surgeries were completed without immediate (&amp;lt;24 hours) or delayed (&amp;lt;30 days) complications. Seven (87%) specimens were of adequate quality, allowing for planned histological and molecular studies. For all analyzed specimens, the intraoperative incubation time was sufficient to observe: 1) Drug concentration gradients; 2) Differential molecular signs of cell toxicity (DNA damage and Caspase 3 activation); 3) Whole genome transcriptional changes; 4) Tumor microenvironment composition; and 5) Preliminary evidence of concordance between the biological readout obtained from microdevice analysis and clinical response. Drug-releasing microdevices were well tolerated, seamlessly integrated in standard craniotomy workflow, and allowed for collection of a significant amount of data related to the differential efficacy of multiple drugs in a personalized manner.
Alanine dosimetry in strong magnetic fields: use as a transfer standard in MRI-guided radiotherapy (2020)

Reference dosimetry in the presence of a strong magnetic field is challenging. Ionisation chambers have shown to be strongly affected by magnetic fields. There is a need for robust and stable detectors in MRI-guided radiotherapy (MRIgRT). This study investigates the behaviour of the alanine dosimeter in magnetic fields and assesses its suitability to act as a reference detector in MRIgRT. Alanine pellets were loaded in a waterproof holder, placed in an electromagnet and irradiated by <sup>60</sup>Co and 6 MV and 8 MV linac beams over a range of magnetic flux densities. Monte Carlo simulations were performed to calculate the absorbed dose, to water and to alanine, with and without magnetic fields. Combining measurements with simulations, the effect of magnetic fields on alanine response was quantified and a correction factor for the presence of magnetic fields on alanine was determined. This study finds that the response of alanine to ionising radiation is modified when the irradiation is in the presence of a magnetic field. The effect is energy independent and may increase the alanine/electron paramagnetic resonance (EPR) signal by 0.2% at 0.35 T and 0.7% at 1.5 T. In alanine dosimetry for MRIgRT, this effect, if left uncorrected, would lead to an overestimate of dose. Accordingly, a correction factor, [Formula: see text], is defined. Values are obtained for this correction as a function of magnetic flux density, with a standard uncertainty which depends on the magnetic field and is 0.6% or less. The strong magnetic field has a measurable effect on alanine dosimetry. For alanine which is used to measure absorbed dose to water in a strong magnetic field, but which has been calibrated in the absence of a magnetic field, a small correction to the reported dose is required. With the inclusion of this correction, alanine/EPR is a suitable reference dosimeter for measurements in MRIgRT.
Design, fabrication, and testing of energy-harvesting thermoelectric generator (2006)

An energy-harvesting thermoelectric generator (TEG) is being developed to provide power for wireless sensors used in health monitoring of Navy machinery. TEGs are solid-state devices that convert heat directly into electricity without any moving parts. In this application, the TEGs utilize the heat transfer between shipboard waste heat sources and the ambient air to generate electricity. In order to satisfy the required small design volume of less than one cubic inch, Hi-Z is using its innovative thin-film Quantum Well (QW) thermoelectric technology that will provide a factor of four increase in efficiency and a large reduction in the device volume over the currently used bulk Bi<sub>2</sub>Te<sub>3</sub> based thermoelectics. QWs are nanostructured multi-layer films. These wireless sensors can be used to detect cracks, corrosion, impact damage, and temperature and vibration excursions as part of the Condition Based Maintenance (CBM) of the Navy ship machinery. The CBM of the ship machinery can be significantly improved by automating the process with the use of self-powered wireless sensors. These power-harvesting TEGs can be used to replace batteries as electrical power sources and to eliminate power cables and data lines. The first QW TEG module was fabricated and initial tests were successful. It is planned to conduct performance tests the entire prototype QW TEG device (consisting of the TEG module, housing, thermal insulation and the heat sink) in a simulated thermal environment of a Navy ship.
Patterns and prognostic implications of low high-density lipoprotein levels in patients with non-ST-segment elevation acute coronary syndromes (2008)

Almost one-fifth of patients with NSTE ACS have very low HDL levels--a finding that adds incrementally to a greater burden of atherosclerosis and a higher risk of mortality. Consequently, strategies for mitigating the adverse prognosis associated with very low HDL levels warrant further exploration in patients with ACS.
ChemInform Abstract: Carbohydrate Microarrays and Fluorous‐Phase Synthesis — Interfacing Fluorous‐Phase Tags with the Direct Formation of Glycoarrays (2008)

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 of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Signal/Quantizing-distortion ratio measurements of fast-adaptive delta modulation systems (2005)

Signal/quantizing-distortion ratio (SQDR) was measured as a function of input level at a sampling frequency of 64 kHz with a phase- and amplitude-modulated sine wave of 800 Hz as input signal for different adaptive delta modulation systems. The parameters are: the number of bits taken into account in deciding step-size changes (bit-memory length); the ratio between the number of successive identical bit repetitions after which the step size is increased and the number of consecutive bit alternations after which the step size is decreased (up/down ratio); the step-size change factor a; and the use of single or double integration. Only one parameter is changed at a time resulting in a total of 54 measurement curves of SQDR as a function of input level. An analysis of the measurements is presented in terms of an averaged SQDR and its systematic spread as a function of the parameters.
Adaptive complex‐EKF‐based DOA estimation for GPS spoofing detection (2017)

In this study, a simple but effective spoofing detection method using a global positioning system (GPS) directional antenna is proposed which exploits the difference between the estimated direction‐of‐arrival (DOA) and the measured DOA from a GPS almanac and ephemeris data. The receiving signal's DOA is estimated by using a single antenna power measurement‐based complex extended Kalman filter (EKF) which is a complex valued state space based estimation technique. Furthermore, an adaptive logic is applied to the complex EKF to reduce the effect of the measurement disturbance. To maintain the validity of the proposed algorithm, it is assumed that the spoofer is aware of the target's location, but that its DOA is not perfectly the same as that of the authentic GPS signal. In addition, the orientation of the directional antenna is known by using an attitude and heading reference system that is attached to the antenna, and its antenna radiation pattern is also known. The proposed detection method is evaluated using a theoretical analysis and simulations. It is finally confirmed that the proposed algorithm can detect a spoofing signal according to the different direction angles of the spoofing signal, and especially those with low DOAs.
Guest Editors Introduction: Security of Beyond CMOS Devices: Issues and Opportunities (2017)

The papers in this special issue focus on security concerns and opportunities for emerging post-CMOS nanoscale devices. Security implications for these emerging nanoscale devices is an important and integral topic in system design which has not received adequate attention by the researchers. These devices are poised to make profound impact in the design of secure information processing systems by creating new attack modalities, changing the effectiveness of current attack models and countermeasures, and by enabling new approaches to secure designs that leverage their unique characteristics. In order to provide a foundation for secure electronics and computing in the nanoscale era, we need to develop a deep understanding of the impact of nanoscale device characteristics to higher layers of design abstraction, where threat models and security properties are meaningfully defined.
Beta-glucosidase variants polynucleotides encoding same (2023)

The present invention relates to beta-glucosidase variants, e.g., beta-glucosidase variants of a parent Family GH3A beta-glucosidase from Aspergillus fumigatus. The present invention also relates to polynucleotides encoding the beta-glucosidase variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the beta-glucosidase variants.
Polymeric separated phase in monomolecular films revealed by scanning force microscopy (1994)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPolymeric separated phase in monomolecular films revealed by scanning force microscopyS. Leporatti, O. Cavalleri, R. Rolandi, and P. TundoCite this: Langmuir 1994, 10, 5, 1334–1336Publication Date (Print):May 1, 1994Publication History Published online1 May 2002Published inissue 1 May 1994https://pubs.acs.org/doi/10.1021/la00017a002https://doi.org/10.1021/la00017a002research-articleACS PublicationsRequest reuse permissionsArticle Views29Altmetric-Citations4LEARN 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
Vibration Analysis of a Moving Probe with Long Cable for Defect Detection of Helical Tubes (2011)

A defect detection of a heating tube installed in a power station is a very important process for avoidance of a serious disaster. The defect detection for the fast breeder reactor “Monju” in Japan is implemented by feeding an eddy current testing (ECT) probe (Isobe et al., 1995; Robinson, 1998) with a magnetic sensor, into the tube. The ECT probe (hereafter, simply called probe) is controlled so as to move in the heating tube at a constant velocity. A peculiar feature of the heating tubes in “Monju” is that each tube is mostly helical. An undesirable vibration of the probe always happened in the helical heating tube under a certain condition (Inoue et al., 2007). The vibration was considerably large and generated an obstructive noise in the signal of the magnetic sensor. It made the detection of defects difficult. Some papers reported similar problems (Bihan, 2002; Giguere et al., 2001; Tian and Sophian, 2005), but a large vibration of the probe was not involved. A key to the problem is that the noise in the signal was accompanied with the hard vibration. Several characteristics of the vibration became clear through some experiments by using a mock-up, and a countermeasure was taken by making use of the characteristics of the vibration (Inoue et al., 2007). However, an essential factor on the cause of the vibration was still unclear. Since the noise in the signal is highly correlated with the vibration, a thorough investigation of the vibration is needed. It is desirable to find out the cause of the vibration in order to remove or reduce the vibration and ensure the reliability of the inspection. In this study, the cause of the vibration is assumed to be Coulomb friction between floats, which are attached to the probe, and the inner wall of the heating tube on the basis of the experimental results. An analytical model is obtained by taking Coulomb friction into account and numerical simulation is implemented by applying a step-by-step time integration scheme. However, the analytical model has a very large number of degree of freedom. Furthermore, there are many points on which Coulomb friction acts when the probe is fed into the tube under air pressure since many floats, which are in contact with the inner wall of the heating tube, are attached to the probe. It implies that a lot of strong nonlinearities exist in the analytical model. There is no precedent for this kind of problem, and heavy computational costs are ordinarily required to carry out the numerical simulation. Sueoka et al. (1985) presented the Transfer Influence Coefficient Method (Inoue et al., 1997; Kondou et al., 1989, hereafter: TICM), which is a computational method for a dynamic