gebhart/patrepeval huggingface dataset:
Synthesis of novel phenyl azo chalcone derivatives for antitubercular, antiinflammatory and antioxidant activity (2015)

In the present study, an attempt has been made to synthesize some novel phenyl azochalcone derivatives for biological activity chaclone were prepared from 4-aminoacetophenone, diazotization of the amino ketone followed by Claisen Schimdt condensation and finally coupling of diazo group with various reagents gave phenylazochalcone. The structure of the compounds has been confirmed by IR, NMR (1H & 13C), mass spectral data and elemental analysis. All the derivatives were screened for antitubercular activity by MABA method, in-vitro antiinflammatory activity by BSA method and antioxidant activity by DPPH method.
Tyrosine Kinase Activity and Transformation Potency of <i>bcr-abl</i> Oncogene Products (1990)

Oncogenic activation of the proto-oncogene c-abl in human leukemias occurs as a result of the addition of exons from the gene bcr and truncation of the first abl exon. Analysis of tyrosine kinase activity and quantitative measurement of transformation potency in a single-step assay indicate that variation in bcr exon contribution results in a functional difference between p210bcr-abl and p185bcr-abl proteins. Thus, foreign upstream sequences are important in the deregulation of the kinase activity of the abl product, and the extent of deregulation correlates with the pathological effects of the bcr-abl proteins.
Key factors that affect every child's development (2005)

Our planning could be ineffective if we don't acknowledge all factors that impact on a young child. Kate Wall explains why.
Estimating and Prediction of Turn around Time for Incidents in Application Service Maintenance Projects (2008)

Application Service Maintenance Projects normally deals with Incidents as First Level support function. Incidents in majority directly link with Production Environment, so Turn around Time for Incidents is a significant factor. Many Companies are having Service Level Agreements with Customer for Turn around Time for Incidents. There is a need to focus on Estimating and Predicting Turn around Time for Incidents. Improvement in Turn around Time helps in improving the Service Level Agreements earlier agreed with the Customer. Saved time can be diverted to other Project Activities like Enhancements or for new requests. This will also helps as one of the paths for Companies to get new business with the Customer. We have used Capability Maturity Model Integration(CMMI)V1.2 Quantitative Project Management(QPM) methodology for Application Service Maintenance(ASM) Projects for estimating and predicting turn around time for incidents. By implementing this best practice in SEI CMMI Level 5 Company we have achieved a significant improvement of approximately 50 percent reduction in Average Turn around Time for incidents.
Strong, lightweight, and recoverable three-dimensional ceramic nanolattices (2014)

Ceramics have some of the highest strength- and stiffness-to-weight ratios of any material but are suboptimal for use as structural materials because of their brittleness and sensitivity to flaws. We demonstrate the creation of structural metamaterials composed of nanoscale ceramics that are simultaneously ultralight, strong, and energy-absorbing and can recover their original shape after compressions in excess of 50% strain. Hollow-tube alumina nanolattices were fabricated using two-photon lithography, atomic layer deposition, and oxygen plasma etching. Structures were made with wall thicknesses of 5 to 60 nanometers and densities of 6.3 to 258 kilograms per cubic meter. Compression experiments revealed that optimizing the wall thickness-to-radius ratio of the tubes can suppress brittle fracture in the constituent solid in favor of elastic shell buckling, resulting in ductile-like deformation and recoverability.
Improving self super resolution in magnetic resonance images (2018)

Magnetic resonance (MR) images (MRI) are routinely acquired with high in-plane resolution and lower through-plane resolution. Improving the resolution of such data can be achieved through post-processing techniques knows as super-resolution (SR), with various frameworks in existence. Many of these approaches rely on external databases from which SR methods infer relationships between low and high resolution data. The concept of self super-resolution (SSR) has been previously reported, wherein there is no external training data with the method only relying on the acquired image. The approach involves extracting image patches from the acquired image constructing new images based on regression and combining the new images by Fourier Burst Accumulation. In this work, we present four improvements to our previously reported SSR approach. We demonstrate these improvements have a significant effect on improving image quality and the measured resolution.
Monolithic 8x8 SiPM with 4-bit Current-Mode Flash ADC with Tunable Dynamic Range (2019)

A monolithic photon-counting receiver consisting of an integrated silicon-photomultiplier and a current-mode analog-to-digital converter (ADC) was designed, simulated and fabricated in the AMS 0.35 μm SiGe BiCMOS process. The silicon photomultiplier (SiPM) consists of 64 avalanche photodiodes (APD) arranged in an 8x8 pattern with integrated 236 kΩ quenching resistors. This silicon-photomultiplier exhibits peak responsivity at 490 nm and is intended for atmospheric and oceanographic light detection and ranging (LIDAR) applications. The current-mode ADC is used to directly convert photocurrent from the silicon-photomultiplier into a 4-bit word. The maximum sampling rate achieved in simulation is 100 MS/s. The measured differential nonlinearity (DNL) and integral nonlinearity (INL) for the ADC are 0.5 LSB and 0.17 LSB respectively. The dynamic range of the ADC is tunable based on the reference current and varies from 5 μA 80 μA to 30 μA 480 μA. The whole system covers an area of 0.375 mm2. The fill factor of the silicon photomultiplier is 12.6%.
Nitric oxide production from a macrophage cell line: Interaction with autologous and allogeneic lymphocytes (1993)

The indirect stimulation of macrophages to produce nitrite was examined by using the macrophage cell line J774.J774 spontaneously produced nitrite, when cultured at high concentration. J774 cultured in low concentration (< 10(4) cells in 100 microliters) barely produced nitrite. J774 cultured in low concentration produced a large amount of nitrite by the co-culture of nonadherent spleen cells or nonadherent peritoneal exudate cells, which were stimulated with con A, anti-CD3, or staphylococcal enterotoxin A. J774 (BALB/c derived: H-2d) cultured with either syngeneic (BALB/c) or allogeneic (B6; H-2b B10BR; H-2k) nonadherent lymphocytes, which were stimulated with conA or anti-CD3, produced nitric oxide. However, J774 produced nitric oxide by stimulation with SEA only when co-cultured with SEA-reactive T lymphocytes. Peritoneal exudate cells from mice, which did not proliferate by the stimulation of conA or anti-CD3, proliferated well by the addition of L-arginine homologue, NG-monomethyl-L-arginine. The proliferation of nonadherent peritoneal exudate cells stimulated with conA or anti-CD3 was suppressed by the addition of peritoneal macrophages. This suppression was abolished by the addition of NG-monomethyl-L-arginine.
Defect classification in shearography images using convolutional neural networks (2018)

High subjectivity, lack of attention and fatigue are factors inherent to human analysis in inspection activities such as shearography, a non-destructive optical method. In order to minimize the probability of human error, a study was conducted in which a binary classification from 256 shearography test samples obtained from pipes repaired with glass fiber patches was performed. The dataset was split into major and minor defects and used to train two convolutional neural networks architectures, - a specific artificial neural network well known for its application on image classification. Architecture A achieved a maximum accuracy of 73% on major defect detection, while architecture B, slightly more complex, led to better results. Posterior studies on architecture B led to the conclusion that a combination of double layer filters and dropout layers are the best setup for this type of classification problem. It is possible that other architectures might lead to better results, but no grid search was performed to confirm this assumption. An accuracy of 79% was achieved with Architecture B, therefore is reasonable to say that convolutional neural networks are able to learn from parameters which are difficult to correctly process, such as the fringe patterns obtained from shearography test samples.
An Attentive Interaction Network for Context-aware Recommendations (2018)

Context-aware Recommendations (CARS) have attracted a lot of attention recently because of the impact of contextual information on user behaviors. Recent state-of-the-art methods represent the relations between users/items and contexts as a tensor, with which it is difficult to distinguish the impacts of different contextual factors and to model complex, non-linear interactions between contexts and users/items. In this paper, we propose a novel neural model, named Attentive Interaction Network (AIN), to enhance CARS through adaptively capturing the interactions between contexts and users/items. Specifically, AIN contains an Interaction-Centric Module to capture the interaction effects of contexts on users/items; a User-Centric Module and an Item-Centric Module to model respectively how the interaction effects influence the user and item representations. The user and item representations under interaction effects are combined to predict the recommendation scores. We further employ effect-level attention mechanism to aggregate multiple interaction effects. Extensive experiments on two rating datasets and one ranking dataset show that the proposed AIN outperforms state-of-the-art CARS methods. In addition, we also find that AIN provides recommendations with better explanation ability with respect to contexts than the existing approaches.
Global analyses of cellular lipidomes directly from crude extracts of biological samples by ESI mass spectrometry: a bridge to lipidomics (2003)

Lipidomics is a rapidly expanding research field in which multiple techniques are utilized to quantitate the hundreds of chemically distinct lipids in cells and determine the molecular mechanisms through which they facilitate cellular function. Recent developments in electrospray ionization mass spectrometry (ESI/MS) have made possible, for the first time, the precise identification and quantification of alterations in a cell's lipidome after cellular perturbations. This review provides an overview of the essential role of ESI/MS in lipidomics, presents a broad strategy applicable for the generation of lipidomes directly from cellular extracts of biological samples by ESI/MS, and summarizes salient examples of strategies utilized to conquer the lipidome in physiologic signaling as well as pathophysiologically relevant disease states. Because of its unparalleled sensitivity, specificity, and efficiency, ESI/MS has provided a critical bridge to generate highly accurate data that fingerprint cellular lipidomes to facilitate insight into the functional role of subcellular membrane compartments and microdomains in mammalian cells. We believe that ESI/MS-facilitated lipidomics has now opened a critical door that will greatly increase our understanding of human disease.
System design for organic pulse oximeter (2015)

Wearable medical devices that would benefit from mechanical flexibility and new form factors represent a great shift in direction of research in the field of printed electronics. The minimal functionality desired from wearable medical devices is the monitoring of vital signs. Pulse rate and blood oxygenation are considered primary vital signs that help to evaluate the general physical health of a person. The methods used to measure pulse rate and blood oxygenation with sensors based on organic light-emitting diodes (OLEDs) and organic photodiodes (OPDs) are reported here. Departing from the conventional practice of using red (630 nm) and infrared (940 nm) light for measuring pulse oxygenation, we have successfully implemented solution processed red (626 nm) and green (532 nm) OLEDs fabricated from polyfluorene blends in an all-organic optoelectronic pulse oximeter sensor. The red and green OLEDs operate at 9 V, 1 kHz, and transmit light through a human index finger. The transmitted light is sensed by an OPD placed on the opposite side of the finger. After filtering and amplification, the photoplethysmogram (PPG) signal is obtained and used to accurately measure pulse rate and blood oxygenation.
Road texture and rolling noise: an envelopment procedure for tire-road contact (2004)

convention GRD2/2000/30202
Towards exploratory hypothesis testing and analysis (2011)

Hypothesis testing is a well-established tool for scientific discovery. Conventional hypothesis testing is carried out in a hypothesis-driven manner. A scientist must first formulate a hypothesis based on his/her knowledge and experience, and then devise a variety of experiments to test it. Given the rapid growth of data, it has become virtually impossible for a person to manually inspect all the data to find all the interesting hypotheses for testing. In this paper, we propose and develop a data-driven system for automatic hypothesis testing and analysis. We define a hypothesis as a comparison between two or more sub-populations. We find sub-populations for comparison using frequent pattern mining techniques and then pair them up for statistical testing. We also generate additional information for further analysis of the hypotheses that are deemed significant. We conducted a set of experiments to show the efficiency of the proposed algorithms, and the usefulness of the generated hypotheses. The results show that our system can help users (1) identify significant hypotheses; (2) isolate the reasons behind significant hypotheses; and (3) find confounding factors that form Simpson's Paradoxes with discovered significant hypotheses.
Tracking the Human Mobility Using Mobile Device Sensors (2017)

We developed a novel, proof-of-concept side-channel attack framework called RouteDetector, which identifies a route for a train trip by simply reading smart device sensors: an accelerometer, magnetometer, and gyroscope. All these sensors are commonly used by many apps without requiring any permissions. The key technical components of RouteDetector can be summarized as follows. First, by applying a machine-learning technique to the data collected from sensors, RouteDetector detects the activity of a user, i.e., “walking,” “in moving vehicle,” or “other.” Next, it extracts departure/arrival times of vehicles from the sequence of the detected human activities. Finally, by correlating the detected departure/arrival times of the vehicle with timetables/route maps collected from all the railway companies in the rider's country, it identifies potential routes that can be used for a trip. We demonstrate that the strategy is feasible through field experiments and extensive simulation experiments using timetables and route maps for 9,090 railway stations of 172 railway companies.
Genetic diagnosis in Lafora disease (2007)

Lafora disease (LD) can be diagnosed by skin biopsy, but this approach has both false negatives and false positives. Biopsies of other organs can also be diagnostic but are more invasive. Genetic diagnosis is also possible but can be inconclusive, for example, in patients with only one heterozygous EPM2A mutation and patients with apparently homozygous EPM2B mutations where one parent is not a carrier of the mutation. We sought to identify occult mutations and clarify the genotypes and confirm the diagnosis of LD in patients with apparent nonrecessive disease inheritance. We used single nucleotide polymorphism, quantitative PCR, and fluorescent in situ hybridization analyses. We identified large EPM2A and EPM2B deletions undetectable by PCR in the heterozygous state and describe simple methods for their routine detection. We report a coding sequence change in several patients and describe why the pathogenic role of this change remains unclear. We confirm that adult-onset LD is due to EPM2B mutations. Finally, we report major intrafamilial heterogeneity in age at onset in LD.
Editorial (2015)

editorial Free Access Share on Editorial Authors: Alonzo C. Addison Digital Heritage 2013 Congress General Co-Chairs Digital Heritage 2013 Congress General Co-ChairsView Profile , Livio De Luca Digital Heritage 2013 Congress General Co-Chairs Digital Heritage 2013 Congress General Co-ChairsView Profile , Sofia Pescarin Digital Heritage 2013 Congress General Co-Chairs Digital Heritage 2013 Congress General Co-ChairsView Profile Authors Info & Claims Journal on Computing and Cultural Heritage Volume 8Issue 1February 2015 Article No.: 1epp 1–3https://doi.org/10.1145/2715265Published:25 February 2015Publication History 0citation185DownloadsMetricsTotal Citations0Total Downloads185Last 12 Months20Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Airborne Wind Energy Systems: A review of the technologies (2015)

Among novel technologies for producing electricity from renewable resources, a new class of wind energy converters has been conceived under the name of Airborne Wind Energy Systems (AWESs). This new generation of systems employs flying tethered wings or aircraft in order to reach winds blowing at atmosphere layers that are inaccessible by traditional wind turbines. Research on AWESs started in the mid seventies, with a rapid acceleration in the last decade. A number of systems based on radically different concepts have been analyzed and tested. Several prototypes have been developed all over the world and the results from early experiments are becoming available. This paper provides a review of the different technologies that have been conceived to harvest the energy of high-altitude winds, specifically including prototypes developed by universities and companies. A classification of such systems is proposed on the basis of their general layout and architecture. The focus is set on the hardware architecture of systems that have been demonstrated and tested in real scenarios. Promising solutions that are likely to be implemented in the close future are also considered.
Wafer-Bonded p-n Heterojunction of GaAs and Chemomechanically Polished N-Polar GaN (2012)

This letter reports wafer-bonded p-n heterojunction diodes, which consist of GaAs and chemomechanically polished N-polar GaN. The measured <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i> - <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> and <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</i> - <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> show well-behaved p-n junction characteristics. The built-in voltage extrapolated from the <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</i> - <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> is 0.2 V less than the theoretical, suggesting the existence of interface states. However, this offset is much less than that (1.14 V) reported of wafer-bonded GaAs/Ga-polar GaN p-n diodes. The limited maximum current suggests pinning of the Fermi level at interface traps near the conduction band accessed under forward bias. Yet, this junction shows promise as a collector junction for wafer-bonded devices to achieve higher breakdown voltages.
Reconstitution of the multiprotein complex of pp60src, hsp90, and p50 in a cell-free system. (1992)

A rabbit reticulocyte lysate system that has been used to reconstitute functional complexes between steroid receptors and the 90-kDa heat shock protein (hsp90) has been used here to form complexes between the pp60src tyrosine kinase and hsp90. Reticulocyte lysate forms complexes between hsp90 and a temperature-sensitive mutant of Rous sarcoma virus pp60v-src, which is normally present in cytosol virtually entirely in the multiprotein complex form. In addition, hsp90 in the lysate complexes with wild-type pp60v-src, of which only a small portion is normally recovered in cytosol in the native multiprotein complex, and with the cellular homolog, pp60c-src, which has never been recovered in cytosol in the form of a native multiprotein complex with hsp90. Moreover, the reticulocyte lysate-reconstituted complex also contains the 50-kDa phosphoprotein component of the native pp60v-src multiprotein complex. The native and reconstituted pp60src-hsp90 complexes have similar thermal stability and, like steroid receptor heterocomplexes, they are stabilized by molybdate. As previously shown with reticulocyte lysate-reconstituted steroid receptor heteroprotein complexes, the reconstituted pp60src multiprotein complex contains hsp70, which is a major candidate for providing the protein unfoldase activity required for hsp90 association.
Palivizumab prophylaxis of respiratory syncytial virus disease from 1998 to 2002: results from four years of palivizumab usage (2003)

2001 to 2002: Between June 1, 2001 and May 15, 2002, 116 health care centers across the US enrolled 5091 infants in the second prospective Palivizumab Outcomes Registry. As its primary outcome the study measured the occurrence of RSV hospitalization with secondary variables of risk factors for RSV bronchiolitis and compliance with the projected number of palivizumab injections based on month of initial dose. Forty-nine percent (n = 2,501) of the infants were born between 32 and 35 weeks gestational age, 40% (n = 2020) were born at a gestational age of <32 weeks and 11% (n = 570) were born at >35 weeks gestational age. Nineteen percent (n = 964) of these children were deemed at sufficient risk to warrant palivizumab prophylaxis for a second season. Seventy-six of 5084 enrolled subjects experienced a total of 78 RSV-related hospital admissions, for an overall hospitalization rate of 1.5%. Four years of retrospective and prospective data on the use of palivizumab in clinical practice has accumulated a wealth of "real life" information on the clinical effectiveness of RSV immunoprophylaxis in a large cohort of high risk infants from geographically diverse pediatric offices and clinics throughout the United States.
Industrial augmented reality (IAR): challenges in design and commercialization of killer apps (2003)

Design of industrial AR applications has been oneof our main goals at Siemens Corporate Research since1997.As an industrial R&D laboratory, we pay particular attention to future commercialization of such applications. This paper is an extended abstract for aninvited talk at ISMAR 2003. In this talk, I take theexamples of AR applications we have been working onat Siemens Corporate Research (SCR) to discuss thechallenges the industrial AR research community needsto face in order to succeed.