gebhart/patrepeval huggingface dataset:
Novel Strategy To Create Hypoallergenic Peanut Protein–Polyphenol Edible Matrices for Oral Immunotherapy (2014)

Peanut allergy is an IgE-mediated hypersensitivity. Upon peanut consumption by an allergic individual, epitopes on peanut proteins bind and cross-link peanut-specific IgE on mast cell and basophil surfaces triggering the cells to release inflammatory mediators responsible for allergic reactions. Polyphenolic phytochemicals have high affinity to bind proteins and form soluble and insoluble complexes with unique functionality. This study investigated the allergenicity of polyphenol-fortified peanut matrices prepared by complexing various polyphenol-rich plant juices and extracts with peanut flour. Polyphenol-fortified peanut matrices reduced IgE binding to one or more peanut allergens (Ara h 1, Ara h 2, Ara h 3, and Ara h 6). Attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) suggested changes in secondary protein structure. Peanut protein-cranberry polyphenol fortified matrices triggered significantly less basophil degranulation than unmodified flour in an ex vivo assay using human blood and less mast cell degranulation when used to orally challenge peanut-allergic mice. Polyphenol fortification of peanut flour resulted in a hypoallergenic matrix with reduced IgE binding and degranulation capacity, likely due to changes in protein secondary structure or masking of epitopes, suggesting potential applications for oral immunotherapy.
Functional Anatomy of the Attentional Modulation of Time Estimation (2004)

Attention modulates our subjective perception of time. The less we attend to an event's duration, the shorter it seems to last. Attention to time or color stimulus attributes was modulated parametrically in an event-related functional magnetic resonance imaging study. Linear increases in task performance were accompanied by corresponding increases in brain activity. Increasing attention to time selectively increased activity in a corticostriatal network, including pre-supplementary motor area and right frontal operculum. Increasing attention to color selectively increased activity in area V4. By identifying areas whose activity was specifically modulated by attention to time, we have defined the core neuroanatomical substrates of timing behavior.
Structural analogs of pulmonary surfactant phosphatidylglycerol inhibit toll-like receptor 2 and 4 signaling (2016)

The pulmonary surfactant phospholipid, 1-palmitoyl-2-oleoylphosphatidylglycerol (POPG), potently inhibits toll-like receptor (TLR)2 and TLR4 signaling from the cell surface of macrophages. Analogs of POPG that vary in polar head group length, hydroxylation, and alkyl branching were synthesized using a phospholipase D-catalyzed transphosphatidylation reaction and a 1-palmitoyl-2-oleoyl phosphatidylcholine substrate. Lipid analogs with C3 and C4 alkyl head group length (POP-propanol and POP-butanol) are less effective than POPG as TLR2 and TLR4 antagonists. However, adding a hydroxyl group at the alkyl chain 3- or 4-position (POP-propanediols or POP-butanediols) greatly increased their inhibitory effects against TLR2 and TLR4. POP-2',2'-dimethylpropanediol is a weak inhibitor of TLR2 and TLR4 activation that results in arachidonic acid release, but an effective inhibitor of TLR4 activation that results in TNF-α production. Addition of an amino group at the alkyl-2 position (POP-2'-aminopropanediol) completely abolished the antagonism of TLRs 2 and 4. Multiple analogs strongly bind to the TLR4 coreceptors, cluster of differentiation 14 (CD14) and myeloid differentiation 2, but competition for di[3-deoxy-D-manno-octulosonyl]-lipid A binding to CD14 is the best predictor of biological activity at the cellular level. Collectively, these findings identify new compounds for antagonizing TLR2 and TLR4 activation and define structural properties of POPG analogs for discriminating between two TLR systems.
Reflective Arrayed Waveguide Grating with Sagnac Loop Reflectors in Silicon-on-Insulator with Gaussian Pass-band (2014)

In this paper the experimental demonstration of a Silicon-on-Insulator Reflective Arrayed Waveguide Grating (R-AWG) is reported. The device employs one Sagnac loop mirror per arm in the array, built with a 1x2 input/outputs, 50:50 splitting ratio, Multimode Interference coupler, for total reflection. The spectral responses obtained are compared to those of regular AWGs fabricated in the same die.
Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery (2019)

Can we improve detection in the thermal domain by borrowing features from rich domains like visual RGB? In this paper, we propose a pseudo-multimodal object detector trained on natural image domain data to help improve the performance of object detection in thermal images. We assume access to a large-scale dataset in the visual RGB domain and relatively smaller dataset (in terms of instances) in the thermal domain, as is common today. We propose the use of well-known image-to-image translation frameworks to generate pseudo-RGB equivalents of a given thermal image and then use a multi-modal architecture for object detection in the thermal image. We show that our framework outperforms existing benchmarks without the explicit need for paired training examples from the two domains. We also show that our framework has the ability to learn with less data from thermal domain when using our approach.
Empirical comparison of web-based antimicrobial peptide prediction tools (2017)

Supplementary data are available at Bioinformatics online.
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking (2017)

For crowded scenes, the accuracy of object-based computer vision methods declines when the images are low-resolution and objects have severe occlusions. Taking counting methods for example, almost all the recent state-of-the-art counting methods bypass explicit detection and adopt regression-based methods to directly count the objects of interest. Among regression-based methods, density map estimation, where the number of objects inside a subregion is the integral of the density map over that subregion, is especially promising because it preserves spatial information, which makes it useful for both counting and localization (detection and tracking). With the power of deep convolutional neural networks (CNNs) the counting performance has improved steadily. The goal of this paper is to evaluate density maps generated by density estimation methods on a variety of crowd analysis tasks, including counting, detection, and tracking. Most existing CNN methods produce density maps with resolution that is smaller than the original images, due to the downsample strides in the convolution/pooling operations. To produce an original-resolution density map, we also evaluate a classical CNN that uses a sliding window regressor to predict the density for every pixel in the image. We also consider a fully convolutional (FCNN) adaptation, with skip connections from lower convolutional layers to compensate for loss in spatial information during upsampling. In our experiments, we found that the lower-resolution density maps sometimes have better counting performance. In contrast, the original-resolution density maps improved localization tasks, such as detection and tracking, compared to bilinear upsampling the lower-resolution density maps. Finally, we also propose several metrics for measuring the quality of a density map, and relate them to experiment results on counting and localization.
Active quotation authentication in microsoft word documents using block signatures (2005)

Traditional message authentication does not verify the integrity and the claimed source of quotations in an anonymous message. A new active quotation authentication framework is proposed that allows a reader to authenticate the content and origin of the quotations in a citing document. A block signature method is proposed that generates context-sensitive block signatures for an authoritative message, and allows quotation signatures to be generated on-the-fly for arbitrary sub passages by an anonymous author. The block signature method requires a small initial computational effort and storage requirement for block signature generation; has a small quotation signature overhead; and is efficient for quotation authentication.
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems (2019)

The vehicular edge computing (VEC) system integrates the computing resources of vehicles, and provides computing services for other vehicles and pedestrians with task offloading. However, the vehicular task offloading environment is dynamic and uncertain, with fast varying network topologies, wireless channel states and computing workloads. These uncertainties bring extra challenges to task offloading. In this work, we consider the task offloading among vehicles, and propose a solution that enables vehicles to learn the offloading delay performance of their neighboring vehicles while offloading computation tasks. We design an adaptive learning-based task offloading (ALTO) algorithm based on the multi-armed bandit (MAB) theory, in order to minimize the average offloading delay. ALTO works in a distributed manner without requiring frequent state exchange, and is augmented with input-awareness and occurrence-awareness to adapt to the dynamic environment. The proposed algorithm is proved to have a sublinear learning regret. Extensive simulations are carried out under both synthetic scenario and realistic highway scenario, and results illustrate that the proposed algorithm achieves low delay performance, and decreases the average delay up to 30% compared with the existing upper confidence bound based learning algorithm.
Chemically exfoliated ReS<sub>2</sub>nanosheets (2014)

The production of two-dimensional rhenium disulfide (ReS2) nanosheets by exfoliation using lithium intercalation is demonstrated. The vibrational and photoluminescence properties of the exfoliated nanosheets are investigated, and the local atomic structure is studied by scanning and transmission electron microscopy. The catalytic activity of the nanosheets in a hydrogen evolution reaction (HER) is also investigated. The electrochemical properties of the exfoliated ReS2 nanosheets include low overpotentials of ∼100 mV and low Tafel slopes of 75 mV dec(-1) for HER and are attributed to the atomic structure of the superlattice 1T' phase. The presence of bandgap photoluminescence demonstrates that the nanosheets retain their semiconducting nature. ReS2 nanosheets produced by this method provide unique photocatalytic properties that are superior to those of other two-dimensional systems.
Copper(II)-induced oxidations of aromatic substrates: catalytic conversion of catechols to o-benzoquinones. Copper phenoxides as intermediates in the oxidation of phenol, and a single-step conversion of phenol, ammonia, and oxygen into muconic acid mononitrile (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCopper(II)-induced oxidations of aromatic substrates: catalytic conversion of catechols to o-benzoquinones. Copper phenoxides as intermediates in the oxidation of phenol, and a single-step conversion of phenol, ammonia, and oxygen into muconic acid mononitrileTimothy R. Demmin, Michael D. Swerdloff, and Milorad M. RogicCite this: J. Am. Chem. Soc. 1981, 103, 19, 5795–5804Publication Date (Print):September 1, 1981Publication History Published online1 May 2002Published inissue 1 September 1981https://pubs.acs.org/doi/10.1021/ja00409a030https://doi.org/10.1021/ja00409a030research-articleACS PublicationsRequest reuse permissionsArticle Views1179Altmetric-Citations103LEARN 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
MET Alterations Are a Recurring and Actionable Resistance Mechanism in ALK-Positive Lung Cancer (2020)

Treatment with next-generation ALK inhibitors, particularly in the first-line setting, may lead to MET-driven resistance. Patients with acquired <i>MET</i> alterations may derive clinical benefit from therapies that target both ALK and MET.
Mobile Emitter Geolocation and Tracking Using TDOA and FDOA Measurements (2009)

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper considers recursive tracking of one mobile emitter using a sequence of time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurement pairs obtained by one pair of sensors. We consider only a single emitter without data association issues (no missed detections or false measurements). Each TDOA measurement defines a region of possible emitter locations around a unique hyperbola. This likelihood function is approximated by a Gaussian mixture, which leads to a dynamic bank of Kalman filters tracking algorithm. The FDOA measurements update relative probabilities and estimates of individual Kalman filters. This approach results in a better track state probability density function approximation by a Gaussian mixture, and tracking results near the Cramér–Rao lower bound. Proposed algorithm is also applicable in other cases of nonlinear information fusion. The performance of proposed Gaussian mixture approach is evaluated using a simulation study, and compared with a bank of EKF filters and the Cramér–Rao lower bound. </para>
ARGarden: 3D outdoor landscape design using handheld augmented reality with multi-user interaction (2020)

Abstract Augmented Reality (AR) is a technology to display the virtual object by overlaying on the physical marker in the real environment. Nowadays, the handheld device becomes a trend in AR since it has high processing power and compatible with the AR system. However, most of the AR applications did not fully support the interaction from multiple users for the collaborative AR interface. Therefore, this research aim is to develop multi-user interaction for collaborative handheld AR. There are a few phases involved to design and develop the collaborative AR application for the handheld device called ARGarden. All the interaction that has been done for the virtual object transformation such as translation, rotation and scaling can be seen by the other users, and this data is synchronized by using a network protocol. Then, a queue system is implemented for the multi-user interaction to allow the virtual object can only be selected by one user at one time, and the other users must wait for their turn. The significance of this research is all the method that has been implemented for the ARGarden can be applied in different fields such as simulation, modelling, medical and education.
Amplification of <i>CRKL</i> Induces Transformation and Epidermal Growth Factor Receptor Inhibitor Resistance in Human Non–Small Cell Lung Cancers (2011)

These studies credential CRKL as an oncogene in a subset of NSCLC. Overexpression of CRKL induces cell transformation and resistance to epidermal growth factor receptor inhibitor treatment and suggest that therapeutic interventions targeting CRKL may confer a clinical benefit in a defined subset of NSCLCs.
Fc Effector Function Contributes to the Activity of Human Anti-CTLA-4 Antibodies (2018)

With the use of a mouse model expressing human Fc-gamma receptors (FcγRs), we demonstrated that antibodies with isotypes equivalent to ipilimumab and tremelimumab mediate intra-tumoral regulatory T (Treg) cell depletion in vivo, increasing the CD8<sup>+</sup> to Treg cell ratio and promoting tumor rejection. Antibodies with improved FcγR binding profiles drove superior anti-tumor responses and survival. In patients with advanced melanoma, response to ipilimumab was associated with the CD16a-V158F high affinity polymorphism. Such activity only appeared relevant in the context of inflamed tumors, explaining the modest response rates observed in the clinical setting. Our data suggest that the activity of anti-CTLA-4 in inflamed tumors may be improved through enhancement of FcγR binding, whereas poorly infiltrated tumors will likely require combination approaches.
Single Molecule Characterization of DNA Binding and Strand Displacement Reactions on Lithographic DNA Origami Microarrays (2014)

The combination of molecular self-assembly based on the DNA origami technique with lithographic patterning enables the creation of hierarchically ordered nanosystems, in which single molecules are positioned at precise locations on multiple length scales. Based on a hybrid assembly protocol utilizing DNA self-assembly and electron-beam lithography on transparent glass substrates, we here demonstrate a DNA origami microarray, which is compatible with the requirements of single molecule fluorescence and super-resolution microscopy. The spatial arrangement allows for a simple and reliable identification of single molecule events and facilitates automated read-out and data analysis. As a specific application, we utilize the microarray to characterize the performance of DNA strand displacement reactions localized on the DNA origami structures. We find considerable variability within the array, which results both from structural variations and stochastic reaction dynamics prevalent at the single molecule level.
[Effect of calcium on aggregation and growth of 293 cells]. (2005)

The effect of calcium on the aggregation and growth of 293 cells grown in either serum-containing or serum-free medium was investigated in T-flask and spinner bottle, respectively. It was found that the concentration of calcium ion, in the range of 0.1 mmol/L to 1.0 mmol/L, affected adhesion and aggregation of 293 cells severely, but had no distinct effect on growth. The result indicated that the attachment of 293 cells was easier with higher calcium concentration in serum-containing medium. And 293 cells formed aggregates readily in suspension culture. This effect was more profound in cultures with higher calcium concentration. The average diameter( D, mum) of 293 cell aggregates exhibited direct proportion to calcium concentration (c, mmol/L) in serum-free medium. It can be depicted by a simple equation in the range of 0.1 mmol/L to 0.5 mmol/L, i.e. D = 58.65c + 16.96. The aggregation size of 293 cells is regulable in suspension culture, therefore, proper control allows for an easier cell retention, and thus a high cell concentration potentially can be achieved. However, similar growth of 293 cells was observed in cultures with different calcium concentration.
Chemotherapy in penile cancer (2012)

Penile cancer is an aggressive disease and after systemic progression it is virtually incurable. While this squamous cell cancer responds to chemotherapy, successful treatment of lymphatic metastases can only be achieved with aggressive surgical treatment in combination with chemotherapy. However, because penile carcinoma is relatively rare there is a paucity of clinical data on the chemotherapy for this aggressive disease. Recent advances have included the establishment of less toxic regimens incorporating taxanes, while cisplatinum remains central to all regimens. Multi-institutional studies are urgently needed to advance the multimodal care for patients with penile cancer.
Distributed computation of averages over ad hoc networks (2005)

In this paper, we develop algorithms for distributed computation of averages of the node data over networks with arbitrary but fixed connectivity. The algorithms we develop are linear dynamical systems that generate sequences of improving approximations to the desired computation at each node, via iterative processing and broadcasting. The algorithms are locally constructed at each node by exploiting only locally available and macroscopic information about the network topology. We present methods for optimizing the convergence rates of these algorithms to the desired computation, and evaluate their performance characteristics in the context of a problem of signal estimation from multinode noisy observations. By conducting simulations based on simple power-loss propagation models, we perform a preliminary comparison of the algorithms we develop against other types of distributed algorithms for computing averages, and identify transmit-power optimized algorithmic implementations as a function of the size and density of the sensor network.
Total GPS-free Localization Protocol for Vehicular Ad Hoc and Sensor Networks (VASNET) (2011)

Vehicle Ad Hoc Network (VANET) is the communication between the vehicles on the road. VANET and Wireless Sensor Network (WSN) fusion is termed as Vehicular Ad Hoc and Sensor Networks (VASNET). In VSANET, each vehicle carries an intelligent node, which senses the real phenomena and collects the required data. As the sensor nodes are installed on the vehicles, these are prone to high mobility and hence, new protocols need to be designed. Implementation of VSANET involves a lot of challenges such as, frequency allocation, standards for physical and link layers, routing, localization and security issues. In most of the proposed localization algorithms for VSANET, there is good amount of dependency on the other technologies such as Global Positioning System (GPS), which has major problems such as system not available continuously, non-availability in tunnel and not being robust enough. Therefore, GPS is not a reliable solution. In this paper, we delve further with GPS technology and discuss some of the localization algorithms. Here, we propose a novel localization protocol for VASNET which gains benefit of sensor nodes and is totally GPS free. Using GloMoSim simulator the protocol has been simulated and we observed that by varying the parameters like number of Road Side Sensors (RSS), transmission ranges and rate of well-working sensors, the exact location of a vehicle is computed in 93% cases.
Does Tryptophan Potentiate Clomipramine in the Treatment of Agoraphobic and Social Phobic Patients? (1982)

A 10 week double blind study of 24 agoraphobics and 16 social phobics all on clomipramine compared the effect of adding tryptophan or placebo. Tryptophan did not potentiate the beneficial effect of clomipramine on phobic avoidance, phobic fears or the incidence of panic attacks. Neither was the presence of depression a factor of outcome.