gebhart/patrepeval huggingface dataset:
Bi-Level Model Predictive Control for Optimal Coordination of Multi-Area Automatic Generation Control Units under Wind Power Integration (2019)

With the high degree of wind power penetration integrated into multi-area AC/DC interconnected power grids, the frequency regulation capacity of automatic generation control (AGC) units is not sufficient in the wind power-penetrated area, making it difficult to effectively suppress the frequency stability caused by the fluctuation of wind power. Therefore, a coordinated control strategy for AGC units across areas based on bi-level model predictive control is proposed in this paper to achieve resource sharing. The control scheme uses economic model predictive control to realize steady power optimal allocation of the AGC units across areas in the upper layer and distributed model predictive control to realize dynamic frequency optimization control of the multi-area AGC units in the lower layer. Taking a three-area AC/DC interconnected power grid with a wind farm as an example, the simulation results show that, compared with model predictive control using tie-line frequency bias control (TBC) mode, the proposed control strategy can not only effectively maintain tie-line safety and frequency stability, but can also reduce the regulation cost of multi-area AGC units.
System for local/regional/global joined object recognition (2015)

Recent events highlight the need for technologies that provide timely identification and geo-location of objects lost within a geographic area that could span tens of thousands of square kilometers over both land and water. Mission critical systems for search and rescue require technologies that provide timely identification and geolocation of objects within these vast geographic areas. Even though there are large quantities of Intelligence, Surveillance, Reconnaissance (ISR) data available from sensors on collection platforms, analysts cannot keep pace with the growing amount of sensor data. No tool exists today that funnels that data into the location and recognition information that overcomes these limitations and meets mission critical requirements. This paper introduces a system, called MiData (Multifactor Information Distributed Analytics Technology Aide) Application to Local / Regional / Global Joined Object Recognition (MAJOR), to meet this need. MAJOR applies sensors and analytics technology in a new way to create a novel capability to rapidly screen massive collections of sensor images (still and video) from multiple and diverse databases in order to chip out and fuse Essential Elements of Information (EEIs) that will transform raw data into actionable information from which analysts can locate lost objects in arbitrary geographic locations in a timely manner.
Vision-based Fault Detection in Assembly Automation (2012)

Thesis (Master, Mechanical and Materials Engineering) -- Queen's University, 2012-07-13 16:04:57.829
4‐Aminopyridine Increases Acetylcholine Release Without Diminishing Membrane Phosphatidylcholine (1990)

4-Aminopyridine (10(-4)-10(-5) M) increased severalfold the release of acetylcholine from rat striatal slices superfused with an eserine-containing, choline-free medium, and caused stoichiometric decreases in the release of choline. It had no effect on tissue acetylcholine and choline levels. Electrical stimulation of the striatal slices increased acetylcholine release without affecting that of choline. Superfusion of the stimulated slices with 4-aminopyridine decreased choline release and increased the ratio of acetylcholine to choline in superfusates. As shown previously, electrical stimulation of the striatal slices decreased their contents of phospholipids, principally phosphatidylcholine; 4-aminopyridine fully protected against these membrane changes. In synaptosomal preparations, 4-aminopyridine was found to enhance the high-affinity uptake of [14C]choline and its conversion to [14C]acetylcholine. This effect on choline uptake may underlie 4-aminopyridine's ability to enhance acetylcholine release in the absence of supplemental choline while suppressing the "autocannibalism" of membrane phospholipids.
Differential Gene Expression and Epiregulation of Alpha Zein Gene Copies in Maize Haplotypes (2011)

Multigenic traits are very common in plants and cause diversity. Nutritional quality is such a trait, and one of its factors is the composition and relative expression of storage protein genes. In maize, they represent a medium-size gene family distributed over several chromosomes and unlinked locations. Two inbreds, B73 and BSSS53, both from the Iowa Stiff Stock Synthetic collection, have been selected to analyze allelic and non-allelic variability in these regions that span between 80-500 kb of chromosomal DNA. Genes were copied to unlinked sites before and after allotetraploidization of maize, but before transposition enlarged intergenic regions in a haplotype-specific manner. Once genes are copied, expression of donor genes is reduced relative to new copies. Epigenetic regulation seems to contribute to silencing older copies, because some of them can be reactivated when endosperm is maintained as cultured cells, indicating that copy number variation might contribute to a reserve of gene copies. Bisulfite sequencing of the promoter region also shows different methylation patterns among gene clusters as well as differences between tissues, suggesting a possible position effect on regulatory mechanisms as a result of inserting copies at unlinked locations. The observations offer a potential paradigm for how different gene families evolve and the impact this has on their expression and regulation of their members.
A proteomics study to explore the role of adsorbed serum proteins for PC12 cell adhesion and growth on chitosan and collagen/chitosan surfaces (2018)

The aim of this article is to apply proteomics in the comparison of the molecular mechanisms of PC12 cell adhesion and growth mediated by the adsorbed serum proteins on the surfaces of chitosan and collagen/chitosan films. First, the chitosan and the collagen/chitosan films were prepared by spin coating; and their surface morphologies were characterized by scanning electron microscopy, X-ray energy dispersive spectroscopy, contact angle measurement and Fourier transform infrared spectroscopy. Subsequently, cell proliferation experiments on two materials were performed and the dynamic curves of protein adsorption on their surfaces were measured. Then, proteomics and bioinformatics were used to analyze and compare the adsorbed serum proteins on the surfaces of two biomaterials; and their effects on cell adhesion were discussed. The results showed that the optimum concentration of chitosan film was 2% w/v. When compared with chitosan film, collagen/chitosan film promoted the growth and proliferation of PC12 cells more significantly. Although the dynamic curves showed no significant difference in the total amount of the adsorbed proteins on both surfaces, proteomics and bioinformatics analyses revealed a difference in protein types: the chitosan surface adsorbed more vitronectin whereas collagen/chitosan surface adsorbed more fibronectin 1 and contained more cell surface receptor binding sites and more Leu-Asp-Val sequences in its surface structure; the collagen/chitosan surface were more conducive to promoting cell adhesion and growth.
Early changes in gene expression profiles of hepatic GVHD uncovered by oligonucleotide microarrays (2003)

The liver, skin, and gastrointestinal tract are major target organs of acute graft-versus-host disease (GVHD), the major complication of allogeneic bone marrow transplantation (BMT). In order to gain a better understanding of acute GVHD in the liver, we compared the gene expression profiles of livers after experimental allogeneic and syngeneic BMT using oligonucleotide microarray. At 35 days after allogeneic BMT when hepatic GVHD was histologically evident, genes related to cellular effectors and acute-phase proteins were up-regulated, whereas genes largely related to metabolism and endocrine function were down-regulated. At day 7 after BMT before the development of histologic changes in the liver, interferon gamma (IFN-gamma)-inducible genes, major histocompatibility (MHC) class II molecules, and genes related to leukocyte trafficking had been up-regulated. Immunohistochemistry demonstrated that expression of IFN-gamma protein itself was increased in the spleen but not in hepatic tissue. These results suggest that the increased expression of genes associated with the attraction and activation of donor T cells induced by IFN-gamma early after BMT is important in the initiation of hepatic GVHD in this model and provide new potential molecular targets for early detection and intervention of acute GVHD.
OsASN1 Overexpression in Rice Increases Grain Protein Content and Yield under Nitrogen-Limiting Conditions (2020)

Nitrogen (N) is a major limiting factor affecting crop yield in unfertilized soil. Thus, cultivars with a high N use efficiency (NUE) and good grain protein content (GPC) are needed to fulfill the growing food demand and to reduce environmental burden. This is especially true for rice (Oryza sativa L.) that is cultivated with a high input of N fertilizer and is a primary staple food crop for more than half of the global population. Here, we report that rice asparagine synthetase 1 (OsASN1) is required for grain yield and grain protein contents under both N-sufficient (conventional paddy fields) and N-limiting conditions from analyses of knockout mutant plants. In addition, we show that overexpression (OX) of OsASN1 results in better nitrogen uptake and assimilation, and increased tolerance to N limitation at the seedling stage. Under field conditions, the OsASN1 OX rice plants produced grains with increased N and protein contents without yield reduction compared to wild-type (WT) rice. Under N-limited conditions, the OX plants displayed increased grain yield and protein content with enhanced photosynthetic activity compared to WT rice. Thus, OsASN1 can be an effective target gene for the development of rice cultivars with higher grain protein content, NUE, and grain yield under N-limiting conditions.
Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines (2016)

The selection of binary similarity and dissimilarity measures for multivariate analysis is data dependent. The proposed method can be used to find the most suitable binary similarity and dissimilarity equation wisely for a particular data. Our finding suggests that all four types of matching quantities in the Operational Taxonomic Unit (OTU) table are important to calculate the similarity and dissimilarity coefficients between herbal medicine formulas. Also, the binary similarity and dissimilarity measures that include the negative match quantity d achieve better capability to separate herbal medicine pairs compared to equations that exclude d.
Information content of data measured with a multiple-field-of-view lidar (2006)

Lidars with multiple fields of view (MFOVs) are promising tools for gaining information on cloud particle size. We perform a study of the information content of MFOV lidar data with the use of eigenvalue analysis. The approach we have developed permits an understanding of the main features of MFOV lidars and provides a way to relate the accuracy of particle size estimation with the measurement uncertainty and the scattering geometry such as the cloud-base height and the lidar sounding depth. Second-order scattering computations are performed for an extended range of particle sizes and for a wide range of lidar fields of view (FOVs). The results obtained allow us to specify the areas of possible applications of these lidars in cloud studies. Comparison of results obtained with polarized and cross-polarized scattered components demonstrate that the cross-polarized signal should provide a more stable retrieval and is preferable when double scattering is highly dominant. Our analysis allows for the estimation of the optimal number of FOVs in the system and their angular distribution, so this work can be a useful tool for practical MFOV lidar design.
Measurement of xenon viscosity as a function of low temperature and pressure (1998)

The measurement of xenon gas viscosity at low temperatures (175-298 K) and low pressures (350 torr-760 torr) has been performed in support of Hall Thruster testing at NASA Lewis Research Center. The measurements were taken using the capillary flow technique. Viscosity measurements were repeatable to within 3%. The results in this paper are in agreement with data from Hanley and Childs and suggest that the data from Clarke and Smith is approximately 2% low. There are no noticeable pressure effects on xenon absolute viscosity for the pressure range from 350 torr to 760 torr.
The cystic fibrosis transmembrane conductance regulator as a biomarker in non-small cell lung cancer (2015)

An increased risk of non-small cell lung cancer (NSCLC) in cystic fibrosis (CF) patients and carriers of CF transmembrane conductance regulator (CFTR) mutations has been proposed. However, the role of CFTR in lung cancer remains controversial. In the present study, CFTR expression was assessed in 165 NSCLC tumors and 22 normal lung samples with validation in an independent series of 131 samples. The effect of gain and loss of CFTR on the malignant behavior of NSCLC was examined. The effect of CFTR manipulation on tumor metastasis was examined in a mouse model. Expression of CFTR was downregulated in NSCLC (p=0.041). Low CFTR expression was correlated with advanced stage (p<0.001) and lymph node metastasis (p=0.009). Low CFTR expression was significantly associated with poor prognosis (overall survival: 45 vs. 36 months, p<0.0001; progression-free survival: 41 vs. 30 months, p=0.007). Knockdown of CFTR in NSCLC cells enhanced malignant behavior (epithelial-mesenchymal transition, invasion and migration); in contrast, overexpression of CFTR suppressed cancer progression in vitro and in vivo. The tumor-suppressing effect of CFTR was associated with inhibition of multiple uPA/uPAR-mediated malignant traits in culture. These results show that CFTR plays a role in inhibition of NSCLC metastasis and suggest that CFTR may serve as a novel indicator for predicting adverse prognosis and metastasis in NSCLC patients.
Nanomaterial Design for Efficient Solar-Driven Steam Generation (2019)

Solar-driven evaporation of water is a simple and “green” way to achieve fresh water and water purification, yet evaporation of bulk liquid using solar energy is rather low in efficiency and may require a costly optical concentration system. Recently, the technology has been rejuvenated by advanced nanomaterials for localized solar heating and rapid evaporation in a confined environment. Design of innovative nanomaterials enables solar-driven vapor generation featured with direct utilization of solar energy with no additional energy input, minimized heat loss, high efficiency, and structural flexibility, as well as potential scalable production. Controlled micro-/nanostructures of broadband photothermal nanomaterials, as well as the macroscopic assembly of desired components, are essential for these next-generation solar-driven vapor generation systems. In this work, the recent advances in design and assembly of nanomaterials/structures for optimal solar-driven vapor generation are reviewed. The design/preparation strategies, working mechanisms, and performance of the solar-driven vapor generation based on these nanomaterials are discussed. Strategies for further optimization of materials/structures for solar absorption, heat management, and water transport are summarized for solar-driven vapor generation. This contribution concludes with comments on challenges and future opportunities in the field.
Probing of DNA-Binding Sites of <i>Escherichia coli</i> RecA Protein Utilizing 1-Anilinonaphthalene-8-sulfonic Acid (1998)

RecA protein of Escherichia coli plays an essential role in homologous recombination of DNA strands. To analyze the interaction of RecA with single-stranded DNA (ssDNA), we performed a fluorescence competition assay employing 1-anilinonaphthalene-8-sulfonic acid (ANS) as an extrinsic fluorescent probe. ANS bound to RecA at three sites, leading to enhancement of ANS fluorescence. Addition of synthetic polynucleotides to the RecA-ANS complex in the absence of a nucleotide quenched the ANS fluorescence, indicating displacement of ANS molecules by ssDNA. Less effective quenching by poly(dA) suggests that the nucleoprotein filament on poly(dA) may differ from those on poly(dT) and poly(dC). A titration experiment with poly(dT) and poly(dA) showed clear stoichiometric binding of 3.5 nucleotides per protein. The site size for poly(dC) was 7.0, which could be explained by the formation of a double helix of poly(dC). ATP and other nucleotides also displaced the ANS. To identify ANS-binding sites, ANS was incorporated into RecA by UV irradiation, and fluorescent peptides were isolated from the proteolytic digest. Sequence analysis suggested that ANS binds to or near the ATP-binding region. These results suggest that the fluorescence quenching and photoincorporation assay using ANS may be useful for the analysis of the interaction of a protein and its ligand.
Precision Immuno-Oncology: Prospects of Individualized Immunotherapy for Pancreatic Cancer (2018)

Pancreatic cancer, most commonly referring to pancreatic ductal adenocarcinoma (PDAC), remains one of the most deadly diseases, with very few effective therapies available. Emerging as a new modality of modern cancer treatments, immunotherapy has shown promises for various cancer types. Over the past decades, the potential of immunotherapy in eliciting clinical benefits in pancreatic cancer have also been extensively explored. It has been demonstrated in preclinical studies and early phase clinical trials that cancer vaccines were effective in eliciting anti-tumor immune response, but few have led to a significant improvement in survival. Despite the fact that immunotherapy with checkpoint blockade (e.g., anti-cytotoxic T-lymphocyte antigen 4 [CTLA-4] and anti-programmed cell death 1 [PD-1]/PD-L1 antibodies) has shown remarkable and durable responses in various cancer types, the application of checkpoint inhibitors in pancreatic cancer has been disappointing so far. It may, in part, due to the unique tumor microenvironment (TME) of pancreatic cancer, such as existence of excessive stromal matrix and hypovascularity, creating a TME of strong inhibitory signaling circuits and tremendous physical barriers for immune agent infiltration. This informs on the need for combination therapy approaches to engender a potent immune response that can translate to clinical benefits. On the other hand, lack of effective and validated biomarkers to stratify subgroup of patients who can benefit from immunotherapy poses further challenges for the realization of precision immune-oncology. Future studies addressing issues such as TME modulation, biomarker identification and therapeutic combination are warranted. In this review, advances in immunotherapy for pancreatic cancer were discussed and opportunities as well as challenges for personalized immune-oncology were addressed.
Vehicle‐to‐vehicle communications and ranging system using spread spectrum techniques (1996)

Abstract A vehicle‐to‐vehicle communications and ranging system able to perform communications and ranging simultaneously using spread spectrum techniques is proposed in this paper. In this system, a vehicle (Vehicle‐A) can obtain information on a target vehicle (Vehicle‐B) by spread spectrum demodulation based on information calculated and retransmitted by Vehicle‐B in response to a PN signal transmitted by Vehicle‐A. The distance between Vehicle‐A and Vehicle‐B can be measured accurately by detecting the phase difference of the sent and received PN signals. In addition, Vehicle‐A can measure the distance between the two vehicles only through the waves reflected from the transmitted PN signal (as in the case of conventional spread spectrum radar), even if the target vehicle system is not a system‐loaded vehicle. This system not only prevents accidents but also allows safe driving without delay by communicating vehicle information and operator information and then measuring the distance between two vehicles effectively. Computer simulation results confirmed that the proposed system allows Vehicle‐A to demodulate information from Vehicle‐B and measure the distance between the vehicles simultaneously even when interference signals from vehicles running in the same or opposite direction exist.
Stability of an Al-Fumarate MOF and Its Potential for CO<sub>2</sub> Capture from Wet Stream (2016)

In this work, a new aluminum fumarate MOF was investigated regarding its water stability and CO2 adsorption in the presence and absence of water. The adsorption equilibrium isotherms were measured at 303, 323, and 348 K for CO2 and at 288 and 313 K for water vapor. Water vapor adsorption isotherms are type IV and were fit using the Langmuir-Ising model. The adsorption capacity of CO2 at 303 K and 1.0 bar was 2.1 mmol/g and remained constant after exposure to humidity and regeneration. The isosteric heats of adsorption were 21 and 44 kJ/mol for CO2 and H2O, respectively. Fixed bed experiments were performed at 303 K to determine breakthrough curves of CO2, water vapor, and the CO2/water vapor mixture. Binary breakthrough indicated a reduction of only 17% in CO2 adsorption capacity for a stream with 14% RH. The remarkable stability of this MOF suits it for such applications as CO2 capture and thermal storage with water.
Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders (2015)

Predictive modeling of human or humanoid movement becomes increasingly complex as the dimensionality of those movements grows. Dynamic Movement Primitives (DMP) have been shown to be a powerful method of representing such movements, but do not generalize well when used in configuration or task space. To solve this problem we propose a model called autoencoded dynamic movement primitive (AE-DMP) which uses deep autoencoders to find a representation of movement in a latent feature space, in which DMP can optimally generalize. The architecture embeds DMP into such an autoencoder and allows the whole to be trained as a unit. To further improve the model for multiple movements, sparsity is added for the feature layer neurons; therefore, various movements can be observed clearly in the feature space. After training, the model finds a single hidden neuron from the sparsity that can efficiently generate new movements. Our experiments clearly demonstrate the efficiency of missing data imputation using 50-dimensional human movement data.
Reduced cognitive and psychomotor impairment with extended-release oxymorphone versus controlled-release oxycodone. (2011)

Single oral intact low and high doses of OM-ER produced less cognitive and psychomotor impairment plus less sedation than equianalgesic OC-CR in this exploratory study. ClinicalTrials.gov registration NCT00955110.
Einleitung (1994)

Keine Musik ist unpolitisch. Das heißt, jede Musik kann einen politischen Gehalt oder eine politische Funktion haben; es heißt nicht, daß sie es zu jeder Zeit, an jedem Ort haben muß. Dieser Abhängigkeit von Ort und Zeit wird in vorliegender Studie nachgegangen in Hinblick auf die Rezeption von Musik unter politischen Vorzeichen. Denn die soziale Bedeutung musikalischer Texte definiert sich nicht allein durch sie selbst, sondern ergibt sich vor allem durch den Kontext, in dem sich die klangliche Realisierung der Musik als Medium sozialer Kommunikation vollzieht. Gleichwohl ist die Variabilität der Rezeption keine beliebige. Wie das Ergebnis dieser Untersuchung zeigt, setzte nach dem Ersten Weltkrieg in Deutschland ein Prozeß der Politisierung von Musik ein, der im vielschichtigen Beziehungsgeflecht von Musik und Politik entscheidend neue Strukturen ausprägte, welche grundlegende Elemente in der deutschen Diskussion über Musik und Politik im 20. Jahrhundert wurden. Dieser Prozeß wird hier erstmals beschrieben.