gebhart/patrepeval huggingface dataset:
The Role of Established Breast Cancer Susceptibility Loci in Mammographic Density in Young Women (2008)

Recently, three genome-wide association studies identified and validated multiple novel loci as contributors to breast cancer susceptibility ([1][1]-[3][2]). In two of these studies ([1][1], [2][3]), the most significant association was with a common variant (rs2981582) in FGFR2 , a gene implicated
Exploiting logical document structure for anaphora resolution (2006)

The aim of the paper is twofold.Firstly, an approach is presented how to select the correct antecedent for an anaphoric element according to the kind of text segments in which both of them occur.Basically, information on logical text structure (e.g.chapters, sections, paragraphs) is used in order to select the antecedent life span of a linguistic expression, i.e. some linguistic expressions are more likely to be chosen as an antecedent throughout the whole text than others.In addition, an appropriate search scope for an anaphora expressed by an expression can be define according to the document structuring elements that include the linguistic expression.Corpus investigations give rise to the supposition that logical text structure influence the search scope of candidates for antecedents.Second, a solution is presented how to integrate the resources used for anaphora resolution.In this approach, multi-layered XML annotation is used in order to make a set of resources accessible for the anaphora resolution system.
Development, Optimization, and In Vivo Validation of New Imidazopyridine Chemotypes as Dual TLR7/TLR9 Antagonists through Activity-Directed Sequential Incorporation of Relevant Structural Subunits (2022)

Undesirable activation of endosomal toll-like receptors TLR7 and TLR9 present in specific immune cells in response to host-derived ligands is implicated in several autoimmune diseases and other contexts of autoreactive inflammation, making them important therapeutic targets. We report a drug development strategy identifying a new chemotype for incorporating relevant structural subunits into the basic imidazopyridine core deemed necessary for potent TLR7 and TLR9 dual antagonism. We established minimal pharmacophoric features in the core followed by hit-to-lead optimization, guided by in vitro and in vivo biological assays and ADME. A ligand-receptor binding hypothesis was proposed, and selectivity studies against TLR8 were performed. Oral absorption and efficacy of lead candidate <b>42</b> were established through favorable in vitro pharmacokinetics and in vivo pharmacodynamic studies, with IC<sub>50</sub> values of 0.04 and 0.47 μM against TLR9 and TLR7, respectively. The study establishes imidazopyridine as a viable chemotype to therapeutically target TLR9 and TLR7 in relevant clinical contexts.
Regulation of cardiomyocyte proliferation during development and regeneration (2014)

The regulation of cardiomyocyte proliferation is important for heart development and regeneration. The proliferation patterns of cardiomyocytes are closely related to heart morphogenesis, size, and functions. The proliferation levels are high during early embryogenesis; however, mammalian cardiomyocytes exit the cell cycle irreversibly soon after birth. The cell cycle exit inhibits cardiac regeneration in mammals. On the other hand, cardiomyocytes of adult zebrafish and probably newts can proliferate after cardiac injury, and the hearts can be regenerated. Therefore, the ability to reproliferate determines regenerative ability. As in other cells, the relationship between proliferation and differentiation is very interesting, and is closely related to cardiac development, regeneration and homeostasis. In this review, these topics are discussed.
Multi-wavelength approach towards on-product overlay accuracy and robustness (2018)

Success of diffraction-based overlay (DBO) technique<sup>1,4,5</sup> in the industry is not just for its good precision and low toolinduced shift, but also for the measurement accuracy<sup>2</sup> and robustness that DBO can provide. Significant efforts are put in to capitalize on the potential that DBO has to address measurement accuracy and robustness. Introduction of many measurement wavelength choices (continuous wavelength) in DBO is one of the key new capabilities in this area. Along with the continuous choice of wavelengths, the algorithms (fueled by swing-curve physics) on how to use these wavelengths are of high importance for a robust recipe setup that can avoid the impact from process stack variations (symmetric as well as asymmetric). All these are discussed. Moreover, another aspect of boosting measurement accuracy and robustness is discussed that deploys the capability to combine overlay measurement data from multiple wavelength measurements. The goal is to provide a method to make overlay measurements immune from process stack variations and also to report health KPIs for every measurement. By combining measurements from multiple wavelengths, a final overlay measurement is generated. The results show a significant benefit in accuracy and robustness against process stack variation. These results are supported by both measurement data as well as simulation from many product stacks.
ChemInform Abstract: Biocatalytic Synthesis of Aromatics from D‐Glucose: The Role of Transketolase (1992)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 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.
Multivalent comb-type aptamer–siRNA conjugates for efficient and selective intracellular delivery (2014)

In this study, a simple and efficient strategy for selective intracellular delivery of RNA therapeutics into target cancer cells was designed using direct complementary base pairing between chemically conjugated multimeric antisense strands and aptamer-incorporating sense strands.
The DriveU Traffic Light Dataset: Introduction and Comparison with Existing Datasets (2018)

Autonomous driving is a topic in computer vision which has captured a great deal of attention in recent years. One key problem is the detection and state analysis of traffic lights. Even over time, very few datasets for research in this topic have been published and they vary widely in quantity and in quality. To address the complexity of traffic light recognition, we introduce the DriveU**driveU is a joint innovation center of the Daimler AG and the University of Ulm Traffic Light Dataset (DTLD), a large-scale dataset consisting of more than 230,000 annotations. All annotations are hand-labeled according to strict rules and show a high quality. Recordings were made in eleven different cities during different weather conditions. Our dataset exceeds previous traffic light datasets in size, variance, annotation quality and amount of additional sensor data. We prove the extent of our dataset by an extensive comparison with existing traffic light datasets. Miscellaneous dataset criteria are compared, illustrated and statistically analyzed. In the process, metrics to express the quality and variance of datasets are developed and verified. The dataset can be downloaded from http://traffic-light-data.de.
A Cost Estimation Model for Repair Bridges Based on Artificial Neural Network (2008)

Estimating the total cost of bridges repair and maintenance with high accuracy is an important components, and points to a need for a cost estimation model. This paper focuses on the development of a more accurate estimation model for repair and maintenance of bridges in developing countries using artificial neural networks. Cost and design data for two categories of repair bridges were used for training and testing our neural network model, with only three main parameters used in estimating the total cost of repairing bridges. An accuracy of 96% was achieved.
Two-Component Sensory Transduction Systems in Phytobacteria (1992)

Beneficial microbes in the microbiome of plant roots improve plant health. Induced systemic resistance (ISR) emerged as an important mechanism by which selected plant growth–promoting bacteria and fungi in the rhizosphere prime the whole plant body for ...Read More
Seismic velocity studies of a gas hydrate bottom‐simulating reflector on the northern Cascadia continental margin: Amplitude modeling and full waveform inversion (1999)

On the northern Cascadia subduction margin, the multichannel seismic amplitude‐versus‐offset (AVO) behavior of a bottom‐simulating reflector (BSR) suggests a P wave velocity change from high‐velocity hydrate‐bearing sediment to lower velocity sediment containing a small amount of free gas. The observed nonlinear AVO behavior, constant or slightly decreasing amplitudes at near‐to‐mid offsets and a large‐amplitude increase at far offsets, can be reproduced in the models if an S wave velocity enhancement is assumed as expected from hydrate cementation. The AVO behavior of the hydrate BSR is found not to be as useful as was earlier thought for determining the amount of free gas below the BSR. This is because Poisson's ratio change below the BSR due to gas is likely very small in high‐porosity unconsolidated sediments. The uncertainty in the models is large, as there is no reliable S wave velocity information for the sediments containing hydrate or gas. AVO modeling alone is not sufficient to distinguish different velocity models across the BSR. Our interpretation of the BSR amplitude behavior is that a P wave velocity increase above the BSR is the main cause of the BSR reflection amplitude increase at large incidence angles. Caution must be taken in applying AVO analysis, as little is known about S wave velocities. However, subtle differences in BSR amplitude behavior and reflection waveform can provide constraints through very careful full waveform inversion. A well‐defined reference velocity‐depth profile is also required to represent water‐saturated sediment unaffected by either hydrate or free gas. Using full waveform velocity inversion, a high‐resolution velocity model for the hydrate BSR has been derived. The best fit model for the seismic data near the Ocean Drilling Program (ODP) sites 889/890 consists of a high‐velocity zone above the BSR and a thin low‐velocity layer below, in agreement with the ODP downhole velocity data.
The Development of Mobile Culinary Recommendation System Based on Group Decision Support System (2018)

Mobile based culinary recommendation system has received significant attention in recent mobile application research . Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has regained popularity in supporting multi-criteria decision making due to this method allowing inclusion of many factors and criteria into the decision making process. Previous works on mobile based scenario culinary recommendation system reveal that TOPSIS stand out from other recommendation approaches like AHP and Fuzzy by providing a lightweight computation algorithm that have promising performance in time complexity. However, computing a culinary recommendation using TOPSIS has own limitations especially in the menu judgment processes due to the alternatives priority only include personal preferences for recommendation. In such a culinary recommendation system scenario, users more likely search culinary menus in group instead of alone. This research aims to develop a culinary recommendation system based on group decision support system (GDSS) using TOPSIS that possible to calculate a recommendation by using group preferences instead of personal preferences. The experimental results show that the overall functional of proposed GDSS gives better recommendation result. GDSS using TOPSIS have 100% rank consistency for 6 group of users with 5 combination of menus. The accuracy testing shows that 83,33 % recommendation of GDSS TOPSIS are match with real user preferences. Furthermore, it can be run well in various type of Android smartphone.
Gibberellin Metabolism and its Regulation (2008)

Bioactive gibberellins (GAs) are diterpene plant hormones that are biosynthesized through complex pathways and control diverse aspects of growth and development. Biochemical, genetic, and genomic approaches have led to the identification of the majority of the genes that encode GA biosynthesis and deactivation enzymes. Recent studies have highlighted the occurrence of previously unrecognized deactivation mechanisms. It is now clear that both GA biosynthesis and deactivation pathways are tightly regulated by developmental, hormonal, and environmental signals, consistent with the role of GAs as key growth regulators. In some cases, the molecular mechanisms for fine-tuning the hormone levels are beginning to be uncovered. In this review, I summarize our current understanding of the GA biosynthesis and deactivation pathways in plants and fungi, and discuss how GA concentrations in plant tissues are regulated during development and in response to environmental stimuli.
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection (2015)

Dot product is a key building block in a number of data mining algorithms from classification, regression, correlation clustering, to information retrieval and many others. When data is high dimensional, the use of random projections may serve as a universal dimensionality reduction method that provides both low distortion guarantees and computational savings. Yet, contrary to the optimal guarantees that are known on the preservation of the Euclidean distance cf. the Johnson-Lindenstrauss lemma, the existing guarantees on the dot product under random projection are loose and incomplete in the current data mining and machine learning literature. Some recent literature even suggested that the dot product may not be preserved when the angle between the original vectors is obtuse.
<i>N</i> ‐Dichloromethylene‐ <i>N</i> , <i>N</i> ‐Dimethyliminium Chloride (2021)

[33842-02-3] C3H6Cl3N (MW 162.44) InChI = 1S/C3H6Cl2N.ClH/c1-6(2)3(4)5;/h1-2H3;1H/q+1;/p-1 InChIKey = NRNFKRFWZQQDMD-UHFFFAOYSA-M (chlorinating and dehydrating agent, substitute for phosgene, powerful electrophile for electrophilic aromatic substitution in Vilsmeier-like reactions, multiple condensations afford entry to several heterocyclic systems1,2) Alternative Name: N,N-dimethyldichloromethyleneiminium chloride, phosgene iminium chloride, Viehe's salt. Physical Data: mp 194–196 °C; due to difficulties in purification and storage, mp can vary, decomposition begins at 130 °C and is rapid at the melting point. Solubility: soluble in acetonitrile, nitrobenzene, and halogenated solvents; incompatible with nucleophilic solvents and those that can be dehydrated. Form Supplied in: hygroscopic colorless solid. Analysis of Reagent Purity: mp, H NMR. Preparative Methods: prepared by exhaustive chlorination of tetramethylthiuram disulfide, first with sulfuryl chloride to form thiocarbamoyl chloride, then with phosphorous pentachloride.3 Purification: generally used as prepared; most impurities are less reactive than the reagent itself; solubilities make purification difficult. Handling, Storage, and Precautions: extremely moisture sensitive, highly reactive; store as solid with moisture excluded.
Efficient diagnostic tracing for wireless sensor networks (2010)

Wireless sensor networks (WSNs) are hard to program due to unconventional programming models used to satisfy stringent resource constraints. The common event-driven concurrent programming model and lack of kernel protection in these systems introduce the possibility of several subtle faults such as race conditions. These faults are often triggered by unexpected interleavings of events in the real world, and can occur long after their causes. Reproducing a fault from the trace of the past events can play a crucial role in debugging such faults. The same tight constraints that motivate the specific programming model however make tracing challenging. This paper proposes an efficient intra-procedural and inter-procedural control-flow tracing algorithm that generates the traces of all interleaving concurrent events. Our approach enables reproducing faults at a later stage, allowing the programmer to identify them effectively. We argue for the accuracy of our approach through case studies, and illustrate its low overhead through measurements and simulations.
Constitutional Drift: Toward the End of Federal Shop-Closing (<i>Ladenschluss</i>) Regulation (2004)

Germany's Federal Constitutional Court held on June 9, 2004, that the weekend and holiday closing requirements of the federal Shop-Closing Act ( Ladenschlussgesetz ) are compatible with the Basic Law. At the same time, however, the Court's decision in this Weekend Shop-Closing Case situated the Act's Saturday closing requirement – and by implication its weekday closing requirements too – perilously close to the brink of unconstitutionality.
Porous Single-Wall Carbon Nanotube Templates Decorated with All-inorganic Perovskite Nanocrystals for Ultraflexible Photodetectors (2019)

As an inevitable optoelectronic material with unique properties, halide perovskites have attracted increasing attention in recent years. Meanwhile, the hybridization of nanostructured perovskites with one-dimensional (1D) or two-dimensional (2D) functional materials has exhibited unique applications in nanotechnology. In this communication, a highly conducting porous single-wall carbon nanotube (p-SWCNT) template decorated with phase-pure CsPbBr3 nanocrystals by a simple solution-phase technique was demonstrated, and the ultraflexible photodetector Au/p-SWCNT:CsPbBr3/Au showed high sensitivity even in a highly bending state. Also, the mechanism of wetting CsPbBr3 along the p-SWCNT and the detailed fabrication process for the ultraflexible photodetectors were highlighted. The direct contact (in situ) on the p-SWCNT by crystallization of the perovskite precursor can effectively enhance the charge transfer at their interface. At an applied bias of +5 V, the optimized photodetector Au/p-SWCNT:CsPbBr3/Au exhibits a maximum photoresponsivity of 41.0 AW–1 with a specific detectivity of 1.67 × 1012 Jones under an incident 232 μW/cm2 520 nm illumination. In addition, it exhibits excellent mechanical and electrical properties even under high strain (i.e., bending angle up to −17°) and recovers the original performance after repeated bending cycles up to 1000 times. Our experimental results showed that such hybrid materials provide a promising method for rigid and flexible optoelectronic devices.
Evaluation of EOR Potential by Gas and Water Flooding in Shale Oil Reservoirs (2013)

The demand for oil and natural gas will continue to increase for the foreseeable future; unconventional resources such as tight oil, shale gas, shale oil will pose an irreplaceable role in oil and gas industry to fill the gap between demand and supply. With the relatively modest natural gas price, producing oil from unconventional shale reservoirs, which are less common and less well understood than conventional sandstone and carbonate reservoirs, has attracted more and more interest from oil operators.\nThrough many tremendous efforts on the development of shale resources, the horizontal well-drilling with multiple transverse fractures has proven to be an effective method for shale gas reservoirs exploitation and it has also been used in extracting oil from shale reservoirs by some operators. However, the oil recovery is very low (5-10%). For the important role of shale resources in future oil and gas industry, more stimulation and production strategies must be considered and tested to find better methods to improve oil production from shale reservoirs.\nGas flooding and water flooding, relatively simple and cheaper EOR techniques, which have been successfully implemented in conventional and some unconventional tight oil reservoirs for a long time, are considered in our work. A black-oil simulator developed by Computer Modeling Group Ltd was selected in our work. We build a reservoir model of 200ft long, 1000ft wide and 200 ft thick two 1-ft wide ×1000-ft long hydraulic fractures to simulate gas flooding and water flooding in shale oil reservoirs. \nWe first validate a base model, and discussed the determination of miscibility parameter and injection pressure. Production behavior and oil recovery of different plans are discussed through sensitivity studies. Simulation results of primary production, gas injection and water injection are compared in this thesis. Results show that miscible gas injection has better effect on improving oil recovery from shale reservoirs than water injection. Solvent injected into the reservoirs above MMP can be fully miscible with oil, reducing oil viscosity greatly, and can lead a better sweep efficiency besides pressure maintenance. Our simulation results indicate that the oil recovery can be increased up to 15.1% by using gas injection in a hydraulically fractured shale reservoir, compared with the original 6.5% recovery from the primary depletion. \nThis thesis provides a preliminary analysis to regarding the EOR potentials by gas and water flooding in shale oil reservoirs. The results show that miscible gas flooding could be a good prospect in future development of shale oil resources.
Tire-road forces estimation using extended Kalman filter and sideslip angle evaluation (2008)

Main task in driving safety is the understanding and prevention of risky situations. While looking closer at the accidents data analysis, it appears that vehicle loss of control represents a huge part of car accidents. Preventing such kind of accidents, using assistance systems needs several type of information about vehicle state and vehicle-road interaction phenomenon. Longitudinal velocity, acceleration and yaw rate are easily measured using low cost sensors that are actually mounted in standard on a large part of vehicles. However, other parameters, which have a major impact on vehicle dynamics, are more difficult to measure using vehicle industry technology sensors. These are for example the used friction coefficient and the sideslip angle. Using an appropriate vehicle model and available measurements, the vehicle state as well as the road/tire interaction forces are reconstructed by implementing an extended Kalman filter. Thereafter, we evaluate the used friction coefficient and the sideslip angle estimates. Simulation and estimation results are then compared to real measurements collected by an equipped test vehicle on Satory test track.
Battery discharge rate prediction model for mobile phone using data mining (2014)

This paper proposes an framework to create the prediction model for energy consumption of mobile phone battery using data mining, based on three usage patterns of the phone: the standby state, video playing, and web browsing. In this model, the battery discharge rate are analyzed and used for constructing the model. To predict the power used, the perception neural network and support vector machine are employed. The measurement of prediction efficiency is done by the mean absolute error (MAE) and Root mean squared error (RMSE) of the model. According to the developed model, it is found that the Support Vector Machine with the kernel function Linear based on the polynomial equation for predicting the energy consumption of mobile phone battery effective in prediction accuracy.