gebhart/patrepeval huggingface dataset:
Improved CNN-based Magnetic Indoor Positioning System using Attention Mechanism (2021)

Geomagnetic field fingerprinting is emerging as the most feasible and cost-effective alternative to WiFi and Bluetooth fingerprinting due to the omnipresence of magnetic field. With the increasing interest in applying deep learning methods to magnetic fingerprinting, attention mechanisms have been lately adopted to better recognize magnetic sequence patterns. In the last couple of years, several comparative studies have proved the added value of leveraging attention mechanisms in conjunction with Recurrent Neural Networks (RNNs) for indoor positioning systems treating sequential magnetic data. Yet, no study has been conducted to determine the performance contribution of these mechanisms to solutions based on Convolutional Neural Networks (CNNs). In this study, we propose a CNN-based indoor magnetic-only fingerprinting system using Recurrence Plots (RPs) as sequence fingerprints and approaching the localization problem from a regression perspective. Real-world data in an indoor environment are used to build the system, and fairly evaluate it before and after the introduction of an attention module. Our findings show that the architecture involving attention mechanism clearly outperforms the initial RP-based CNN, yet results in much higher prediction latency.
Relationships between rainfall anomalies over northeastern Brazil and the El Niño–Southern Oscillation (2006)

In this paper, sea surface temperature (SST) and sea level pressure variability modes associated with climate extremes (droughts and floods) over northeastern Brazil (NEB) stratified according to the El Niño–Southern Oscillation (ENSO) phases (El Niño, La Niña, and neutral) are reexamined. The analyses indicate that only 36% of the time an ENSO‐based forecast for the NEB climate would be right. This relatively low percentage is mostly because the interannual variations of the NEB climate are more closely tied to the tropical South Atlantic SST variability modes than to the tropical Pacific variability mode. An interesting aspect revealed in the present analysis is that hints of the February–April SST anomaly patterns in the tropical Atlantic for dry and wet cases which are not directly related to the ENSO can be found months prior to the NEB rainy season. Since these hints are particularly strong in the tropical South Atlantic, the SST variations in this sector during months prior to the rainy season should be carefully monitored in the diagnostic activities.
Expression of Oryza sativa MAP kinase gene is developmentally regulated and stress‐responsive (2002)

Mitogen-activated protein kinase (MAPK) pathways are modules involved in the transduction of extracellular signals to intracellular targets in all eukaryotes. In plants, there is evidence for MAPKs playing a role in the signalling of abiotic stresses, pathogens, plant hormones, and cell cycle cues. The large number and divergence of plant MAPKs indicates that this ancient mechanism of signal transduction is extensively used in plants. However, there have been no reports of classical MAPK module in rice. In this report, we have isolated a MAPK from rice (Oryza sativa) termed OsMAPK2. The cloned cDNA is 1457 nucleotides long and the deduced amino acid sequence comprised 369 amino acid residues. Sequence analysis revealed that the predicted amino acid sequence is 72% identical to tobacco wound-induced protein kinase (WIPK). Southern analysis suggested a single OsMAPK2 gene in rice. Analysis at the mRNA level has shown that OsMAPK2 is expressed in all plant organs and high relative amounts of OsMAPK2 were detected in the mature panicles in comparison with in the immature panicles. In suspension-cultured cells, the OsMAPK2 mRNA transcript increased markedly upon temperature downshift from 26 degrees C to 4 degrees C and sucrose starvation. In contrast, the OsMAPK2 mRNA level rapidly declined in rice cell challenged by high temperature. A similarly rapid response of OsMAPK2 was observed in stress-treated seedlings, demonstrating that response of the MAPK pathway occurs also in intact plants. These results suggest that this OsMAPK2 may function in the stress-signalling pathway as well as panicle development in rice.
Adsorption and diffusion of an alkali-metal adatom on transition-metal dichalcogenides (2006)

Employing total-energy density-functional theory calculations the adsorption energies, the diffusion pathways, and the barriers for a Li adatom on stepped ${\mathrm{TiSe}}_{2}$ surfaces with full relaxation of the atomic environment were studied. The minimum-energy paths for Li diffusion on a ${\mathrm{TiSe}}_{2}$ (0001) surface and across the $(10\overline{1}0)$ and $(\overline{1}2\overline{1}1)$ steps have been calculated. At the $(\overline{1}2\overline{1}1)$ step edge an Ehrlich-Schwoebel barrier of $0.31\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ was obtained, which is additional to the diffusion barrier of $0.25\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ on the flat surface. The energies for subsequent diffusion within the van der Waals gap have been calculated, too.
Quantitative Proteomics and Quantitative PCR as Predictors of cis-1,2-Dichlorethene and Vinyl Chloride Reductive Dechlorination Rates in Bioaugmented Aquifer Microcosms (2021)

Quantitative measurement of process-specific biomarker genes of Dehalococcoides mccartyi (Dhc) supports monitoring at chlorinated ethene contaminated sites. In this study, we varied Dhc cell abundances from ~103 to 108 cells/mL in aquifer microcosms and correlated the corresponding reductive dehalogenase (RDase) gene and RDase protein abundances with measured reductive dechlorination (RD) rates of cis-1,2-dichloroethene (cDCE) and vinyl chloride (VC). An additional set of microcosms tested the RD rate-predictive power of the regression analyses. These efforts revealed (1) that targeted proteomics quantifies Dhc biomarker proteins (e.g., TceA and VcrA, OmeA) over a relevant range of Dhc cell densities, and (2) that protein and gene abundances can predict RD rates. Protein detection limits translated to a rate coefficient of 10<sup>–4</sup> day<sup>–1</sup> (0.04 year<sup>–1</sup>) for both k<sub>cDCE</sub> and k<sub>vc</sub>, which is within the range observed at sites undergoing monitored natural attenuation (MNA) (i.e., without the implementation of enhanced bioremediation treatment). Rates predicted using a combination of quantitative biomarker gene and protein measurements generally resulted in the best match with experimentally determined rate constants. These new findings provide evidence that quantitative biomarker measurements may be useful predictors of in situ RD rates, which would constitute a major advance for the cost-effective management of contaminated sites.
Scoring dynamics across professional team sports: tempo, balance and predictability (2014)

Despite growing interest in quantifying and modeling the scoring dynamics within professional sports games, relative little is known about what patterns or principles, if any, cut across different sports. Using a comprehensive data set of scoring events in nearly a dozen consecutive seasons of college and professional (American) football, professional hockey, and professional basketball, we identify several common patterns in scoring dynamics. Across these sports, scoring tempo - when scoring events occur - closely follows a common Poisson process, with a sport-specific rate. Similarly, scoring balance - how often a team wins an event - follows a common Bernoulli process, with a parameter that effectively varies with the size of the lead. Combining these processes within a generative model of gameplay, we find they both reproduce the observed dynamics in all four sports and accurately predict game outcomes. These results demonstrate common dynamical patterns underlying within-game scoring dynamics across professional team sports, and suggest specific mechanisms for driving them. We close with a brief discussion of the implications of our results for several popular hypotheses about sports dynamics. (See supplementary material 1)
The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications (2005)

In Blind Source Separation (BSS) the objective is to extract source signals from their linear mixtures.Algorithms developed for Independent Component Analysis (ICA) have proven useful in the field of BSS.The Projection Approximation Subspace Tracking with Deflation (PASTD) algorithm, originally developed for subspace tracking, has been extended by using a nonlinear cost function so that it may be used for ICA/BSS.Such algorithms most often require the input signals to be white.In this report we extend the PASTD algorithm so that it can be used to whiten signals as a pre-processing step before ICA.The performance of the ICA-algorithm is then evaluated for different choices of whitening algorithms.The algorithms are also evaluated for Binary Phase Shift Keying (BPSK) modulated data over Rayleigh fading channels usually encountered in wireless communications. Acknowledgement The authors wish to thank Prof.Hans-Jürgen Zepernick, Dr. Nedelko Grbić, Dr.Jörgen Nordberg, Dr.Buon Kiong Lau and Dr.Farook Sattar for their detailed review, constructive criticism and excellent advice during the preparation and writing of this report.
Large-scale Top-down Proteomics of the Human Proteome: Membrane Proteins, Mitochondria, and Senescence (2013)

Top-down proteomics is emerging as a viable method for the routine identification of hundreds to thousands of proteins. In this work we report the largest top-down study to date, with the identification of 1,220 proteins from the transformed human cell line H1299 at a false discovery rate of 1%. Multiple separation strategies were utilized, including the focused isolation of mitochondria, resulting in significantly improved proteome coverage relative to previous work. In all, 347 mitochondrial proteins were identified, including ~50% of the mitochondrial proteome below 30 kDa and over 75% of the subunits constituting the large complexes of oxidative phosphorylation. Three hundred of the identified proteins were found to be integral membrane proteins containing between 1 and 12 transmembrane helices, requiring no specific enrichment or modified LC-MS parameters. Over 5,000 proteoforms were observed, many harboring post-translational modifications, including over a dozen proteins containing lipid anchors (some previously unknown) and many others with phosphorylation and methylation modifications. Comparison between untreated and senescent H1299 cells revealed several changes to the proteome, including the hyperphosphorylation of HMGA2. This work illustrates the burgeoning ability of top-down proteomics to characterize large numbers of intact proteoforms in a high-throughput fashion.
Mobility Prediction: A Survey on State-of-the-Art Schemes and Future Applications (2018)

Recently, mobility has gathered tremendous interest as the users’ desire for consecutive connections and better quality of service has increased. An accurate prediction of user mobility in mobile networks provides efficient resource and handover management, which can avoid unacceptable degradation of the perceived quality. Therefore, mobility prediction in wireless networks is of great importance and many works have been dedicated to this issue. In this paper, the necessity of mobility prediction, together with its intrinsic characteristics in terms of movement predictability, prediction outputs, and performance metrics is discussed. Moreover, the learning perspective of solutions to mobility prediction has been studied. Specifically, an overview of the state-of-the-art approaches is provided, including Markov chain, hidden Markov model, artificial neural network, Bayesian network, and data mining based on different kinds of knowledge. At last, this paper also explores the open research challenges due to the advent of the fifth-generation mobile system and puts forward some potential trends in the near future.
THE EFFECT OF POST MATERIAL ON STRESS DISTRIBUTION IN MANDIBULAR SECOND PREMOLAR TOOTH BY FINITE ELEMENT ANALYSIS (2008)

Introduction: The restoration material commonly used as core material for pulpless posterior teeth is mostly amalgam due to its high strength and low cost and it can be used with or without pin. The aim of this study was to evaluate the influence of post material on stress distribution in mandibular second premolar tooth by finite element analysis. Method: The stress distribution was analyzed in amalgam core supported with and without pin. Three dimensional plane strain models of the human mandibular second premolar were first made with pin amalgam and then with post amalgam. After applying the loading force at 45 degree angel, the stress distribution was analyzed in models. Results: Maximum stress in pin amalgam was more than that in post amalgam. The area of maximum stress in pin amalgam was at pin and core interface but in post amalgam it was at the margin of core in the side of applied force. The least stress was at the margin of core opposite to the side of force in both models and was more in pin amalgam than post amalgam. Conclusion: As the stress was more in pin amalgam than post amalgam so it can be said that the fracture strength of post amalgam is more than pin amalgam. Since crown increases fracture resistance of post and core, further studies for analysing stress distribution of amalgam core with crown is recommended.
Role Mining to Assist Authorization Governance (2012)

The concept of role has revolutionized the access control systems by making them more efficient and by simplifying their management. Role mining is the discipline of automating the definition of roles in a given access control system. It is a vivid research area, which has attracted a growing interest in the last years. Research on role mining has produced several interesting contributions in this field, and has also raised several related issues toward leveraging them in actual enterprises. This paper is a comprehensive analysis of the main research directions around role mining and the future trends. The authors present the problem of role mining, the current achievements to solve it and the related open issues. With this objective, they define a complete and realistic business process for Role Mining, and the authors sequentially analyze the issues related to each step of the process by investigating the main contributions in the literature. They also point the unhandled issues and we highlight the future perspectives.
Automated assembly of flip-up micromirrors (2002)

A microelectromechanical system for the automated assembly of flip-up micro-structures has been designed and fabricated. The system consists of a vertical thermal actuator, a linear assembly micromotor, and a self-engaging locking mechanism. The vertical thermal actuator is used to lift one end of the plate off of the substrate. This provides the linear assembly micromotor the leverage needed to push the plate up into a position where the self engaging locking mechanism secures the plate. The automated assembly system is demonstrated with a scanning micromirror and a corner cube reflector.
Tropomyosin Receptor Kinase B Expressed in Oligodendrocyte Lineage Cells Functions to Promote Myelin Following a Demyelinating Lesion (2020)

The levels of brain-derived neurotrophic factor (BDNF) in the corpus callosum have previously been shown to have a critical impact on oligodendrocyte (OLG) lineage cells during cuprizone-elicited demyelination. In particular, BDNF+/- mice exhibit greater losses in myelin protein levels compared to wild-type mice after cuprizone. To investigate whether OLGs may directly mediate these effects of BDNF during a lesion <i>in vivo</i>, we used the cuprizone model of demyelination with inducible conditional male knockout mice to specifically delete the high-affinity tropomyosin receptor kinase B (TrkB) receptor from proteolipid protein + OLGs during cuprizone-elicited demyelination and subsequent remyelination. The loss of TrkB during cuprizone-elicited demyelination results in an increased sensitivity to demyelination as demonstrated by greater deficits in myelin protein levels, greater decreases in numbers of mature OLGs, increased numbers of demyelinated axons, and decreased myelin thickness. When mice are removed from cuprizone, they exhibit a delayed recovery in myelin proteins and myelin. Our data indicate that following a demyelinating lesion, TrkB in OLGs positively regulates myelin protein expression, myelin itself, and remyelination.
Tumor Regression and Modulation of Gene Expression Via tumor-targeted Tocotrienol Niosomes (2017)

Findings suggested that tumor-targeted niosomes served as promising delivery system for T3 in cancer therapy.
Reactions of peroxobis(triphenylphosphine) platinum (II) and analogs with with carbon dioxide, carbon disulfide, and other unsaturated molecules (1970)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReactions of peroxobis(triphenylphosphine) platinum (II) and analogs with with carbon dioxide, carbon disulfide, and other unsaturated moleculesP. J. Hayward, D. M. Blake, G. Wilkinson, and C. J. NymanCite this: J. Am. Chem. Soc. 1970, 92, 20, 5873–5878Publication Date (Print):October 1, 1970Publication History Published online1 May 2002Published inissue 1 October 1970https://pubs.acs.org/doi/10.1021/ja00723a010https://doi.org/10.1021/ja00723a010research-articleACS PublicationsRequest reuse permissionsArticle Views521Altmetric-Citations118LEARN 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
Abstract 3504: A chemical biology screen identifies a unique vulnerability of neuroendocrine cancer cells to SQLE inhibition (2018)

Abstract Numerous reports have described the differential metabolism of cancer cells as compared to their normal counterparts. However, only relatively few metabolic genes with cancer-specific mutations have been reported and the identification of cancer subsets with particular metabolic vulnerabilities remains a challenge. To explore potential cancer-specific dependencies, we conducted a chemical biology screen utilizing a collection of small molecule inhibitors targeting diverse metabolic pathways in a large panel of cancer cell lines. A subset of neuroendocrine tumors, particularly small cell lung cancers (SCLC), displayed a striking dependence on squalene epoxygenase, SQLE, an enzyme in the cholesterol biosynthetic pathway. To develop further confidence in these findings, we have determined the first three-dimensional SQLE structure and further advanced a pharmacological toolbox for SQLE. Using these tools, we showed that the observed effects are on target and that the patterns of cellular sensitivity observed in vitro display excellent translation to in vivo xenografts studies. Interestingly, using a variety of orthogonal approaches, we demonstrated that SQLE sensitivity appears not to be related to overall inhibition of the cholesterol pathway but rather to specific and toxic accumulation of the SQLE substrate, squalene. Collectively, these findings highlight the utility of chemical biology screens and identify SQLE as a potential therapeutic target in a subset of neuroendocrine tumors, particularly SCLC. Citation Format: Christopher Mahoney, David Pirman, Victor Chubukov, Taryn Sleger, Anil Padyana, Stefan Gross, Sebastian Hayes, Zi Peng Fan, Gabrielle McDonald, Yu Chen, Joshua Murtie, Giovanni Cianchetta, Raj Nagaraja, Rohini Narayanaswamy, Sung Choe, Stuart Murray, Shengfang Jin, Scott Biller, Thomas Roddy, Gromoslaw A. Smolen. A chemical biology screen identifies a unique vulnerability of neuroendocrine cancer cells to SQLE inhibition [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3504.
Simple Technique for Frequency-Response Enhancement of Miniature Pressure Probes (1999)

THIS Note deals with the implementation of a simple technique to correct for the pressure measurement error produced in miniature multihole pressure probes caused by the lag in the response of the probe tubing system. As the size of the pressure probe is reduced in order to reduce flow disturbance, the probe's frequency response deteriorates. Reduced frequency response generally causes the wait times in flow-mapping experiments to increase. The wait time is the time that the probe, after it moves to a new measurement location in the flowfield, has to wait before data acquisition can be performed, in order for the pressures at the probe pressure transducers to reach steady state. Moreover, deterioration of probe frequency response limits its capability to resolve temporal information in unsteady flows. In the present work, we introduce a simple algorithm that significantly improves a probe's frequency response. Detailed work in the area was carried out by Whitmore. 1 He developed a mathematical model for a tubing system, derived from the NavierStokes and continuity equations. On the basis of this model, he then developed an algorithm to compensate for pneumatic distortion. The technique presented here is simpler and much less computationally intensive and is thus amenable to real-time implementation. The technique presented here is applicable only to critically damped or overdamped tubing systems, as discussed later. Generally, in pressure-meas uring systems such as multihole probes, the pressure at the pressure-measuring instrument (pressure transducer) can be different from the pressure at the source (i.e., the probe tip) because of the time lag and pressure attenuation in the transmission of pressures in the associated tubing. When the pressure at the pressure source is changing rapidly, the pressure at the transducer lags behind that at the source and its amplitude is attenuated because of 1) the time needed for the pressure change to propagate along the tubing (acoustic lag) and 2) the pressure drop associated with the flow though the tubing (pressure lag).2 The speed of the pressure propagation along the tubing is the speed of sound. The magnitude of the acoustic lag r thus depends on only the speed of sound a and the length of the tubing L, as expressed in r = L/a. Because the speed of sound at standard atmospheric conditions is on the order of 1100 ft/s (340 m/s), errors caused by acoustic lag are of concern only in pressure systems having very long pressure tubing. Errors associated with acoustic lag can be neglected here because the tubing lengths of interest are very short [order of 1 ft (0.3 m)]. Moreover, because of the motion of the air through the pressure tubing between the pressure source and the transducer, the