gebhart/patrepeval huggingface dataset:
Lateral-directional autopilot design of Unmanned Aerial Vehicles using quaternion feedback sliding mode approach (2015)

Small Unmanned Aerial Vehicle(UAV) is well suited for missions that are dangerous to perform with human pilots. Control effort in the form of Automatic Flight Control System(AFCS) for achieving the desired flight profile against any unexpected disturbance or parameter variations is needed in such UAV's. Most of the UAV dynamics uses Euler rate method for axis transformation. Alternate computational methods have been evolved to compute and derive parameters from the available sensors. This paper attempts to employ quaternion based closed loop attitude control. The major problem encountered with the axis transformation with Euler rates is the singularity at 900 theta which can be directly removed when quaternion based control is employed. One of the major advantages in employing quaternion based closed loop control is that, it is independent of the error due to sensors. Hence this paper attempts to employ quaternion based control in a low speed subsonic UAV platform. The main aim of this paper is to introduce quaternion based feedback approach into the nonlinear UAV simulation model with Proportional Integral(PI) controller, and Sliding Mode Controller(SMC). Unexpected disturbance and parameter variation can be tolerated by using robust fuzzy SMC. Simulation results shows the effectiveness of the proposed method.
Following Devil's Footprints: Cross-Platform Analysis of Potentially Harmful Libraries on Android and iOS (2016)

It is reported recently that legitimate libraries are repackaged for propagating malware. An in-depth analysis of such potentially-harmful libraries (PhaLibs), however, has never been done before, due to the challenges in identifying those libraries whose code can be unavailable online (e.g., removed from the public repositories, spreading underground, etc.). Particularly, for an iOS app, the library it integrates cannot be trivially recovered from its binary code and cannot be analyzed by any publicly available anti-virus (AV) systems. In this paper, we report the first systematic study on PhaLibs across Android and iOS, based upon a key observation that many iOS libraries have Android versions that can potentially be used to understand their behaviors and the relations between the libraries on both sides. To this end, we utilize a methodology that first clusters similar packages from a large number of popular Android apps to identify libraries, and strategically analyze them using AV systems to find PhaLibs. Those libraries are then used to search for their iOS counterparts within Apple apps based upon the invariant features shared cross platforms. On each discovered iOS PhaLib, our approach further identifies its suspicious behaviors that also appear on its Android version and uses the AV system on the Android side to confirm that it is indeed potentially harmful. Running our methodology on 1.3 million Android apps and 140,000 popular iOS apps downloaded from 8 markets, we discovered 117 PhaLibs with 1008 variations on Android and 23 PhaLibs with 706 variations on iOS. Altogether, the Android PhaLibs is found to infect 6.84% of Google Play apps and the iOS libraries are embedded within thousands of iOS apps, 2.94% among those from the official Apple App Store. Looking into the behaviors of the PhaLibs, not only do we discover the recently reported suspicious iOS libraries such as mobiSage, but also their Android counterparts and 6 other back-door libraries never known before. Those libraries are found to contain risky behaviors such as reading from their host apps' keychain, stealthily recording audio and video and even attempting to make phone calls. Our research shows that most Android-side harmful behaviors have been preserved on their corresponding iOS libraries, and further identifies new evidence about libraries repackaging for harmful code propagations on both sides.
<i>neuroD2</i> and <i>neuroD3</i> : Distinct Expression Patterns and Transcriptional Activation Potentials within the <i>neuroD</i> Gene Family (1996)

We have identified two new genes, neuroD2 and neuroD3, on the basis of their similarity to the neurogenic basic-helix-loop-helix (bHLH) gene neuroD. The predicted amino acid sequence of neuroD2 shows a high degree of homology to neuroD and MATH-2/NEX-1 in the bHLH region, whereas neuroD3 is a more distantly related family member. neuroD3 is expressed transiently during embryonic development, with the highest levels of expression between days 10 and 12. neuroD2 is initially expressed at embryonic day 11, with persistent expression in the adult nervous system. In situ and Northern (RNA) analyses demonstrate that different regions of the adult nervous system have different relative amounts of neuroD and neuroD2 RNA. Similar to neuroD, expression of neuroD2 in developing Xenopus laevis embryos results in ectopic neurogenesis, indicating that neuroD2 mediates neuronal differentiation. Transfection of vectors expressing neuroD and neuroD2 into P19 cells shows that both can activate expression through simple E-box-driven reporter constructs and can activate a reporter driven by the neuroD2 promoter region, but the GAP-43 promoter is preferentially activated by neuroD2. The noncongruent expression pattern and target gene specificity of these highly related neurogenic bHLH proteins make them candidates for conferring specific aspects of the neuronal phenotype.
Draft Genome Sequence of Pseudomonas sp. Strain M47T1, Carried by Bursaphelenchus xylophilus Isolated from Pinus pinaster (2012)

The draft genome sequence of Pseudomonas sp. strain M47T1, carried by the Bursaphelenchus xylophilus pinewood nematode, the causative agent of pine wilt disease, is presented. In Pseudomonas sp. strain M47T1, genes that make this a plant growth-promoting bacterium, as well as genes potentially involved in nematotoxicity, were identified.
Application of Fuzzy Predictive Control in Superheated Steam Temperature Control (2006)

In order to achieve effectiveness and high control performance of nonlinear, time-variable processes, a fuzzy predictive scheme, combing fuzzy modeling and simplified increment model algorithmic control (SIMAC) is proposed. In this algorithmic, impulse response for different operating conditions are extracted online from the nonlinear fuzzy model. The method is better than PID in robustness and dynamic performance. Simulation for the superheated system is carried out. The results show the proposed method has perfect load adaptability
Optically Active α,β-Diglycerides (1941)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOptically Active α,β-DiglyceridesJohn C. Sowden and Hermann O. L. FischerCite this: J. Am. Chem. Soc. 1941, 63, 12, 3244–3248Publication Date (Print):December 1, 1941Publication History Published online1 May 2002Published inissue 1 December 1941https://doi.org/10.1021/ja01857a002RIGHTS & PERMISSIONSArticle Views194Altmetric-Citations108LEARN 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 InReddit PDF (540 KB) Get e-Alerts Get e-Alerts
Photolysis-Driven, Room Temperature Filling of Single-Wall Carbon Nanotubes (2019)

An alternative process for opening and filling single-wall carbon nanotubes (SWCNTs) based on UV photolysis is proposed. The filling of SWCNTs with MoCl<sub>5</sub> and iodine were successfully achieved at room temperature after subjecting SWCNTs with MoCl<sub>5</sub> or I₂ dissolved in chloroform to UV light for 6 hours. Transmission electron microscopy (TEM) and Electron Energy Loss Spectroscopy (EELS) were used to characterise both the encapsulated materials and the host tube. A mechanism for the related opening and filling events is proposed, along with a possible yet unprecedented structure for the encapsulated MoCl<sub>5</sub> material whose the peculiar polymeric configuration could be enforced by the steric constrains resulting from the limited, 1D cavity available in SWCNT core.
An optimization framework for web farm configuration (2002)

A common problem that sales consultants face in the field is the selection of an appropriate hardware and software configuration for web farms. Over-provisioning means that the tender will be expensive while under-provisioning will lead to a configuration that does not meet the customer criteria. Indy is a performance modeling environment which allows developers to create custom modeling applications. We have constructed an Indy-based application for defining web farm workloads and topologies. The paper presents an optimization framework that allows the consultant to easily find configurations that meet customers' criteria. The system searches the solution space creating possible configurations, using the web farm models to predict their performance. The optimization tool is then employed to select an optimal configuration. Rather than using a fixed algorithm, the framework provides an infrastructure for implementing multiple optimization algorithms. In this way, the appropriate algorithm can be selected to match the requirements of different types of problem. The framework incorporates a number of novel techniques, including caching results between problem runs, an XML based configuration language, and an effective method of comparing configurations. We have applied the system to a typical web farm configuration problem and results have been obtained for three standard optimization algorithms.
Pyruvate decarboxylase: a new enzyme for the production of acyloins by biotransformation (1993)

Highly purified pyruvate decarboxylase from yeast has been shown to catalyse the condensation between pyruvate and a wide range of substituted benzaldehydes to give hydroxyketones (acyloins) of the same (R) enantiomeric series and of high optical purity, as determined by chiral GC using novel cyclodextrin-based stationary phases.
Potential of bulb-associated bacteria for biocontrol of hyacinth soft rot caused by<i>Dickeya zeae</i> (2008)

Selected hyacinth-associated bacterial isolates have potential for control of soft rot disease caused by D. zeae in hyacinth bulb production.
<scp>L1CAM</scp> in human cancer (2015)

L1 cell adhesion molecule (L1CAM) is one of the first neural adhesion molecules described with important functions in the development of the nervous system. Subsequent work discovered that L1CAM is expressed in many human cancers and is often associated with bad prognosis. This is most likely due to the motility and invasion promoting function of L1CAM. Here, we describe the path L1CAM has taken from a neural adhesion molecule to a recognized tumor antigen. We summarize the literature on L1CAM expression in cancers and pre-cancerous lesions. We focus on the genetic elements required for its re-expression and highlight preclinical studies for targeted therapy. The data suggest that L1CAM is a valuable diagnostic/prognostic marker and an attractive target for the therapy of several human cancers.
Prospects of multilevel VSC technologies for power transmission (2008)

Deregulation and privatization are posing new challenges to high voltage transmission and distributions systems. System components are loaded up to their thermal limits, and power trading with fast varying load patterns is leading to an increasing congestion. In addition to this, the dramatic global climate developments call for changes in the way electricity is supplied. Innovative solutions with HVDC (High Voltage Direct Current) and FACTS (Flexible AC Transmission Systems) have the potential to cope with the new challenges. New power electronic technologies with self-commutated converters provide advanced technical features, such as independent control of active and reactive power, the capability to supply weak or passive networks and less space requirements. In many applications, the VSC (Voltage-Sourced Converter) has become a standard for self-commutated converters and will be increasingly more used in transmission and distribution systems in the future. This kind of converter uses power semiconductors with turn-off capability.
Concrete Dropout (2017)

Dropout is used as a practical tool to obtain uncertainty estimates in large vision models and reinforcement learning (RL) tasks. But to obtain well-calibrated uncertainty estimates, a grid-search over the dropout probabilities is necessary—a prohibitive operation with large models, and an impossible one with RL. We propose a new dropout variant which gives improved performance and better calibrated uncertainties. Relying on recent developments in Bayesian deep learning, we use a continuous relaxation of dropout’s discrete masks. Together with a principled optimisation objective, this allows for automatic tuning of the dropout probability in large models, and as a result faster experimentation cycles. In RL this allows the agent to adapt its uncertainty dynamically as more data is observed. We analyse the proposed variant extensively on a range of tasks, and give insights into common practice in the field where larger dropout probabilities are often used in deeper model layers.
Extreme Value Theory as a Risk Management Tool (1999)

Abstract The financial industry, including banking and insurance, is undergoing major changes. The (re)insurance industry is increasingly exposed to catastrophic losses for which the requested cover is only just available. An increasing complexity of financial instruments calls for sophisticated risk management tools. The securitization of risk and alternative risk transfer highlight the convergence of finance and insurance at the product level. Extreme value theory plays an important methodological role within risk management for insurance, reinsurance, and finance.
Performance metrics in supply chain management (2003)

This survey paper starts with a critical analysis of various performance metrics for supply chain management (SCM), used by a specific manufacturing company. Then it summarizes how economic theory treats multiple performance metrics. Actually, the paper proposes to deal with multiple metrics in SCM via the balanced scorecard — which measures customers, internal processes, innovations, and finance. To forecast how the values of these metrics will change — once a supply chain is redesigned — simulation may be used. This paper distinguishes four simulation types for SCM: (i) spreadsheet simulation, (ii) system dynamics, (iii) discrete-event simulation, and (iv) business games. These simulation types may explain the bullwhip effect, predict fill rate values, and educate and train users. Validation of simulation models requires sensitivity analysis; a statistical methodology is proposed. The paper concludes with suggestions for a possible research agenda in SCM. A list with 50 references for further study is included.
The response of gut-associated T lymphocytes to intestinal viral immunization. (1984)

The cell-mediated immune response by the gut-associated lymphoid tissues to antigens within the intestinal tract is poorly understood. Our objective was to investigate the antigen-specific T cell proliferative response and cytotoxic T lymphocyte (CTL) response of cells from the GALT after enteric immunization with vaccinia virus. Lymphocytes able to proliferate in the presence of vaccinia virus in vitro were found in large numbers in mesenteric lymph nodes (MLN) 6 days after the injection of vaccinia virus into the lumen of the small bowel. The MLN at this time also contained vaccinia-specific CTL, but unlike the proliferating cells, which were found for several weeks after immunization, the CTL were demonstrable in the MLN for only a few days. Peyer's patches were found to contain neither antigen-stimulated proliferating cells nor CTL. The viral-specific proliferating lymphocytes from the MLN 10 days after immunization were sIg-, monoclonal antibody W3/25+, MRC OX-8- large lymphoblasts. The vaccinia-specific CTL were also large lymphoblasts, but they belonged to the W3/25-, OX-8+ subset. Thus, a strong T helper and cytotoxic T lymphoblast response is generated within the MLN after viral challenge of the gut.
CT-based geometry analysis and finite element models of the human and ovine bronchial tree (2004)

The interpretation of experimental results from functional medical imaging is complicated by intersubject and interspecies differences in airway geometry. The application of computational models in understanding the significance of these differences requires methods for generation of subject-specific geometric models of the bronchial airway tree. In the current study, curvilinear airway centerline and diameter models have been fitted to human and ovine bronchial trees using detailed data segmented from multidetector row X-ray-computed tomography scans. The trees have been extended to model the entire conducting airway system by using a volume-filling algorithm to generate airway centerline locations within detailed volume descriptions of the lungs or lobes. Analysis of the geometry of the scan-based and model-based airways has verified their consistency with measures from previous anatomic studies and has provided new anatomic data for the ovine bronchial tree. With the use of an identical parameter set, the volume-filling algorithm has produced airway trees with branching asymmetry appropriate for the human and ovine lung, demonstrating the dependence of the method on the shape of the lung or lobe volume. The modeling approach that has been developed can be applied to any level of detail of the airway tree and into any volume shape for the lung; hence it can be used directly for different individuals or animals and for any number of scan-based airways. The resulting models are subject-specific computational meshes with anatomically consistent geometry, suitable for application in simulation studies.
Plasma diagnostic study of silicon nitride film growth in a remote Ar–H2–N2–SiH4 plasma: Role of N and SiHn radicals (2003)

A remote expanding thermal plasma operated on an Ar–H2–N2–SiH4 mixture has been studied by several plasma diagnostics to obtain insight into the plasma processes and the hydrogenated amorphous silicon nitride (a-SiNx:H) growth mechanism from the N2–SiH4 reactant mixture. From Langmuir probe measurements, ion mass spectrometry, and threshold ionization mass spectrometry, it is revealed that the Ar–H2–N2 operated plasma source leads mainly to N and H radicals in the downstream region. The H radicals react with the SiH4 admixed downstream creating a high SiH3 density as revealed by cavity ringdown spectroscopy. By cavity ringdown measurements, it is also shown that Si and SiH have a much lower density in the downstream plasma and that these radicals are of minor importance for the a-SiNx:H growth process. The ground-state N radicals from the plasma source do not react with the SiH4 injected downstream leading to a high N density under the a-SiNx:H deposition conditions as revealed by threshold ionization mass spectrometry. From these results, it is concluded that N and SiH3 radicals dominate the a-SiNx:H growth process and the earlier proposed growth mechanism of a-SiNx:H from the N2–SiH4 mixture [D. L. Smith et al., J. Vac. Sci. Technol. B 8, 551 (1990)] can be refined: During deposition, an a-Si:H-like surface layer is created by the SiH3 radicals and at the same time this a-Si:H-like surface layer is nitridated by the N radicals leading to a-SiNx:H formation. This growth mechanism is further supported by the correlation between the SiH3 and N plasma density and the incorporation flux of Si and N atoms into the a-SiNx:H films as deposited under various conditions.
Paper Sensor Coated with a Poly(carboxybetaine)-Multiple DOPA Conjugate via Dip-Coating for Biosensing in Complex Media (2017)

Cellulose paper is an ideal diagnostic platform for low-cost, easily disposable and lightweight implementation, but requires surface modification to achieve detection with high sensitivity and specificity in complex media. In this work, a polymer-catechol conjugate containing a superhydrophilic nonfouling poly(carboxylbetaine) (pCB) and four surface-binding l-3,4-dihydroxyphenylalanine (DOPA) groups, pCB-(DOPA)<sub>4</sub>, were applied onto a paper-based sensor surface via a simple "graft-to" immersion process to render the surface with both nonfouling and protein functionalizable properties. This dip-coating technique is effective, convenient and robust as compared to the "graft-from" techniques reported previously with similar nonfouling properties. The coated paper sensor showed both increased analyte diffusion rate and improved sensitivity of glucose detection in human blood serum. The capability of pCB-(DOPA)<sub>4</sub>-modified paper sensor for specific antigen-antibody detection was demonstrated via the covalent immobilization of bovine serum albumin antibody (anti-BSA) and fibrinogen antibody (anti-Fg) onto the pCB-coated surface via simple 1-ethyl-3-(3-(dimethylamino)propyl)-carbodiimide and N-hydroxysuccinimide (EDC/NHS) chemistry.
Direct observation of fast proton transfer: femtosecond photophysics of 3-hydroxyflavone (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDirect observation of fast proton transfer: femtosecond photophysics of 3-hydroxyflavoneBenjamin J. Schwartz, Linda A. Peteanu, and Charles B. HarrisCite this: J. Phys. Chem. 1992, 96, 9, 3591–3598Publication Date (Print):April 1, 1992Publication History Published online1 May 2002Published inissue 1 April 1992https://pubs.acs.org/doi/10.1021/j100188a009https://doi.org/10.1021/j100188a009research-articleACS PublicationsRequest reuse permissionsArticle Views727Altmetric-Citations232LEARN 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 options Get e-Alerts