gebhart/patrepeval huggingface dataset:
Seamless Human–Robot Collaborative Assembly Using Artificial Intelligence and Wearable Devices (2021)

Seamless human–robot collaboration requires the equipping of robots with cognitive capabilities that enable their awareness of the environment, as well as the actions that take place inside the assembly cell. This paper proposes an AI-based system comprised of three modules that can capture the operator and environment status and process status, identify the tasks that are being executed by the operator using vision-based machine learning, and provide customized operator support from the robot side for shared tasks, automatically adapting to the operator’s needs and preferences. Moreover, the proposed system is able to assess the ergonomics in human–robot shared tasks and adapt the robot pose to improve ergonomics using a heuristics-based search algorithm. An industrial case study derived from the elevator manufacturing sector using a high payload collaborative robot is presented to demonstrate that collaboration efficiency can be enhanced through the use of the discussed system.
High quality of an absolute phase reconstruction for coherent digital holography with an enhanced anti-speckle deep neural unwrapping network (2022)

It is always a challenge how to overcome speckle noise interference in the phase reconstruction for coherent digital holography (CDH) and its application, as this issue has not been solved well so far. In this paper, we are proposing an enhanced anti-speckle deep neural unwrapping network (E-ASDNUN) approach to achieve high quality of absolute phase reconstruction for CDH. The method designs a special network-based noise filter and embeds it into a deep neural unwrapping network to enhance anti-noise capacity in the image feature recognition and extraction process. The numerical simulation and experimental test on the phase unwrapping reconstruction and the image quality evaluation under the noise circumstances show that the E-ASDNUN approach is very effective against the speckle noise in realizing the high quality of absolute phase reconstruction. Meanwhile, it also demonstrates much better robustness than the typical U-net neural network and the traditional phase unwrapping algorithms in reconstructing high wrapping densities and high noise levels of phase images. The E-ASDNUN approach is also examined and confirmed by measuring the same phase object using a commercial white light interferometry as a reference. The result is perfectly consistent with that obtained by the E-ASDNUN approach.
Retinal Nerve Fiber Layer Thickness Measurement Comparability between Time Domain Optical Coherence Tomography (OCT) and Spectral Domain OCT (2010)

Scan location matching may bridge the gap in RNFL thickness measurements between TD-OCT circular scan data and 3-D SD-OCT scan data, providing follow-up comparability across the two generations of OCTs.
Energy Management Strategy and Optimal Hybridization Level for a Diesel HEV (2012)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;The design and the supervision of hybrid electric vehicles (HEV) are strongly coupled. The mutual influence between the optimal components sizing and the optimal operating points choice makes the problem complex. This was previously exposed in literature for spark ignition (SI) HEV. In this paper, we address the same issue for diesel HEV. In this case, the energy management strategy must take nitrogen oxides (NO&lt;sub&gt;x&lt;/sub&gt;) emissions into account in addition to fuel consumption. This paper presents an optimal supervision strategy and its impact on the electric components sizing. The energy management strategy is based on the equivalent consumption minimization strategy (ECMS) using Pontryagin's minimum principle. It allows an adjustable trade-off between NO&lt;sub&gt;x&lt;/sub&gt; and fuel consumption to be minimized. It was validated experimentally with a hardware-in-the-loop test bed. By moving the engine operating points into optimal zones, this strategy allows important NO&lt;sub&gt;x&lt;/sub&gt;emissions reduction while keeping interesting fuel consumption. In comparison to a fuel consumption reduction-oriented strategy, the integration of NO&lt;sub&gt;x&lt;/sub&gt; emissions deeply changes the energy management strategy choices and, as a consequence, the optimal electric components size. Indeed, to limit NO&lt;sub&gt;x&lt;/sub&gt; emissions engine high-load-operating points are avoided and a smaller hybridization level is sufficient. Compared to the SI engine, the diesel has a better efficiency at part load. As a consequence, high NO&lt;sub&gt;x&lt;/sub&gt; reduction is possible without important fuel consumption increase. The interactions between electric components sizing and energy management strategy design are studied in this paper. Depending on the chosen value of the adjustable trade-off of the strategy, the optimal hybridization level changes because the engine optimal operation areas move. The driving cycle influence is also studied here to draw global conclusions.&lt;/div&gt;&lt;/div&gt;
Adaptive beam pattern optimization of planar array under main lobe interference condition (2011)

The main lobe interference usually causes the distortion and peak offset of main lobe and the heightening of side lobe level in adaptive beamformers. The interference blocking matrix of uniform planar array is constructed for beamforming to eliminate the main lobe interference, then the weight compensation algorithm can avoid peak offset of the main lobe. Simulation results demonstrate the validity of the proposed algorithm in avoiding the main lobe distortion and peak offset.
Clonal eosinophils are a morphologic hallmark of ETV6/ABL1 positive acute myeloid leukemia. (2002)

Our findings provide new information on the heterogeneity of conventional cytogenetics in ETV6/ABL1 positive leukemias, and indicate the putative target cell in this AML is an immature precursor capable of terminally differentiating towards eosinophils.
ChemInform Abstract: Is the Mills‐Nixon Effect Real? (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.
Different Tissue-Specific Expression of the Amylase Gene Amy-1 in Mice and Rats (1986)

We cloned the rat alpha-amylase gene Amy-1 and compared its structure and expression with its mouse counterpart. The results showed that the general organization of the transcriptionally active rat Amy-1 gene was similar to that of its mouse counterpart; i.e., the rat gene also contained two independent transcriptional promoters. The distance between the two promoters in the rat gene was, however, more than double (6 kilobases) that measured in the mouse gene (2.8 kilobases). In addition, the rat genome also contained an independent, orphonlike version of the weaker Amy-1 promoter, which was transcriptionally silent. In spite of the similar overall organization of the Amy-1 genes in mouse and rat cells, an interesting difference was observed in the expression of the weak promoter in these two closely related rodents. In rats this promoter was significantly active only in liver cells, while in mice it was utilized with similar efficiencies in parotid, liver, and pancrease cells. Moreover, the transcripts produced in rat liver had a very heterogeneous population of 5' ends, located between 180 and 220 nucleotides upstream of the two homologous start sites observed for this promoter in mouse liver, even though the sequences around this region were strongly conserved between the two species.
NUCLEATING EFFECT OF MONTMORILLONITE NANOPARTICLES IN POLYPROPYLENE (2002)

The nucleation effect of two layered montmorillonite silicates of different origin was studied in polypropylene (PP). Composites were prepared as a function of composition in an internal mixer or by homogenization in a twin-screw compounder. Melting and crystallization characteristics were determined by differential scanning calorimetry. The gallery distance of the silicates and the structure of the composites were studied by WAXS. The results prove that montmorillonite may considerably influence the crystallization of PP. The effect depends very much on the origin and treatment of the filler. Both treatment and composite preparation lead to considerable changes in the separation distance of the silicate layers. Even though the composites contain fillers with more than one population of layer distances, the nucleating effect is related to the completely collapsed galleries of 1 nm distance. Besides gallery distance, organophillization also modifies the surface tension of the filler, but this apparently does not influence its nucleating efficiency. The efficient gallery distance is twice as large as the characteristic matching lattice dimension determined by Lotz et al. Although a few observations could not be explained and the tentative explanation given earlier may need further verification, the results prove that nucleation does not occur at the flat surface of the filler but between its galleries, where polymer molecules may adsorb preferentially.
New poly(carbosilane) models. 4. Derivatization of linear poly[(methylchlorosilylene)methylene]: application to the synthesis of functional poly(carbosilanes) possessing a poly[(methylsilylene)methylene] backbone (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTNew poly(carbosilane) models. 4. Derivatization of linear poly[(methylchlorosilylene)methylene]: application to the synthesis of functional poly(carbosilanes) possessing a poly[(methylsilylene)methylene] backboneE. Bacque, J. P. Pillot, M. Birot, J. Dunogues, P. Lapouyade, E. Bouillon, and R. PaillerCite this: Chem. Mater. 1991, 3, 2, 348–355Publication Date (Print):March 1, 1991Publication History Published online1 May 2002Published inissue 1 March 1991https://pubs.acs.org/doi/10.1021/cm00014a028https://doi.org/10.1021/cm00014a028research-articleACS PublicationsRequest reuse permissionsArticle Views119Altmetric-Citations22LEARN 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
P‐Heterocyclic Building Blocks: Application to the Stereoselective Synthesis of P‐Sugars. (2005)

Abstract For Abstract see ChemInform Abstract in Full Text.
Design of a wideband rasorber with a polarisation-sensitive transparent window (2012)

In this study, the authors present a thin wideband electromagnetic planar absorber for X- and Ku-band, which also has a polarisation-sensitive transparent window at frequencies lower than L-band. The design is based on a two-layer capacitive circuit absorber with the back-metal layer replaced with a polarisation-sensitive frequency-selective surface. The structure is studied for normal incident waves with two orthogonal linear polarisations. The authors optimised the structure to gain high transparency at low frequencies for one of the polarisations and at the same time good absorption efficiency for both polarisations at the high-frequency band. For one of the polarisation a −1.9 dB transmission with the transmission loss of less than 10% at 1 GHz as well as a 2.25:1 (75%) bandwidth of −20 dB reflection reduction are achieved. For the other polarisation, the authors obtained more than 3:1 (100%) bandwidth of −19 dB absorption. The transmission loss is significantly reduced compared to the authors&apos; earlier design based on Jaumann absorber. Furthermore, the module of absorption quality is extensively improved. The improvements are based on using periodic arrangements of resistive patches in the structure design. The investigation of the structure for oblique angles of incidence and non-ideal materials shows that the design is robust.
FST-based recognition techniques for multi-lingual and multi-domain spontaneous speech (2001)

In this paper we present techniques for building multi-domain and multi-lingual recognizers within a finite-state transducer (FST) framework. The fle xibility of the FST approach is also demonstrated on the task of incorporating networks modeling different types of non-speech events into an existing word lattice network. The ability to create robust multi-domain and/or multi-lingual recognizers for spontaneous speech will enable a conversational system to switch seamlessly and automatically among different domains and/or languages. Preliminary results using a bi-domain recognizer exhibit only small recognition accuracy degradation in comparison to domain-dependent recognition. Similarly promising results were observed using a bilingual recognizer which performs simultaneous language identification and recognition. When using the FST techniques to add non-speech models to the recognizer, experiments show a 10% reduction in word error rate across all utterances and a 30% reduction on utterances containing non-speech events.
Successive Interference Cancellation Based Channel Estimation for Massive MIMO Systems (2017)

This paper focuses on time shifted pilot (TSP) based time division duplex (TDD) massive multiple-input multiple-output (MIMO) systems. Since the performance of TSP with finite number of base station (BS) antennas is limited by poor channel estimation, the impact of channel estimation error is firstly analyzed, which demonstrates that the signal to interference plus noise ratios (SINR) of both downlink and uplink are inversely proportional to the covariance coefficient of the channel estimation error. Next, a successive interference cancellation based TSP (SIC-TSP) scheme is proposed where the downlink data contamination on the uplink pilot is cancelled out by utilizing the shared downlink data, precoding vectors and the estimated channels among BSs. To obtain accurate estimation for the channels among BSs, SIC-TSP employs a special time slot at the beginning of a frame, where each BS will transmit orthogonal pilots. Simulations are conducted to obtain the optimal uplink pilot power, and it is shown that the proposed SIC-TSP can reduce the normalized square channel estimation error by 11.3 dB, achieving a gain of 27% on both the downlink and uplink spectral efficiency compared with the existing TSP scheme.
A causal link between oxidative stress and inflammation in cardiovascular and renal complications of diabetes (2018)

Chronic renal and vascular oxidative stress in association with an enhanced inflammatory burden are determinant processes in the development and progression of diabetic complications including cardiovascular disease (CVD), atherosclerosis and diabetic kidney disease (DKD). Persistent hyperglycaemia in diabetes mellitus increases the production of reactive oxygen species (ROS) and activates mediators of inflammation as well as suppresses antioxidant defence mechanisms ultimately contributing to oxidative stress which leads to vascular and renal injury in diabetes. Furthermore, there is increasing evidence that ROS, inflammation and fibrosis promote each other and are part of a vicious connection leading to development and progression of CVD and kidney disease in diabetes.
Autophagy as Mechanism for Cell Death in Degenerative Aortic Valve Disease: An Underestimated Phenomenon in Cardiovascular Diseases (2006)

Once degenerative aortic valve disease becomes symptomatic, valve replacement is necessary for prognostic and symptomatic reasons. In elderly patients, symptoms of degenerative aortic valve can often be doubtful. Therefore, it is difficult but important to distinguish patients who need surgery from those who do not. Estimation of the rate of the progression of this disease can be helpful herein because one needs to bear in mind that aortic valve degeneration is an active process, which can influence the rate of progression. Recently, autophagy was discovered as a mechanism of cell death in different cardiovascular diseases such as atherosclerosis, aortic valve degeneration, heart failure and at regions around heart infarctions. Thus understanding autophagy in all its details can be helpful to contribute insights into the cell death machinery of cardiovascular diseases. This could open ways for inhibition of cell death in cardiovascular disease and possibly define targets for future drug design.
Chemoenzymatic Syntheses of Sialyloligosaccharides with Immobilized Sialidase (1991)

The α‐glycosidic transfer of N ‐acetylneuraminic acid (Neu5Ac) to the terminally bound galactose of the acceptor molecule is achieved with immobilized sialidase obtained from Vibrio cholerae . This is the first application of this enzyme in the catalysis of transglycosylation, which produces (2–6)‐ and (2–3)‐linked sialyloligosaccharides. These molecules often cannot be prepared by feasible synthetic methods, yet their physiological importance in glycoproteins and ‐lipids continue to generate interest.
Demand-driven computation of interprocedural data flow (1995)

This paper presents a general framework for deriving demand-driven algorithms for interprocedural data flow analysis of imperative programs. The goal of demand-driven analysis is to reduce the time and/or space overhead of conventional exhaustive analysis by avoiding the collection of information that is not needed. In our framework, a demand for data flow information is modeled as a set of date flow queries. The derived demand-driven algorithms find responses to these queries through a partial reversal of the respective data flow analysis. Depending on whether minimizing time or space is of primary concern, result caching may be incorporated in the derived algorithm. Our framework is applicable to interprocedural data flow problems with a finite domain set. If the problem's flow functions are distributive, the derived demand algorithms provide as precise information as the corresponding exhaustive analysis. For problems with monotone but non-distributive flow functions the provided data flow solutions are only approximate. We demonstrate our approach using the example of interprocedural copy constant propagation.
Application of estimation techniques in vector-controlled induction motor drives (1990)

The indirect method of vector control combines a slip calculation with a rotor position or speed measurement. The slip calculation requires a knowledge of the rotor time constant which may vary considerably over the operational range of the motor due to changes in rotor resistance with temperature. Therefore variations in motor parameters-particularly rotor resistance-should be tracked as they occur. One method of online tracking using parameter estimation techniques is described. The particular estimation techniques discussed employ a Kalman filter (KF) for rotor current (and hence rotor flux vector position) estimation and an extended Kalman filter (EKF) for rotor resistance estimation. The authors show how the estimation system is incorporated in a typical drive consisting of an inverter supplying a cage induction motor. >
Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophobic interactions (1987)

In an earlier paper (Ghose A. K.; Crippen, G. M. J. Comput. Chem. 1986, 7, 565) the need of atomic physicochemical properties for three-dimensional-structure-directed quantitative structure-activity relationships was demonstrated, and it was shown how atomic parameters can be developed to successfully evaluate the molecular water-1-octanol partition coefficient, which is a measure of hydrophobicity. In the present work the atomic values of molar refractivity are reported. Carbon, hydrogen, oxygen, nitrogen, sulfur, and halogens are divided into 110 atom types of which 93 atomic values are evaluated from 504 molecules by using a constrained least-squares technique. These values gave a standard deviation of 1.269 and a correlation coefficient of 0.994. The parameters were used to predict the molar refractivities of 78 compounds. The predicted values have a standard deviation of 1.614 and a correlation coefficient of 0.994. The degree of closeness of the linear relationship between the atomic water-1-octanol partition coefficients and molar refractivities has been checked by the correlation coefficient of 89 atom types used for both the properties. The correlation coefficient has been found to be 0.322. The low value suggests that both parameters can be used to model the intermolecular interaction. The origin of these physicochemical properties and the types of interaction that can be modeled by these properties have been critically analyzed.
Marginal Commercial Reserves Estimation for Offshore Arctic Projects (2015)

Abstract Arctic offshore development can be characterized relative high capital expenditures for wells drilling, field infrastructure, and often small duration of drilling season. These features restrict ability of oil fields exploration in this region and there is a requirement of comprehensive uncertainty analysis before exploration program is started. In this work a solution for optimal well spacing calculation for statistically distributed parameters of reservoir is presented. Exponential model of well productivity decline taking into account well lift maximum rate is used for analytical calculation. Using these solutions, it is possible to calculate reserves, NPV and minimal rental reserves distribution. Compared distribution of reserves and minimal rental reserves it is possible to estimate risk of exploration program and prioritize projects.
Practical Synthesis of Unsymmetrical Ureas from Isopropenyl Carbamates (2005)

A very convenient method for the synthesis of unsymmetrical ureas is described, based on isopropenyl carbamates. The synthetic efficiency of traditional methods for urea formation, such as use of phosgene or alkyl and aryl carbamates, is limited by the formation of symmetrical urea side products or reaction reversibility. Isopropenyl carbamates react with amines cleanly and irreversibly and give unsymmetrical ureas in high yield and purity. This method is ideal for the rapid synthesis of compound libraries.