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Institution

Aalto University

EducationEspoo, Finland
About: Aalto University is a education organization based out in Espoo, Finland. It is known for research contribution in the topics: Population & Carbon nanotube. The organization has 9969 authors who have published 32648 publications receiving 829626 citations. The organization is also known as: TKK & Aalto-korkeakoulu.


Papers
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Journal ArticleDOI
Peter A. R. Ade1, Nabila Aghanim2, C. Armitage-Caplan3, Monique Arnaud4  +301 moreInstitutions (67)
TL;DR: In this article, the authors constructed the first all-sky map of the thermal Sunyaev-Zeldovich (tSZ) e ect by applying specifically tailored component separation algorithms to the 100 to 857 GHz frequency channel maps from the Planck survey.
Abstract: We have constructed the first all-sky map of the thermal Sunyaev-Zeldovich (tSZ) e ect by applying specifically tailored component separation algorithms to the 100 to 857 GHz frequency channel maps from the Planck survey. This map shows an obvious galaxy cluster tSZ signal that is well matched with blindly detected clusters in the Planck SZ catalogue. To characterize the signal in the tSZ map we have computed its angular power spectrum. At large angular scales (‘ 500) the clustered cosmic infrared background and residual point sources are the major contaminants. These foregrounds are carefully modelled and subtracted. We thus measure the tSZ power spectrum over angular scales 0:17 < < 3:0 that were previously unexplored. The measured tSZ power spectrum is consistent with that expected from the Planck catalogue of SZ sources, with clear evidence of additional signal from unresolved clusters and, potentially, di use warm baryons. Marginalized band-powers of the Planck tSZ power spectrum and the best-fit model are given. The non-Gaussianity of the Compton parameter map is further characterized by computing its 1D probability distribution function and its bispectrum. The measured tSZ power spectrum and high order statistics are used to place constraints on 8.

160 citations

Journal ArticleDOI
Peter A. R. Ade1, Nabila Aghanim2, C. Armitage-Caplan3, M. Arnaud4  +281 moreInstitutions (64)
TL;DR: In this paper, the authors describe the methods used to produce photometrically calibrated maps from the Planck High Frequency Instrument (HFI) cleaned, time-ordered information.
Abstract: This paper describes the methods used to produce photometrically calibrated maps from the Planck High Frequency Instrument (HFI) cleaned, time-ordered information. HFI observes the sky over a broad range of frequencies, from 100 to 857 GHz. To obtain the best calibration accuracy over such a large range, two different photometric calibration schemes have to be used. The 545 and 857 GHz data are calibrated by comparing flux-density measurements of Uranus and Neptune with models of their atmospheric emission. The lower frequencies (below 353 GHz) are calibrated using the solar dipole. A component of this anisotropy is time-variable, owing to the orbital motion of the satellite in the solar system. Photometric calibration is thus tightly linked to mapmaking, which also addresses low-frequency noise removal. By comparing observations taken more than one year apart in the same configuration, we have identified apparent gain variations with time. These variations are induced by non-linearities in the read-out electronics chain. We have developed an effective correction to limit their effect on calibration. We present several methods to estimate the precision of the photometric calibration. We distinguish relative uncertainties (between detectors, or between frequencies) and absolute uncertainties. Absolute uncertainties lie in the range from 0.54% to 10% from 100 to 857 GHz. We describe the pipeline used to produce the maps from the HFI timelines, based on the photometric calibration parameters, and the scheme used to set the zero level of the maps a posteriori. We also discuss the cross-calibration between HFI and the SPIRE instrument on board Herschel. Finally we summarize the basic characteristics of the set of HFI maps included in the 2013 Planck data release.

160 citations

Journal ArticleDOI
TL;DR: The results reveal that BSA‐coating significantly improves the origami stability against endonucleases (DNase I) and enhances the transfection into human embryonic kidney (HEK293) cells and attenuates the activation of immune response in mouse primary splenocytes.
Abstract: Fully addressable DNA nanostructures, especially DNA origami, possess huge potential to serve as inherently biocompatible and versatile molecular platforms. However, their use as delivery vehicles in therapeutics is compromised by their low stability and poor transfection rates. This study shows that DNA origami can be coated by precisely defined one-to-one protein-dendron conjugates to tackle the aforementioned issues. The dendron part of the conjugate serves as a cationic binding domain that attaches to the negatively charged DNA origami surface via electrostatic interactions. The protein is attached to dendron through cysteine-maleimide bond, making the modular approach highly versatile. This work demonstrates the coating using two different proteins: bovine serum albumin (BSA) and class II hydrophobin (HFBI). The results reveal that BSA-coating significantly improves the origami stability against endonucleases (DNase I) and enhances the transfection into human embryonic kidney (HEK293) cells. Importantly, it is observed that BSA-coating attenuates the activation of immune response in mouse primary splenocytes. Serum albumin is the most abundant protein in the blood with a long circulation half-life and has already found clinically approved applications in drug delivery. It is therefore envisioned that the proposed system can open up further opportunities to tune the properties of DNA nanostructures in biological environment, and enable their use in various delivery applications.

160 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identify the factors that influence the relationship between R&D services and suppliers' profit performance in customer relationships, using data from 91 supplier-customer relationships.

160 citations

Journal ArticleDOI
TL;DR: A generic framework and specific techniques to detect when a process changes and to localize the parts of the process that have changed are presented and used to discover differences between successive populations.
Abstract: Although most business processes change over time, contemporary process mining techniques tend to analyze these processes as if they are in a steady state. Processes may change suddenly or gradually. The drift may be periodic (e.g., because of seasonal influences) or one-of-a-kind (e.g., the effects of new legislation). For the process management, it is crucial to discover and understand such concept drifts in processes. This paper presents a generic framework and specific techniques to detect when a process changes and to localize the parts of the process that have changed. Different features are proposed to characterize relationships among activities. These features are used to discover differences between successive populations. The approach has been implemented as a plug-in of the ProM process mining framework and has been evaluated using both simulated event data exhibiting controlled concept drifts and real-life event data from a Dutch municipality.

159 citations


Authors

Showing all 10135 results

NameH-indexPapersCitations
John B. Goodenough1511064113741
Ashok Kumar1515654164086
Anne Lähteenmäki11648581977
Kalyanmoy Deb112713122802
Riitta Hari11149143873
Robin I. M. Dunbar11158647498
Andreas Richter11076948262
Mika Sillanpää96101944260
Muhammad Farooq92134137533
Ivo Babuška9037641465
Merja Penttilä8730322351
Andries Meijerink8742629335
T. Poutanen8612033158
Sajal K. Das85112429785
Kalle Lyytinen8442627708
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023101
2022342
20212,842
20203,030
20192,749
20182,719