cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Eutychide ochoides Zhang & Cong & Grishin 2023, new species
Creators: name: Zhang, Jing
name: Cong, Qian
name: Grishin, Nick V.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Hesperiidae
Eutychide
Eutychide ochoides

description: Eutychide ochoides Grishin, new species
https://zoobank.org/ 972EB90E-A40C-45F1-8ED0-F796092C18B9
(Fig. 7 part, 169–170, 399–401)
 Definition and diagnosis. Phylogenetic trees reveal that specimens from Ecuador and Peru identified as Eutychide ochus Godman, 1900 (type locality in Mexico: Veracruz) show prominent genetic differentiation from it (Fig. 7): e.g., their COI barcodes differ by 7.3% (48 bp), and therefore represent a new species. This new species keys to “ Eutychide subcordata ochus ” (J.50.3(a)) in Evans (1955) but differs from it by more contrasty hindwing with submarginal area paler than discal area and typically larger subapical forewing spots of about equal size. Due to the cryptic nature of this species, most reliable identification is achieved by DNA and a combination of the following base pairs is diagnostic in the nuclear genome: aly5.7.1:T1986A, aly5.7.1:A2066G, aly1249.21.19:T39C, aly 1036.5.4:C96T, aly851.2.8:C43T, and COI barcode: T92C, 157C, T287C, 346A, T436C, T568A.
 Barcode sequence of the holotype. Sample NVG-19023E06, GenBank OR837699, 658 base pairs: AACTTTATATTTTATTTTTGGTATTTGAGCAGGAATATTAGGAACTTCTTTAAGATTATTAATTCGAACAGAATTAGGAAATCCTGGTTCACTAATT GGAGATGATCAAATTTATAATACTATTGTAACAGCTCATGCTTTTATTATAATTTTTTTCATAGTTATACCTATTATAATTGGAGGATTTGGAAATT GATTAGTACCTTTAATATTAGGAGCACCTGATATAGCTTTCCCACGAATAAACAATATAAGATTTTGAATATTACCCCCTTCATTAATATTACTAAT TTCTAGAAGAATTGTTGAAAATGGTGCAGGTACAGGATGAACAGTTTACCCCCCACTTTCATCTAATATTGCTCACCAAGGTTCTTCAGTTGATCTA GCAATTTTCTCCCTACACTTAGCAGGAATTTCTTCTATTTTAGGAGCCATTAACTTTATTACTACAATTATTAATATACGAATTAGAAATTTATCAT TTGATCAAATACCTTTATTTGTATGATCTGTAGGTATTACAGCCCTATTATTATTATTATCATTACCTGTATTAGCAGGTGCAATTACAATACTTTT AACCGACCGAAATTTAAATACTTCTTTTTTTGATCCAGCTGGAGGAGGAGATCCTATTTTATACCAACATTTATTT
 Type material. Holotype: ♂ currently deposited in the National Museum of Natural History, Smithsonian Institution, Washington, DC, USA (USNM), illustrated in Fig. 169–170, bears the following four rectangular labels, three white: [PERU: Cuzco:Cosñipata Valley | San Pedro vicinity 1,373m. | 13°03′30″S, 71°32′64″W | 11 August 2009 Brian Harris], [DNA sample ID: | NVG-19023E06 | c/o Nick V. Grishin], [USNMENT | {QR Code} | 01532848], and one red [HOLOTYPE ♂ | Eutychide | ochoides Grishin]. Paratype: 1♂ NVG-18091D11 Ecuador: Morona-Santiago, Mendez, 800 m, GPS −2.42, − 78.20, 9-Nov-2012, J.-C. Petit leg., [EBrockmann].
 Type locality. Peru: Cuzco, Cosñipata Valley, near San Pedro, elevation 1373 m, GPS −13.0583, −71.5483.
 Etymology. The name reflects a similarity to E. ochus. It is longer to signify a more southern distribution. The name is an adjective.
 Distribution. Ecuador and Peru.
description: Published as part of Zhang, Jing, Cong, Qian & Grishin, Nick V., 2023, Supplementary Materials and Appendix, pp. 1-115 in Insecta Mundi 2023 (26) on page 70, DOI: 10.5281/zenodo.10396362
'Begegnungen der Wirklichkeit – Wirklichkeit der Begegnungen' / 'Rencontres de la réalité – Réalité des rencontres'
Creators: name: Redaktion, Die
Publisher: name: Deutsches Forum für Kunstgeschichte (DFK Paris): Jahresbericht / Rapport annuel
Year: 2020

description: -
description: Deutsches Forum für Kunstgeschichte (DFK Paris): Jahresbericht / Rapport annuel, Jahresbericht / Rapport annuel 2018/2019
OBSCENE VOCABULARY IN THE RUSSIAN LANGUAGE AND LANGUAGES OF THE ROMANIAN-GERMAN GROUP: PROBLEMS OF ECOLOGY
Creators: name: Shoshin, Serguei
Publisher: name: figshare
Year: 2021
Subjects: subject: 200401 Applied Linguistics and Educational Linguistics
subject: FOS: Languages and literature
subject: 200304 Central and Eastern European Languages (incl. Russian)
subject: 200509 Central and Eastern European Literature (incl. Russian)
subject: 200101 Communication Studies
subject: FOS: Media and communications
subject: 200102 Communication Technology and Digital Media Studies
subject: 200199 Communication and Media Studies not elsewhere classified
subject: 200322 Comparative Language Studies
subject: 200524 Comparative Literature Studies
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 200204 Cultural Theory
subject: 200205 Culture, Gender, Sexuality
subject: 200403 Discourse and Pragmatics
subject: 200302 English Language
subject: 200303 English as a Second Language
subject: 200307 German Language
subject: 200206 Globalisation and Culture
subject: 200399 Language Studies not elsewhere classified
subject: 200405 Language in Culture and Society (Sociolinguistics)
subject: 200406 Language in Time and Space (incl. Historical Linguistics, Dialectology)
subject: 209999 Language, Communication and Culture not elsewhere classified
subject: 200408 Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics)
subject: 200499 Linguistics not elsewhere classified
subject: 200599 Literary Studies not elsewhere classified
subject: 200525 Literary Theory
subject: 200105 Organisational, Interpersonal and Intercultural Communication
subject: 200212 Screen and Media Culture
subject: 200526 Stylistics and Textual Analysis

description: When analyzing the development history of both the Russian language and the languages of the Romano-Germanic group, one should not discount their segment so difficult to study as obscene terminology. The problems of the Russian segment of obscene vocabulary are quite extensively presented in scientific publications in Russian. A more complicated situation with publications about obscene vocabulary of languages of the Romano-Germanic group.From the point of view of the language balance, one can propose to include the problems of using taboo vocabulary in relations regulated by the science of linguoecology.
Effect of erythropoiesis-stimulating agents on malignant neoplasms: FAERS database and mendelian randomization
Creators: name: Liang, Cuilv
name: Wang, Qiaohong
name: Wang, Peihong
name: Zhang, Yin
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: The relationship between erythropoiesis-stimulating agents (ESAs) and malignant neoplasms (MNs) has been controversial in previous studies. Our study aimed to explore the correlation between ESAs and MNs. Drug-target Mendelian randomization (MR) analyses were conducted to evaluate the causal associations of ESAs for 12 classifications of MNs. Meanwhile, a pharmacovigilance study was performed by extracting adverse events (AEs) in the FDA Adverse Event Reporting System (FAERS) database to validate and complement our findings. MR analysis revealed negative association of ESAs with MN of ovary (p = 0.047), liposarcoma(p = 0.001), small cell lung cancer(p = 0.017), colorectal cancer(p = 0.004), brain meningioma(p = 0.004), and revealed positive association of ESAs with MN of bladder (p = 0.001), eye and adnexa (p = 0.012), heart, mediastinum and pleura (p = 0.032), lip (p = 0.041), larynx (p = 0.015)，non small cell lung cancer (p = 0.009), malignant melanoma (p = 0.001). Positive signals were found in MN of hematological system, digestive organs, central nervous system, eye and adnexa, head and neck cancer, lung cancer, mucinous and mucinous cystic tumor in FAERS database (all reporting odds ratio (ROR) and proportional reporting ratio (PRR) >1). ESAs were causally correlated with many types of MNs. More attention needs to be paid to the use of ESAs in these tumors.
[Segl tilhørende Statius Jacob Matheson]
Creators: name: Matheson, Statius Jacob
Publisher: name: Unknown
Year: 0

description: Blasonering av skjoldet: Skjoldet kløvd i blått og sølv. I 1. felt en oppvendt sabel, i 2. felt tre seksoddete stjerner (1.1.1).
description: Blasonering av hjelmtegnet: På hjelmen tre blomster, den midterste med kortere stilk. På hver side om hjelmtegnet bokstavene S M.
description: Kaptein Statius Jacob Mathesons segl, datert 1822. Våpnet har to griffer som skjoldholdere. En griff består av forparten av en ørn og bak parten av en løve.
description: Film: F II 2817
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
Automatic classification of aerial imagery for urban hydrological applications
Creators: name: Paul, A.
name: Yang, C.
name: Breitkopf, U.
name: Liu, Y.
name: Wang, Z.
name: Rottensteiner, F.
name: Wallner, M.
name: Verworn, A.
name: Heipke, C.
Publisher: name: Göttingen : Copernicus GmbH
Year: 2018
Subjects: subject: Classification
subject: Coefficient of imperviousness
subject: Conditional random fields
subject: Hydrologic application
subject: Random forests
subject: Aerial photography
subject: Antennas
subject: Catchments
subject: Classification (of information)
subject: Decision trees
subject: Mean square error
subject: Random processes
subject: Remote sensing
subject: Runoff
subject: Automatic classification
subject: Classification technique
subject: Conditional random field
subject: Hydrologic applications
subject: Root mean square errors
subject: Supervised classification
subject: Image classification
subject: Konferenzschrift
subject: Dewey Decimal Classification::600 | Technik
subject: Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau::621 | Angewandte Physik::621,3 | Elektrotechnik, Elektronik
subject: Dewey Decimal Classification::500 | Naturwissenschaften::551 | Geologie, Hydrologie, Meteorologie

description: In this paper we investigate the potential of automatic supervised classification for urban hydrological applications. In particular, we contribute to runoff simulations using hydrodynamic urban drainage models. In order to assess whether the capacity of the sewers is sufficient to avoid surcharge within certain return periods, precipitation is transformed into runoff. The transformation of precipitation into runoff requires knowledge about the proportion of drainage-effective areas and their spatial distribution in the catchment area. Common simulation methods use the coefficient of imperviousness as an important parameter to estimate the overland flow, which subsequently contributes to the pipe flow. The coefficient of imperviousness is the percentage of area covered by impervious surfaces such as roofs or road surfaces. It is still common practice to assign the coefficient of imperviousness for each particular land parcel manually by visual interpretation of aerial images. Based on classification results of these imagery we contribute to an objective automatic determination of the coefficient of imperviousness. In this context we compare two classification techniques: Random Forests (RF) and Conditional Random Fields (CRF). Experimental results performed on an urban test area show good results and confirm that the automated derivation of the coefficient of imperviousness, apart from being more objective and, thus, reproducible, delivers more accurate results than the interactive estimation. We achieve an overall accuracy of about 85% for both classifiers. The root mean square error of the differences of the coefficient of imperviousness compared to the reference is 4.4% for the CRF-based classification, and 3.8% for the RF-based classification.
A global approach for image orientation using Lie algebraic rotation averaging and convex L∞ minimisation
Creators: name: Reich, Martin
name: Heipke, Christian
Publisher: name: Göttingen : Copernicus GmbH
Year: 2014
Subjects: subject: Bundle adjustment
subject: Rotation averaging
subject: Algebra
subject: Convex optimization
subject: Global optimization
subject: Group theory
subject: Parameter estimation
subject: Rotation
subject: Statistics
subject: FOS: Mathematics
subject: Bundle adjustments
subject: Convex optimisation
subject: Image orientation
subject: Relative orientation
subject: Riemannian manifold
subject: Robust least squares
subject: Special orthogonal group
subject: Translation parameters
subject: Lie groups
subject: Konferenzschrift
subject: Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::000 | Informatik, Informationswissenschaft, allgemeine Werke
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften
subject: Dewey Decimal Classification::500 | Naturwissenschaften::510 | Mathematik

description: In this paper we present a new global image orientation approach for a set of multiple overlapping images with given homologous point tuples which is based on a two-step procedure. The approach is independent on initial values, robust with respect to outliers and yields the global minimum solution under relatively mild constraints. The first step of the approach consists of the estimation of global rotation parameters by averaging relative rotation estimates for image pairs (these are determined from the homologous points via the essential matrix in a pre-processing step). For the averaging we make use of algebraic group theory in which rotations, as part of the special orthogonal group SO(3), form a Lie group with a Riemannian manifold structure. This allows for a mapping to the local Euclidean tangent space of SO(3), the Lie algebra. In this space the redundancy of relative orientations is used to compute an average of the absolute rotation for each image and furthermore to detect and eliminate outliers. In the second step translation parameters and the object coordinates of the homologous points are estimated within a convex L∞ optimisation, in which the rotation parameters are kept fixed. As an optional third step the results can be used as initial values for a final bundle adjustment that does not suffer from bad initialisation and quickly converges to a globally optimal solution. We investigate our approach for global image orientation based on synthetic data. The results are compared to a robust least squares bundle adjustment. In this way we show that our approach is independent of initial values and more robust against outliers than a conventional bundle adjustment.
[Segl tilhørende Peder L. Ween]
Creators: name: Ween, Peder L.
Publisher: name: Unknown
Year: 0

description: Blasonering av skjoldet: I skjoldet bokstavene P W.
description: Blasonering av hjelmtegnet: Mglr. hjelm.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
Primary gonadal failure in children with intracranial brain tumors treated with high dose alkylating agents and radiation sparing therapy: an institutional case series
Creators: name: Cheng, Sylvia
name: Riedlinger, Sarah
name: Ronsley, Rebecca
name: Stewart, Laura
name: Hukin, Juliette
name: Lam, Carol K.L.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Pharmacology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Treatment of young children with brain tumors may require the use of high dose chemotherapy with alkylating agents to avoid craniospinal irradiation. The objective of this study is to describe the probability of primary gonadal failure (PGF) in children with a malignant intracranial tumor treated with high-dose alkylating agents in children diagnosed less than age 8 years who were treated with this radiation-sparing approach at our institution. Patient demographics, oncological and endocrine diagnoses, treatment modalities, and laboratory values were collected. Descriptive statistics, Kaplan Meier survival curves, regression analysis, and T-tests were used in data analysis. Eight of 18 (44%) developed PGF. The probability of developing PGF is 11% at 5 years, and 31% at 10 years. Cyclophosphamide equivalent dose (CED) was higher and duration of follow-up was longer in children with PGF. PGF is common in children who received CED without irradiation, but further studies are needed to correlate CED dose and time to onset of PGF.
A comparison of two strategies for avoiding negative transfer in domain adaptation based on logistic regression
Creators: name: Paul, A.
name: Vogt, K.
name: Rottensteiner, F.
name: Ostermann, J.
name: Heipke, C.
Publisher: name: Göttingen : Copernicus GmbH
Year: 2018
Subjects: subject: Domain adaptation
subject: Negative transfer
subject: Remote sensing
subject: Transfer learning
subject: Knowledge management
subject: Sampling
subject: Classification performance
subject: Consistent performance
subject: Different distributions
subject: Knowledge transfer
subject: Logistic regressions
subject: Negative transfers
subject: Classification (of information)
subject: Konferenzschrift
subject: Dewey Decimal Classification::600 | Technik
subject: Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau::621 | Angewandte Physik::621,3 | Elektrotechnik, Elektronik

description: In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge from a source domain, where labelled training samples are abundant but the data may follow a different distribution, to a target domain, where labelled training samples are scarce or even unavailable, assuming that the domains are related. Thus, the requirements w.r.t. the availability of labelled training samples in the target domain are reduced. In particular, if no labelled target data are available, it is inherently difficult to find a robust measure of relatedness between the source and target domains. This is of crucial importance for the performance of TL, because the knowledge transfer between unrelated data may lead to negative transfer, i.e. to a decrease of classification performance after transfer. We address the problem of measuring the relatedness between source and target datasets and investigate three different strategies to predict and, consequently, to avoid negative transfer in this paper. The first strategy is based on circular validation. The second strategy relies on the Maximum Mean Discrepancy (MMD) similarity metric, whereas the third one is an extension of MMD which incorporates the knowledge about the class labels in the source domain. Our method is evaluated using two different benchmark datasets. The experiments highlight the strengths and weaknesses of the investigated methods. We also show that it is possible to reduce the amount of negative transfer using these strategies for a TL method and to generate a consistent performance improvement over the whole dataset.
A Problem in Particle Physics and Its Bayesian Analysis
Creators: name: Landon, Joshua
name: Lee, Frank X.
name: Singpurwalla, Nozer D.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: There is a class of statistical problems that arises in several contexts, the Lattice QCD problem of particle physics being one that has attracted the most attention. In essence, the problem boils down to the estimation of an infinite number of parameters from a finite number of equations, each equation being an infinite sum of exponential functions. By introducing a latent parameter into the QCD system, we are able to identify a pattern which tantamounts to reducing the system to a telescopic series. A statistical model is then endowed on the series, and inference about the unknown parameters done via a Bayesian approach. A computationally intensive Markov Chain Monte Carlo (MCMC) algorithm is invoked to implement the approach. The algorithm shares some parallels with that used in the particle Kalman filter. The approach is validated against simulated as well as data generated by a physics code pertaining to the quark masses of protons. The value of our approach is that we are now able to answer questions that could not be readily answered using some standard approaches in particle physics. The structure of the Lattice QCD equations is not unique to physics. Such architectures also appear in mathematical biology, nuclear magnetic imaging, network analysis, ultracentrifuge, and a host of other relaxation and time decay phenomena. Thus, the methodology of this paper should have an appeal that transcends the Lattice QCD scenario which motivated us.
description: Published in at http://dx.doi.org/10.1214/11-STS364 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Contextual classification of point clouds using a two-stage CRF
Creators: name: Niemeyer, Joachim
name: Rottensteiner, Franz
name: Sörgel, Uwe
name: Heipke, Christian
Publisher: name: Göttingen : Copernicus GmbH
Year: 2015
Subjects: subject: Classification
subject: Conditional Random Fields
subject: Contextual
subject: LiDAR
subject: Point cloud
subject: Clustering algorithms
subject: Image segmentation
subject: Optical radar
subject: Random processes
subject: Statistical tests
subject: Classification features
subject: Conditional random field
subject: Contextual classification
subject: Long range interactions
subject: Urban
subject: Urban classification
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften
subject: Dewey Decimal Classification::500 | Naturwissenschaften::510 | Mathematik

description: In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A two-stage CRF is set up: in a first step, a point-based CRF is applied. The resulting labellings are then used to generate a segmentation of the classified points using a Conditional Euclidean Clustering algorithm. This algorithm combines neighbouring points with the same object label into one segment. The second step comprises the classification of these segments, again with a CRF. As the number of the segments is much smaller than the number of points, it is computationally feasible to integrate long range interactions into this framework. Additionally, two different types of interactions are introduced: one for the local neighbourhood and another one operating on a coarser scale. This paper presents the entire processing chain. We show preliminary results achieved using the Vaihingen LiDAR dataset from the ISPRS Benchmark on Urban Classification and 3D Reconstruction, which consists of three test areas characterised by different and challenging conditions. The utilised classification features are described, and the advantages and remaining problems of our approach are discussed. We also compare our results to those generated by a point-based classification and show that a slight improvement is obtained with this first implementation.
Ground-state Wigner functional of linearized gravitational field
Creators: name: Garcia-Compean, Hugo
name: Turrubiates, Francisco J.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The deformation quantization formalism is applied to the linearized gravitational field. Standard aspects of this formalism are worked out before the ground state Wigner functional is obtained. Finally, the propagator for the graviton is also discussed within the context of this formalism.
description: 18 pages, no figures
Automated extraction of the Antarctic coastline using snakes
Creators: name: Klinger, T.
name: Heipke, Christian
name: Ott, N.
name: Schenke, H.W.
name: Ziems, M.
Publisher: name: Göttingen : Copernicus GmbH
Year: 2010
Subjects: subject: Antarctica
subject: Automation
subject: Coastline
subject: Landsat
subject: Mapping
subject: Modelling
subject: Snakes
subject: Updating
subject: Curve fitting
subject: Geometrical optics
subject: Ice
subject: Image segmentation
subject: Models
subject: Sea ice
subject: LANDSAT
subject: Landforms
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften::520 | Astronomie, Kartographie

description: In this paper we present an automatic approach for coastline detection from images which is based on parametric active contours (snakes). Snakes require the definition of an energy functional that reflects the underlying coastline model. As for Antarctica, our application domain, the coastline appearance in the used optical images is heterogeneous. Therefore, a single model does not work equally well in all situations. On the basis of an up-to-date Landsat mosaic three different models are formulated that match a large part of the Antarctic coastline, i.e. the transition from ice shelf to water, from ice shelf to sea ice and from rocky terrain to water. For each of the three different cases the energy terms are optimized based on the radiometric properties of the adjacent regions as well as the curvature and the potential change-rate of the coastline itself. A supervised classification for the three classes ice, water and rocky terrain controls the whole process by choosing the most applicable model for a certain image region. With a view to the practical application the developed approach was integrated into a semiautomatic system, where the human operator supervises the optimization process of the contour and interactively corrects the results if the system fails.
The RKKY coupling in diluted magnetic semiconductors
Creators: name: Werpachowska, A.
name: Wilamowski, Z.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: This paper is an attempt to modify the classic Ruderman-Kittel-Kasuya-Yosida (RKKY) model to allow the analysis of the magnetic resonance measurements. In our calculations, we follow the treatment of the original authors of the RKKY model but include the finite band splitting, Δ, as a phenomenological parameter. The RKKY exchange is not anymore of Heisenberg type and an anisotropy induced by the direction of carrier magnetization occurs.
description: 6 pages, 2 figs
[Segl tilhørende Jacob Friderik Matheson]
Creators: name: Matheson, Jacob Friderik
Publisher: name: Unknown
Year: 0

description: Blasonering av skjoldet: Skjoldet kløvd i sølv og blått. I 1. felt tre seksoddete stjerner (1.1.1), I 2. felt en oppvendt sabel.
description: Blasonering av hjelmtegnet: På kronet hjelm tre blomster på stilk med blad.
description: Blasonering av skjoldholdere: To tilbakeseende griffer.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
Conditional random fields for the classification of lidar point clouds
Creators: name: Niemeyer, Joachim
name: Mallet, C.
name: Rottensteiner, Franz
name: Sörgel, Uwe
Publisher: name: Göttingen : Copernicus GmbH
Year: 2011
Subjects: subject: Conditional Random Fields
subject: 3D Point Cloud
subject: LiDAR
subject: Classification
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften

description: In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds. Several object classes (i.e. ground, building and vegetation) can be separated reliably by considering each point's neighbourhood. Based on Conditional Random Fields (CRF) this contextual information can be incorporated into classification process in order to improve results. Since we want to perform a point-wise classification, no primarily segmentation is needed. Therefore, each 3D point is regarded as a graph's node, whereas edges represent links to the nearest neighbours. Both nodes and edges are associated with features and have effect on the classification. We use some features available from full waveform technology such as amplitude, echo width and number of echoes as well as some extracted geometrical features. The aim of the paper is to describe the CRF model set-up for irregular point clouds, present the features used for classification, and to discuss some results. The resulting overall accuracy is about 94 %.
Biomechanical behavior of deep anterior lamellar keratoplasty: a finite element analysis
Creators: name: Chen, Jianhan
name: Huang, Yueshan
name: Li, Runfeng
name: Wen, Xi
name: Lao, Yonghua
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Medicine
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Mental Health
subject: Plant Biology
subject: Computational Biology

description: Deep Anterior Lamellar Keratoplasty (DALK) is a surgical procedure used to restore sight and manage corneal diseases by replacing cloudy corneal tissue with allogeneic normal corneal tissue or artificial corneal material. However, the limited availability and mechanical defects of artificial corneal materials pose challenges in DALK. To predicting postoperative mechanical behavior of Deep Anterior Lamellar Keratoplasty (DALK), a three-dimensional finite element model of the postoperative DALK cornea with suture holes was developed. The postoperative corneal displacement and von Mises (VM) stress changes were also simulated under varying depths of cut (DOC: 0.16-0.26 μm), intraocular pressure (IOP: 12, 15, 18 mmHg), and central corneal thickness (CCT: 420-620 μm). The model indicated that higher IOP and CCT were associated with improved postoperative corneal stability. The postoperative corneal displacement increased from the edge to the center, while the maximum VM stress value occurs at the corneal suture hole. Corneal displacement and VM stress decrease with increasing CCT and decreasing IOP. DOC has a slight effect on corneal displacement and VM stress, with an overall positive relationship. The model has potential application in the preoperative assessment of risk in keratoplasty.
[Segl tilhørende Dons]
Creators: name: Dons
Publisher: name: Unknown
Year: 0

description: Monogramsegl: Bokstaven D. Over skjoldet bokstavene C C.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
Tafeln
Creators: name: Redaktion, Die
Publisher: name: Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege
Year: 2020

description: Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege, Bd. 27 Nr. 1 (1974): Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege
Biomechanical behavior of deep anterior lamellar keratoplasty: a finite element analysis
Creators: name: Lao, Yonghua
name: Chen, Jianhan
name: Huang, Yueshan
name: Li, Runfeng
name: Wen, Xi
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biophysics
subject: Medicine
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Mental Health
subject: Plant Biology
subject: Computational Biology

description: Deep Anterior Lamellar Keratoplasty (DALK) is a surgical procedure used to restore sight and manage corneal diseases by replacing cloudy corneal tissue with allogeneic normal corneal tissue or artificial corneal material. However, the limited availability and mechanical defects of artificial corneal materials pose challenges in DALK. To predicting postoperative mechanical behavior of Deep Anterior Lamellar Keratoplasty (DALK), a three-dimensional finite element model of the postoperative DALK cornea with suture holes was developed. The postoperative corneal displacement and von Mises (VM) stress changes were also simulated under varying depths of cut (DOC: 0.16-0.26 μm), intraocular pressure (IOP: 12, 15, 18 mmHg), and central corneal thickness (CCT: 420-620 μm). The model indicated that higher IOP and CCT were associated with improved postoperative corneal stability. The postoperative corneal displacement increased from the edge to the center, while the maximum VM stress value occurs at the corneal suture hole. Corneal displacement and VM stress decrease with increasing CCT and decreasing IOP. DOC has a slight effect on corneal displacement and VM stress, with an overall positive relationship. The model has potential application in the preoperative assessment of risk in keratoplasty.
Inhalt
Creators: name: Redaktion, Die
Publisher: name: Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege
Year: 2020

description: Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege, Bd. 27 Nr. 12 (1974): Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege
[Segl tilhørende I.K. Dons]
Creators: name: Dons, I.K.
Publisher: name: Unknown
Year: 0

description: Blasonering av skjoldet: Ikke skjold. I seglet en tulipan på en stilk.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
On a five-dimensional version of the Goldberg-Sachs theorem
Creators: name: Ortaggio, Marcello
name: Pravda, Vojtech
name: Pravdova, Alena
name: Reall, Harvey S.
Publisher: name: arXiv
Year: 2012
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Previous work has found a higher-dimensional generalization of the "geodesic part" of the Goldberg-Sachs theorem. We investigate the generalization of the "shear-free part" of the theorem. A spacetime is defined to be algebraically special if it admits a multiple Weyl Aligned Null Direction (WAND). The algebraically special property restricts the form of the "optical matrix" that defines the expansion, rotation and shear of the multiple WAND. After working out some general constraints that hold in arbitrary dimensions, we determine necessary algebraic conditions on the optical matrix of a multiple WAND in a five-dimensional Einstein spacetime. We prove that one can choose an orthonormal basis to bring the 3 x 3 optical matrix to one of three canonical forms, each involving two parameters, and we discuss the existence of an "optical structure" within these classes. Examples of solutions corresponding to each form are given. We give an example which demonstrates that our necessary algebraic conditions are not sufficient for a null vector field to be a multiple WAND, in contrast with the 4d result.
description: 26 pages
[Segl tilhørende Even Johnsen Aasen]
Creators: name: Aasen, Even Johnsen
Publisher: name: Unknown
Year: 0

description: Monogramsegl: Bokstavene E J S.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
Joint classification of ALS and DIM point clouds
Creators: name: Politz, F.
name: Sester, M.
Publisher: name: Göttingen : Copernicus GmbH
Year: 2019
Subjects: subject: Airborne Laser Scanning
subject: Dense Image Matching
subject: encoder-decoder Network
subject: point cloud
subject: transfer learning
subject: Antennas
subject: Decoding
subject: Image matching
subject: Laser applications
subject: Neural networks
subject: Signal encoding
subject: Classification results
subject: Convolutional neural network
subject: Encoder-decoder
subject: Measurement techniques
subject: National mapping agencies
subject: Point cloud
subject: Transfer learning
subject: Classification (of information)
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften

description: National mapping agencies (NMAs) have to acquire nation-wide Digital Terrain Models on a regular basis as part of their obligations to provide up-to-date data. Point clouds from Airborne Laser Scanning (ALS) are an important data source for this task; recently, NMAs also started deriving Dense Image Matching (DIM) point clouds from aerial images. As a result, NMAs have both point cloud data sources available, which they can exploit for their purposes. In this study, we investigate the potential of transfer learning from ALS to DIM data, so the time consuming step of data labelling can be reduced. Due to their specific individual measurement techniques, both point clouds have various distinct properties such as RGB or intensity values, which are often exploited for classification of either ALS or DIM point clouds. However, those features also hinder transfer learning between these two point cloud types, since they do not exist in the other point cloud type. As the mere 3D point is available in both point cloud types, we focus on transfer learning from an ALS to a DIM point cloud using exclusively the point coordinates. We are tackling the issue of different point densities by rasterizing the point cloud into a 2D grid and take important height features as input for classification. We train an encoder-decoder convolutional neural network with labelled ALS data as a baseline and then fine-tune this baseline with an increasing amount of labelled DIM data. We also train the same network exclusively on all available DIM data as reference to compare our results. We show that only 10% of labelled DIM data increase the classification results notably, which is especially relevant for practical applications.
[Segl tilhørende Auden Pedersen Haavien]
Creators: name: Haavien, Auden Pedersen
Publisher: name: Unknown
Year: 0

description: Monogramsegl: Bokstavene A P S.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
[Segl tilhørende Claus Koefoed]
Creators: name: Koefoed, Claus
Publisher: name: Unknown
Year: 0

description: Monogramsegl: Bokstavene C K.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
Detection of water surfaces in full-waveform laser scanning data
Creators: name: Schmidt, Alena
name: Rottensteiner, Franz
name: Sörgel, Uwe
Publisher: name: Göttingen : Copernicus GmbH
Year: 2011
Subjects: subject: Airborne laser scanning
subject: full waveform
subject: classification
subject: water
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften

description: Airborne laser scanning has become a standard method for recording topographic data. A new generation of laser scanners digitises the complete waveform of the backscattered signal and thus offers the possibility of analysing the signal shape. As a product of the laser scanning, a digital surface model (DSM) or a digital terrain model (DTM) can be derived. In water regions, data acquisition by laser scanning is limited to the water surface because the near-infrared laser pulses hardly penetrate water. Therefore, a height model generated from laser scanner point clouds over water regions does not represent the actual terrain. The generation of a DTM thus requires the detection of water surfaces. In this study, a method for the detection and classification of water surfaces in airborne laser scanning data is proposed. The method works with both geometrical features (e.g. height or height variation) and characteristics of the pulses derived from the full waveform of the returned signal (e.g. intensity or pulse width). In our strategy, based on fuzzy logic, all classification parameters are derived automatically from training areas. According to their statistical distributions, the features are considered with individual weights. The aim of this paper is to analyse crucial features for classification and to investigate the potential of full waveform laser scanning data for this application. We present results from different areas with lakes and rivers, analysing the contribution of the individual groups of features for the detection of water surfaces.
Delineation of building footprints from high resolution satellite stereo imagery using image matching and a GIS database
Creators: name: Dini, Gholam Reza
name: Jacobsen, Karsten
name: Heipke, Christian
Publisher: name: Göttingen : Copernicus GmbH
Year: 2013
Subjects: subject: Building
subject: FOS: Civil engineering
subject: Edges
subject: High resolution
subject: Matching
subject: Database systems
subject: Image matching
subject: Satellite imagery
subject: Satellites
subject: GIS-database
subject: Satellite images
subject: Stereo image processing
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften

description: In this paper, a workflow is proposed to delineate building footprints from high resolution satellite stereo images through integration of a Digital Surface Model (DSM), 3D edge matching technique and GIS building polygons. First, Digital Surface Models (DSM) and a normalised DSM are derived by traditional image matching. Three different removal masks are employed to reduce the effects of matching errors, roads and vegetation. We then compare all resulting blobs with the GIS 2D building layer. For blobs without a partner in the database, building outlines are extracted based on 3D edge matching. To do so, edges on epipolar images are first detected individually on each image using the Canny operator. After removing short edges and extracting straight lines, we find the best corresponding lines using various constraints. Finally, the topological relationship of the derived 3D edges is employed to reconstruct the shape of the building and the building footprints using a box-fitting approach. Our experiments on GeoEye-1 stereo images show promising results if buildings are large enough, have simple shape and show good contrast compared to the background.
Energy distribution and quantum yield for photoemission from air-contaminated gold surfaces under UV illumination close to the threshold
Creators: name: Hechenblaikner, Gerald
name: Ziegler, Tobias
name: Biswas, Indro
name: Seibel, Christoph
name: Schulze, Mathias
name: Brandt, Nico
name: Schoell, Achim
name: Bergner, Patrick
name: Reinert, Friedrich T.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The kinetic energy distributions of photo-electrons emitted from gold surfaces under illumination by UV-light close to the threshold are measured and analyzed. Samples are prepared as chemically clean through Ar-Ion sputtering and then exposed to atmosphere for variable durations before Quantum Yield measurements are performed after evacuation. During measurements the bias voltage applied to the sample is varied and the resulting emission current measured. Taking the derivative of the current-voltage curve yields the energy distribution which is found to closely resemble the distribution of total energies derived by DuBridge for emission from a free electron gas. We investigate the dependence of distribution shape and width on electrode geometry and contaminant substances adsorbed from the atmosphere, in particular to water and hydro-carbons. Emission efficiency increases initially during air exposure before diminishing to zero on a timescale of several hours, whilst subsequent annealing of the sample restores emissivity. A model fit function, in good quantitative agreement with the measured data, is introduced which accounts for the experiment-specific electrode geometry and an energy dependent transmission coefficient. The impact of large patch potential fields from contact potential drops between sample and sample holder is investigated. The total quantum yield is split into bulk and surface contributions which are tested for their sensitivity to light incidence angle and polarization. Our results are directly applicable to model parameters for the contact-free discharge system onboard the LISA Pathfinder spacecraft.
description: paper draft: two columns, 12 pages, 10 figures
Density of States for a Specified Correlation Function and the Energy Landscape
Creators: name: Gommes, Cedric
name: Jiao, Yang
name: Torquato, Salvatore
Publisher: name: arXiv
Year: 2012
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The degeneracy of two-phase disordered microstructures consistent with a specified correlation function is analyzed by mapping it to a ground-state degeneracy. We determine for the first time the associated density of states via a Monte Carlo algorithm. Our results are described in terms of the roughness of the energy landscape, defined on a hypercubic configuration space. The use of a Hamming distance in this space enables us to define a roughness metric, which is calculated from the correlation function alone and related quantitatively to the structural degeneracy. This relation is validated for a wide variety of disordered systems.
description: Accepted for publication in Physical Review Letters
[Segl tilhørende Mehlum]
Creators: name: Mehlum
Publisher: name: Unknown
Year: 0

description: Monogramsegl: Bokstaven M.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
[Segl tilhørende Halsten Isaksøn Mejstad]
Creators: name: Mejstad, Halsten Isaksøn
Publisher: name: Unknown
Year: 0

description: Monogramsegl: Bokstavene H I S M.
description: Beskrivelse av segl og andre opplysninger er hentet fra boka "Segl i Universitetsbiblioteket i Trondheim" av Harald Nissen og Monica Aase utgitt 1990.
3D classification of crossroads from multiple aerial images using markov random fields
Creators: name: Kosov, Sergej
name: Rottensteiner, Franz
name: Heipke, Christian
name: Leitloff, Jens
name: Hinz, Stefan
Publisher: name: Göttingen : Copernicus GmbH
Year: 2012
Subjects: subject: Markov Random Fields
subject: Contextual
subject: Classification
subject: Crossroads
subject: extraction
subject: Konferenzschrift
subject: Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften

description: The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a probabilistic model that can be used to consider context in classification. A simple appearance-based model is combined with a probabilistic model of the co-occurrence of class label at neighbouring image sites to distinguish up to 14 different classes that are relevant for scenes containing crossroads. The parameters of these models are learnt from training data. We use multiple overlap aerial images to derive a digital surface model (DSM) and a true orthophoto without moving cars. From the DSM and the orthophoto we derive feature vectors that are used in the classification. One of the features is a car confidence value that is supposed to support the classification when the road surface is occluded by static cars. Our approach is evaluated on a dataset of airborne photos of an urban area by a comparison of the results to reference data. Whereas the method has problems in distinguishing classes having a similar appearance, it is shown to produce promising results if a reduced set of classes is considered, yielding an overall classification accuracy of 74.8%.