cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
Creators: name: Upreti, Nijesh
name: Ciupa, Jessica
name: Belle, Vaishak
Publisher: name: arXiv
Year: 2025
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: A computational ethics framework is essential for AI and autonomous systems operating in complex, real-world environments. Existing approaches often lack the adaptability needed to integrate ethical principles into dynamic and ambiguous contexts, limiting their effectiveness across diverse scenarios. To address these challenges, we outline the necessary ingredients for building a holistic, meta-level framework that combines intermediate representations, probabilistic reasoning, and knowledge representation. The specifications therein emphasize scalability, supporting ethical reasoning at both individual decision-making levels and within the collective dynamics of multi-agent systems. By integrating theoretical principles with contextual factors, it facilitates structured and context-aware decision-making, ensuring alignment with overarching ethical standards. We further explore proposed theorems outlining how ethical reasoners should operate, offering a foundation for practical implementation. These constructs aim to support the development of robust and ethically reliable AI systems capable of navigating the complexities of real-world moral decision-making scenarios.
Improvements on the Stability and Operation of a Magnetron H- Ion Source
Creators: name: Sosa, A.
name: Bollinger, D. S.
name: Karns, P. R.
name: Tan, C. Y.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: The magnetron H- ion sources developed in the 1970s currently in operation at Fermilab provide beam to the rest of the accelerator complex. A series of modifications to these sources have been tested in a dedicated offline test stand with the aim of improving different operational issues. The solenoid type gas valve was tested as an alternative to the piezoelectric gas valve in order to avoid its temperature dependence. A new cesium oven was designed and tested in order to avoid glass pieces that were present with the previous oven, improve thermal insulation and fine tune its temperature. A current-regulated arc modulator was developed to run the ion source at a constant arc current, providing very stable beam outputs during operations. In order to reduce beam noise, the addition of small amounts of N2 gas was explored, as well as testing different cathode shapes with increasing plasma volume. This paper summarizes the studies and modifications done in the source over the last three years with the aim of improving its stability, reliability and overall performance.
description: 8 pages, 19 figures
Scalar fields, localized structures and the Starobinsky model
Creators: name: Bazeia, D.
name: Lima, Elisama E. M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: This work deals with the presence of localized static structures in the real line, described by relativistic real scalar fields in two spacetime dimensions. We consider models featuring both standard and modified kinematics, where we employ two intriguing potentials supporting defect solutions. The first potential can transform kink into compacton in the standard framework, while the second one is based on the inflationary Starobinsky model. Interesting possibilities unseen in previous investigations are described, in particular, for the case related to the Starobinsky potential. The addressed potentials are inserted into a broader framework, and so the extended models are described by a wider set of solutions. This investigation also reveals the presence of the twinlike behavior for a specific compact configuration, which solves two distinct models.
description: 9 pages, 12 figures; version to appear in EPJC
Umbilical Cord Blood Transplantation: Clinical Challenges
Creators: name: Sharma, Shilpa
Publisher: name: figshare
Year: 2018
Subjects: subject: 110708 Transplantation Immunology
subject: FOS: Clinical medicine

description: Umbilical cord blood transplantation (UCBT) is becoming a salvage treatment in lieu of bone marrow or peripheral blood stem cell transplantation in patients with hematological disorders who lack human leucocyte antigen (HLA) identical stem cell donor. Additionally, this procedure has demonstrated reduced recurrent acute and chronic graft-versus-host disease, reduced relapse rates, long-term immunological recovery and comparable overall survival when compared with other unrelated allogeneic hematopoietic stem cell transplantation. UCBT is further elucidated by its easy procurement, expeditious availability and more tolerance for HLA mismatches. Discerningly, UCBT is followed by notable delays in the rates and kinetics of neutrophil and platelet engraftment and higher transplant related mortality. This is related in part to the inherently lessened number of hematopoietic stem and progenitor cells in UCB grafts. Several strategies have been assayed to overcome relatively limited number of stem cells, such as multiple UCB transplants and ex vivo expansion of HSCs. In this review, we have compiled the current clinical research investigations to provide reader with a brief glimpse into the remarkable potential UCB possess for transplantation.
Ziele - Wegweisen in der Psychomotoriktherapie eine Anleitung zur Zielformulierung
Creators: name: Kolly, Lea
name: Enzler-Haus, Ursina
Publisher: name: Zenodo
Year: 2013
Subjects: Psychomotorik
Psychomotoriktherapie
Bachelorarbeit

description: Im Rahmen dieser Arbeit wurde ein Leitfaden zur Zielformulierung in der Psychomotoriktherapie entwickelt, welcher sich an Studierende und Berufsanfängerinnen richtet. Die Grundlage dafür bildet eine Literaturanalyse in den Bereichen der Arbeits-, Motivations- und Zielpsychologie sowie die Erläuterung von Modellen und Ansätzen für die Zielformulierung. Weiter wurde der aktuelle Stand erfasst, wie die Zielformulierung an der Hochschule für Heilpädagogik gelehrt wird. Zusätzlich wurde eine vergleichende Fallstudie durchgeführt. Dazu wurden sechs Psychomotoriktherapeutinnen anhand von teilstrukturierten Interviews befragt. Es wurde den Fragen nachgegangen, wie Praktikerinnen aus dem Arbeitsfeld Ziele formulieren und wie wichtig diese Zielformulierungen sind. Die Interviews wurden mit einer zusammenfassenden Inhaltsanalyse ausgewertet. Die Ergebnisse wurden schlussendlich mit den theoretischen Grundlagen verknüpft, um den Leitfaden zu entwickeln.
Online Hashing
Creators: name: Huang, Long-Kai
name: Yang, Qiang
name: Zheng, Wei-Shi
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Although hash function learning algorithms have achieved great success in recent years, most existing hash models are off-line, which are not suitable for processing sequential or online data. To address this problem, this work proposes an online hash model to accommodate data coming in stream for online learning. Specifically, a new loss function is proposed to measure the similarity loss between a pair of data samples in hamming space. Then, a structured hash model is derived and optimized in a passive-aggressive way. Theoretical analysis on the upper bound of the cumulative loss for the proposed online hash model is provided. Furthermore, we extend our online hashing from a single-model to a multi-model online hashing that trains multiple models so as to retain diverse online hashing models in order to avoid biased update. The competitive efficiency and effectiveness of the proposed online hash models are verified through extensive experiments on several large-scale datasets as compared to related hashing methods.
description: To appear in IEEE Transactions on Neural Networks and Learning Systems (DOI: 10.1109/TNNLS.2017.2689242)
Radiation-induced lymphopenia and the survival of women with cervical cancer: a meta-analysis
Creators: name: Cao, Hongming
name: Yan, Haiyan
name: Bai, Shoumin
name: Gu, Baihui
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: The current systematic analysis and meta-analysis was aimed to evaluate the association between radiation-induced lymphopenia (RIL) and survival of women with cervical cancer (CC). PubMed, Embase, Web of Science, and Cochrane Library were searched for relevant cohort studies comparing survival between women with CC who developed versus not developed RIL after radiotherapy. We pooled the results using a random-effects model that incorporates heterogeneity. In the meta-analysis, 952 women with CC were included from eight cohort studies. Overall, 378 (39.7%) of them had RIL after radiotherapy. During a median follow-up duration of 41.8 months, pooled results showed that RIL was independently associated with poor overall survival (hazard ratio [HR]: 2.67, 95% confidence interval [CI]: 1.81 to 3.94, p < 0.001; I2 = 20%) and progression-free survival (HR: 2.17, 95% CI: 1.58 to 2.98, p < 0.001; I2 = 0%). Predefined subgroup analyses showed similar results in patients with grade 3-4 and grade 4 RIL, in patients with RIL diagnosed during or after the radiotherapy, and in studies with quality score of seven or eight points (p values for subgroup effect all < 0.05). In conclusion, women with RIL were associated with poor survival after radiotherapy for CC.
Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image Reconstruction
Creators: name: Quero, Carlos Osorio
name: Leykam, Daniel
name: Ojeda, Irving Rondon
Publisher: name: arXiv
Year: 2024
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Conventional deep learning-based image reconstruction methods require a large amount of training data which can be hard to obtain in practice. Untrained deep learning methods overcome this limitation by training a network to invert a physical model of the image formation process. Here we present a novel untrained Res-U2Net model for phase retrieval. We use the extracted phase information to determine changes in an object's surface and generate a mesh representation of its 3D structure. We compare the performance of Res-U2Net phase retrieval against UNet and U2Net using images from the GDXRAY dataset.
description: 16 pages, 8 figures, 4 Tables
Kinematic clues to bar evolution for galaxies in the local universe: why the fastest rotating bars are rotating most slowly
Creators: name: Font, J.
name: Beckman, J. E.
name: Martínez-Valpuesta, I.
name: Borlaff, A. S.
name: James, P. A.
name: Díaz-García, S.
name: García-Lorenzo, B.
name: Camps-Fariña, A.
name: Gutiérrez, L.
name: Amram, P.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We have used Spitzer images of a sample of 68 barred spiral galaxies in the local universe to make systematic measurements of bar length and bar strength. We combine these with precise determinations of the corotation radii associated with the bars, taken from our previous study which used the phase change from radial inflow to radial outflow of gas at corotation, based on high resolution two-dimensional velocity fields in Hα taken with a Fabry-Pérot spectrometer. After presenting the histograms of the derived bar parameters, we study their dependence on the galaxy morphological type and on the total stellar mass of the host galaxy, and then produce a set of parametric plots. These include the bar pattern speed versus bar length, the pattern speed normalized with the characteristic pattern speed of the outer disk versus the bar strength, and the normalized pattern speed versus R, the ratio of corotation radius to bar length. To provide guide-lines for our interpretation we used a recently published simulations, including disk and dark matter halo components. Our most striking conclusion is that bars with values of R < 1.4, previously considered dynamically fast rotators, can be among the slowest rotators both in absolute terms and when their pattern speeds are normalized. The simulations confirm that this is because as the bars are braked they can grow longer more quickly than the outward drift of the corotation radius. We conclude that dark matter halos have indeed slowed down the rotation of bars on Gyr timescales.
description: 35 pages, 17 figures, 4 tables
title: Transformation of urban tissue along downtown arteries Morphometric evaluation of resilient urban form
Creators: name: Kowalski, Kamil
name: Hanzl, Małgorzata
Publisher: name: Conference Proceedings XXIX International Seminar on Urban Form ISUF 2022 Urban Redevelopment and Revitalisation A Multidisciplinary Perspective/Lodz University of Technology Press
Year: 2023
Subjects: rban morphometry, Urban resilience, Streets, Arteries, Urban form.

description: The complexity of urban processes, which occurred in post-socialist countries after the second world war, contributed to the creation of underdeveloped urban tissue that was, in many cases, resistant to changes. This applies particularly to cities that grew rapidly, such as Lodz. Unfinished processes of transforming urban tissue along urban arteries are still an unsolved problem of the city centre of Lodz. This article aims to compare and evaluate resilience of urban tissue that have taken place over the years along newly built urban arteries. The research contributes to the methodology of urban morphometry. We consider the construction of the most important transportation routes in Lodz as representative example. Based on the measurements of urban tissue elements, we assessed the dynamics of the changes taking place in the spatial structure along the main urban arteries. Besides, the aggregated data enabled us to reflect on the reasons for the transformations and their context. This study is in line with the current trend of searching methods supporting the evaluation of resilient urban form. In addition, the article continues the research initiated by Professor Marek Koter, whose study was a pioneering Polish solution in the implementation of quantitative methods to assess the transformation of the urban tissue.
Osteogenic Differentiation of Mesenchymal Stem Cells in their Native Niche Like Environment
Creators: name: Fakhr E
name: Seyedjafari E
name: Ahmadbeigi N
Publisher: name: figshare
Year: 2018
Subjects: subject: 110708 Transplantation Immunology
subject: FOS: Clinical medicine

description: Niche is an important microenvironment regulating stem cell's natural behavior and its fate. Mesenchymal Stem Cells (MSCs) are the most common cells used in bone tissue engineering. However, common culture procedures do not retain MSCs in their niche and apply in vitro expansion which can cause abnormal behavior. In this study, we propose that, by Keeping MSCs in their native niche, natural behavior of these cells and their interactions are maintained and the quality of differentiation will enhance. In our previous studies, we isolated MSCs kept in their native niche-like environment (nativeMSCs) in the form of aggregates. Herein, in order to explore the osteogenic differentiation of these cells, they were isolated from bone marrow, and in vitro osteogenesis was assessed via alizarin red and real time PCR. It was observed that they differentiated after 6 days, which is remarkably faster than the conventional 21-day period. Higher expression of Runx2, Spp1 and alkaline phosphatase in native-MSCs also confirmed in vitro results. We also examine their attachment on poly (L-lactic acid) (PLLA) scaffold. In sum, native-MSCs exhibited faster differentiation than expanded MSCs which proves the importance of keeping stem cells in their niche.
Global prediction of nuclear charge density distributions using deep neural network
Creators: name: Shang, Tian Shuai
name: Xie, Hui Hui
name: Li, Jian
name: Liang, Haozhao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: A deep neural network (DNN) has been developed to generate the distributions of nuclear charge density, utilizing the training data from the relativistic density functional theory and incorporating available experimental charge radii of 1014 nuclei into the loss function. The DNN achieved a root-mean-square (rms) deviation of 0.0193 fm for charge radii on its validation set. Furthermore, the DNN can improve the description in both the tail and central regions of the charge density, enhancing agreement with experimental findings. The model's predictive capability has been further validated by its agreement with recent experimental data on charge radii. Finally, this refined model is employed to predict the charge density distributions in a wider range of nuclide chart, and the parameterized charge densities, charge radii, and higher-order moments of charge density distributions are given, providing a robust reference for future experimental investigations.
description: 11 pages, 5 figures
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning.
Creators: name: Zhang, Yao
name: Lee, Alpha A
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019

description: Predicting bioactivity and physical properties of small molecules is a central challenge in drug discovery. Deep learning is becoming the method of choice but studies to date focus on mean accuracy as the main metric. However, to replace costly and mission-critical experiments by models, a high mean accuracy is not enough: outliers can derail a discovery campaign, thus models need to reliably predict when it will fail, even when the training data is biased; experiments are expensive, thus models need to be data-efficient and suggest informative training sets using active learning. We show that uncertainty quantification and active learning can be achieved by Bayesian semi-supervised graph convolutional neural networks. The Bayesian approach estimates uncertainty in a statistically principled way through sampling from the posterior distribution. Semi-supervised learning disentangles representation learning and regression, keeping uncertainty estimates accurate in the low data limit and allowing the model to start active learning from a small initial pool of training data. Our study highlights the promise of Bayesian deep learning for chemistry.
Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke.
Creators: name: Abraham, Gad
name: Malik, Rainer
name: Yonova-Doing, Ekaterina
name: Salim, Agus
name: Wang, Tingting
name: Danesh, John
name: Butterworth, Adam S
name: Howson, Joanna M M
name: Inouye, Michael
name: Dichgans, Martin
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019

description: Recent genome-wide association studies in stroke have enabled the generation of genomic risk scores (GRS) but their predictive power has been modest compared to established stroke risk factors. Here, using a meta-scoring approach, we develop a metaGRS for ischaemic stroke (IS) and analyse this score in the UK Biobank (n = 395,393; 3075 IS events by age 75). The metaGRS hazard ratio for IS (1.26, 95% CI 1.22-1.31 per metaGRS standard deviation) doubles that of a previous GRS, identifying a subset of individuals at monogenic levels of risk: the top 0.25% of metaGRS have three-fold risk of IS. The metaGRS is similarly or more predictive compared to several risk factors, such as family history, blood pressure, body mass index, and smoking. We estimate the reductions needed in modifiable risk factors for individuals with different levels of genomic risk and suggest that, for individuals with high metaGRS, achieving risk factor levels recommended by current guidelines may be insufficient to mitigate risk.
title: ADCO, Cart. 186 (11 H 71), f. 0267v
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2012
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la Côte-d'Or, C
art. 186 (11 H 71). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la
 Côte-d'Or, Cart. 186 (11 H 71), f. 0267v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-
project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Spectral series of the Schrödinger operator with delta-potential on a three-dimensional spherically symmetric manifold
Creators: name: Ratiu, Tudor S.
name: Suleymanova, Asilya
name: Shafarevich, Andrei
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The spectral series of the Schrödinger operator with a delta-potential on a three-dimensional compact spherically symmetric manifold in the semiclassical limit as $h\to0$ are described.
description: 17 pages, 2 figures, in Russian, English version can be found at http://link.springer.com/article/10.1134/S1061920813030072
A novel, sensitive dual-indicator cell line for detection and quantification of inducible, replication-competent latent HIV-1 from reservoir cells.
Creators: name: Salasc, Fanny
name: Gludish, David W
name: Jarvis, Isobel
name: Boliar, Saikat
name: Wills, Mark R
name: Russell, David G
name: Lever, Andrew M L
name: Mok, Hoi-Ping
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019

description: Understanding the mechanisms involved in HIV infection and latency, and development of a cure, rely on the availability of sensitive research tools such as indicator cells, which allow rigorous quantification of viral activity. Here we describe the construction and validation of a novel dual-indicator cell line, Sup-GGR, which offers two different readouts to quantify viral replication. A construct expressing both Gaussia luciferase and hrGFP in a Tat- and Rev-dependent manner was engineered into SupT1-CCR5 to create Sup-GGR cells. This cell line supports the replication of both X4 and R5-tropic HIV as efficiently as its parental cell line, SupT1-CCR5, and allows repeated sampling without the need to terminate the culture. Sup-GGR demonstrates comparable sensitivity and similar kinetics in virus outgrowth assays (VOA) to SupT1-CCR5 using clinical samples. However the Gaussia luciferase reporter is significantly less labor-intensive and allows earlier detection of reactivated latent viruses compared to the conventional HIV p24 ELISA assay. The Sup-GGR cell line constitutes a versatile new tool for HIV research and clinical trials.
A recursive algorithm for trees and forests
Creators: name: Guo, Song
name: Guo, Victor J. W.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C05, 05A15, 05A19

description: Trees or rooted trees have been generously studied in the literature. A forest is a set of trees or rooted trees. Here we give recurrence relations between the number of some kind of rooted forest with $k$ roots and that with $k+1$ roots on $\{1,2,\ldots,n\}$. Classical formulas for counting various trees such as rooted trees, bipartite trees, tripartite trees, plane trees, $k$-ary plane trees, $k$-edge colored trees follow immediately from our recursive relations.
description: 15 pages
Extremely high extinction ratio electro-optic modulator via frequency upconversion to visible wavelengths
Creators: name: Sabatti, Alessandra
name: Kellner, Jost
name: Kaufmann, Fabian
name: Chapman, Robert J.
name: Finco, Giovanni
name: Kuttner, Tristan
name: Maeder, Andreas
name: Grange, Rachel
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Intensity modulators are fundamental components for integrated photonics. From near infrared to visible spectral ranges, they find applications in optical communication and quantum technologies. In particular, they are required for the control and manipulation of atomic systems such as atomic clocks and quantum computers. Typical integrated electro-optic modulators operating at these wavelengths show high bandwidth and low voltage operation, but their extinction ratios are moderate. Here we present an integrated thin-film lithium niobate electro-optic modulator operating in the C-band, which uses a subsequent periodically poled waveguide to convert the modulated signal from 1536 nm to 768 nm using second harmonic generation. We demonstrate that the upconverted signal retains the characteristics of the modulated input signal, reaching a measured high bandwidth of 40 GHz. Due to the nature of the nonlinear process, it exhibits, with respect to the fundamental signal, a doubled extinction ratio of 46 dB, which is the highest recorded for near-infrared light on this platform.
description: 4 pages, 3 figures
Additional file 1 of Cloning and functional verification of a porcine adipose tissue-specific promoter
Creators: name: Zhang, Dawei
name: Shen, Liangcai
name: Wu, Wenjing
name: Liu, Keke
name: Zhang, Jin
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Table S1. Primers for Q-PCR analysis.
Dark photon - dark energy stationary axisymmetric black holes
Creators: name: Rogatko, Marek
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Using Ernst formalism, stationary axisymmetric black hole solution in Einstein-dark matter-dark energy gravity has been elaborated. The dark sector was chosen as dark photon concept, where an auxiliary U(1)-gauge field coupled to ordinary Maxwell one was introduced, while dark energy was modelled by the existence of positive cosmological constant. Refining our studies to the case of vanishing cosmological constant, the uniqueness theorem for the black hole in question has been proved.
description: RevTex, 21 pages, to be published in Phys.Rev. D15
Re-Engraftment of Prior Cord Blood Graft in a Patient with Relapsed/Refractory Acute Myeloid Leukaemia following Haploidentical Transplantation
Creators: name: FLWI, Lim
name: Bari S
name: WYK, Hwang
Publisher: name: figshare
Year: 2018
Subjects: subject: 110708 Transplantation Immunology
subject: FOS: Clinical medicine

description: We report the case of a 32-year-old man with poor risk acute myeloid leukemia (AML) who received transplantation of an UCB graft following myeloablative conditioning but unfortunately relapsed after one year with complete loss of donor chimerism. As this patient did not have an HLA - matched sibling donor or a volunteer MUD, he went on to receive a second transplant with haploidentical CD34 cells from his mother following a non-myeloablative conditioning. After initial engraftment with the haploidentical donor cells, the patient became progressively pancytopenic and chimerism analysis revealed decreased level of cells derived from the haploidentical graft. However, there was a concurrent increasing ratio of the UCB derived cells from the first transplant. The patient had eventual recovery and stabilization of his full blood count and repeat chimerism analysis demonstrated successful re-engraftment with the previous UCB graft. To the best of our knowledge, no such similar cases have been reported in the literature. Thus, cord blood cells from a prior transplant could remain present in small quantities at the phase ofleukemia relapse and re-emerge to establish long term hematopoiesis even after graft failure from a subsequent haploidentical transplant.
Psychomotorik und Prävention – Erarbeitung von zentralen Kriterien bezüglich der Planung und Durchführung psychomotorischer Präventionsprojekte mit einzelnen Klassen
Creators: name: Kofler, Vanessa
name: Sattler, Gabriela
Publisher: name: Zenodo
Year: 2013
Subjects: Psychomotorik
Psychomotoriktherapie
Bachelorarbeit

description: Im Rahmen dieser Bachelorarbeit wurde ein Informationsflyer für Lehrpersonen und Psychomotorik-Therapeutinnen erarbeitet. Dieser soll dazu dienen, PsychomotorikTherapeutinnen und Lehrpersonen in ihrer Zusammenarbeit zu unterstützen, wenn sie gemeinsam ein psychomotorisches Präventionsprojekt in einer Klasse durchführen wollen. Um der Frage nachzugehen, welche Kriterien bei der Planung und Durchführung eines psychomotorischen Präventionsprojekt berücksichtigt werden sollten, wurden Interviews mit Personen der beiden Berufsgruppen geführt, welche Erfahrung in Bezug auf benannte Projekte aufweisen. Parallel dazu wurden theoretische Grundsätze zu den Schlagworten Psychomotorik, Prävention, Projekt und Zusammenarbeit erarbeitet. Die durch die Interviews erhobenen Daten wurden anschliessend über mehrere Schritte ausgewertet. Aus den erhaltenen Ergebnissen und deren Bezug zu den aufgezeigten theoretischen Grundlagen konnten mögliche Kriterien hergeleitet werden, die von Lehrpersonen und Psychomotorik-Therapeutinnen bei der Planung und Durchführung psychomotorischer Präventionsprojekte zu berücksichtigen sind. Es konnte festgestellt werden, dass diese Kriterien hauptsächlich die frühzeitige flexible Planung, die persönlichen und organisatorischen Aspekte der Zusammenarbeit und die Einhaltung der Phasen eines Projektes betreffen. Zudem haben sich gewisse Merkmale der Projekte hervorgehoben, welche die Wahrscheinlichkeit auf den Projekterfolg erhöhen.
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Creators: name: Schmitt, Sebastian
name: Klaehn, Johann
name: Bellec, Guillaume
name: Gruebl, Andreas
name: Guettler, Maurice
name: Hartel, Andreas
name: Hartmann, Stephan
name: Husmann, Dan
name: Husmann, Kai
name: Karasenko, Vitali
name: Kleider, Mitja
name: Koke, Christoph
name: Mauch, Christian
name: Mueller, Eric
name: Mueller, Paul
name: Partzsch, Johannes
name: Petrovici, Mihai A.
name: Schiefer, Stefan
name: Scholze, Stefan
name: Vogginger, Bernhard
name: Legenstein, Robert
name: Maass, Wolfgang
name: Mayr, Christian
name: Schemmel, Johannes
name: Meier, Karlheinz
Publisher: name: arXiv
Year: 2017
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Emulating spiking neural networks on analog neuromorphic hardware offers several advantages over simulating them on conventional computers, particularly in terms of speed and energy consumption. However, this usually comes at the cost of reduced control over the dynamics of the emulated networks. In this paper, we demonstrate how iterative training of a hardware-emulated network can compensate for anomalies induced by the analog substrate. We first convert a deep neural network trained in software to a spiking network on the BrainScaleS wafer-scale neuromorphic system, thereby enabling an acceleration factor of 10 000 compared to the biological time domain. This mapping is followed by the in-the-loop training, where in each training step, the network activity is first recorded in hardware and then used to compute the parameter updates in software via backpropagation. An essential finding is that the parameter updates do not have to be precise, but only need to approximately follow the correct gradient, which simplifies the computation of updates. Using this approach, after only several tens of iterations, the spiking network shows an accuracy close to the ideal software-emulated prototype. The presented techniques show that deep spiking networks emulated on analog neuromorphic devices can attain good computational performance despite the inherent variations of the analog substrate.
description: 8 pages, 10 figures, submitted to IJCNN 2017
Muon-to-Electron Conversion in Mirror Fermion Model with Electroweak Scale Non-Sterile Right-handed Neutrinos
Creators: name: Hung, P. Q.
name: Le, Trinh
name: Tran, Van Que
name: Yuan, Tzu-Chiang
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The muon-to-electron conversion in nuclei like aluminum, titanium and gold is studied in the context of a class of mirror fermion model with non-sterile right-handed neutrinos having mass at the electroweak scale. At the limit of zero momentum transfer and large mirror lepton masses, we derive a simple formula to relate the conversion rate with the on-shell radiative decay rate of muon into electron. Current experimental limits (SINDRUM II) and projected sensitivities (Mu2e, COMET and PRISM) for the muon-to-electron conversion rates in various nuclei and latest limit from MEG for the radiative decay rate of muon into electron are used to put constraints on the parameter space of the model. Depending on the nuclei targets used in different experiments, for the mirror lepton mass in the range of 100 to 800 GeV, the sensitivities of the new Yukawa couplings one can probe in the near future are in the range of one tenth to one hundred-thousandth, depending on the mixing scenarios in the model.
description: 31 pages, 5 figures
Pinguicula corsica var. coerulescens Briq.
Creators: name: Jeanmonod, Daniel
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Lamiales
Lentibulariaceae
Pinguicula
Pinguicula corsica
Pinguicula corsica var. coerulescens briq.

description: Pinguicula corsica var. coerulescens Briq. in Annuaire Conserv. Jard. Bot. Genève 9: 175. 1905.
Lectotypus (hic designatus): FRANCE. Corse: près du sommet du col de Vergio, versant du Niolo, 1400 m, 30.V.1904, E. Burnat. J. Burnat, Cavillier & Abrezol 515 (G-BU [G00830138]!).
description: Published as part of Jeanmonod, Daniel, 2018, Typification des noms de taxons corses de l'herbier Burnat (G-BU), pp. 61-74 in Candollea 73 (1) on page 68, DOI: 10.15553/c2018v731a6, http://zenodo.org/record/5722164
Gene Expression Analysis of Rat Adipose Tissue-Derived Stem Cells
Creators: name: Cannella V
name: Casella S
name: Altomare R
name: AI, Lo Monte
name: P, Di Marco
name: Russotto L
name: S, Di Bella
name: Purpari G
name: Gucciardi F
name: Cassata G
name: Piccione G
name: Guercio A
Publisher: name: figshare
Year: 2018
Subjects: subject: 110708 Transplantation Immunology
subject: FOS: Clinical medicine

description: The aim of this study was to isolate and characterize rat Adipose Derived Mesenchymal Stem Cells (AD-MSCs) in order to evaluate the stemness markers gene expression levels, together with the assessment of phenotypic expression of the CD90 and CD45 markers. MSCs were obtained from subcutaneous adipose tissue of 16 Wistar rats. Microbiological controls were performed to exclude the presence of bacteria, fungi and viruses in tissue. Adipose tissue was mechanically and enzimatically fragmented and stromal cell fraction was seeded in adherent culture flasks in DMEM 20% FBS. After 48h, the medium was replaced. Cells were characterized by evaluating their ability to adhere to the plastic; the clonogenic potential by Colony Forming Unit (CFU) assay and their ability to differentiate adipocytes and osteocytes. AD-MSCs were analysed for the expression of three stem cell master genes (OCT-4, SOX-2 and NANOG) at different cell subcultures by Sybr Green RealTime PCR. Statistical analysis, performed with REST software, showed that the expression of the genes is maintained from subculture 0 to 5. Moreover, flow cytometry analysis confirmed the mesenchymal nature of cells isolated from adipose tissue as they were positive for CD90, which is a MSCs surface marker, and negative for CD45 (typical hematopoietic marker).
Automated Real-Time Inspection in Indoor and Outdoor 3D Environments with Cooperative Aerial Robots
Creators: name: Anastasiou, Andreas
name: Zacharia, Angelos
name: Papaioannou, Savvas
name: Kolios, Panayiotis
name: Panayiotou, Christos G.
name: Polycarpou, Marios M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This work introduces a cooperative inspection system designed to efficiently control and coordinate a team of distributed heterogeneous UAV agents for the inspection of 3D structures in cluttered, unknown spaces. Our proposed approach employs a two-stage innovative methodology. Initially, it leverages the complementary sensing capabilities of the robots to cooperatively map the unknown environment. It then generates optimized, collision-free inspection paths, thereby ensuring comprehensive coverage of the structure's surface area. The effectiveness of our system is demonstrated through qualitative and quantitative results from extensive Gazebo-based simulations that closely replicate real-world inspection scenarios, highlighting its ability to thoroughly inspect real-world-like 3D structures.
description: 2024 International Conference on Unmanned Aircraft Systems (ICUAS)
High Throughput Characterization of Epitaxially Grown Single-Layer MoS2
Creators: name: Ghasemi, Foad
name: Frisenda, Riccardo
name: Dumcenco, Dumitru
name: Kis, Andras
name: de Lara, David Perez
name: Castellanos-Gomez, Andres
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The growth of single-layer MoS2 with chemical vapor deposition is an established method that can produce large-area and high quality samples. In this article, we investigate the geometrical and optical properties of hundreds of individual single-layer MoS2 crystallites grown on a highly-polished sapphire substrate. Most of the crystallites are oriented along the terraces of the sapphire substrate and have an area comprised between 10 μm2 and 60 μm2. Differential reflectance measurements performed on these crystallites show that the area of the MoS2 crystallites has an influence on the position and broadening of the B exciton while the orientation does not influence the A and B excitons of MoS2. These measurements demonstrate that differential reflectance measurements have the potential to be used to characterize the homogeneity of large area CVD grown samples.
description: 10 pages, 5 figures
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
Creators: name: Yu, Weikang
name: Zhang, Xiaokang
name: Das, Samiran
name: Zhu, Xiao Xiang
name: Ghamisi, Pedram
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature. It is typically regarded as a pixel-wise labeling task that aims to classify each pixel as changed or unchanged. Although per-pixel classification networks in encoder-decoder structures have shown dominance, they still suffer from imprecise boundaries and incomplete object delineation at various scenes. For high-resolution RS images, partly or totally changed objects are more worthy of attention rather than a single pixel. Therefore, we revisit the CD task from the mask prediction and classification perspective and propose MaskCD to detect changed areas by adaptively generating categorized masks from input image pairs. Specifically, it utilizes a cross-level change representation perceiver (CLCRP) to learn multiscale change-aware representations and capture spatiotemporal relations from encoded features by exploiting deformable multihead self-attention (DeformMHSA). Subsequently, a masked-attention-based detection transformers (MA-DETR) decoder is developed to accurately locate and identify changed objects based on masked attention and self-attention mechanisms. It reconstructs the desired changed objects by decoding the pixel-wise representations into learnable mask proposals and making final predictions from these candidates. Experimental results on five benchmark datasets demonstrate the proposed approach outperforms other state-of-the-art models. Codes and pretrained models are available online (https://github.com/EricYu97/MaskCD).
Quantifying disease activity in rheumatoid arthritis with the TSPO PET ligand 18F-GE-180 and comparison with 18F-FDG and DCE-MRI.
Creators: name: De Groot, Marius
name: Patel, Neel
name: Manavaki, Roido
name: Janiczek, Robert L
name: Bergstrom, Mats
name: Östör, Andrew
name: Gerlag, Danielle
name: Roberts, Alexandra
name: Graves, Martin J
name: Karkera, Yakshitha
name: Fernando, Disala
name: Mistry, Prafull
name: Walker, Adam
name: Wisniacki, Nicolas
name: Fryer, Tim D
name: Jimenez-Royo, Pilar
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: Rheumatoid arthritis
MRI
PET
Fdg
Tspo

description: PURPOSE:While the aetiology of rheumatoid arthritis (RA) remains unclear, many of the inflammatory components are well characterised. For diagnosis and therapy evaluation, in vivo insight into these processes would be valuable. Various imaging probes have shown value including dynamic contrast-enhanced (DCE) MRI and PET/CT using 18F-fluorodeoxyglucose (18F-FDG) or tracers targeting the translocator protein (TSPO). To evaluate 18F-GE-180, a novel TSPO PET tracer, for detecting and quantifying disease activity in RA, we compared 18F-GE-180 uptake with that of 18F-FDG and DCE-MRI measures of inflammation. METHODS:Eight RA patients with moderate-to-high, stable disease activity and active disease in at least one wrist were included in this study (NCT02350426). Participants underwent PET/CT examinations with 18F-GE-180 and 18F-FDG on separate visits, covering the shoulders and from the pelvis to the feet, including hands and wrists. DCE-MRI was performed on one affected hand. Uptake was compared visually between tracers as judged by an experienced radiologist and quantitatively using the maximum standardised uptake value (SUVmax). Uptake for both tracers was correlated with DCE-MRI parameters of inflammation, including the volume transfer coefficient Ktrans using Pearson correlation (r). RESULTS:PET/CT imaging with 18F-GE-180 in RA patients showed marked extra-synovial uptake around the affected joints. Overall sensitivity for detecting clinically affected joints was low (14%). 18F-GE-180 uptake did not or only weakly correlate with DCE-MRI parameters in the wrist (r = 0.09-0.31). 18F-FDG showed higher sensitivity for detecting symptomatic joints (34%), as well as strong positive correlation with DCE-MRI parameters (SUVmax vs. Ktrans: r = 0.92 for wrist; r = 0.68 for metacarpophalangeal joints). CONCLUSIONS:The correlations between DCE-MRI parameters and 18F-FDG uptake support use of this PET tracer for quantification of inflammatory burden in RA. The TSPO tracer 18F-GE-180, however, has shown limited use for the investigation of RA due to its poor sensitivity and ability to quantify disease activity in RA.
Multipotent Mesenchymal Stromal Cells Derived from the Bone Marrow Transported Over 12 Hours Change Their Main Characteristics
Creators: name: Petinati NA
name: Shipounova IN
name: Popova MD
name: Drize NJ
name: Kuzmina LA
name: Parovichnikova EN
name: Savchenko VG
Publisher: name: figshare
Year: 2018
Subjects: subject: 110708 Transplantation Immunology
subject: FOS: Clinical medicine

description: Many investigations have addressed the possibility of using multipotent mesenchymal stromal cells (MSCs) for treatment of various diseases due to their ability for tissue regeneration and unique immunomodulating capacities. These stromal cells can be cultivated in vitro and represent adult, fibroblast-like cells that can differentiate into tissues of mesodermal origin. Previous studies have attempted to develop the criteria for human MSC eligibility for therapeutic applications. MSCs secrete various cytokines, growth factors and extracellular matrix molecules
Zum Potential von bewegungs- und körperorientierten Interventionen bei Kindern mit ADHS
Creators: name: Gresch, Barbara
Publisher: name: Zenodo
Year: 2016
Subjects: Psychomotorik
Psychomotoriktherapie
Aufmerksamkeitsdefizit-Syndrom
Kind
Bachelorarbeit

description: ADHS stellt Kinder und ihr Umfeld häufig vor grosse Herausforderungen und stellt durch die mit ihm einhergehenden Verhaltensauffälligkeiten und der sich daraus entwickelnden Negativspirale eine Entwicklungsgefährdung dar. Diese Arbeit geht den Fragen nach, inwiefern sich bewegungs- und körperorientierte Interventionen eignen, um ADHS betroffene Kinder in der psychomotorischen Praxis zu unterstützen. Es werden verschiedene Forschungsberichte und theoretische Modelle analysiert, welche die Wirksamkeit dieser Interventionen bei von ADHS betroffenen Kindern überprüfen. Aus diesen Erkenntnissen werden Ansätze hergeleitet, welche sich in der psychomotorischen Therapie und Prävention wirksam einsetzen lassen können.
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Cart. 188 (11 H 73), f. 0250v
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Archives départementales de la Côte-d'Or, Cart. 188 (11 H 73), f. 0250v, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome IV, Archives départementales de la Côte-d'Or, Cart. 188 (11 H 73), f. 0250v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261