cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
(501288) Emma Dore
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
Please See Other One Called "An Elementary Proof of Goldbach's Conjecture" in this same author's profile, thats Correct. https://figshare.com/articles/preprint/An_Elementary_Proof_of_Goldbach_s_Conjecture_v_3_10/24185760This are only the first sketches of the final result: "An Elementary Proof of Goldbach's Conjecture".Thank you for your attention.
Creators: name: Chavez, Danilo
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 490401
subject: Algebra and number theory
classificationCode: 490501
subject: Applied statistics
classificationCode: 490506
subject: Probability theory

description: Please See Other One Called "An Elementary Proof of Goldbach's Conjecture" in this same author's profile, thats Correct.https://figshare.com/articles/preprint/An_Elementary_Proof_of_Goldbach_s_Conjecture_v_3_10/24185760This are only the first sketches of the final result: "An Elementary Proof of Goldbach's Conjecture".Thank you for your attention.
title: Indonesia makes progress towards zero palm oil deforestation
Creators: name: Heilmayr, Robert
name: Benedict, Jason
Publisher: name: Trase
Year: 2022
Subjects: subject: FOS: Agriculture, forestry, and fisheries
valueUri: http://www.oecd.org/science/inno/38235147.pdf
subject: FOS: Economics and business
valueUri: http://www.oecd.org/science/inno/38235147.pdf
subject: FOS: Earth and related environmental sciences
valueUri: http://www.oecd.org/science/inno/38235147.pdf

description: Indonesian deforestation for palm oil has declined significantly, with the greatest falls occurring in supply chains governed by zero-deforestation commitments. However, rising palm oil prices and the growing role of traders who have lower levels of public transparency threaten to undermine progress.
Additional file 2 of Acceptable health and ageing: results of a cross-sectional study from Hungary
Creators: name: Péntek, Márta
name: Exel, Job Van
name: Gulácsi, László
name: Brodszky, Valentin
name: Zrubka, Zsombor
name: Baji, Petra
name: Rencz, Fanni
name: Brouwer, Werner B. F.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Additional file 2. Acceptable health curve—aggregate (AHCAGGR) based on Dutch tariffs both in Hungary and The Netherlands.
(501290) Harry John Greig
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
O Plano De Conservação E Acondicionamento Da Coleção De Aquarelas De Paleoarte Do Museu Da Geodiversidade (IGEO/UFRJ)
Creators: name: Gabriele Batista Melo Pierini Macena
Publisher: name: Zenodo
Year: 2024

description: As paleoartes são representações científicas e impactantes que nos remontam períodos de milhares de anos atrás, e que por si só, são práticas de preservar o conhecimento, de forma visual, da evolução do nosso planeta. Deste modo, é importantíssimo que possamos realizar a salvaguarda deste tipo de acervo, e neste caso, o objetivo é aplicar os métodos da conservação na coleção de aquarelas de paleoarte pertencentes ao Museu da Geodiversidade (MGeo), um museu universitário vinculado ao Instituto de Geociências da Universidade Federal do Rio de Janeiro (IGEO/UFRJ). Todo o processo de intervenção e conservação preventiva compõe o tema do trabalho de conclusão de curso de uma aluna concluinte da graduação de Conservação e Restauração e bolsista de extensão do museu, e são divididos em três etapas: a primeira de reconhecimento e organização das pinturas. A segunda de higienização, catalogação e criação de inventário. A terceira de acondicionamento com materiais acid-free, adequados para armazenamento da reserva técnica. A partir deste trabalho foi possível realizar entrevista com o professor doador da coleção, afim de recolher informações sobre o histórico das pinturas, além de extensas pesquisas sobre o assunto. Foram contabilizadas até o momento 50 pranchas de aquarelas retratando animais pré-históricos e suas ambiências. A intenção deste trabalho, é efetuar o plano de tratamento e criar propostas de salvaguarda facilitadas e corretas.
Machine Learning for Mini-EUSO Telescope Data Analysis
Creators: name: Bertaina, Mario
name: Zotov, Mikhail
name: Anzhiganov, Dmitry
name: Barghini, Dario
name: Blaksley, Carl
name: Coretti, Antonio Giulio
name: Kryazhenkov, Aleksandr
name: Montanaro, Antonio
name: Olivi, Leonardo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Computational Physics (physics.comp-ph)
subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: Neural networks as well as other methods of machine learning (ML) are known to be highly efficient in different classification tasks, including classification of images and videos. Mini- EUSO is a wide-field-of-view imaging telescope that operates onboard the International Space Station since 2019 collecting data on miscellaneous processes that take place in the atmosphere of Earth in the UV range. Here we briefly present our results on the development of ML-based approaches for recognition and classification of track-like signals in the Mini-EUSO data, among them meteors, space debris and signals the light curves and kinematics of which are similar to those expected from extensive air showers generated by ultra-high-energy cosmic rays. We show that even simple neural networks demonstrate impressive performance in solving these tasks.
description: 10 pages, 3 figures, ICRC2023 conference
Perfect quantum state transfer of hard-core bosons on weighted path graphs
Creators: name: Large, Steven J.
name: Underwood, Michael S.
name: Feder, David L.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: The ability to accurately transfer quantum information through networks is an important primitive in distributed quantum systems. While perfect quantum state transfer (PST) can be effected by a single particle undergoing continuous-time quantum walks on a variety of graphs, it is not known if PST persists for many particles in the presence of interactions. We show that if single-particle PST occurs on one-dimensional weighted path graphs, then systems of hard-core bosons undergoing quantum walks on these paths also undergo PST. The analysis extends the Tonks-Girardeau ansatz to weighted graphs using techniques in algebraic graph theory. The results suggest that hard-core bosons do not generically undergo PST, even on graphs which exhibit single-particle PST.
description: 19 pages
O plano de conservação e acondicionamento da coleção de aquarelas de paleoarte do Museu da Geodiversidade (IGEO/UFRJ)
Creators: name: Batista Melo Pierini Macena, Gabriele
Publisher: name: Zenodo
Year: 2024

description: As paleoartes são representações científicas e impactantes que nos remontam períodos de milhares de anos atrás, e que por si só, são práticas de preservar o conhecimento, de forma visual, da evolução do nosso planeta. Deste modo, é importantíssimo que possamos realizar a salvaguarda deste tipo de acervo, e neste caso, o objetivo é aplicar os métodos da conservação na coleção de aquarelas de paleoarte pertencentes ao Museu da Geodiversidade (MGeo), um museu universitário vinculado ao Instituto de Geociências da Universidade Federal do Rio de Janeiro (IGEO/UFRJ). Todo o processo de intervenção e conservação preventiva compõe o tema do trabalho de conclusão de curso de uma aluna concluinte da graduação de Conservação e Restauração e bolsista de extensão do museu, e são divididos em três etapas: a primeira de reconhecimento e organização das pinturas. A segunda de higienização, catalogação e criação de inventário. A terceira de acondicionamento com materiais acid-free, adequados para armazenamento da reserva técnica. A partir deste trabalho foi possível realizar entrevista com o professor doador da coleção, afim de recolher informações sobre o histórico das pinturas, além de extensas pesquisas sobre o assunto. Foram contabilizadas até o momento 50 pranchas de aquarelas retratando animais pré-históricos e suas ambiências. A intenção deste trabalho, é efetuar o plano de tratamento e criar propostas de salvaguarda facilitadas e corretas.
O Plano de Conservação  e Acondicionamento da Coleção de Aquarelas de Paleoarte do Museu da Geodiversidade (IGEO/UFRJ)
Creators: name: Gabriele Batista Melo Pierini Macena
Publisher: name: Zenodo
Year: 2024

description: As paleoartes são representações científicas e impactantes que nos remontam períodos de milhares de anos atrás, e que por si só, são práticas de preservar o conhecimento, de forma visual, da evolução do nosso planeta. Deste modo, é importantíssimo que possamos realizar a salvaguarda deste tipo de acervo, e neste caso, o objetivo é aplicar os métodos da conservação na coleção de aquarelas de paleoarte pertencentes ao Museu da Geodiversidade (MGeo), um museu universitário vinculado ao Instituto de Geociências da Universidade Federal do Rio de Janeiro (IGEO/UFRJ). Todo o processo de intervenção e conservação preventiva compõe o tema do trabalho de conclusão de curso de uma aluna concluinte da graduação de Conservação e Restauração e bolsista de extensão do museu, e são divididos em três etapas: a primeira de reconhecimento e organização das pinturas. A segunda de higienização, catalogação e criação de inventário. A terceira de acondicionamento com materiais acid-free, adequados para armazenamento da reserva técnica. A partir deste trabalho foi possível realizar entrevista com o professor doador da coleção, afim de recolher informações sobre o histórico das pinturas, além de extensas pesquisas sobre o assunto. Foram contabilizadas até o momento 50 pranchas de aquarelas retratando animais pré-históricos e suas ambiências. A intenção deste trabalho, é efetuar o plano de tratamento e criar propostas de salvaguarda facilitadas e corretas.
Study of extremely reddened AGB stars in the Galactic bulge
Creators: name: Jiménez-Esteban, F. M.
name: Engels, D.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Context. Extremely reddened AGB stars lose mass at high rates of >10^-5 Msun/yr. This is the very last stage of AGB evolution, in which stars in the mass range 2.0--4.0 Msun (for solar metallicity) should have been converted to C stars already. The extremely reddened AGB stars in the Galactic bulge are however predominantly O-rich, implying that they might be either low-mass stars or stars at the upper end of the AGB mass range. Aims. To determine the mass range of the most reddened AGB stars in the Galactic bulge. Methods. Using Virtual Observatory tools, we constructed spectral energy distributions of a sample of 37 evolved stars in the Galactic bulge with extremely red IRAS colours. We fitted DUSTY models to the observational data to infer the bolometric fluxes. Applying individual corrections for interstellar extinction and adopting a common distance, we determined luminosities and mass-loss rates, and inferred the progenitor mass range from comparisons with AGB evolutionary models. Results. The observed spectral energy distributions are consistent with a classification as reddened AGB stars, except for two stars, which are proto-planetary nebula candidates. For the AGB stars, we found luminosities in the range 3000--30,000 Lsun and mass-loss rates 10^-5--3x10^-4 Msun/yr. The corresponding mass range is 1.1--6.0 Msun assuming solar metallicity. Conclusions. Contrary to the predictions of the evolutionary models, the luminosity distribution is continuous, with many O-rich AGB stars in the mass range in which they should have been converted into C stars already. We suspect that bulge AGB stars have higher than solar metallicity and therefore may avoid the conversion to C-rich. The presence of low-mass stars in the sample shows that their termination of the AGB evolution also occurs during a final phase of very high mass-loss rate, leading to optically thick circumstellar shells.
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation
Creators: name: Wang, Shuang
name: Eravci, Bahaeddin
name: Guliyev, Rustam
name: Ferhatosmanoglu, Hakan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.m
subject: 68T07

description: Graph Neural Network (GNN) training and inference involve significant challenges of scalability with respect to both model sizes and number of layers, resulting in degradation of efficiency and accuracy for large and deep GNNs. We present an end-to-end solution that aims to address these challenges for efficient GNNs in resource constrained environments while avoiding the oversmoothing problem in deep GNNs. We introduce a quantization based approach for all stages of GNNs, from message passing in training to node classification, compressing the model and enabling efficient processing. The proposed GNN quantizer learns quantization ranges and reduces the model size with comparable accuracy even under low-bit quantization. To scale with the number of layers, we devise a message propagation mechanism in training that controls layer-wise changes of similarities between neighboring nodes. This objective is incorporated into a Lagrangian function with constraints and a differential multiplier method is utilized to iteratively find optimal embeddings. This mitigates oversmoothing and suppresses the quantization error to a bound. Significant improvements are demonstrated over state-of-the-art quantization methods and deep GNN approaches in both full-precision and quantized models. The proposed quantizer demonstrates superior performance in INT2 configurations across all stages of GNN, achieving a notable level of accuracy. In contrast, existing quantization approaches fail to generate satisfactory accuracy levels. Finally, the inference with INT2 and INT4 representations exhibits a speedup of 5.11 $\times$ and 4.70 $\times$ compared to full precision counterparts, respectively.
description: To appear in CIKM2023
A Phenomenological Operator Description of Dynamics of Crowds: Escape Strategies
Creators: name: Bagarello, Fabio
name: Gargano, Francesco
name: Oliveri, Francesco
Publisher: name: arXiv
Year: 2014
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: We adopt an operatorial method, based on creation, annihilation and number operators, to describe one or two populations mutually interacting and moving in a two--dimensional region. In particular, we discuss how the two populations, contained in a certain two-dimensional region with a non--trivial topology, react when some alarm occurs. We consider the cases of both low and high densities of the populations, and discuss what is changing as the strength of the interaction increases. We also analyze what happens when the region has either a single exit or two ways out.
MHD wave refraction and the acoustic halo effect around solar active regions - a 3D study
Creators: name: Rijs, Carlos
name: Moradi, Hamed
name: Przybylski, Damien
name: Cally, Paul S.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: An enhancement in high-frequency acoustic power is commonly observed in the solar photosphere and chromosphere surrounding magnetic active regions. We perform 3D linear forward wave modelling with a simple wavelet pulse acoustic source to ascertain whether the formation of the acoustic halo is caused by MHD mode conversion through regions of moderate and inclined magnetic fields. This conversion type is most efficient when high frequency waves from below intersect magnetic field lines at a large angle. We find a strong relationship between halo formation and the equipartition surface at which the Alfvén speed $a$ matches the sound speed $c$, lending support to the theory that photospheric and chromospheric halo enhancement is due to the creation and subsequent reflection of magnetically dominated fast waves from essentially acoustic waves as they cross $a=c$. In simulations where we have capped $a$ such that waves are not permitted to refract after reaching the $a=c$ height, halos are non-existent, which suggests that the power enhancement is wholly dependent on returning fast waves. We also reproduce some of the observed halo properties, such as a dual 6 and 8 mHz enhancement structure and a spatial spreading of the halo with height.
Beta-glucuronidase from Tannerella forsythia – Enzymes Associated with Periodontitis
Creators: name: Lietzan, Adam David
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2020

description: Bacterial species associated with periodontitis produce enzymes involved with degradation of the periodontal extracellular matrix. Beta-glucuronidase (GUS; EC 3.2.1.31), a host- derived enzyme found in the lysosome, is essential for extracellular maintenance and homeostasis. Previous investigations suggest that neutrophils are responsible for an increase in GUS activity during active periodontal inflammation and destruction. Evaluation of the Human Oral Microbiome Database yields >40 predicted GUS enzymes. The genome for T. forsythia, a known periodontal pathogen, encodes two distinct GUS enzymes – TfGUS689 and TfGUS885. Both enzymes possess optimal GUS activity at pH conditions found in periodontitis. Structural mechanistic insights suggest that the carbohydrate binding module (CBM) from TfGUS885 accommodates large glucuronide containing polysaccharides. Therefore, the presence of a CBM may contribute to the pathogenicity of T. forsythia in periodontitis. The discovery of oral microbial GUS enzymes present in the periodontal sulcus reshapes the biomarker association between GUS activity and periodontitis.
Robust Open-Set Spoken Language Identification and the CU MultiLang Dataset
Creators: name: Eyceoz, Mustafa
name: Lee, Justin
name: Pittie, Siddharth
name: Beigi, Homayoon
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Most state-of-the-art spoken language identification models are closed-set; in other words, they can only output a language label from the set of classes they were trained on. Open-set spoken language identification systems, however, gain the ability to detect when an input exhibits none of the original languages. In this paper, we implement a novel approach to open-set spoken language identification that uses MFCC and pitch features, a TDNN model to extract meaningful feature embeddings, confidence thresholding on softmax outputs, and LDA and pLDA for learning to classify new unknown languages. We present a spoken language identification system that achieves 91.76% accuracy on trained languages and has the capability to adapt to unknown languages on the fly. To that end, we also built the CU MultiLang Dataset, a large and diverse multilingual speech corpus which was used to train and evaluate our system.
description: 6pages, 1 table, 6 figures
illuMINEation - Data Management Plan
Creators: name: Rehatschek, Karin
name: Loidl, Gernot
name: Hartlieb, Philipp
name: Waidacher Verena
name: Rios, Erkuden
name: Iturbe, Eider
name: Zeiner, Herwig
name: Garcia, Maite
name: Guilhot, Denis
name: Plociennik, Marcin
name: Jonsson, Daniel P.
Publisher: name: Zenodo
Year: 2021

description: The main purpose of this Data Management Plan is: to encourage good data handling within the illuMINEation project and to provide instructions on naming conventions, metadata structure, storing of research data and how public data should be made available.
(501284) Francis Richard Abbott
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
Correlating galaxy colour and halo concentration: A tunable Halo Model of galactic conformity
Creators: name: Paranjape, Aseem
name: Kovac, Katarina
name: Hartley, William G.
name: Pahwa, Isha
Publisher: name: arXiv
Year: 2015
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We extend the Halo Occupation Distribution (HOD) framework to generate mock galaxy catalogs exhibiting varying levels of "galactic conformity", which has emerged as a potentially powerful probe of environmental effects in galaxy evolution. Our model correlates galaxy colours in a group with the concentration of the common parent dark halo through a "group quenching efficiency" $ρ$ which makes older, more concentrated halos $\textit{at fixed mass}$ preferentially host redder galaxies. We find that, for a specific value of $ρ$, this 1-halo conformity matches corresponding measurements in a group catalog based on the Sloan Digital Sky Survey. Our mocks also display conformity at large separations from isolated objects, potentially an imprint of halo assembly bias. A detailed study - using mocks with assembly bias erased while keeping 1-halo conformity intact - reveals a rather nuanced situation, however. At separations $\lesssim 4$Mpc, conformity is mainly a 1-halo effect dominated by the largest halos and is $\textit{not}$ a robust indicator of assembly bias. Only at very large separations ($\gtrsim 8$Mpc) does genuine 2-halo conformity, driven by the assembly bias of small halos, manifest distinctly. We explain all these trends in standard Halo Model terms. Our model opens the door to parametrized HOD analyses that self-consistently account for galactic conformity at all scales.
description: 20 pages, 13 figures; v2 - Revised in response to referee comments; accepted in MNRAS
Uso da espectroscopia na região do infravermelho médio In Situ para análise de vernizes naturalmente envelhecidos na Pinacoteca do Museu Dom João VI
Creators: name: Siqueira da Silva de Oliveira, Tatiane
name: Lima Marques de Aguiar, Daniel
Publisher: name: Zenodo
Year: 2024

description: A pinacoteca do Museu D. João VI (MDJVI) possui um acervo diversificado e significativo, essencial para o ensino artístico no Brasil. Devido à variedade de origens e épocas das obras, o acervo abrange uma ampla gama de vernizes, cada um envelhecendo de acordo com suas propriedades químicas. No entanto, a falta de investigação aprofundada sobre os materiais das obras impede a equipe de conservação de desenvolver estratégias de preservação adequadas. Nesse contexto, a espectroscopia na região do infravermelho médio (FTIR) se destaca como uma técnica capaz de identificar os vernizes, registrando absorções de energia de grupos funcionais das amostras analisadas in situ, sem a necessidade de coleta de amostra. A FTIR pode identificar diversos tipos de vernizes e lesões nas estruturas químicas, mas as análises in situ apresentam desafios devido aos artefatos nos espectros, conhecidos como sinais de Reststrahlen. Estes exigem pós-processamento através da transformação de Kramers-Kronig (KKT). O estudo relatado foi realizado em pinturas do MDJVI, utilizando um espectrômetro de reflectância frontal da BRUKER para aquisição de dados com 256 scans na faixa de 4000 a 400 cm-1. Os espectros brutos foram comparados via análise non-targeted (NTA) de fingerprint, e dois softwares, OPUS e OMNIC, foram avaliados para tratamento dos sinais. Os resultados mostraram que a FTIR é viável para uma análise espectral geral, permitindo aos conservadores-restauradores entender a composição química dos materiais, sua estabilidade e desafios de preservação. No entanto, para garantir a confiabilidade dos dados, a FTIR deve ser complementada com outras técnicas para a correta identificação dos materiais.
Widths of weighted Sobolev classes with weights that are functions of distance to some h-set: some limiting cases
Creators: name: Vasil'eva, A. A.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Functional Analysis (math.FA)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: Here we obtain order estimates for widths of weighted Sobolev classes in the weighted Lebesgue space where parameters of the second weight satisfy some limiting conditions.
Continual Learning for Generative Retrieval over Dynamic Corpora
Creators: name: Chen, Jiangui
name: Zhang, Ruqing
name: Guo, Jiafeng
name: de Rijke, Maarten
name: Chen, Wei
name: Fan, Yixing
name: Cheng, Xueqi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Generative retrieval (GR) directly predicts the identifiers of relevant documents (i.e., docids) based on a parametric model. It has achieved solid performance on many ad-hoc retrieval tasks. So far, these tasks have assumed a static document collection. In many practical scenarios, however, document collections are dynamic, where new documents are continuously added to the corpus. The ability to incrementally index new documents while preserving the ability to answer queries with both previously and newly indexed relevant documents is vital to applying GR models. In this paper, we address this practical continual learning problem for GR. We put forward a novel Continual-LEarner for generatiVE Retrieval (CLEVER) model and make two major contributions to continual learning for GR: (i) To encode new documents into docids with low computational cost, we present Incremental Product Quantization, which updates a partial quantization codebook according to two adaptive thresholds; and (ii) To memorize new documents for querying without forgetting previous knowledge, we propose a memory-augmented learning mechanism, to form meaningful connections between old and new documents. Empirical results demonstrate the effectiveness and efficiency of the proposed model.
description: Accepted by CIKM 2023
Systematic study of high-pT di-jet correlations in nuclear collisions with the PHENIX experiment at RHIC
Creators: name: Grau, Nathan Conrad
Publisher: name: Zenodo
Year: 2005
Subjects: jet
centrality
correlation function
elliptical flow
associated buffer
trigger buffer
hbt
fragmentation function

description: This thesis represents the first systematic study of jet properties in nuclear collisions. Jet properties using two-particle azimuthal correlations in p+p collisions serve as a necessary baseline for the potential modification of jet properties in nuclear collisions. The work is focused on jet shapes and yields from p+p through Au+Au collisions in an attempt to characterize the cold and hot, dense nuclear matter effects on jets. The data were collected in consecutive runs under similar running conditions from December 2002 to May 2003 and from January-May 2004 in PHENIX, RHIC.
Distributed multi-agent target search and tracking with Gaussian process and reinforcement learning
Creators: name: Kim, Jigang
name: Jang, Dohyun
name: Kim, H. Jin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Deploying multiple robots for target search and tracking has many practical applications, yet the challenge of planning over unknown or partially known targets remains difficult to address. With recent advances in deep learning, intelligent control techniques such as reinforcement learning have enabled agents to learn autonomously from environment interactions with little to no prior knowledge. Such methods can address the exploration-exploitation tradeoff of planning over unknown targets in a data-driven manner, eliminating the reliance on heuristics typical of traditional approaches and streamlining the decision-making pipeline with end-to-end training. In this paper, we propose a multi-agent reinforcement learning technique with target map building based on distributed Gaussian process. We leverage the distributed Gaussian process to encode belief over the target locations and efficiently plan over unknown targets. We evaluate the performance and transferability of the trained policy in simulation and demonstrate the method on a swarm of micro unmanned aerial vehicles with hardware experiments.
description: 10 pages, 6 figures; preprint submitted to IJCAS; first two authors contributed equally
Fluorescence microscopy of materials with energy applications
Creators: name: Geberth, Geoffrey Thomas
Publisher: name: The University of Texas at Austin
Year: 2020
Subjects: Fluorescence microscopy
Conjugated polymers
Perylene diimides
PDIs
RP perovskites
Perovskites
Ruddlesden-Popper
Microscopy

description: One of the largest drivers of modern materials research is the advancement of renewable energy, particularly solar power. This objective has seen the rise of several different materials systems, each with their own advantages and disadvantages. Before any of these alternatives to traditional inorganic semiconductors can be effectively utilized at a commercial scale, they must first be understood at the fundamental level such that they can be tuned through utilization of the structure-property relationship. This dissertation describes the use of fluorescence-based microscopy techniques to explore material systems relevant to energy production at the smallest possible levels, ranging from single molecules and aggregates to small scale surface structures in order to unravel the microscopic heterogeneities that influence photophysical performance. First, two different conjugated polymers were studied. Poly(3-(2'-methoxy-5'-octylphenyl)thiophene) (POMeOPT) aggregates were studied in bulk solution in order to probe charge transfer character in the excited state. Nonpolar solution environments led to more than hundredfold increases in the fluorescence intensity of this material, demonstrating the importance of the environment in manipulating the photophysics of conjugated polymers and illustrating the role the charge transfer state plays in the excited state. Next, a polyphenylenevinylene (PPV) based block copolymer designed for controlled folding was examined at the single molecule level with excitation polarization spectroscopy, revealing not only the robustness of the folding functionality, but also that the resulting folds spaced the chromophores far enough apart to severely limit interactions between them. Shifting to a different class of energy materials, single perylene diimide (PDI) aggregates were then formed with solvent vapor annealing (SVA) and studied with fluorescence microscopy. These experiments revealed a vast heterogeneity amongst small aggregates as well as provided strong evidence for emissive excited states with triplet character occurring even in small aggregates. The final class of material studied was a Ruddlesden-Popper phase quasi-2D organolead halide perovskite. Confocal fluorescence microscopy was utilized to image film degradation in the presence of moisture, and provided insights into the mechanism behind moisture-driven surface crystallite growth. Taken together these experiments demonstrate the power of fluorescence microscopy to advance the understanding of energy materials systems by examining small scale heterogeneity.
Additional file 1 of Portuguese version of the Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP): psychometric validation and prospective application for early functional outcomes at a single institution
Creators: name: Lourenço, Danilo B.
name: Breno Santos Amaral
name: Alfer-Junior, Wladimir
name: Vasconcellos, Ana
name: Russo, Fernanda
name: Sanchez-Salas, Rafael
name: Bianco, Bianca
name: Wagner, Andrew A.
name: Chang, Peter
name: Moschovas, Marcio Covas
name: Lemos, Gustavo Caserta
name: Carneiro, Arie
Publisher: name: figshare
Year: 2020
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer

description: Additional file 1. The EPIC-CP Portuguese version.
Skincure: An Innovative Smart Phone-Based Application To Assist In Melanoma Early Detection And Prevention
Creators: name: Abuzaghleh, Omar
name: Faezipour, Miad
name: Barkana, Buket D.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma. Further investigations have shown that the survival rates in patients depend on the stage of the infection; early detection and intervention of melanoma implicates higher chances of cure. Clinical diagnosis and prognosis of melanoma is challenging since the processes are prone to misdiagnosis and inaccuracies due to doctors subjectivity. This paper proposes an innovative and fully functional smart-phone based application to assist in melanoma early detection and prevention. The application has two major components; the first component is a real-time alert to help users prevent skin burn caused by sunlight; a novel equation to compute the time for skin to burn is thereby introduced. The second component is an automated image analysis module which contains image acquisition, hair detection and exclusion, lesion segmentation, feature extraction, and classification. The proposed system exploits PH2 Dermoscopy image database from Pedro Hispano Hospital for development and testing purposes. The image database contains a total of 200 dermoscopy images of lesions, including normal, atypical, and melanoma cases. The experimental results show that the proposed system is efficient, achieving classification of the normal, atypical and melanoma images with accuracy of 96.3%, 95.7% and 97.5%, respectively.
description: appears in Signal & Image Processing : An International Journal (SIPIJ) Vol.5, No.6, December 2014
(501286) John Greig
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
(501287) Elizabeth Trew
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
Efficient labeling of solar flux evolution videos by a deep learning model
Creators: name: Chatterjee, Subhamoy
name: Muñoz-Jaramillo, Andrés
name: Lamb, Derek A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Machine learning (ML) is becoming a critical tool for interrogation of large complex data. Labeling, defined as the process of adding meaningful annotations, is a crucial step of supervised ML. However, labeling datasets is time consuming. Here we show that convolutional neural networks (CNNs), trained on crudely labeled astronomical videos, can be leveraged to improve the quality of data labeling and reduce the need for human intervention. We use videos of the solar magnetic field, crudely labeled into two classes: emergence or non-emergence of bipolar magnetic regions (BMRs), based on their first detection on the solar disk. We train CNNs using crude labels, manually verify, correct labeling vs. CNN disagreements, and repeat this process until convergence. Traditionally, flux emergence labelling is done manually. We find that a high-quality labeled dataset, derived through this iterative process, reduces the necessary manual verification by 50%. Furthermore, by gradually masking the videos and looking for maximum change in CNN inference, we locate BMR emergence time without retraining the CNN. This demonstrates the versatility of CNNs for simplifying the challenging task of labeling complex dynamic events.
description: 16 pages, 7 figures, published in Nature Astronomy, June 27, 2022
Additional file 2 of Portuguese version of the Expanded Prostate Cancer Index Composite for Clinical Practice (EPIC-CP): psychometric validation and prospective application for early functional outcomes at a single institution
Creators: name: Lourenço, Danilo B.
name: Breno Santos Amaral
name: Alfer-Junior, Wladimir
name: Vasconcellos, Ana
name: Russo, Fernanda
name: Sanchez-Salas, Rafael
name: Bianco, Bianca
name: Wagner, Andrew A.
name: Chang, Peter
name: Moschovas, Marcio Covas
name: Lemos, Gustavo Caserta
name: Carneiro, Arie
Publisher: name: figshare
Year: 2020
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer

description: Additional file 2. The EPIC-CP original version.
ОСОБЕННОСТИ ОРГАНИЗАЦИИ ОКАЗАНИЯ МЕДИЦИНСКОЙ ПОМОЩИ ПОСТРАДАВШИМ В ДОРОЖНО-ТРАНСПОРТНЫХ ПРОИСШЕСТВИЯХ В РЕГИОНАХ РОССИИ С НИЗКОЙ ПЛОТНОСТЬЮ НАСЕЛЕНИЯ
Creators: name: Лукашов А.Г.
name: Кубасов Р.В.
name: Баранов А.В.
Publisher: name: Политравма
Year: 2020
Subjects: дорожно-транспортные происшествия; дорожно-транспортный травматизм; политравма; регионы России с низкой плотностью населения; Арктика

description: Цель – провести обзор данных отечественной и зарубежной литературы, посвященной организации оказания медицинской помощи пострадавшим в дорожно-транспортных происшествиях в регионах России с низкой плотностью населения для выявления особенностей и определения путей возможного ее совершенствования. Материалы и методы. Для достижения поставленной цели был проведен анализ результатов отечественных и зарубежных научных исследований, а также нормативно-правовых актов по проблематике организации оказания медицинской помощи пострадавшим в дорожно-транспортных происшествиях в регионах России с низкой плотностью населения. Поиск литературы проводился в специализированных научных поисковых системах eLibrary, PubMed, Scopus по ключевым словам: дорожно-транспортный травматизм, дорожно-транспортное происшествие, регионы с низкой плотностью населения, медицинская помощь, догоспитальный период, госпитальный период. Для анализа были отобраны научные статьи, опубликованные в период с 1990 по 2020 г. Ресурсы с устаревшей или недостоверной информацией были исключены, некоторые научные работы были обнаружены по ссылкам на статьи. Результаты. Отмечены основные климато-географические и медико-социальные характеристики исследуемых регионов и субъектов России с низкой плотностью населения, предопределяющие возникновение дорожно-транспортных происшествий с медицинскими последствиями и ухудшающие возможности своевременного и квалифицированного оказания медицинской помощи пострадавшим на всех этапах медицинской эвакуации. Выводы. Предложены пути совершенствования оказания медицинской помощи травмированным в дорожно-транспортных происшествиях в субъектах России с низкой плотностью населения. Выявлена необходимость наличия в регионе достаточного транспортного парка для выполнения санитарной эвакуации пострадавших, особенно авиамедицинского ее компонента, необходимость принятия и внедрения государством значительных социально-экономических мер для привлечения и закрепления медицинского персонала на этих территориях, а также внедрения в практическую деятельность данных субъектов системного регистра медико-санитарных последствий дорожно-транспортного травматизма в Российской Федерации.
title: Prekäre Beschäftigung und Neuordnung am Arbeitsmarkt
title: Expertise im Auftrag der Industriegewerkschaft Metall. Duisburg, September 2012
titleType: AlternativeTitle
Creators: name: Bosch, Gerhard
Publisher: name: DuEPublico: Duisburg-Essen Publications Online, University of Duisburg-Essen, Germany
Year: 2018

description: Die wichtigsten Ergebnisse im Überblick ...

• Auflösung der Arbeitsmarktordnung der Nachkriegszeit
• Zunahme schlecht bezahlter Arbeit
• Kombination geringer Löhne, Arbeitsplatzunsicherheit und schlechte Arbeitsbedingungen
• Tarifverträge und Mitbestimmung zahlen sich aus
• Niedriglöhne und atypische Jobs kein Sprungbrett in reguläre Arbeit
• Beschäftigungschancen gering Qualifizierter unverändert schlecht
• Hohe soziale Kosten für die Steuer- und Beitragszahler
• Tendenz zur Ausdehnung prekärer Arbeit – Schlechte verdrängt gute Arbeit
• Gründe für die Zunahme prekärer Arbeit
• Neue Ordnung auf dem Arbeitsmarkt notwendig
• Maßnahmebündel erforderlich
Identifying Pertinent Variables for Nonresponse Follow-Up Surveys. Lessons Learned from 4 Cases in Switzerland
Creators: name: Vandenplas, Caroline
name: Joye, Dominique
name: Staehli, Michèle
name: Pollien, Alexandre
Publisher: name: European Survey Research Association
Year: 2015
Subjects: Nonresponse; nonresponse bias; nornresponse survey, item reliability

description: All social surveys suffer from different types of errors, of which one of the most studied is non-response bias. Non-response bias is a systematic error that occurs because individuals differ in their accessibility and propensity to participate in a survey according to their own characteristics as well as those from the survey itself. The extent of the problem heavily depends on the correlation between response mechanisms and key survey variables. However, non-response bias is difficult to measure or to correct for due to the lack of relevant data about the whole target population or sample. In this paper, non-response follow-up surveys are considered as a possible source of information about non-respondents. Non-response follow-ups, however, suffer from two methodological issues: they themselves operate through a response mechanism that can cause potential non-response bias, and they pose a problem of comparability of measure, mostly because the survey design differs between main survey and non-response follow-up. In order to detect possible bias, the survey variables included in non-response surveys have to be related to the mechanism of participation, but not be sensitive to measurement effects due to the different designs. Based on accumulated experience of four similar non-response follow-ups, we studied the survey variables that fulfill these conditions. We differentiated socio-demographic variables that are measurement-invariant but have a lower correlation with non-response and variables that measure attitudes, such as trust, social participation, or integration in the public sphere, which are more sensitive to measurement effects but potentially more appropriate to account for the non-response mechanism. Our results show that education level, work status, and living alone, as well as political interest, satisfaction with democracy, and trust in institutions are pertinent variables to include in non-response follow-ups of general social surveys.
description: Survey Research Methods, Vol 9, No 3 (2015)
Suspended graphene devices with local gate control on an insulating substrate
Creators: name: Ong, Florian R.
name: Cui, Zheng
name: Yurtalan, Muhammet A.
name: Vojvodin, Cameron
name: Papaj, Michał
name: Orgiazzi, Jean-Luc F. X.
name: Deng, Chunqing
name: Bal, Mustafa
name: Lupascu, Adrian
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We present a fabrication process for graphene-based devices where a graphene monolayer is suspended above a local metallic gate placed in a trench. As an example we detail the fabrication steps of a graphene field-effect transistor. The devices are built on a bare high-resistivity silicon substrate. At temperatures of 77~K and below, we observe the field-effect modulation of the graphene resistivity by a voltage applied to the gate. This fabrication approach enables new experiments involving graphene-based superconducting qubits and nano-electromechanical resonators. The method is applicable to other two-dimensional materials.