cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The geography of eco-innovations and sustainability transitions: a systematic comparison
Creators: name: Hansmeier, Hendrik
name: Kroll, Henning
Publisher: name: Berlin : de Gruyter
Year: 2024
Subjects: subject: actors
subject: eco-innovations
subject: geography
subject: institutions
subject: sustainability transitions
subject: technologies
subject: Dewey Decimal Classification::300 | Sozialwissenschaften, Soziologie, Anthropologie::330 | Wirtschaft

description: The need to address environmental challenges through innovation-based transformative change has become more urgent than ever and the spatial dimension of pathways towards sustainability has attracted increasing scholarly interest. Over the last decade, research on environmentally oriented innovation has entered the geographical discourse from different directions. This paper starts with the premise that, among other contributions, two main directions of research can be identified within the current geographical discourse that do not yet interface much – a broad, yet conceptually more traditional debate on eco-innovation and a newer discourse around socio-technical transitions that adds a further perspective. Having justified this assumption by a short literature review, we perform a keyword-based literature search, which confirms that there are indeed two distinct bodies of literature and few studies to date that integrate features from both fields. Following this, an in-depth review of the sources clarifies the differences in perspective and the common object of analysis of the basic systemic elements of actors, institutions and technologies. While this juxtaposition illustrates why the two fields of research have hardly cross-fertilised each other so far, it also shows that they are in substance far from irreconcilable. On the contrary, the nuanced synthesis of research findings reveals numerous complementarities that constitute promising avenues for future geographical research. These are considered necessary to improve the understanding of the geography of innovation-based transitions towards sustainability.
title: Die zeitgenössische russische Literatur aus der Prager Perspektive
Creators: name: Harand, Marcela
Year: 2008

description: Meine Arbeit erläutert die Situation der russischen Exilschriftsteller, die in der Zwischenkriegszeit im tschechoslowakischen Exil lebten. Die meiste Aufmerksamkeit wurde dabei der Person A. Bém gewidmet. Die wichtigsten Methoden stellten Recherchen seiner Nachlässe in den Prager Archiven und Bibliotheken dar. Somit wurden noch nie veröffentlichte Dokumente mit den schon bekannten Informationen in diese Arbeit zusammengetragen.
Hybrid photometric redshifts for sources in the COSMOS and XMM-LSS fields
Creators: name: Hatfield, P. W.
name: Jarvis, M. J.
name: Adams, N.
name: Bowler, R. A. A.
name: Häußler, B.
name: Duncan, K. J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: In this paper we present photometric redshifts for 2.7 million galaxies in the XMM-LSS and COSMOS fields, both with rich optical and near-infrared data from VISTA and HyperSuprimeCam. Both template fitting (using galaxy and Active Galactic Nuclei templates within LePhare) and machine learning (using GPz) methods are run on the aperture photometry of sources selected in the Ks-band. The resulting predictions are then combined using a Hierarchical Bayesian model, to produce consensus photometric redshift point estimates and probability distribution functions that outperform each method individually. Our point estimates have a root mean square error of ~0.08-0.09, and an outlier fraction of ~3-4 percent when compared to spectroscopic redshifts. We also compare our results to the COSMOS2020 photometric redshifts, which contains fewer sources, but had access to a larger number of bands and greater wavelength coverage, finding that comparable photo-z quality can be achieved (for bright and intermediate luminosity sources where a direct comparison can be made). Our resulting redshifts represent the most accurate set of photometric redshifts (for a catalogue this large) for these deep multi-square degree multi-wavelength fields to date.
description: Published in MNRAS, 15 figures. Photo-z catalogue described in the paper available online here: https://entangled.physics.ox.ac.uk/index.php/s/T1NQAMardpoOQMQ
Additional file 1 of The effects of urine alkalinization on kidney function in critically ill patients with COVID-19: a proof-of-concept randomized clinical trial
Creators: name: Lumlertgul, Nuttha
name: Kellum, John A.
name: Powell-Tuck, Jonah
name: Mathew, Moncy
name: Sardiwal, Sunita
name: Ostermann, Marlies
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 1
Bayesian Inference and Prediction for Normal Distribution Based on Records
Creators: name: Asgharzadeh, Akbar
name: Valiollahi, Reza
name: Fallah, Adeleh
name: Nadarajah, Saralees
Publisher: name: Statistica
Year: 2018
Subjects: Bayesian prediction; Best linear unbiased estimators; Maximum likelihood estimators; Record data

description: Based on record data, the estimation and prediction problems for normal distribution have been investigated by several authors in the frequentist set up. However, these problems have not been discussed in the literature in the Bayesian context. The aim of this paper is to consider a Bayesian analysis in the context of record data from a normal distribution. We obtain Bayes estimators based on squared error and linear-exponential (Linex) loss functions. It is observed that the Bayes estimators can not be obtained in closed forms. We propose using an importance sampling method to obtain Bayes estimators. Further, the importance sampling method is also used to compute Bayesian predictors of future records. Finally, a real data analysis is presented for illustrative purposes and Monte Carlo simulations are performed to compare the performances of the proposed methods. It is shown that Bayes estimators and predictors are superior than frequentist estimators and predictors.
description: Statistica, Vol 78, No 1 (2018)
A Counting Process with Generalized Exponential Inter-Arrival Times
Creators: name: Bhattacharjee, Sahana
Publisher: name: Statistica
Year: 2018
Subjects: Inter-arrival times; Generalized Exponential distribution; Counting process; Hazard function; Dispersion

description: This paper introduces a new counting process which is based on Generalized Exponentially distributed inter-arrival times. The advantage of this new count model over the existing Poisson count model is that the hazard function of the inter arrival time distribution is non-constant, so that the distribution is duration dependent and hence, is able to model both under dispersed and over dispersed count data, as opposed to the exponentially distributed inter arrival time of the Poisson count model, which is not duration dependent and the corresponding count model is able to model only equidispersed data. Further, some properties of this model are explored. Simulation from this new model is performed to study the behavior of count probabilities, mean and variance of the model for different values of the parameter. Use of the proposed model is illustrated with the help of real life data sets on arrival times of patients at a clinic and on arrival times of customers at a departmental store.
description: Statistica, Vol 78, No 1 (2018)
Additional file 1 of Standards of care and determinants of women’s satisfaction with delivery services in Nepal: a multi-perspective analysis using data from a health facility-based survey
Creators: name: Tuladhar, Sabita
name: Delius, Maria
name: Siebeck, Matthias
name: Oberhauser, Cornelia
name: Paudel, Deepak
name: Rehfuess, Eva
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Additional file 1: Table S1. Weighted number and proportion of deliveries (including 95% CI) meeting the input, output, and all indicators by the standards of care, and the average score by the standards of care among all women observed and interviewed (n = 320). Table S2. (Weighted) bivariate logistic regression for assessing the factors associated with women’s satisfaction with normal low-risk delivery services (with Odds Ratio (OR) and 95% CI for OR).
Energy-Efficient Hybrid Offloading for Backscatter-Assisted Wirelessly Powered MEC with Reconfigurable Intelligent Surfaces
Creators: name: Zargari, S.
name: Tellambura, C.
name: Herath, S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We investigate a wireless power transfer (WPT)-based backscatter-mobile edge computing (MEC) network with a {reconfigurable intelligent surface (RIS)}.In this network, wireless devices (WDs) offload task bits and harvest energy, and they can switch between backscatter communication (BC) and active transmission (AT) modes. We exploit the RIS to maximize energy efficiency (EE). To this end, we optimize the time/power allocations, local computing frequencies, execution times, backscattering coefficients, and RIS phase shifts.} This goal results in a multi-objective optimization problem (MOOP) with conflicting objectives. Thus, we simultaneously maximize system throughput and minimize energy consumption via the Tchebycheff method, transforming into two single-objective optimization problems (SOOPs). For throughput maximization, we exploit alternating optimization (AO) to yield two sub-problems. For the first one, we derive closed-form resource allocations. For the second one, we design the RIS phase shifts via semi-definite relaxation, a difference of convex functions programming, majorization minimization techniques, and a penalty function for enforcing a rank-one solution. For energy minimization, we derive closed-form resource allocations. We demonstrate the gains over several benchmarks. For instance, with a $20$-element RIS, EE can be as high as 3 (Mbits/Joule), a 150\% improvement over the no-RIS case (achieving only 2 (Mbits/Joule)).
description: The final version of this paper was accepted by IEEE Transactions on Mobile Computing
title: Der Einfluss von Persönlichkeit (Tellegen’s Multidimensional Model), Lateralität (Handpräferenz und Handdominanz) und Digit Ratio (2D:4D) auf den sportlichen Erfolg im Leistungsfechten
Creators: name: Reimer, Barbara
Year: 2009

description: In den letzten Jahrzehnten hat sich im Bereich der psychologischen Grundlagenforschung ein stark expandierendes Forschungsgebiet herausgebildet: die 2D:4D-Forschung. Bis dato wurde diesem Phänomen bereits in nahezu 280 publizierten Studien nachgegangen. Rund 20 davon befassen sich mit dem, für die vorliegende Arbeit relevanten, Zusammenhang zwischen 2D:4D und sportlichem Erfolg. Sportfechten, eine Randsportart, die den typisch männlichen Zweikampf repräsentiert, scheint besonders geeignet, um sie mit dem, von pränatalen Testosteron-Konzentrationen geprägten, 2D:4D in Verbindung zu setzen. Ziel dieser Arbeit ist es, die Bedeutsamkeit des Fingerlängenverhältnisses 2D:4D in den Bereichen des Sports, der Persönlichkeits- und der Lateralitätsforschung zu untersuchen. Dazu wurde der Zusammenhang zwischen Sport und Persönlichkeit, und im Zuge dessen die vier erhobenen Persönlichkeitsmerkmale aus Tellegen’s Multidimensional Model, dargestellt. Weiters wurde auf Lateralitätsaspekte, insbesondere die Händigkeit und die Handdominanz (verwendete Inventare: Hand-Dominanz-Test und Coren Lateral Preference Inventory), eingegangen und dabei besonderes Augenmerk auf die Bedeutung der Händigkeit im Fechtsport gelegt. Großes Interesse galt insbesondere der Erforschung jener Hypothese, die den eindeutigen Beitrag von 2D:4D auf den sportlichen Erfolg zu klären versuchte. Die untersuchte Stichprobe bildeten 99 Leistungsfechter, die in der österreichischen Rangliste vertreten waren. Es wurde ihnen ein umfassender Fragebogen, der aus einem demographischen Teil, sowie der Kurzform des Multidimensional Personality Questionnaire (MPQ; Tellegen, 1982), dem Coren Lateral Preference Inventory (Coren, 1993) und dem Hand-Dominanz-Test (HDT; Steingrüber & Lienert, 1976) bestand, vorgegeben. Abschließend wurde mittels Scan der Handflächen das 2D:4D-Verhältnis festgehalten.
On Some Properties of the Beta Normal Distribution
Creators: name: Rêgo, L. C.
name: Cintra, R. J.
name: Cordeiro, G. M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistics Theory (math.ST)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Methodology (stat.ME)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The beta normal distribution is a generalization of both the normal distribution and the normal order statistics. Some of its mathematical properties and a few applications have been studied in the literature. We provide a better foundation for some properties and an analytical study of its bimodality. The hazard rate function and the limiting behavior are examined. We derive explicit expressions for moments, generating function, mean deviations using a power series expansion for the quantile function, and Shannon entropy.
description: 18 pages, 9 figures
The McDonald Normal Distribution
Creators: name: Cordeiro, G. M.
name: Cintra, R. J.
name: Rêgo, L. C.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: Statistics Theory (math.ST)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: A five-parameter distribution called the McDonald normal distribution is defined and studied. The new distribution contains, as special cases, several important distributions discussed in the literature, such as the normal, skew-normal, exponentiated normal, beta normal and Kumaraswamy normal distributions, among others. We obtain its ordinary moments, moment generating function and mean deviations. We also derive the ordinary moments of the order statistics. We use the method of maximum likelihood to fit the new distribution and illustrate its potentiality with three applications to real data.
description: 27 pages, 13 figures
sj-docx-2-msc-10.1177_09691413221109999 - Supplemental material for Acceptability of alternative technologies compared with faecal immunochemical test and/or colonoscopy in colorectal cancer screening: A systematic review
Creators: name: Ali, Omar
name: Gupta, Sunnia
name: Brain, Kate
name: Lifford, Kate J
name: Paranjothy, Shantini
name: Dolwani, Sunil
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111402 Obstetrics and Gynaecology
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-2-msc-10.1177_09691413221109999 for Acceptability of alternative technologies compared with faecal immunochemical test and/or colonoscopy in colorectal cancer screening: A systematic review by Omar Ali, Sunnia Gupta, Kate Brain, Kate J Lifford, Shantini Paranjothy and Sunil Dolwani in Journal of Medical Screening
Efficient and Self-Recursive Delay Vandermonde Algorithm for Multi-Beam Antenna Arrays
Creators: name: Perera, S. M.
name: Madanayake, A.
name: Cintra, R. J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: Numerical Analysis (math.NA)
subject: Applied Physics (physics.app-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: This paper presents a self-contained factorization for the delay Vandermonde matrix (DVM), which is the super class of the discrete Fourier transform, using sparse and companion matrices. An efficient DVM algorithm is proposed to reduce the complexity of radio-frequency (RF) $N$-beam analog beamforming systems. There exist applications for wideband multi-beam beamformers in wireless communication networks such as 5G/6G systems, system capacity can be improved by exploiting the improvement of the signal to noise ratio (SNR) using coherent summation of propagating waves based on their directions of propagation. The presence of a multitude of RF beams allows multiple independent wireless links to be established at high SNR, or used in conjunction with multiple-input multiple-output (MIMO) wireless systems, with the overall goal of improving system SNR and therefore capacity. To realize such multi-beam beamformers at acceptable analog circuit complexities, we use sparse factorization of the DVM in order to derive a low arithmetic complexity DVM algorithm. The paper also establishes an error bound and stability analysis of the proposed DVM algorithm. The proposed efficient DVM algorithm is aimed at implementation using analog realizations. For purposes of evaluation, the algorithm can be realized using both digital hardware as well as software defined radio platforms.
description: 25 pages, 2 figures
A Dual Resonant Transformer and a Dielectric Antenna for Picosecond Pulse Radiation
Creators: name: Huynh, Khiem
Publisher: name: Old Dominion University Libraries
Year: 2018

description: This thesis discusses the development of a pulsed power system for high power picosecond pulse radiation. In the system, a charging transformer, which generates a high voltage pulse of ~100 kV, can be used for charging a transmission line in less than 100 ns. Such a short pulse could cause a peak gap switch to break down and generate a picosecond pulse transient for radiation. A dielectric antenna, if fed with the high voltage picosecond pulses, can radiate them to targets made of high dielectric materials. Biological tissues, for instance, can be targeted for electrostimulation.

The transformer was designed considering the needs to deliver a high gain and fast output. We showed that a transformer in the dual resonant mode, in which the resonance of the primary and the second is equal, can produce a voltage gain of approximately 6. The output voltage of the transformer is more than 100kV with an input of 15kV. This shows the average gain of the transformer is 7. The fast output requires the voltage at the secondary winding needs to be less than 100 ns in order for achieving a picosecond transient in the oil peak switch. This was done by low-inductance windings with an air core. Two winding configurations were explored: a cylindrical winding and a toroidal winding. The cylindrical winding appears to be a better option in terms of the gain. Experimental results show that for a capacitive load (30pF), the voltage can be charged up to 33 kV in 20 ns.

A conical dielectric antenna was investigated through simulation and experiments. The antenna is made of a V-shape transmission line on a ceramic conical body with dielectric constant of 28. This antenna was immersed in transformer oil for high voltage insulation, which allowed for the feed voltage to be as high as 50 kV. The antenna was characterized by an electric field sensor immersed in water. We found that the emitted field increases as the voltage increases, but it reaches a saturation for 40 kV. The highest electric field is 1.5 kV/cm even for the input voltage 50 kV. This is 6 times less than simulation. We speculate that the discrepancy is caused by the dielectric tangent loss, which was not taken into account in the simulation.

Future work towards a complete system includes a choice of a linear dielectric material which is capable of sustaining its dielectric constant for a high electric field and the study of an oil peak switch, which is a critical component between the transformer and the antenna.
Additional file 2 of Standards of care and determinants of women’s satisfaction with delivery services in Nepal: a multi-perspective analysis using data from a health facility-based survey
Creators: name: Tuladhar, Sabita
name: Delius, Maria
name: Siebeck, Matthias
name: Oberhauser, Cornelia
name: Paudel, Deepak
name: Rehfuess, Eva
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Additional file 2: Fig. S1. Weighted proportion of deliveries meeting the 53 indicators among all women observed and interviewed arranged in descending order (n = 320).
Radix-2 Self-Recursive Sparse Factorizations of Delay Vandermonde Matrices for Wideband Multi-Beam Antenna Arrays
Creators: name: Perera, S. M.
name: Madanayake, A.
name: Cintra, R. J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: Numerical Analysis (math.NA)
subject: Applied Physics (physics.app-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: This paper presents a self-contained factorization for the Vandermonde matrices associated with true-time delay based wideband analog multi-beam beamforming using antenna arrays. The proposed factorization contains sparse and orthogonal matrices. Novel self-recursive radix-2 algorithms for Vandermonde matrices associated with true time delay based delay-sum filterbanks are presented to reduce the circuit complexity of multi-beam analog beamforming systems. The proposed algorithms for Vandermonde matrices by a vector attain $\mathcal{O}(N \log N)$ delay-amplifier circuit counts. Error bounds for the Vandermode matrices associated with true-time delay are established and then analyzed for numerical stability. The potential for real-world circuit implementation of the proposed algorithms will be shown through signal flow graphs that are the starting point for high-frequency analog circuit realizations.
description: 20 pages, 1 figure
Additional file 1 of Characterization of a recombinant Sendai virus vector encoding the small ruminant lentivirus gag-P25: antiviral properties in vitro and transgene expression in sheep
Creators: name: Gómez, Álex
name: Glaria, Idoia
name: Moncayola, Irati
name: Echeverría, Irache
name: Arrizabalaga, Javier
name: Rodríguez-Largo, Ana
name: de Blas, Ignacio
name: Lacasta, Delia
name: Pérez, Estela
name: Pérez, Marta
name: De Diego, Alicia
name: De-Miguel, Ricardo
name: Lee, Benhur
name: Luján, Lluís
name: Reina, Ramsés
Publisher: name: figshare
Year: 2025
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1. Primer and probe sequences used in the study.
Core-periphery Models for Hypergraphs
Creators: name: Papachristou, Marios
name: Kleinberg, Jon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We introduce a random hypergraph model for core-periphery structure. By leveraging our model's sufficient statistics, we develop a novel statistical inference algorithm that is able to scale to large hypergraphs with runtime that is practically linear wrt. the number of nodes in the graph after a preprocessing step that is almost linear in the number of hyperedges, as well as a scalable sampling algorithm. Our inference algorithm is capable of learning embeddings that correspond to the reputation (rank) of a node within the hypergraph. We also give theoretical bounds on the size of the core of hypergraphs generated by our model. We experiment with hypergraph data that range to $\sim 10^5$ hyperedges mined from the Microsoft Academic Graph, Stack Exchange, and GitHub and show that our model outperforms baselines wrt. producing good fits.
description: Accepted at as a research track paper at KDD 2022
National Election Pool Poll # 2006-STELEC-TX: Texas Election Day Exit Poll
Creators: name: ABC News
name: Associated Press
name: CBS News
name: CNN
name: Fox News
name: National Election Pool (NEP)
name: NBC News
Publisher: name: Roper Center for Public Opinion Research
Year: 2007

description: For whom did respondent just vote in the Senatorial election (1); for whom did respondent just vote in the Senatorial election (1); illegal immigrants working in U.S. should be deported/offered chance to apply for legal status (1); whether building a fence along US-Mexico border will reduce immigration (1); George W. Bush job performance (1); Rick Perry job performance (1); importance of issue in vote for U.S. Senator (4); war in Iraq (1); Chris Bell vs. Rick Perry (1).
Additional file 1 of An app to keep: smartphone-based dispatch of community first responder to cardiac arrest
Creators: name: Marks, Tore
name: Metelmann, Bibiana
name: Brinkrolf, Peter
name: Thies, Karl Christian
name: Hahnenkamp, Klaus
name: Metelmann, Camilla
Publisher: name: figshare
Year: 2025
Subjects: Biological Sciences not elsewhere classified
Science Policy

description: Supplementary Material 1
sj-pdf-1-pss-10.1177_09567976221102070 – Supplemental material for Real-World Exploration Increases Across Adolescence and Relates to Affect, Risk Taking, and Social Connectivity
Creators: name: Saragosa-Harris, Natalie M.
name: Cohen, Alexandra O.
name: Reneau, Travis R.
name: Villano, William J.
name: Heller, Aaron S.
name: Hartley, Catherine A.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, sj-pdf-1-pss-10.1177_09567976221102070 for Real-World Exploration Increases Across Adolescence and Relates to Affect, Risk Taking, and Social Connectivity by Natalie M. Saragosa-Harris, Alexandra O. Cohen, Travis R. Reneau, William J. Villano, Aaron S. Heller and Catherine A. Hartley in Psychological Science
Additional file 1 of Can single progesterone concentration predict miscarriage in early pregnant women with threatened miscarriage: a systematic review and meta-analysis
Creators: name: Gong, Yi
name: Jiang, Tong
name: Sun, Yang
name: Wu, Guo-Lin
name: Han, Bu-Wei
name: Shi, Ying
name: Guan, Shan
name: Li, Jian
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Supplementary Material 1
Supplemental Material - Long-term conditions, multimorbidity and colorectal cancer risk in the UK Biobank cohort
Creators: name: Corcoran, Neave ME
name: Mair, Frances S
name: Nicholl, Barbara
name: Macdonald, Sara
name: Jani, Bhautesh Dinesh
Publisher: name: SAGE Journals
Year: 2022
Subjects: Medicine

description: Supplementary Material for Long-term conditions, multimorbidity and colorectal cancer risk in the UK Biobank cohort by Neave ME Corcoran, Frances S Mair, Barbara Nicholl, Sara Macdonald, and Bhautesh Dinesh Jani in Journal of Multimorbidity and Comorbidity.
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
Creators: name: Zhang, Yinghao
name: Hu, Yue
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: I.4.5; I.2.6; I.4.1

description: Low-rank tensor models have been applied in accelerating dynamic magnetic resonance imaging (dMRI). Recently, a new tensor nuclear norm based on t-SVD has been proposed and applied to tensor completion. Inspired by the different properties of the tensor nuclear norm (TNN) and the Casorati matrix nuclear norm (MNN), we introduce a combined TNN and Casorati MNN regularizations framework to reconstruct dMRI, which we term as TMNN. The proposed method simultaneously exploits the spatial structure and the temporal correlation of the dynamic MR data. The optimization problem can be efficiently solved by the alternating direction method of multipliers (ADMM). In order to further improve the computational efficiency, we develop a fast algorithm under the Cartesian sampling scenario. Numerical experiments based on cardiac cine MRI and perfusion MRI data demonstrate the performance improvement over the traditional Casorati nuclear norm regularization method.
description: 4 pages, 3 figures, 1 table, accepted in IEEE ISBI 2022
Additional file 1 of Assessing geographic polarisation in Britain’s digital landscape through stable dynamic embedding of spatial web data
Creators: name: Dilworth, Emerald
name: Tranos, Emmanouil
name: Lawson, Daniel J.
Publisher: name: figshare
Year: 2025
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Mathematical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Supplementary information of an Appendix and a Simulated Example accompanies this paper (PDF 364 kB)
Locloud D5.1.2: Periodic Report On Content Ingestion (Month 18)
Creators: name: Urtegaard, Gunnar
name: Fernie, Kate
name: Bergheim, Runar
name: Alfreider, Silvia
Publisher: name: Zenodo
Year: 2014
Subjects: LoCloud "content ingestion"

description: LoCloud WP5's goals are to:

1. Monitor the achievement of the objectives of LoCloud and their impact on the user communities

2. Monitor and evaluate the amount, types and quality of metadata and content being provided to Europeana by LoCloud

This deliverable focuses on the monitoring of the preparation and ingestion of metadata during the various phases of the project.

UPDATE August 2014
description: LoCloud was funded by the European Commission's ICT Policy Support Programme. Grant Agreement number: 325099
Additional file 2 of Can single progesterone concentration predict miscarriage in early pregnant women with threatened miscarriage: a systematic review and meta-analysis
Creators: name: Gong, Yi
name: Jiang, Tong
name: Sun, Yang
name: Wu, Guo-Lin
name: Han, Bu-Wei
name: Shi, Ying
name: Guan, Shan
name: Li, Jian
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Supplementary Material 2
Additional file 3 of Can single progesterone concentration predict miscarriage in early pregnant women with threatened miscarriage: a systematic review and meta-analysis
Creators: name: Gong, Yi
name: Jiang, Tong
name: Sun, Yang
name: Wu, Guo-Lin
name: Han, Bu-Wei
name: Shi, Ying
name: Guan, Shan
name: Li, Jian
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Supplementary Material 3
Additional file 1 of CNPY3’s regulation of tumor microenvironment and its impact on colon cancer aggressiveness
Creators: name: Gao, Xucan
name: Zhou, Biaohuan
name: Feng, Xiudong
name: Ji, Zhouxin
name: Li, Qiang
name: Liu, Huining
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Supplementary Material 1
Statistical Inference for the Reliability Functions of a Family of Lifetime Distributions based on Progressive Type II Right Censoring
Creators: name: Chaturvedi, Ajit
name: Kumar, Narendra
name: Kumar, Kapil
Publisher: name: Statistica
Year: 2018
Subjects: Progressive type II right censoring; Uniformly minimum variance unbiased estimation; Maximum likelihood estimation; Invariantly optimal estimator; Testing procedures

description: In this article, a general family of lifetime distributions is considered under progressive type II right censoring. The classical point estimation and testing procedures are developed for reliability function and stress-strength reliability. The uniformly minimum variance unbiased, maximum likelihood and invariantly optimal estimators are considered. Testing procedures are developed for the hypotheses related to scale parameter, reliability and stress-strength reliability functions. A Monte Carlo simulation study is performed for comparison of various estimators developed. Finally, the use of proposed estimators is shown in an illustrative example.
description: Statistica, Vol 78, No 1 (2018)
Additional file 2 of CNPY3’s regulation of tumor microenvironment and its impact on colon cancer aggressiveness
Creators: name: Gao, Xucan
name: Zhou, Biaohuan
name: Feng, Xiudong
name: Ji, Zhouxin
name: Li, Qiang
name: Liu, Huining
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Supplementary Material 2
Photoresponsive self-assembled nanomaterials for on-demand drug delivery
Creators: name: Fong, Wye Khay
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: On-demand drug delivery systems have the potential to optimise drug delivery by allowing drug administration as required. Lipid-based liquid crystalline matrices (LC) are increasingly explored as a means of controlled release drug delivery due to their biocompatibility and ability to incorporate and control the release drugs of a wide ranging size and polarity. The rate at which drug is released is ultimately determined by the mesophase nanostructure. This inbuilt ‘on-off’ switch for drug release affords the opportunity to manipulate drug delivery by influencing lipid packing by e.g. changing temperature. The utilisation of advanced synchrotron SAXS has allowed for the understanding of mechanisms by which transformations between lipid self-assembled structures take place. Understanding these interactions is essential in the development of self-assembled matrices for many bioapplications. Light-activated drug delivery systems have potential to provide a selective and non-invasive approach to accessing tissues that are not amenable to direct treatment. This thesis presents LC matrices which have been rendered light responsive by incorporation of additives that alter lipid packing upon irradiation and the effect of manipulating nanostructure on the release of drug from these matrices. Two approaches have been taken: 1. Photothermal Gold nanorods were incorporated into LC matrices and irradiation with near infrared laser light induced reversible thermotropic phase transitions via a photothermal effect. 2. Photochromic Photochromic compounds that undergo isomerisation in response to irradiation were incorporated into liquid crystalline systems where UV light induced a steric disturbance in the liquid crystalline nanostructure. The potential of these optically addressable nanostructures as reversible ‘on-demand’ drug delivery systems will translate into novel treatments for diseases such as macular degeneration.
 Awards: Vice-Chancellor’s Commendation for Doctoral Thesis Excellence in 2013.
Inference Based on k-Record Values from Generalized Exponential Distribution
Creators: name: Chacko, Manoj
name: Muraleedharan, Laji
Publisher: name: Statistica
Year: 2018
Subjects: k-record values; Bayesian estimation; MCMC method; Prediction interval

description: In this paper, the lower k-record values arising from a two parameter generalized exponential distribution is considered. The maximum likelihood estimators for the shape parameter and scale parameter are obtained. The Bayes estimates of the parameters are also developed by using Markov chain Monte Carlo method under symmetric and asymmetric loss functions. Finally, a simulation study is performed to find the performance of different estimators developed in this paper.
description: Statistica, Vol 78, No 1 (2018)
A rare case of emphysematous hepatitis with spontaneous pneumoperitoneum
Creators: name: Faustino, Madalena
Publisher: name: EURORAD
Year: 2017
Subjects: subject: Abdomen
subject: CT
subject: Ultrasound
subject: Diagnostic procedure
subject: Infection

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 78 years
description: Clinical History: A 78-year-old female without relevant past medical history presented with symptoms of upper right quadrant pain, nausea and fever. On admission she was conscious and the physical exam revealed jaundice and fever (39, 5ÃÂºC). Laboratory assays showed metabo... Final Diagnosis: Emphysematous hepatitis with spontaneous pneumoperitoneum
Additional file 1 of Incidence of mortality and its predictors among HIV-infected children receiving antiretroviral therapy in Amhara region: a multicenter retrospective follow-up study
Creators: name: Mekonnen, Gebrehiwot Berie
name: Mulatu, Sileshi
name: Legesse, Bruck Tesfaye
name: Messelu, Mengistu Abebe
name: Baye, Fikadie Dagnew
name: Tilaye, Birara Ayichew
name: Fekadie, Mengistu Melak
name: Demile, Tiruye Azene
name: Belayneh, Asnake Gashaw
name: Mamo, Sosina Tamre
name: Tsehay, Yeshimebet Tamir
name: Adal, Ousman
name: Haile, Betelhem Amha
name: Munie, Birhanu Mengist
name: Amare, Abraham Tsedalu
name: Belay, Bekalu Mekonen
name: Wondie, Wubet Tazeb
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Supplementary Material 1
Additional file 4 of Can single progesterone concentration predict miscarriage in early pregnant women with threatened miscarriage: a systematic review and meta-analysis
Creators: name: Gong, Yi
name: Jiang, Tong
name: Sun, Yang
name: Wu, Guo-Lin
name: Han, Bu-Wei
name: Shi, Ying
name: Guan, Shan
name: Li, Jian
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Supplementary Material 4
Additional file 2 of Incidence of mortality and its predictors among HIV-infected children receiving antiretroviral therapy in Amhara region: a multicenter retrospective follow-up study
Creators: name: Mekonnen, Gebrehiwot Berie
name: Mulatu, Sileshi
name: Legesse, Bruck Tesfaye
name: Messelu, Mengistu Abebe
name: Baye, Fikadie Dagnew
name: Tilaye, Birara Ayichew
name: Fekadie, Mengistu Melak
name: Demile, Tiruye Azene
name: Belayneh, Asnake Gashaw
name: Mamo, Sosina Tamre
name: Tsehay, Yeshimebet Tamir
name: Adal, Ousman
name: Haile, Betelhem Amha
name: Munie, Birhanu Mengist
name: Amare, Abraham Tsedalu
name: Belay, Bekalu Mekonen
name: Wondie, Wubet Tazeb
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Supplementary Material 2
sj-docx-1-taj-10.1177_20406223221122478 – Supplemental material for Association of NAFLD with cardiovascular disease and all-cause mortality: a large-scale prospective cohort study based on UK Biobank
Creators: name: Ma, Wen
name: Wu, Wentao
name: Wen, Weixing
name: Xu, Fengshuo
name: Han, Didi
name: Lyu, Jun
name: Huang, Yuli
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Cardiology
subject: Endocrinology
subject: Geriatrics and Gerontology
subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Aged Health Care
subject: Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: Psychology not elsewhere classified
subject: Psychiatry (incl. Psychotherapy)
subject: Respiratory Diseases

description: Supplemental material, sj-docx-1-taj-10.1177_20406223221122478 for Association of NAFLD with cardiovascular disease and all-cause mortality: a large-scale prospective cohort study based on UK Biobank by Wen Ma, Wentao Wu, Weixing Wen, Fengshuo Xu, Didi Han, Jun Lyu and Yuli Huang in Therapeutic Advances in Chronic Disease
sj-docx-1-epx-10.1177_08959048221120279 – Supplemental material for Intermediary Public Policy Organizations and the Discursive Evasion of Systemic Racism and Racialized Violence
Creators: name: McCoy-Simmons, Casey
name: Orphan, Cecilia M.
name: Gándara, Denisa
Publisher: name: SAGE Journals
Year: 2022
Subjects: Education

description: Supplemental material, sj-docx-1-epx-10.1177_08959048221120279 for Intermediary Public Policy Organizations and the Discursive Evasion of Systemic Racism and Racialized Violence by Casey McCoy-Simmons, Cecilia M. Orphan and Denisa Gándara in Educational Policy
Additional file 3 of Incidence of mortality and its predictors among HIV-infected children receiving antiretroviral therapy in Amhara region: a multicenter retrospective follow-up study
Creators: name: Mekonnen, Gebrehiwot Berie
name: Mulatu, Sileshi
name: Legesse, Bruck Tesfaye
name: Messelu, Mengistu Abebe
name: Baye, Fikadie Dagnew
name: Tilaye, Birara Ayichew
name: Fekadie, Mengistu Melak
name: Demile, Tiruye Azene
name: Belayneh, Asnake Gashaw
name: Mamo, Sosina Tamre
name: Tsehay, Yeshimebet Tamir
name: Adal, Ousman
name: Haile, Betelhem Amha
name: Munie, Birhanu Mengist
name: Amare, Abraham Tsedalu
name: Belay, Bekalu Mekonen
name: Wondie, Wubet Tazeb
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Supplementary Material 3
sj-pdf-1-aje-10.1177_10982140211071017 - Supplemental material for Program Value-Added: A Feasible Method for Providing Evidence on the Effectiveness of Multiple Programs Implemented Simultaneously in Schools
Creators: name: Shand, Robert
name: M. Leach, Stephen
name: M. Hollands, Fiona
name: Chang, Florence
name: Pan, Yilin
name: Yan, Bo
name: Dossett, Dena
name: Nayyer-Qureshi, Samreen
name: Wang, Yixin
name: Head, Laura
Publisher: name: SAGE Journals
Year: 2022
Subjects: Sociological Methodology and Research Methods

description: Supplemental material, sj-pdf-1-aje-10.1177_10982140211071017 for Program Value-Added: A Feasible Method for Providing Evidence on the Effectiveness of Multiple Programs Implemented Simultaneously in Schools by Robert Shand, Stephen M. Leach, Fiona M. Hollands, Florence Chang, Yilin Pan, Bo Yan, Dena Dossett, Samreen Nayyer-Qureshi, Yixin Wang and Laura Head in American Journal of Evaluation
sj-docx-2-pie-10.1177_09544089221124288 - Supplemental material for Development of predictive models for density of hybrid nanofluids using different machine learning techniques
Creators: name: Gupta, Amit Kumar
name: Mathur, Priya
name: Opeyemi Oyedeji, Mojeed
name: Olanrewaju Alade, Ibrahim
name: Qahtan, Talal F
name: Gupta, Sparsh
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-docx-2-pie-10.1177_09544089221124288 for Development of predictive models for density of hybrid nanofluids using different machine learning techniques by Amit Kumar Gupta, Priya Mathur, Mojeed Opeyemi Oyedeji, Ibrahim Olanrewaju Alade, Talal F Qahtan and Sparsh Gupta in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Co-UDlabs: promoviendo la investigación e innovación en los sistemas de drenaje urbano
Creators: name: Anta Álvarez, Jose
name: Puertas Agudo, Jerónimo
name: Cea Gómez, Luís
name: Suárez López, Joaquín
name: Naves García-Rendueles, Juan
name: Regueiro Picallo, Manuel
name: Pimiento Avella, María Alejandra
name: Ciambra, Andrea
Publisher: name: Zenodo
Year: 2024
Subjects: Sistemas de Drenaje Urbano
investigación e innovación
monitorización
grandes infraestructuras de investigación
urban drainage
urban drainage system
research and innovation
monitoring
large research infrastructure

description: This paper presents the work developed by the Water and Environmental Engineering Group (GEAMA) of the Universidade da Coruña (UDC) within the framework of the European project Co-UDlabs. Sewer and urban drainage systems are critical infrastructures that are facing major challenges such as the increased risk of flooding, the aging and deterioration of their assets, or the growing need to control pollution in rainy weather. Nowadays it is necessary to foster innovation and research to address these problems. In this context, large-scale research infrastructures are essential to test and validate new technologies and procedures prior to their full-scale implementation. In this context, the UDC team is developing new technologies for the use of artificial vision for hydraulic and pollutant monitoring, systems based on temperature sensors to estimate sediment accumulation or new methods for the analysis of clogging of permeable pavements.
Supplementary Material 1 - Supplemental material for Alopecia Areata Related Paradoxical Reactions in Patients on Dupilumab Therapy: A Systematic Review
Creators: name: Sachdeva, Muskaan
name: Witol, Adrian
name: Mufti, Asfandyar
name: Maliyar, Khalad
name: Yeung, Jensen
Publisher: name: SAGE Journals
Year: 2022
Subjects: Medicine

description: Supplemental material, Supplementary Material 1, for Alopecia Areata Related Paradoxical Reactions in Patients on Dupilumab Therapy: A Systematic Review by Muskaan Sachdeva, Adrian Witol, Asfandyar Mufti, Khalad Maliyar and Jensen Yeung in Journal of Cutaneous Medicine and Surgery
Additional file 1 of Low parental income level is associated with pediatric COVID-19 vaccine hesitancy in the San Francisco Bay area
Creators: name: Takou Mbah, Overbeck Christian
name: Goodman, Sara H.
name: Maldonado, Yvonne
name: Bollyky, Jennifer
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Supplementary Material 1