cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models
Creators: name: Hillebrand, Eric
name: Medeiros, Marcelo C.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: Medicine
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: We study the simultaneous occurrence of long memory and nonlinear effects, such as parameter changes and threshold effects, in time series models and apply our modeling framework to daily realized measures of integrated variance. We develop asymptotic theory for parameter estimation and propose two model-building procedures. The methodology is applied to stocks of the Dow Jones Industrial Average during the period 2000 to 2009. We find strong evidence of nonlinear effects in financial volatility. An out-of-sample analysis shows that modeling these effects can improve forecast performance. Supplementary materials for this article are available online.
Wald-type Testing and Estimation Methods for Asymmetric Comparisons of Poisson Rates
Creators: name: Bright, Brianna C.
name: Soulakova, Julia N.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Earth and Environmental Sciences
subject: Biotechnology

description: The considered problem deals with asymmetric comparisons, i.e., instances where one treatment serves as compelling standard treatment for a certain disease or health condition, where the asymmetric comparisons are performed in terms of the Poisson rates. We propose asymptotic Wald-type tests and confidence intervals suitable for demonstrating superiority and non-inferiority for a given margin. The testing methods for the difference and ratio are based on the unconstrained (MLE) and constrained (CMLE) maximum likelihood estimator. The resulting CMLE-based tests for asymmetric comparisons are equivalent to the standard (i.e., those for symmetric comparisons) CMLE-based tests. The asymmetric tests as well as the standard MLE-based tests are evaluated via simulations. The CMLE-based asymmetric tests are shown to adequately control the Type I error in most settings, while the MLE-based asymmetric tests are shown to have this property only in settings with relatively large sample sizes and means. In all settings, the MLE-based asymmetric tests are more powerful than both the asymmetric CMLE-based and the standard MLE-based tests. We also propose asymptotic confidence intervals that can be used to estimate the difference or ratio of the two rates (the presentation of this content includes supplementary material that is available online), and discuss how power and sample size estimation can be done to aid in study planning.
Using the Projected Belief Network at High Dimensions
Creators: name: Baggenstoss, Paul M
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: FOS: Computer and information sciences

description: The projected belief network (PBN) is a layered generative network (LGN) with tractable likelihood function, and is based on a feed-forward neural network (FFNN). There are two versions of the PBN: stochastic and deterministic (D-PBN), and each has theoretical advantages over other LGNs. However, implementation of the PBN requires an iterative algorithm that includes the inversion of a symmetric matrix of size M X M in each layer, where M is the layer output dimension. This, and the fact that the network must be always dimension-reducing in each layer, can limit the types of problems where the PBN can be applied. In this paper, we describe techniques to avoid or mitigate these restrictions and use the PBN effectively at high dimension. We apply the discriminatively aligned PBN (PBN-DA) to classifying and auto-encoding high-dimensional spectrograms of acoustic events. We also present the discriminatively aligned D-PBN for the first time.
Additional file 1 of Disruption of hospital care during the first year of the COVID-19 pandemic impacted socioeconomic groups differently: population based study using routine registration data
Creators: name: Jansen, Tessa
name: Gouwens, Sigur
name: Meijerink, Lotta
name: Meulman, Iris
name: Kouwenberg, Lisanne H. J. A.
name: de Wit, G. Ardine
name: Polder, Johan J.
name: Kunst, Anton E.
name: Uiters, Ellen
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy

description: Supplementary material 1.
Towards a Green Quotient for Software Projects
Creators: name: Mehra, Rohit
name: Sharma, Vibhu Saujanya
name: Kaulgud, Vikrant
name: Podder, Sanjay
name: Burden, Adam P.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: As sustainability takes center stage across businesses, green and energy-efficient choices are more crucial than ever. While it is becoming increasingly evident that software and the software industry are substantial and rapidly evolving contributors to carbon emissions, there is a dearth of approaches to create actionable awareness about this during the software development lifecycle (SDLC). Can software teams comprehend how green are their projects? Here we provide an industry perspective on why this is a challenging and worthy problem that needs to be addressed. We also outline an approach to quickly gauge the "greenness" of a software project based on the choices made across different SDLC dimensions and present the initial encouraging feedback this approach has received.
description: 2 pages. To be published in the proceedings of 44th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP '22), May 21-29, 2022, Pittsburgh, PA, USA
Relevance-based Margin for Contrastively-trained Video Retrieval Models
Creators: name: Falcon, Alex
name: Sudhakaran, Swathikiran
name: Serra, Giuseppe
name: Escalera, Sergio
name: Lanz, Oswald
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Video retrieval using natural language queries has attracted increasing interest due to its relevance in real-world applications, from intelligent access in private media galleries to web-scale video search. Learning the cross-similarity of video and text in a joint embedding space is the dominant approach. To do so, a contrastive loss is usually employed because it organizes the embedding space by putting similar items close and dissimilar items far. This framework leads to competitive recall rates, as they solely focus on the rank of the groundtruth items. Yet, assessing the quality of the ranking list is of utmost importance when considering intelligent retrieval systems, since multiple items may share similar semantics, hence a high relevance. Moreover, the aforementioned framework uses a fixed margin to separate similar and dissimilar items, treating all non-groundtruth items as equally irrelevant. In this paper we propose to use a variable margin: we argue that varying the margin used during training based on how much relevant an item is to a given query, i.e. a relevance-based margin, easily improves the quality of the ranking lists measured through nDCG and mAP. We demonstrate the advantages of our technique using different models on EPIC-Kitchens-100 and YouCook2. We show that even if we carefully tuned the fixed margin, our technique (which does not have the margin as a hyper-parameter) would still achieve better performance. Finally, extensive ablation studies and qualitative analysis support the robustness of our approach. Code will be released at \url{https://github.com/aranciokov/RelevanceMargin-ICMR22}.
description: Accepted for presentation at International Conference on Multimedia Retrieval (ICMR '22)
MovieMat: Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting
Creators: name: Wang, Hao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Movie Recommender System is widely applied in commercial environments such as NetFlix and Tubi. Classic recommender models utilize technologies such as collaborative filtering, learning to rank, matrix factorization and deep learning models to achieve lower marketing expenses and higher revenues. However, audience of movies have different ratings of the same movie in different contexts. Important movie watching contexts include audience mood, location, weather, etc. Tobe able to take advantage of contextual information is of great benefit to recommender builders. However, popular techniques such as tensor factorization consumes an impractical amount of storage, which greatly reduces its feasibility in real world environment. In this paper, we take advantage of the MatMat framework, which factorizes matrices by matrix fitting to build a context-aware movie recommender system that is superior to classic matrix factorization and comparable in the fairness metric.
description: ICCC 2021
Notes
Creators: name: Renn, DF
name: M Munby, Lionel
Publisher: name: Archaeology Data Service
Year: 2025

description: Transactions of the East Hertfordshire Archaeological Society, 14.1, 70-74
description: A Medieval Site at Cottons, Barnet; The Population of Hertfordshire before 1801; The Early History of Parliamentary Politics in Hertfordshire; The Household Accounts of Theobalds and Gorhambury; Economic Changes in King's Langley in the late sixteenth century
Bulk viscosity of liquid noble gases
Creators: name: Chatwell, René Spencer
name: Vrabec, Jadran
Publisher: name: Technische Universität Berlin
Year: 2020
Subjects: subject: DDC::500 Naturwissenschaften und Mathematik::530 Physik::530 Physik
subject: DDC::500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften
subject: noble gas
subject: viscosity
subject: molecular dynamics
subject: liquid state
subject: equation of state

description: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in J. Chem. Phys. 152, 094503 (2020) and may be found at https://doi.org/10.1063/1.5142364.
description: An equation of state for the bulk viscosity of liquid noble gases is proposed. On the basis of dedicated equilibrium molecular dynamics simulations, a multi-mode relaxation ansatz is used to obtain precise bulk viscosity data over a wide range of liquid states. From this dataset, the equation of state emerges as a two-parametric power function with both parameters showing a conspicuous saturation behavior over temperature. After passing a temperature threshold, the bulk viscosity is found to vary significantly over density, a behavior that resembles the frequency response of a one pole low-pass filter. The proposed equation of state is in good agreement with available experimental sound attenuation data.
Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference
Creators: name: Wang, Hao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Distributed word embeddings such as Word2Vec and GloVe have been widely adopted in industrial context settings. Major technical applications of GloVe include recommender systems and natural language processing. The fundamental theory behind GloVe relies on the selection of a weighting function in the weighted least squres formulation that computes the powered ratio of word occurrence count and the maximum word count in the corpus. However, the initial formulation of GloVe is not theoretically sound in two aspects, namely the selection of the weighting function and its power exponent is ad-hoc. In this paper, we utilize the theory of extreme value analysis and propose a theoretically accurate version of GloVe. By reformulating the weighted least squares loss function as the expected loss function and accurately choosing the power exponent, we create a theoretically accurate version of GloVe. We demonstrate the competitiveness of our algorithm and show that the initial formulation of GloVe with the suggested optimal parameter can be viewed as a special case of our paradigm.
description: ICCIP 2021
Complex Fuzzy Abstraction: The Brain Logic
Creators: name: Ganguly, Subhajit
Publisher: name: figshare
Year: 2014
Subjects: subject: Computer Engineering
subject: Information Systems
subject: FOS: Computer and information sciences
subject: 60102 Bioinformatics
subject: Aerospace Engineering
subject: FOS: Mechanical engineering
subject: Theoretical Computer Science
subject: Neuroscience

description: Taking abstraction as the starting point, we build a complex, self-organizing fuzzy logic system. Such a system, being built on top of abstraction as the base, turns out to be just a special outcome of the laws of abstraction. As the system is self-organizing, it runs automatically towards optimization. Using such a system in neural networks, we may come as close as possible to the workings of the human brain. The abstract fuzzy optimization is seen to follow a Gaussian distribution.
Simplified feedback control system for Scanning Tunneling Microscopy
Creators: name: Martín-Vega, Francisco
name: Barrena, Víctor
name: Sánchez-Barquilla, Raquel
name: Fernández-Lomana, Marta
name: Llorens, José Benito
name: Wu, Beilun
name: Fente, Antón
name: Duplain, David Perconte
name: Horcas, Ignacio
name: López, Raquel
name: Blanco, Javier
name: Higuera, Juan Antonio
name: Mañas-Valero, Samuel
name: Jo, Na Hyun
name: Schmidt, Juan
name: Canfield, Paul C.
name: Rubio-Bollinger, Gabino
name: Rodrigo, José Gabriel
name: Herrera, Edwin
name: Guillamón, Isabel
name: Suderow, Hermann
Publisher: name: arXiv
Year: 2022
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: A Scanning Tunneling Microscope (STM) is one of the most important scanning probe tools available to study and manipulate matter at the nanoscale. In a STM, a tip is scanned on top of a surface with a separation of a few Å. Often, the tunneling current between tip and sample is maintained constant by modifying the distance between the tip apex and the surface through a feedback mechanism acting on a piezoelectric transducer. This produces very detailed images of the electronic properties of the surface. The feedback mechanism is nearly always made using a digital processing circuit separate from the user computer. Here we discuss another approach, using a computer and data acquisition through the USB port. We find that it allows succesful ultra low noise studies of surfaces at cryogenic temperatures. We show results on different compounds, a type II Weyl semimetal (WTe$_2$), a quasi two-dimensional dichalcogenide superconductor (2H-NbSe$_2$), a magnetic Weyl semimetal (Co$_3$Sn$_2$S$_2$) and an iron pnictide superconductor (FeSe).
description: Instrumentation paper
A data ethics and data justice approach for AI-Enabled OER
Creators: name: Atenas, Javiera
name: Havemann, Leo
Publisher: name: Zenodo
Year: 2024
Subjects: Data ethics
open education
AI in education

description: This exploratory research focuses on the need to equip educators with a critical understanding of ethical issues in the AI space such as algorithmic discrimination so they can anticipate and respond to issues related to the collection, processing and use of AI in the development of OER. 

OE advocates for reducing the barriers to access and participation, widening learning opportunities while democratising education. This involves OEP which promotes collaboration and sharing good, effective, creative and innovative practices, and the use and creation of OER, which are currently defined as “teaching and learning materials that are freely available to use, adapt, and share”.

This definition does not address the possibilities of AI-enabled OER. AI services now present opportunities to create, adapt, personalise and contextualise resources in all shapes and forms. It’s even been suggested that OER could consist just of prompts - AI can generate the rest. We must considering that the risks implied in this process, due to the biases encrusted into data- and algorithm- driven systems.
RankMat : Matrix Factorization with Calibrated Distributed Embedding and Fairness Enhancement
Creators: name: Wang, Hao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Matrix Factorization is a widely adopted technique in the field of recommender system. Matrix Factorization techniques range from SVD, LDA, pLSA, SVD++, MatRec, Zipf Matrix Factorization and Item2Vec. In recent years, distributed word embeddings have inspired innovation in the area of recommender systems. Word2vec and GloVe have been especially emphasized in many industrial application scenario such as Xiaomi's recommender system. In this paper, we propose a new matrix factorization inspired by the theory of power law and GloVe. Instead of the exponential nature of GloVe model, we take advantage of Pareto Distribution to model our loss function. Our method is explainable in theory and easy-to-implement in practice. In the experiment section, we prove our approach is superior to vanilla matrix factorization technique and comparable with GloVe-based model in both accuracy and fairness metrics.
description: ICCIP 2021
Notes
Creators: name: Barr, Bernard
name: Holmes, John
name: Busby, JH
name: Spencer, BW
Publisher: name: Archaeology Data Service
Year: 2025

description: Transactions of the East Hertfordshire Archaeological Society, 14.2, 118-126
description: Braughing, Haven End; Braughing, Pottery from the Romano-British Cemetery; Braughing, Samiam Pottery; Broxbourne, Antler Implement: Harpenden, Exhumation; Hertfordshire Paper Mills; Hertingfordbury, a Calico Printer; St Albans, the Rutland Fencibles; Tewin, a Bronze Age Beaker; Therfield, Arms of Richard sydnor; Waltham Cross, a Bronze Sword; Wheathampstead, Painting by John King; Wheathampstead, Tennyson Connection
ПЕРСПЕКТИВЫ И ИННОВАЦИИ В ХИРУРГИЧЕСКОМ ЛЕЧЕНИИ ПОЛОСТНЫХ НАГНОИТЕЛЬНЫХ ЗАБОЛЕВАНИЙ ПЕЧЕНИ У ПОЖИЛЫХ ПАЦИЕНТОВ С САХАРНЫМ ДИАБЕТОМ
Creators: name: Бурханов, Джасурджон
Publisher: name: Zenodo
Year: 2024

description: Полостные нагноительные заболевания печени (ПНЗП) являются серьезной патологией, требующей своевременной и эффективной медицинской помощи. У пожилых людей с сахарным диабетом риск развития и осложнений этих заболеваний значительно возрастает. В последние годы медицинская наука и практика активно развивают и внедряют инновационные хирургические методы, направленные на улучшение исходов лечения данной категории пациентов.
Cloud Computing on Trial: A Defense of Cloud Computing
Creators: name: Wahlstedt, Robert
Publisher: name: figshare
Year: 2017
Subjects: subject: Computational Biology
subject: 100599 Communications Technologies not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: there has been hesitancy for people to gain the benefits of cloud computing because of a preconceived notion that data on servers owned by another person is insecure. While it is true that there have been cases where law enforcement issues a subpoena to the service provider, but if the information were on a server internal to the organization, then it would be also susceptible for the subpoena. However, let us not throw away the baby with the bath water. In this presentation, we look at the disadvantages of small to medium-sized businesses hosting common applications such as an email server or a customer relationship database as compared to having the services hosted through a subscription and talk about how companies who providing hosting services now have IAAS to improve the process of their clients.
Additional file 1 of Physiotherapy and its service in Nepal: implementation and status reported from facility surveys and official registers
Creators: name: Shakya, Nishchal Ratna
name: Shrestha, Nistha
name: Webb, Gillian
name: Myezwa, Hellen
name: Karmacharya, Biraj Man
name: Stensdotter, Ann-Katrin
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer
Science Policy

description: Supplementary Material 1
The Rise of Buoyant Magnetic Structures through Convection with a Background Magnetic Field
Creators: name: Manek, Bhishek
name: Pontin, Christina
name: Brummell, Nicholas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Inspired by observations of sunspots embedded in active regions, it is often assumed that large-scale, strong magnetic flux emerges from the Sun's deep interior in the form of arched, cylindrical structures, colloquially known as flux tubes. Here, we continue to examine the different dynamics encountered when these structures are considered as concentrations in a volume-filling magnetic field rather than as isolated entities in a field-free background. Via 2.5D numerical simulations, we consider the buoyant rise of magnetic flux concentrations from a radiative zone through an overshooting convection zone that self-consistently (via magnetic pumping) arranges a volume-filling large-scale background field. This work extends earlier papers that considered the evolution of such structures in a purely adiabatic stratification with an assumed form of the background field. This earlier work established the existence of a bias that created an increased likelihood of successful rise for magnetic structures with one (relative) orientation of twist and a decreased likelihood for the other. When applied to the solar context, this bias is commensurate with the solar hemispherical helicity rules (SHHR). This paper establishes the robustness of this selection mechanism in a model incorporating a more realistic background state, consisting of overshooting convection and a turbulently-pumped mean magnetic field. Ultimately, convection only weakly influences the selection mechanism, since it is enacted at the initiation of the rise, at the edge of the overshoot zone. Convection does however add another layer of statistical fluctuations to the bias, which we investigate in order to explain variations in the SHHR.
description: 39 pages, 27 figures, Published in ApJ
Preparation of Cu(II)-Imprinted Smart Microgels for Selective Separation of Copper Ions
Creators: name: Zhicheng Yuan
name: Yekai Zhu
name: Lan, Ye
name: Dajun Chen
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biochemistry
subject: Biophysics

description: In this study, we demonstrate a new kind of surface imprinted smart polymer by using methacrylic acid (MAA) as function monomer, attapulgite as the support material, ethylene glycol dimethacrylate (EGDMA) as a crosslinker, and 2, 2’-azobisisobutyronitrile (AIBN) as initiator to prepare Cu(II)-imprinted microgels. The results showed that the prepared imprinted microgels have a high affinity for Cu2+ over Ca2+ and Mg2+, and the adsorption equilibrium data fitted Freundlich isotherm model well. In addition, Cu(II)-imprinted smart microgels had pH sensitivity to control the selection recognition property. Besides, It is suggested that the Cu(II)-imprinted microgels was a material that was efficient, low-cost, and could be reused five times with about 15% regeneration loss.
Social isolation as a consequence of transitions in partner relationships: How formations and endings of partner relationships affect the risk of social disconnectedness
Creators: name: Eckhard, Jan
Publisher: name: Journal of Family Research
Year: 2020

description: Objective: The study examines whether the risk of social isolation is affected by a union formation, marriage and by relationship endings. Background: Social isolation is a broadly discussed social problem but little is known about how social isolation emerges. As regards the role of partner relationships, previous research has yielded mixed results on whether there are isolating effects of marriage, separations or widowhood. Method: We use longitudinal data deriving from the German Socioeconomic Panel to analyse the impact of transitions in partner relationships on different manifestations of social isolation (disconnectedness from friends and relatives, non-participation in civic associations). Analyses on the impact of union formation and marriage are based on information on 11,359 persons. Analyses on the impact of relationship endings are based on information on 30,730 persons. Results: Union formation and marriage are found to have little effect in terms of promoting social isolation. Endings of partner relationships, by contrast, entail an increased risk of being isolated at the same time from friendships, relatives and civil associations. Conclusion: Taken together, the findings suggest that those who had limited their social interaction to the spouse or partner often fail to become re-integrated when the relationship had ended. It can be assumed that this is a common pathway into social isolation.
description: Journal of Family Research, Early View
Cancer in indigenous Australians in the Northern Territory of Australia
Creators: name: Condon, John
Publisher: name: Charles Darwin University
Year: 2004

description: Compared to the whole Australian population, Indigenous Australians in the Northern Territory (NT) in 1991-2000 had higher mortality from lung and other smoking-related cancers, cervical and liver cancers, but lower mortality from cancers of the colon and rectum, breast, ovary, prostate, kidney, bladder, melanoma and lymphoma. For liver and lung cancers, higher mortality was almost entirely explained by higher incidence; survival is very low for all people with these cancers, Indigenous or otherwise. For cervical cancer, higher mortality was partly because of higher incidence and partly because of lower survival. For other cancers, Indigenous incidence rates were lower than the total Australian rate, but mortality rates were higher than expected because of lower survival for Indigenous people. Mortality rates from lung cancer and most smoking-related cancers increased between 1977 and 2000. Between 1991 and 2001, Indigenous incidence and mortality rates both increased for breast cancer but decreased for cervical cancer, although confidence intervals around trend estimates were wide; it will be several years before it can be confirmed whether these trends have been sustained. For cancers of the colon and rectum, breast, cervix and non-Hodgkin lymphoma, a higher proportion of Indigenous than non-Indigenous people had advanced disease at diagnosis, but for lung cancer the opposite was true. No explanation for the later diagnosis of cancer in Indigenous people was found among the factors examined in this study. Compared to non-Indigenous people, cancer survival was lower for all Indigenous people, and more so for those who spoke an Indigenous language as their first language ("Indigenous-language speakers") than for those who spoke English as their first language ("English- language speakers"). For English-language speakers, after adjustment for stage at diagnosis and cancer site, cancer survival was similar to that of non-Indigenous people. For Indigenous-language speakers lower cancer survival was partly due to these factors and partly due to deficiencies in cancer treatment, including being less likely to be recommended, to chose and to complete curative treatment. However, these factors did not fully explain the lower cancer survival of Indigenous-language speakers; other factors, which are distinctive features of these Indigenous people, were also involved and remain to be elucidated.
Comportamento de um Treinamento Aeróbio em Meio Aquático, na Aptidão Física e Composição Corporal de Homens Idosos
Creators: name: Neto, Francisco Holanda Cavalcante
name: Nunes, Raimundo Nonato
name: Assis, Camila Fernandes De
name: Gonçalves, Ciro Alexandre Mercês
name: Lindomar Da Silva Filho
name: Jônatas De França Barros
Publisher: name: Zenodo
Year: 2013

description: Trabalho apresentado em Congresso.
The Price and Cost of Bitcoin
Creators: name: Marthinsen, John E.
name: Gordon, Steven R.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Economics (econ.GN)
subject: FOS: Economics and business

description: Explaining changes in bitcoin's price and predicting its future have been the foci of many research studies. In contrast, far less attention has been paid to the relationship between bitcoin's mining costs and its price. One popular notion is the cost of bitcoin creation provides a support level below which this cryptocurrency's price should never fall because if it did, mining would become unprofitable and threaten the maintenance of bitcoin's public ledger. Other research has used mining costs to explain or forecast bitcoin's price movements. Competing econometric analyses have debunked this idea, showing that changes in mining costs follow changes in bitcoin's price rather than preceding them, but the reason for this behavior remains unexplained in these analyses. This research aims to employ economic theory to explain why econometric studies have failed to predict bitcoin prices and why mining costs follow movements in bitcoin prices rather than precede them. We do so by explaining the chain of causality connecting a bitcoin's price to its mining costs.
description: 18 pages, 3 tables, 5 figures Accepted by the Quarterly Review of Economics and Finance
Tableaux combinatorics for the asymmetric exclusion process and Askey-Wilson polynomials
Creators: name: Corteel, Sylvie
name: Williams, Lauren
Publisher: name: arXiv
Year: 2009
Subjects: subject: Combinatorics (math.CO)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 05E10, 82B23, 60C05

description: Introduced in the late 1960's, the asymmetric exclusion process (ASEP) is an important model from statistical mechanics which describes a system of interacting particles hopping left and right on a one-dimensional lattice of n sites with open boundaries. It has been cited as a model for traffic flow and protein synthesis. In the most general form of the ASEP with open boundaries, particles may enter and exit at the left with probabilities alpha and gamma, and they may exit and enter at the right with probabilities beta and delta. In the bulk, the probability of hopping left is q times the probability of hopping right. The first main result of this paper is a combinatorial formula for the stationary distribution of the ASEP with all parameters general, in terms of a new class of tableaux which we call staircase tableaux. This generalizes our previous work for the ASEP with parameters gamma=delta=0. Using our first result and also results of Uchiyama-Sasamoto-Wadati, we derive our second main result: a combinatorial formula for the moments of Askey-Wilson polynomials. Since the early 1980's there has been a great deal of work giving combinatorial formulas for moments of various other classical orthogonal polynomials (e.g. Hermite, Charlier, Laguerre, Meixner). However, this is the first such formula for the Askey-Wilson polynomials, which are at the top of the hierarchy of classical orthogonal polynomials.
description: An announcement of these results appeared here: http://www.pnas.org/content/early/2010/03/25/0909915107.abstract This version of the paper has updated references and corrects a gap in the proof of Proposition 6.11 which was in the published version
Holomorphic projections and Ramanujan's mock theta functions
Creators: name: Imamoglu, Özlem
name: Raum, Martin
name: Richter, Olav K.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: Primary 11F30, 11F37, Secondary 11F27

description: We employ spectral methods of automorphic forms to establish a holomorphic projection operator for tensor products of vector-valued harmonic weak Maass forms and vector-valued modular forms. We apply this operator to discover simple recursions for Fourier series coefficients of Ramanujan's mock theta functions.
description: To appear in PNAS
Estimation with Aggregate Shocks
Creators: name: Hahn, Jinyong
name: Kuersteiner, Guido
name: Mazzocco, Maurizio
Publisher: name: arXiv
Year: 2015
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: 62F12

description: Aggregate shocks affect most households' and firms' decisions. Using three stylized models we show that inference based on cross-sectional data alone generally fails to correctly account for decision making of rational agents facing aggregate uncertainty. We propose an econometric framework that overcomes these problems by explicitly parameterizing the agents' inference problem relative to aggregate shocks. Our framework and examples illustrate that the cross-sectional and time-series aspects of the model are often interdependent. Therefore, estimation of model parameters in the presence of aggregate shocks requires the combined use of cross-sectional and time series data. We provide easy-to-use formulas for test statistics and confidence intervals that account for the interaction between the cross-sectional and time-series variation. Lastly, we perform Monte Carlo simulations that highlight the properties of the proposed method and the risks of not properly accounting for the presence of aggregate shocks.
Additional file 1 of A time trade-off study to determine health-state utilities of transplant recipients with refractory cytomegalovirus infection with or without resistance
Creators: name: Ahmed, Waqas
name: Longworth, Louise
name: Oluboyede, Yemi
name: Cain, Peter
name: Amorosi, Stacey L.
name: Hill, Sarah
name: Hirji, Ishan
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file1. Table S1. Summary of participants' clinical experience. Table S2. Final vignette: Clinically significant and symptomatic CMV (CS-symptomatic CMV). Table S3. Final vignette: Clinically significant and symptomatic CMV (CS-symptomatic CMV) with GvHD. Table S4. Final vignette: Clinically significant and symptomatic CMV (CS-symptomatic CMV) with kidney graft loss. Table S5. Final vignette: Clinically significant and symptomatic CMV (CS-symptomatic CMV) with lung graft loss. Table S6. Final vignette: Clinically significant and asymptomatic CMV (CS-asymptomatic CMV). Table S7. Final vignette: Clinically significant and asymptomatic CMV (CS-asymptomatic CMV) with GvHD. Table S8. Final vignette: Clinically significant and asymptomatic CMV (CS-asymptomatic CMV) with kidney graft loss. Table S9. Final vignette: Clinically significant and asymptomatic CMV (CS-asymptomatic CMV) with lung graft loss. Table S10. Final vignette: Non-clinically significant CMV (non-CS CMV). Table S11. Final vignette: Non-clinically significant CMV (non-CS CMV) with GvHD. Table S12. Final vignette: Non-clinically significant CMV (non-CS CMV) with kidney graft loss. Table S13. Final vignette: Non-clinically significant CMV (non-CS CMV) with lung graft loss.
Preparation of Cu (II)-imprinted smart microgels for selective separation of copper ions
Creators: name: Zhicheng Yuan
name: Yekai Zhu
name: Lan, Ye
name: Dajun Chen
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biochemistry
subject: Biophysics

description: In this study, we demonstrate a new kind of surface imprinted smart polymer by using methacrylic acid (MAA) as function monomer, attapulgite as the support material, ethylene glycol dimethacrylate (EGDMA) as a crosslinker, and 2, 2ʹ-azobisisobutyronitrile (AIBN) as initiator to prepare Cu (II)-imprinted microgels. The results showed that the prepared imprinted microgels have a high affinity for Cu2+ over Ca2+ and Mg2+, and the adsorption equilibrium data fitted Freundlich isotherm model well. In addition, Cu (II)-imprinted smart microgels had pH sensitivity to control the selection recognition property. Besides, It is suggested that the Cu (II)-imprinted microgels was a material of efficient, low-cost, and could be reused five times with about 15% regeneration loss.
Preparing for practice in the age of complexity
Creators: name: Cherry, Nita
Publisher: name: Swinburne
Year: 2024

description: In The university of learning, John Bowden and Ference Marton explore the idea that being able to handle varying and unfamiliar conditions is fundamental to effective practice in ‘real life’. They suggest that in an age of rapid change and complexity, the challenge for educators and students is to ‘prepare for the unknown by means of the known’, and they offer the powerful proposition that the educational experience itself should provide rich diversity in the ways in which learning encourages engagement with phenomena. Variation, they suggest, is fundamental to what they call the ‘whole idea’ of the university. This paper is a tribute to John Bowden, reflecting upon the significance of his thinking for the development of teaching and learning practice. In particular, it explores the practical possibilities and the fruitful, though considerable, challenges of deliberately introducing variation into teaching and learning in the university context.
Unexpected biases in the distribution of consecutive primes
Creators: name: Oliver, Robert J. Lemke
name: Soundararajan, Kannan
Publisher: name: arXiv
Year: 2016
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: While the sequence of primes is very well distributed in the reduced residue classes (mod $q$), the distribution of pairs of consecutive primes among the permissible $ϕ(q)^2$ pairs of reduced residue classes (mod $q$) is surprisingly erratic. This paper proposes a conjectural explanation for this phenomenon, based on the Hardy-Littlewood conjectures. The conjectures are then compared to numerical data, and the observed fit is very good.
description: v4: Added dedication v3: Minor revisions to exposition, fixed one typo in Section 5 v2: Added references
Stability analysis for the incompressible Navier-Stokes equations with Navier boundary conditions
Creators: name: Ding, Shijin
name: Li, Quanrong
name: Xin, Zhouping
Publisher: name: arXiv
Year: 2016
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 76N10, 35Q30, 35R35

description: This paper concerns the instability and stability of the trivial steady states of the incompressible Navier-Stokes equations with Navier-slip boundary conditions in a slab domain in dimension two. The main results show that the stability (or instability) of this constant equilibrium depends crucially on whether the boundaries dissipate energy and the strengthen of the viscosity and slip length. It is shown that in the case that when all the boundaries are dissipative, then nonlinear asymptotic stability holds true, otherwise, there is a sharp critical viscosity, which distinguishes the nonlinear stability from instability.
description: 35 pages
Universal behaviour of 3D loop soup models
Creators: name: Ueltschi, Daniel
Publisher: name: arXiv
Year: 2017
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: These notes describe several loop soup models and their {\it universal behaviour} in dimensions greater or equal to 3. These loop models represent certain classical or quantum statistical mechanical systems. These systems undergo phase transitions that are characterised by changes in the structures of the loops. Namely, long-range order is equivalent to the occurrence of macroscopic loops. There are many such loops, and the joint distribution of their lengths is always given by a {\it Poisson-Dirichlet distribution}. This distribution concerns random partitions and it is not widely known in statistical physics. We introduce it explicitly, and we explain that it is the invariant measure of a mean-field split-merge process. It is relevant to spatial models because the macroscopic loops are so intertwined that they behave effectively in mean-field fashion. This heuristics can be made exact and it allows to calculate the parameter of the Poisson-Dirichlet distribution. We discuss consequences about symmetry breaking in certain quantum spin systems.
description: 31 pages, 11 figures. Notes prepared for the 6th Warsaw School of Statistical Physics, held from 25 June to 2 July 2016 in Sandomierz, Poland
Integration Order Replacement Technique for Iterated Ito Stochastic Integrals and Iterated Stochastic Integrals With Respect to Martingales
Creators: name: Kuznetsov, Dmitriy F.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: The article is devoted to the integration order replacement technique for iterated Ito stochastic integrals and iterated stochastic integrals with respect to martingales. We consider the class of iterated Ito stochastic integrals, for which with probability 1 the formulas of integration order replacement corresponding to the rules of classical integral calculus are reasonable. The theorems on integration order replacement for the class of iterated Ito stochastic integrals is proven. Many examples of this theorems usage have been considered. These results are generalized for the class of iterated stochastic integrals with respect to martingales.
description: 28 pages. Minor changes along the text in the whole
Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity
Creators: name: Kuersteiner, Guido M.
name: Prucha, Ingmar R.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics

description: This paper considers a class of GMM estimators for general dynamic panel models, allowing for weakly exogenous covariates and cross sectional dependence due to spatial lags, unspecified common shocks and time-varying interactive effects. We significantly expand the scope of the existing literature by allowing for endogenous spatial weight matrices without imposing any restrictions on how the weights are generated. An important area of application is in social interaction and network models where our specification can accommodate data dependent network formation. We consider an exemplary social interaction model and show how identification of the interaction parameters is achieved through a combination of linear and quadratic moment conditions. For the general setup we develop an orthogonal forward differencing transformation to aid in the estimation of factor components while maintaining orthogonality of moment conditions. This is an important ingredient to a tractable asymptotic distribution of our estimators. In general, the asymptotic distribution of our estimators is found to be mixed normal due to random norming. However, the asymptotic distribution of our test statistics is still chi-square.
Kernel and cokernel in the category of augmented involutive stereotype algebras
Creators: name: Akbarov, S. S.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics

description: We prove several properties of kernels and cokernels in the category of augmented involutive stereotype algebras: 1) the morphisms of the augmented involutive stereotype algebras have kernels and cokernels, 2) the cokernel is preserved under the passage to the group stereotype algebras, and 3) the notion of cokernel allows to prove that the continuous envelope $\operatorname{Env} {\mathcal C}^\star(G)$ of the group algebra ${\mathcal C}^\star(G)$ is an involutive Hopf algebra in the category of stereotype spaces $({\tt Ste},\odot)$, if $G$ has the form $Z\cdot K$, where $Z$ is a commutative locally compact group, and $K$ a compact group. The last result plays an important role in the generalization of the Pontryagin duality for arbitrary Moore groups.
description: 23 pages, in English
DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
Creators: name: Häggström, Ida
name: Schmidtlein, C. Ross
name: Campanella, Gabriele
name: Fuchs, Thomas J.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Medical Physics (physics.med-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Positron emission tomography (PET) is a cornerstone of modern radiology. The ability to detect cancer and metastases in whole body scans fundamentally changed cancer diagnosis and treatment. One of the main bottlenecks in the clinical application is the time it takes to reconstruct the anatomical image from the deluge of data in PET imaging. State-of-the art methods based on expectation maximization can take hours for a single patient and depend on manual fine-tuning. This results not only in financial burden for hospitals but more importantly leads to less efficient patient handling, evaluation, and ultimately diagnosis and treatment for patients. To overcome this problem we present a novel PET image reconstruction technique based on a deep convolutional encoder-decoder network, that takes PET sinogram data as input and directly outputs full PET images. Using realistic simulated data, we demonstrate that our network is able to reconstruct images >100 times faster, and with comparable image quality (in terms of root mean squared error) relative to conventional iterative reconstruction techniques.
Spaces of influence: a framework for analysis of an individual’s contribution within communities of practice
Creators: name: Green, Pamela
Publisher: name: Swinburne
Year: 2024

description: Within our lives there are spaces of influence or opportunities in which the impact of an ‘influential other' enables learning in ways that might not otherwise occur. This paper focusses on learning in terms of the learning of others, and in particular the professional impact of John Bowden. Building on the work of Vygotsky (1978), and Wood, Bruner and Ross (1976), the notion of supported learning is revisited and extended. A range of actual stories involving Bowden as key influence are presented through which the term: spaces of influence is developed. The stories flow from varied contexts including those pertaining to research students, communities of practice around methodological positions steeped in qualitative methods, phenomenography, and a scholarly review network. Five spaces within a metaspace of influence-action, explicit discourse, learning, practice development and trust are developed through the analysis of the stories. The paper pays tribute to the significant work of John Bowden, through the telling of embedded stories, the interweaving of theory such as Bowden and Marton's (1998) theory of learning for an unknown future, and through the development of the notion of spaces of influence that emerged from reflection here on Bowden's contribution within communities of practice.