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This paper sets out a forecasting method that employs a mixture of parametric functions to capture the pattern of fertility with respect to age. The overall level of cohort fertility is decomposed over the range of fertile ages using a…

Applications · Statistics 2019-09-23 Jason Hilton , Erengul Dodd , Jonathan J. Forster , Peter W. F. Smith , Jakub Bijak

During 2014-15 Sweden received asylum applications from more than 240.000 people, of which more than 40.000 were termed unaccompanied minors. In a large number of cases, claims by asylum seekers of being below 18 years were not trusted by…

Applications · Statistics 2018-09-18 Petter Mostad , Fredrik Tamsen

The classical cosmological V/Vm-test is introduced and elaborated. Use of the differential distribution p(V/Vm) of the V/Vm-variable rather than just the mean <V/Vm> leads directly to the cosmological number density without any need for…

Cosmology and Nongalactic Astrophysics · Physics 2009-02-09 Dilip G. Banhatti

Biological aging is characterized by an age-dependent increase in the probability of death and by a decrease in the reproductive capacity. Individual age-dependent rates of survival and reproduction have a strong impact on population…

Populations and Evolution · Quantitative Biology 2016-02-03 Arian Šajina , Dario Riccardo Valenzano

A general approach for anomaly detection or novelty detection consists in estimating high density regions or Minimum Volume (MV) sets. The One-Class Support Vector Machine (OCSVM) is a state-of-the-art algorithm for estimating such regions…

Machine Learning · Statistics 2015-09-01 Albert Thomas , Vincent Feuillard , Alexandre Gramfort

Since laws of physics exist in nature, their possible relationship to terrestial growth is introduced. By considering the human body as a dynamic system of variable mass (and volume), growing under a gravity field, it is shown how natural…

Biological Physics · Physics 2008-09-01 E. Canessa

Waterfall plots are a key tool in early phase oncology clinical studies for visualizing individual patients' tumor size changes and provide efficacy assessment. However, comparing waterfall plots from ongoing studies with limited follow-up…

Applications · Statistics 2025-06-10 Zhe , Wang , Linda Z. Sun , Cong Chen

In radiation therapy tumor size, and thus also volume, has a significant impact on the local control of tumors. Moreover, tumor volume is a significant prognostic factor for modelling and predicting therapeutic outcomes in cancer treatment.…

Medical Physics · Physics 2023-03-21 Stephan Radonic , Jürgen Besserer , Jessica Kneubühl , Valeria Meier , Uwe Schneider

Measurements of breast density have the potential to improve the efficiency and reduce the cost of screening mammography through personalized screening. Breast density has traditionally been evaluated from the dense area in a mammogram, but…

Medical Physics · Physics 2021-01-11 Erik Fredenberg , Karl Berggren , Matthias Bartels , Klaus Erhard

In exponential population growth, variability in the timing of individual division events and environmental factors (including stochastic inoculation) compound to produce variable growth trajectories. In several stochastic models of…

Populations and Evolution · Quantitative Biology 2023-12-25 Eric W. Jones , Joshua Derrick , Roger M. Nisbet , Will Ludington , David A. Sivak

We consider a model of asexually reproducing individuals. The birth and death rates of the individuals are affected by a fitness parameter. The rate of mutations that cause the fitnesses to change is proportional to the population size, N.…

Probability · Mathematics 2013-07-24 Michael Kelly

Despite internal complexity, tumor growth kinetics follow relatively simple macroscopic laws that have been quantified by mathematical models. To resolve this further, quantitative and discriminant analyses were performed for the purpose of…

Quantitative Methods · Quantitative Biology 2014-09-02 Sébastien Benzekry , Clare Lamont , Afshin Beheshti , Amanda Tracz , John M. L. Ebos , Lynn Hlatky , Philip Hahnfeldt

Purpose: Performance models are important tools for coaches and athletes to optimise competition outcomes or training schedules. A recently published hydraulic performance model has been reported to outperform established work-balance…

Quantitative Methods · Quantitative Biology 2022-08-01 Fabian C. Weigend , Edward Gray , Oliver Obst , Jason Siegler

Numerous machine learning (ML) models have been developed for breast cancer using various types of data. Successful external validation (EV) of ML models is important evidence of their generalizability. The aim of this systematic review was…

Computer Vision and Pattern Recognition · Computer Science 2023-12-13 Ricardo Gonzalez , Peyman Nejat , Ashirbani Saha , Clinton J. V. Campbell , Andrew P. Norgan , Cynthia Lokker

The water uptake by roots of plants is examined for an ideal situation, with an approximation that resembles plants growing in pots, meaning that the total soil volume is fixed. We propose a coupled water uptake-root growth model. A…

Biological Physics · Physics 2015-03-12 J. L. Blengino Albrieu , J. C. Reginato , D. A. Tarzia

The evolutionary biology of aging is fundamental to understanding the mechanisms of aging and how to develop anti-aging treatments. Thus far most evolutionary theory concerns the genetics of aging with limited physiological integration.…

Populations and Evolution · Quantitative Biology 2025-09-22 Mirre J P Simons , Marc Tatar

We investigate the ability of individuals to visually validate statistical models in terms of their fit to the data. While visual model estimation has been studied extensively, visual model validation remains under-investigated. It is…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Daniel Braun , Ashley Suh , Remco Chang , Michael Gleicher , Tatiana von Landesberger

Mammographic breast density is a well-established risk factor for breast cancer. Recently there has been interest in breast MRI as an adjunct to mammography, as this modality provides an orthogonal and highly quantitative assessment of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Yaqian Chen , Lin Li , Hanxue Gu , Haoyu Dong , Derek L. Nguyen , Allan D. Kirk , Maciej A. Mazurowski , E. Shelley Hwang

Cervical cancer is the leading gynecological malignancy worldwide. This paper presents diverse classification techniques and shows the advantage of feature selection approaches to the best predicting of cervical cancer disease. There are…

Computers and Society · Computer Science 2019-08-22 Avishek Choudhury , Y. M. S Al Wesabi , Daehan Won

An evaluation method supported by robust statistical analysis was used to analyze historical measurements of $^{39}$Ar half-life. The method, which combines the most frequent value (MFV) approach with bootstrap analysis, provides a more…

Geophysics · Physics 2025-02-17 Victor V. Golovko
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