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Being able to objectively characterise the intrinsic complexity of behavioural patterns resulting from human or animal decisions is fundamental for deconvolving cognition and designing autonomous artificial intelligence systems. Yet…

Quantitative Methods · Quantitative Biology 2022-12-22 Hector Zenil , James A. R. Marshall , Jesper Tegnér

Accurately tracking food consumption is crucial for nutrition and health monitoring. Traditional approaches typically require specific camera angles, non-occluded images, or rely on gesture recognition to estimate intake, making assumptions…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Ervin Wang , Yuhao Chen

The problem of optimal dosage estimation arises in diverse scientific domains, from pharmacology and toxicology to aquaculture and environmental studies. Statistical modeling of nonlinear dose-response relationships is essential to quantify…

Methodology · Statistics 2026-05-08 Aliaksandr Hubin , Åshild Krogdahl , Guro Løkka , Trond M. Kortner

Unraveling patterns of animals' movements is important for understanding the fundamental basics of biogeography, tracking range shifts resulting from climate change, predicting and preventing biological invansions. Many researchers have…

Populations and Evolution · Quantitative Biology 2020-04-20 Nikolay Markov , Evgeny Ivanko

Recent cellular-level volumetric brain reconstructions have revealed high levels of anatomic complexity. Determining which structural aspects of the brain to focus on, especially when comparing with computational models and other organisms,…

Disordered Systems and Neural Networks · Physics 2023-09-29 Helen S. Ansell , István A. Kovács

This paper consists of two parts. In the first part, we develop a new information theory, in which it is not a coincidence that information and physical entropy share the same mathematical formula. It is an adaptation of mind to help search…

Information Theory · Computer Science 2007-07-13 Jing Chen

In observational studies of dietary exposures, the energy adjustment strategy has a critical impact on the effect being estimated. Adjusting for total energy intake or expressing the exposure as a percentage of total energy, leads to a…

Animals employ strategic decision-making while carefully weighing nutritional benefits against the risks presented by aversive or harmful stimuli in their natural environment, to maximize foraging efficiency, In India, free-ranging dogs…

Other Quantitative Biology · Quantitative Biology 2025-12-02 Tuhin Subhra Pal , Srijaya Nandi , Hindoli Gope , Aniket Malakar , Rohan Sarkar , Sagarika Biswas , Anindita Bhadra

The villi and crypts of the gastrointestinal tract increase the effective surface area of the intestinal mucosa, potentially enhancing nutrient absorption. It is commonly assumed that this is their primary function, and that a higher villi…

Tissues and Organs · Quantitative Biology 2025-08-26 Martin Garic , Rohan Vernekar , Dácil I. Yánez Martín , Stéphane Tanguy , Clément de Loubens , Claude Loverdo

This paper addresses the question of optimal phenotypic plasticity as a response to environmental fluctuations while optimizing the cost/benefit ratio, where the cost is energetic expense of plasticity, and benefit is fitness. The…

Populations and Evolution · Quantitative Biology 2012-11-12 Patrick Coquillard , Alexandre Muzy , Francine Diener

Animals that display behavioural flexibility and adaptability thrive in urban environments, due to their ability to exploit novel anthropogenic resources. Since humans are an important component of such urban environments, animals that…

With the booming of personalized recipe sharing networks (e.g., Yummly), a deluge of recipes from different cuisines could be obtained easily. In this paper, we aim to solve a problem which many home-cooks encounter when searching for…

Information Retrieval · Computer Science 2020-03-17 Meng Chen , Xiaoyi Jia , Elizabeth Gorbonos , Chnh T. Hong , Xiaohui Yu , Yang Liu

Precisely how humans process relational patterns of information in knowledge, language, music, and society is not well understood. Prior work in the field of statistical learning has demonstrated that humans process such information by…

This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past few years, hundreds of scholarly papers and reports have…

We propose a method of learning a policy for human-like locomotion via deep reinforcement learning based on a human anatomical model, muscle actuation, and biologically inspired rewards, without any inherent control rules or reference…

Graphics · Computer Science 2024-01-30 Minkwan Kim , Yoonsang Lee

Many robots move through the world by composing locomotion primitives like steps and turns. To do so well, robots need not have primitives that make intuitive sense to humans. This becomes of paramount importance when robots are damaged and…

Robotics · Computer Science 2021-10-05 Brian Bittner , Shai Revzen

A model of an organism as an autonomous intelligent system has been proposed. This model was used to analyze learning of an organism in various environmental conditions. Processes of learning were divided into two types: strong and weak…

Artificial Intelligence · Computer Science 2007-05-23 Alexey V. Melkikh

It is a challenge to predict the response of a large, complex system to a perturbation. Recent attempts to predict the behaviour of food webs have revealed that the effort needed to understand a system grows quickly with its complexity,…

Populations and Evolution · Quantitative Biology 2013-11-07 Helge Aufderheide , Lars Rudolf , Thilo Gross , Kevin D. Lafferty

The theory of evolution by natural selection cannot be used to evaluate the truth value of the following proposition: Through evolution, there exists at least one species that can adapt to any one given environment. To address this issue,…

Biological Physics · Physics 2022-08-17 Kai Xu

Obesity is a global health concern associated with high morbidity and mortality. Therapeutic strategies include synthetic drugs and surgery, which may entail high costs and serious complications. Plant-based medicinal agents offer an…

Other Quantitative Biology · Quantitative Biology 2012-08-10 Mahnaz Kazemipoor , Che Wan Jasimah Wan Mohamed Radzi , Geoffrey A. Cordell , Iman Yaze