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Related papers: Endogenous circannual rhythm in LH secretion: insi…

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We propose a mathematical model allowing for the alternating pulse and surge pattern of GnRH (Gonadotropin Releasing Hormone) secretion. The model is based on the coupling between two systems running on different time scales. The faster…

Tissues and Organs · Quantitative Biology 2007-07-12 Frederique Clement , Jean-Pierre Francoise

Gonadotropin-releasing hormone (GnRH) is reported to control mammalian reproductive processes. GnRH a neurohormone which is pulsatile released into the pituitary portal blood by hypothalamic GnRH neurons. In the present study, the phase…

Molecular Networks · Quantitative Biology 2016-12-06 Md. Jahoor Alam

The endocrine control of the reproductive function is often studied from the analysis of luteinizing hormone (LH) pulsatile secretion by the pituitary gland. Whereas measurements in the cavernous sinus cumulate anatomical and technical…

Dynamical Systems · Mathematics 2012-07-24 Alexandre Vidal , Qinghua Zhang , Claire Médigue , Stéphane Fabre , Frédérique Clément

Follicle-stimulating hormone (FSH) and luteinizing hormone (LH) play essential roles in animal reproduction. They exert their function through binding to their cognate receptors, which belong to the large family of G protein-coupled…

Molecular Networks · Quantitative Biology 2018-08-07 Mohammed Akli Ayoub , Romain Yvinec , Pascale Crépieux , Anne Poupon

Pituitary gonadotropins play an essential and pivotal role in the control of human and animal reproduction within the hypothalamic-pituitary-gonadal (HPG) axis. The computational modeling of pituitary gonadotropin signaling encompasses…

Molecular Networks · Quantitative Biology 2018-08-02 Romain Yvinec , Pascale Crépieux , Eric Reiter , Anne Poupon , Frédérique Clément

The effects of pulsatile GnRH stimulation on anterior pituitary cells are studied using perifusion cell cultures, where constantly moving medium over the immo- bilized cells allows intermittent GnRH delivery. The LH content of the outgoing…

Cell Behavior · Quantitative Biology 2016-06-03 N Ezgi Temamogullari , H Frederik Nijhout , Michael C Reed

A normally functioning menstrual cycle requires significant crosstalk between hormones originating in ovarian and brain tissues. Reproductive hormone dysregulation may cause abnormal function and sometimes infertility. The inherent…

Tissues and Organs · Quantitative Biology 2022-08-30 E. J. Graham , N. Elhadad , D. Albers

Circadian (~24hr) clocks are self-sustained endogenous oscillators with which organisms keep track of daily and seasonal time. Circadian clocks frequently rely on interlocked transcriptional- translational feedback loops to generate rhythms…

Molecular Networks · Quantitative Biology 2016-04-14 Jae Kyoung Kim

Over the last decade, hidden Markov models (HMMs) have become increasingly popular in statistical ecology, where they constitute natural tools for studying animal behavior based on complex sensor data. Corresponding analyses sometimes…

Methodology · Statistics 2025-10-15 Jan-Ole Koslik , Carlina C. Feldmann , Sina Mews , Rouven Michels , Roland Langrock

Circadian rhythms are a process of the sleep-wake cycle that regulates the physical, mental and behavioural changes in all living beings with a period of roughly 24 h. Wearable accelerometers are typically used in livestock applications to…

Quantitative Methods · Quantitative Biology 2022-09-07 Victoria Rhodes , Maureen Maguire , Meghana Shetty , Conor McAloon , Alan F. Smeaton

The paper deals with the estimation of a signal model in the form of the output of a continuous linear time-invariant system driven by a sequence of instantaneous impulses, i.e. an impulsive time series. This modeling concept arises in,…

Systems and Control · Electrical Eng. & Systems 2023-04-27 Håkan Runvik , Alexander Medvedev

Characterizing the sleep-wake cycle in adolescents is an important prerequisite to better understand the association of abnormal sleep patterns with subsequent clinical and behavioral outcomes. The aim of this research was to develop hidden…

Applications · Statistics 2022-12-22 Semhar B. Ogbagaber , Yifan Cui , Kaigang Li , Ronald J. Iannotti , Paul S. Albert

Bulk tissue RNA sequencing of heterogeneous samples provides averaged gene expression profiles, obscuring cell type-specific dynamics. To address this, we present a probabilistic hierarchical Bayesian model that deconvolves bulk RNA-seq…

Machine Learning · Computer Science 2025-12-15 Crystal Su , Kuai Yu , Mingyuan Shao , Daniel Bauer

Activities in M dwarfs show spectroscopic variability over various time scales ranging from a few seconds to several hours. The time scales of such variability can be related to internal dynamics of M dwarfs like magnetic activity,…

Solar and Stellar Astrophysics · Physics 2023-02-06 Vipin Kumar , A. S. Rajpurohit , Mudit K. Srivastava

Human luteinizing hormone (LH) and chorionic gonadotropin (hCG) have been considered biologically equivalent because of their structural similarities and their binding to the same receptor; the LH/CGR. However, accumulating evidence suggest…

To understand the sophisticated control mechanisms of the human's endocrine system is a challenging task that is a crucial step towards precise medical treatment of many disfunctions and diseases. Although mathematical models describing the…

Systems and Control · Computer Science 2019-09-20 Hadi Taghvafard , Anton V. Proskurnikov , Ming Cao

Spiral waves are a well-known phenomenon in excitable media, playing critical roles in biological systems such as cardiac tissues, where they are involved in arrhythmias, and in slime molds, where they guide collective cell migration.…

We introduce the problem of hidden Hamiltonian cycle recovery, where there is an unknown Hamiltonian cycle in an $n$-vertex complete graph that needs to be inferred from noisy edge measurements. The measurements are independent and…

Discrete Mathematics · Computer Science 2018-04-18 Vivek Bagaria , Jian Ding , David Tse , Yihong Wu , Jiaming Xu

This paper proposes a hierarchical spatial-temporal model for modelling the spectrograms of animal calls. The motivation stems from analyzing recordings of the so-called grunt calls emitted by various lemur species. Our goal is to identify…

Biomedical signals carry signature rhythms of complex physiological processes that control our daily bodily activity. The properties of these rhythms indicate the nature of interaction dynamics among physiological processes that maintain a…

Machine Learning · Computer Science 2020-12-14 Yassin Khalifa , Danilo Mandic , Ervin Sejdić
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