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An imbalance between energy intake and energy expenditure will lead to a change in body weight (mass) and body composition (fat and lean masses). A quantitative understanding of the processes involved, which currently remains lacking, will…

Tissues and Organs · Quantitative Biology 2015-05-13 Carson C. Chow , Kevin D. Hall

We generated a computational approach to analyze the biomechanics of epithelial cell aggregates, either island or stripes or entire monolayers, that combines both vertex and contact-inhibition-of-locomotion models to include both cell-cell…

We study the impact of dephasing on the excitation dynamics of a cloud of ultracold two-level Rydberg atoms for both resonant and off-resonant laser excitation, using the wave function Monte Carlo (MCWF) technique. We find that while for…

Atomic Physics · Physics 2015-06-18 David W. Schönleber , Martin Gärttner , Jörg Evers

In parallel-connected cells, cell-to-cell (CtC) heterogeneities can lead to current and thermal gradients that may adversely impact the battery performance and aging. Sources of CtC heterogeneity include manufacturing process tolerances,…

Systems and Control · Electrical Eng. & Systems 2025-04-02 Simone Fasolato , Anirudh Allam , Simona Onori , Davide M. Raimondo

In early HIV infection, the virus population escapes from multiple CD8+ cell responses. The later an escape mutation emerges, the slower it outgrows its competition, i. e. the escape rate is lower. This pattern could indicate that the…

Populations and Evolution · Quantitative Biology 2014-09-30 Victor Garcia , Roland Regoes

Many cell types exhibit oscillatory activity, such as repetitive action potential firing due to the Hodgkin-Huxley dynamics of ion channels in the cell membrane or reveal intracellular inositol triphosphate (IP$_3$) mediated calcium…

Cell Behavior · Quantitative Biology 2015-06-26 J. M. A. M. Kusters , J. M. Cortes , W. P. M. van Meerwijk , D. L. Ypey , A. P. R. Theuvenet , C. C. A. M. Gielen

Type 2 diabetes mellitus (T2DM) is one of the most common diseases and a leading cause of death. The problem of early diagnosis of T2DM is challenging and necessary to prevent serious complications. This study proposes a novel neural…

Machine Learning · Computer Science 2023-01-20 Tayyab Nasir , Muhammad Kamran Malik

Alzheimer's disease (AD) is a common form of dementia observed in the elderly due to neurodegenerative disorder and dysfunction. This arises from alterations in synaptic functioning of neurons leading to cognitive impairment and memory…

Neurons and Cognition · Quantitative Biology 2010-11-19 V. Resmi , G. Ambika , R. E. Amritkar , G. Rangarajan

The 2D semiconducting transition metal dichalcogenides (e.g., WS2) host strong coupling between various degrees of freedom leading to potential applications in next-generation device applications including optoelectronics. Such applications…

Mesoscale and Nanoscale Physics · Physics 2023-11-16 Suvodeep Paul , Saheb Karak , Saswata Talukdar , Devesh Negi , Surajit Saha

The linear stability parameter delta is commonly used as a figure of merit for the nonlinear dynamics of the tearing mode. It is shown, through state of the art numerical simulations, that factors other than delta can play a very important…

Plasma Physics · Physics 2015-06-19 F. Militello , D. Grasso , D. Borgogno

Active cell-junction remodeling is important for tissue morphogenesis, yet its underlying physics is not understood. We study a mechanical model that describes junctions as dynamic active force dipoles. Their instability can trigger cell…

Soft Condensed Matter · Physics 2021-11-17 Matej Krajnc , Tomer Stern , Clement Zankoc

Type 2 Diabetes is a fast-growing, chronic metabolic disorder due to imbalanced insulin activity.The motion of this research is a comparative study of seven machine learning classifiers and an artificial neural network method to…

Machine Learning · Computer Science 2023-01-10 Md. Kowsher , Mahbuba Yesmin Turaba , Tanvir Sajed , M M Mahabubur Rahman

The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), beta-cell dysfunction, and incretin deficiency. This review…

Machine Learning · Computer Science 2025-11-07 Ahmed A. Metwally , Heyjun Park , Yue Wu , Tracey McLaughlin , Michael P. Snyder

High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems, and glucose prediction models. However, progress in this…

Machine Learning · Computer Science 2025-06-19 Saman Khamesian , Asiful Arefeen , Bithika M. Thompson , Maria Adela Grando , Hassan Ghasemzadeh

This work presents a first-principles study of the optoelectronic properties of vertically-stacked bilayer heterostructures composed of 2D transition-metal dichalcogenides (TMDs). The calculations are performed using the density-functional…

Materials Science · Physics 2025-01-15 Khushboo Dange , Rachana Yogi , Alok Shukla

Consumption of food in excess of the required optimal nutritional requirements has already resulted in a global crisis and this is from the perspective of human health, such as obesity, as well as food waste and sustainability. In order to…

Computational Engineering, Finance, and Science · Computer Science 2021-04-23 Dixon Vimalajeewa , Sasitharan Balasubramaniam

Individualized therapy is driven forward by medical data analysis, which provides insight into the patient's context. In particular, for Type 1 Diabetes (T1D), which is an autoimmune disease, relationships between demographics, sensor data,…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Beyza Cinar , Maria Maleshkova

Local stresses in a tissue, a collective property, regulate cell division and apoptosis. In turn, cell growth and division induce active stresses in the tissue. As a consequence, there is a feedback between cell growth and local stresses.…

Soft Condensed Matter · Physics 2024-05-06 Sumit Sinha , Xin Li , Abdul N Malmi-Kakkada , D. Thirumalai

Suppression of excessively synchronous beta-band oscillatory activity in the brain is believed to suppress hypokinetic motor symptoms of Parkinson's disease. Recently, a lot of interest has been devoted to desynchronizing delayed feedback…

Neurons and Cognition · Quantitative Biology 2013-03-05 Andrey Dovzhenok , Choongseok Park , Robert M. Worth , Leonid L. Rubchinsky

A biophysical model of arousal dynamics is used to study mechanisms of synchronisation and loss of synchrony among the three key oscillators controlling sleep-wake cycles: the circadian, homeostatic, and light oscillators. Synchronisation…

Biological Physics · Physics 2021-01-22 Dmitry E. Postnov , Ksenia O. Merkulova , Svetlana Postnova