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This white paper introduces the Weak Signal Cultivation Model (WSCM). WSCM is a human-centric framework for detecting, structuring, and tracking weak risk signals as observed by frontline staff. The model centers on a continuous [0,10] x…

Human-Computer Interaction · Computer Science 2026-04-03 Maurice Codourey , Emmanuel A. Gonzalez

The TGF-beta pathway plays a central role in tissue homeostasis and morphogenesis. It transduces a variety of extracellular signals into intracellular transcriptional responses that control a plethora of cellular processes, including cell…

Molecular Networks · Quantitative Biology 2007-05-23 Jose M. G. Vilar , Ronald Jansen , Chris Sander

Transformers have become the de facto backbone of modern deep learning, yet their training typically demands an advanced optimizer with adaptive learning rate like AdamW, rather than a momentum SGDW (mSGDW). Previous works show that it is…

Machine Learning · Computer Science 2025-07-24 Xianbiao Qi , Marco Chen , Wenjie Xiao , Jiaquan Ye , Yelin He , Chun-Guang Li , Zhouchen Lin

Wide neural networks are biased towards learning certain functions, influencing both the rate of convergence of gradient descent (GD) and the functions that are reachable with GD in finite training time. As such, there is a great need for…

Machine Learning · Computer Science 2024-03-21 Amnon Geifman , Daniel Barzilai , Ronen Basri , Meirav Galun

The Wnt signaling pathway plays a critical role in various biochemical processes, including embryonic development, tissue homeostasis, and cancer progression. In this paper, we conduct a comparative analysis of $\beta$-catenin-dependent Wnt…

Dynamical Systems · Mathematics 2024-03-29 Bryan S. Hernandez , Patrick Vincent N. Lubenia , Eduardo R. Mendoza

The Circle of Willis (CoW) is the part of cerebral vasculature responsible for delivering blood to the brain. Understanding the diverse anatomical variations and configurations of the CoW is paramount to advance research on cerebrovascular…

Image and Video Processing · Electrical Eng. & Systems 2023-08-15 Yash Deo , Haoran Dou , Nishant Ravikumar , Alejandro F. Frangi , Toni Lassila

Embryonic development is driven by spatial patterns of gene expression that determine the fate of each cell in the embryo. While gene expression is often highly erratic, embryonic development is usually exceedingly precise. In particular,…

Molecular Networks · Quantitative Biology 2015-06-11 Thomas R. Sokolowski , Thorsten Erdmann , Pieter Rein ten Wolde

Deep learning-based models have greatly advanced the performance of speech enhancement (SE) systems. However, two problems remain unsolved, which are closely related to model generalizability to noisy conditions: (1) mismatched noisy…

Audio and Speech Processing · Electrical Eng. & Systems 2020-12-29 Cheng Yu , Ryandhimas E. Zezario , Syu-Siang Wang , Jonathan Sherman , Yi-Yen Hsieh , Xugang Lu , Hsin-Min Wang , Yu Tsao

Convergence-extension in embryos is controlled by chemical and mechanical signalling. A key cellular process is the exchange of neighbours via T1 transitions. We propose and analyse a model with positive feedback between recruitment of…

Biological Physics · Physics 2022-04-05 Rastko Sknepnek , Ilyas Djafer-Cherif , Manli Chuai , Cornelis J. Weijer , Silke Henkes

Diffusion Probabilistic Models have demonstrated remarkable performance across a wide range of generative tasks. However, we have observed that these models often suffer from a Signal-to-Noise Ratio-timestep (SNR-t) bias. This bias refers…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Meng Yu , Lei Sun , Jianhao Zeng , Xiangxiang Chu , Kun Zhan

Homeostatic mechanisms play a crucial role in maintaining optimal functionality within the neural circuits of the brain. By regulating physiological and biochemical processes, these mechanisms ensure the stability of an organism's internal…

Neural and Evolutionary Computing · Computer Science 2025-11-25 Yunduo Zhou , Bo Dong , Chang Li , Yuanchen Wang , Xuefeng Yin , Yang Wang , Xin Yang

Motivated by recent studies of symmetry protected topological (SPT) phases, we explore the possible gapless quantum disordered phases in the $(2+1)d$ nonlinear sigma model defined on the Grassmannian manifold $\frac{U(N)}{U(n)\times U(N -…

Strongly Correlated Electrons · Physics 2016-05-31 Zhen Bi , Alex Rasmussen , Yoni BenTov , Cenke Xu

Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life. Developmental scientists are particularly interested in the first few years of neurodevelopment.…

Image and Video Processing · Electrical Eng. & Systems 2021-05-31 Xuzhe Zhang , Xinzi He , Jia Guo , Nabil Ettehadi , Natalie Aw , David Semanek , Jonathan Posner , Andrew Laine , Yun Wang

Quantum kernel methods are promising for near-term quantum ma- chine learning, yet their behavior under data corruption remains insuf- ficiently understood. We analyze how quantum feature constructions degrade under controlled additive…

Machine Learning · Computer Science 2026-02-24 Pablo Herrero Gómez , Antonio Jimeno Morenilla , David Muñoz-Hernández , Higinio Mora Mora

Quantum interference is studied in a three-band model of pseudospin-one fermions in the $\alpha-\mathcal{T}_3$ lattice. We derive a general formula for magnetoconductivity that predicts a rich crossover between weak localization (WL) and…

Mesoscale and Nanoscale Physics · Physics 2023-06-28 Adesh Singh , G. Sharma

Timely up- or down-regulation of gene expression is crucial for cellular differentiation and function. While gene upregulation via transcriptional activators has been extensively investigated, gene silencing remains understudied, especially…

Biological Physics · Physics 2025-09-15 Massimiliano Semeraro , Giuseppe Negro , Davide Marenduzzo , Giada Forte

Organisms are equipped with regulatory systems that display a variety of dynamical behaviours ranging from simple stable steady states, to switching and multistability, to oscillations. Earlier work has shown that oscillations in protein…

Molecular Networks · Quantitative Biology 2009-11-13 Simone Pigolotti , Sandeep Krishna , Mogens H. Jensen

Diabetic-induced peripheral neuropathy (DPN) is a diabetic late complication. The molecular mechanisms underlying the pathophysiology of nerve damage & sensory loss remain largely unclear. Recently, alterations in metabolic flux have gained…

Cell Behavior · Quantitative Biology 2018-03-20 Daniel Rangel Rojas , Rohini Kuner , Nitin Agarwal

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

Plants depend on the signaling of the phytohormone auxin for their development and for responding to environmental perturbations. The associated biomolecular signaling network involves a negative feedback at the level of the Aux/IAA…

Molecular Networks · Quantitative Biology 2018-01-30 Silvia Grigolon , Barbara Bravi , Olivier C. Martin