25,558 research outputs found

    A Stacked Segmented Adaptive Power Amplifier in 22nm FD-SOI

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    This work was supported by Soitec. (Corresponding author: Aritra Banerjee.

    Lattice study of a magnetic contribution to heavy quark momentum diffusion

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    Heavy quarks placed within a hot QCD medium undergo Brownian motion, characterized by specific transport coefficients. Their determination can be simplified by expanding them in T/M, where T is the temperature and M is a heavy quark mass. The leading term in the expansion originates from the colour-electric part of a Lorentz force, whereas the next-to-leading order involves the colour-magnetic part. We measure a colour-magnetic 2-point correlator in quenched QCD at T ∼ (1.2 − 2.0)Tc. Employing multilevel techniques and non-perturbative renormalization, a good signal is obtained, and its continuum extrapolation can be estimated. Modelling the shape of the corresponding spectral function, we subsequently extract the momentum diffusion coefficient, κ. For charm (bottom) quarks, the magnetic contribution adds ∼ 30% (10%) to the electric one. The same increases apply also to the drag coefficient, η. As an aside, the colour-magnetic spectral function is computed at NLO

    Author Exchange

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    Anthropologist Mukulika Banerjee and political scientist Sushmita Pati have a conversation about their recently published books set in rural Bengal and Delhi’s urban villages, respectively. They situate their analyses of the intersections between democracy, capitalism, urbanization, and globalization in events, relations, and cultures of the everyday. Their exchange offers important insights for how political subjectivities and social ties are differently constituted or, to use Banerjee’s term, “cultivated” in these two settings. The two books offer a fine-grained view of how active citizenship in rural and urban India is refracted through distinct social and institutional structures. India is home to some of the world’s largest cities while more than 900 million people continue to live in the countryside. Its democratic future is therefore inextricably tied to the evolution of political behavior and political economy in both contexts, and, as Banerjee and Pati’s joint response indicates, to how urban and rural dynamics shape each other through (but not only through) migrants and their networks. Contents: Review of Mukulika Banerjee’s \u27Cultivating Democracy: Politics and Citizenship in Agrarian India\u27 by Sushmita Pati Response from Mukulika Banerjee Review of Sushmita Pati’s \u27Properties of Rent: Community, Capital and Politics in Globalising Delhi\u27 by Mukulika Banerjee Response from Sushmita Pati Joint Commentary from Banerjee and Pat

    Modica Type Gradient Estimates for Reaction-Diffusion Equations

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    We continue the study of Modica type gradient estimates for inhomogeneous parabolic equations initiated in Banerjee and Garofalo (Nonlinear Anal. Theory Appl., to appear). First, we show that for the parabolic minimal surface equation with a semilinear force term if a certain gradient estimate is satisfied at t = 0, then it holds for all later times t > 0. We then establish analogous results for reaction-diffusion equations such as (5) below in Ω × [0, T], where Ω is an epigraph such that the mean curvature of ∂ Ω is nonnegative. We then turn our attention to settings where such gradient estimates are valid without any a priori information on whether the estimate holds at some earlier time. Quite remarkably (see Theorems 4.1, 4.2 and 5.1), this is true for Rn×(−∞,0] and Ω×(−∞,0], where Ω is an epigraph satisfying the geometric assumption mentioned above, and for M×(−∞,0], where M is a connected, compact Riemannian manifold with nonnegative Ricci tensor. As a consequence of the gradient estimate (7), we establish a rigidity result (see Theorem 6.1 below) for solutions to (5) which is the analogue of Theorem 5.1 in Caffarelli et al. (Commun. Pure Appl. Math. 47, 1457–1473, 1994). Finally, motivated by Theorem 6.1, we close the paper by proposing a parabolic version of the famous conjecture of De Giorgi also known as the ε-version of the Bernstein theorem

    Photograph of Salil Kumar Banerjee

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    Portrait of Banerjee at approximately 22 years old

    Volatility and growth: credit constraints and productivity-enhancing investment

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    We examine how credit constraints affect the cyclical behavior of productivity-enhancing investment and thereby volatility and growth. We first develop a simple growth model where firms engage in two types of investment: a short-term one and a long-term productivity-enhancing one. Because it takes longer to complete, long-term investment has a relatively less procyclical return but also a higher liquidity risk. Under complete financial markets, long-term investment is countercyclical, thus mitigating volatility. But when firms face tight credit constraints, long-term investment turns procyclical, thus amplifying volatility. Tighter credit therefore leads to both higher aggregate volatility and lower mean growth for a given total investment rate. We next confront the model with a panel of countries over the period 1960-2000 and find that a lower degree of financial development predicts a higher sensitivity of both the composition of investment and mean growth to exogenous shocks, as well as a stronger negative effect of volatility on growth

    Dataset supporting thesis titled: Investigation of monitoring technologies to deliver ‘Pill-in-the-Pocket’ oral anticoagulation in atrial fibrillation

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    This zip file contains the spreadsheets for the following publications: Chapter 3: &#39;Pill-in-the-pocket&#39; Oral Anticoagulation Guided by Daily Rhythm Monitoring for Stroke Prevention in Patients with AF: A Systematic Review and Meta-analysis. Briosa E Gala A, Pope MTB, Leo M, Sharp AJ, Tsoi V, Paisey J, Curzen N, Betts TR. Arrhythm Electrophysiol Rev. 2023 Mar 2;12:e05. doi: 10.15420/aer.2022.22. eCollection 2023. Chapter 4: &quot;Real-world&quot; performance of the Confirm Rx&trade; SharpSense AF detection algorithm: UK Confirm Rx study. Gala ABE, Pope MTB, Leo M, Sharp AJ, Banerjee A, Field D, Thomas H, Balasubramaniam R, Hunter R, Gardner RS, Wilson D, Gallagher MM, Ormerod J, Paisey J, Curzen N, Betts TR. J Arrhythm. 2024 Sep 3;40(5):1093-1101. doi: 10.1002/joa3.13124. eCollection 2024 Oct. Chapter 5: Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection. Briosa E Gala A, Sharp AJ, Schramm D, Pope MTB, Leo M, Varini R, Banerjee A, Win KZ, Kalla M, Paisey J, Curzen N, Betts TR.Hea rt Rhythm O2. 2025 Mar 26;6(6):808-817. doi: 10.1016/j.hroo.2025.03.019. eCollection 2025 Jun. Chapter 6: Real-time smartphone alerts during atrial fibrillation episodes with implantable cardiac monitors and wearable devices: SMART-ALERT study. Briosa E Gala A, Sharp AJ, Pope MTB, Leo M, Varini R, Paisey J, Curzen N, Banerjee A, Betts TR. Heart Rhythm. 2025 Apr 15:S1547-5271(25)02331-8. doi: 10.1016/j.hrthm.2025.04.015. Online ahead of print.</span

    Banerjee_QSurvey_RawDataSet_PPC

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    Raw dataset for questionnaire survey study (kinesiology taping_cancer care continuum)Author: Gourav Banerjee et alJournal: Progress in Palliative Care</div

    Volatility and Growth: Credit Constraints and Productivity-Enhancing Investment

    No full text
    We examine how credit constraints affect the cyclical behavior of productivity-enhancing investment and thereby volatility and growth. We first develop a simple growth model where firms engage in two types of investment: a short-term one and a long-term productivity-enhancing one. Because it takes longer to complete, long-term investment has a relatively less procyclical return but also a higher liquidity risk. Under complete financial markets, long-term investment is countercyclical, thus mitigating volatility. But when firms face tight credit constraints, long-term investment turns procyclical, thus amplifying volatility. Tighter credit therefore leads to both higher aggregate volatility and lower mean growth for a given total investment rate. We next confront the model with a panel of countries over the period 1960-2000 and find that a lower degree of financial development predicts a higher sensitivity of both the composition of investment and mean growth to exogenous shocks, as well as a stronger negative effect of volatility on growth.
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