In this study, we calculate the sensitivity reach on vector leptoquark (LQ) $U_1$ at experiments proposed in Forward Physics Facility (FPF), including FASER$\nu$, FASER$\nu2$, FLArE (10 tons), and (100 tons) using neutrino-nucleon scattering ($\nu N \rightarrow \nu N'$ $\nu l N'$). We cover a wide mass range of $10^{-3}$ GeV $\leq M_{LQ}\leq 10^4$ GeV. The new result shows that offers best to L...

This paper examines the trends in costs associated with the various low technology shoreline clean-up methods that were used in the response to the SEA EMPRESS incident, by drawing on information gathered during the response and the subsequent claims for compensation from the local government councils involved. Analysis of the costs allowed the level of effort invested in shoreline cleaning to ...

This paper presents a VLSI design of a TomlinsonHarashima (TH) precoder for multi-user MIMO (MU-MIMO) systems. The TH precoder consists of LQ decomposition (LQD), interference cancellation (IC), and weight coefficient multiplication (WCM) units. The LQ decomposition unit is based on an application specific instruction-set processor (ASIP) architecture with floating-point arithmetic for high acc...

Since the mid-1980s, there has been growing interest in adapting the lot quality (LQ) technique to monitor the quality of health care services, especially in developing countries. This global review has identified a total of 34 LQ surveys conducted from 1984 to 1996 in Africa, the Americas, Europe, South-East Asia, and the Western Pacific. Health care parameters assessed in the surveys varied a...

We study stochastic linear quadratic LQ optimal control problems over an in nite time horizon allowing the cost matrices to be inde nite We develop a systematic approach based on semide nite programming SDP A central issue is the stability of the feedback control and we show this can be e ectively examined through the complementary duality of the S DP Furthermore we establish several implicatio...

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We examine the linear-quadratic (LQ) approximation of non-linear stochastic dynamic optimization problems in macroeconomics, in particular for monetary policy. We make four main contributions: first, we draw attention to a general Hamiltonian framework for LQ approximation due to Magill (1977). We show that the procedure for the ‘large distortions’ case of Benigno and Woodford (2003, 2005) is e...

We consider the estimation of regression coefficients in a high-dimensional linear model. For regression coefficients in lr balls, we provide lower bounds for the minimax lq risk and minimax quantiles of the lq loss for all design matrices. Under an l0 sparsity condition on a target coefficient vector, we sharpen and unify existing oracle inequalities for the Lasso and Dantzig selector. We deri...

The linear-quadratic (LQ) model is widely used to model the effect of total dose and dose per fraction in conventionally fractionated radiotherapy. Much of the data used to generate the model are obtained in vitro at doses well below those used in radiosurgery. Clinically, the LQ model often underestimates tumor control observed at radiosurgical doses. The underlying mechanisms implied by the L...