We use a novel text-based classification method to identify green trademarks that capture environmentally friendly products and services introduced to the market. Firms with more green products generate higher green revenues, emit less greenhouse gas, and receive higher environmental ratings. These firms also exhibit higher firm value, particularly when green products align with core businesses and prior experience and generate product synergies.

Professor Han Weimin, who graduated from Fudan University in 1983, received a master's degree from the Chinese Academy of Sciences in 1986 and a doctor's degree from the University of Maryland in 1991. Since 1991, he has been working at the University of Iowa in the United States. Now he is professor and director of the department of mathematics and director of the interdisciplinary doctoral training base of applied mathematics and computational science (AMCS).

In the ideal limit and in the absence of external forces, the incompressible Navier–Stokes equations preserve fundamental invariants, including kinetic energy and helicity. From a numerical perspective, failure to respect these invariants may reduce the physical reliability of long-time simulations of three-dimensional flows. However, numerical methods that simultaneously preserve kinetic energy and helicity remai

When the number of assets is larger than the sample size, the minimum variance portfolio interpolates the training data, delivering pathological zero in-sample variance. We show that if the weights of the zero variance portfolio are learned by a novel “Ridgelet” estimator, in a new test data this portfolio enjoys out-of-sample generalizability. It exhibits the double descent phenomenon and can achieve optimal ris

Thermo-poroelastic models capture the interplay between elastic porous material deformation, fluid flow, and thermal effects under non-isothermal conditions. This talk presents a four-field formulation for the linear thermo-poroelastic model and introduces two novel algorithms. The first focuses on constructing parameter-robust preconditioners for the resulting linear system, proposing two approaches: one reo

In this talk, we begin with the development of distributional finite element complexes, including the distributional div div and curl div complexes. In the main part of the talk, we discuss applications of these complexes to partial differential equations, such as the biharmonic equation, fourth-order elliptic singular perturbation problems, quad-curl problems, and the Stokes equation. We also present a distributional formulation and a corresponding discretization for strain gradient elasticity.

This study examines how improved judicial independence affects corporate governance using the staggered establishment of circuit courts in China.

The bootstrap is a computer-based resampling method that can provide good approximations to the finite sample distribution of a given statistic. In this talk some methods to use the empirical bootstrap approach for stochastic gradient descent (SGD) to minimize the empirical risk over a Hilbert space are investigated from the view point of algorithmic stability and statistical robustness.

The local smoothing conjecture for wave equations was raised by Sogge, initially aiming to understand Stein's spherical maximal function. Because of its close connection to the Fourier transform of the surface measure of the sphere, the local smoothing conjecture has become a central topic in harmonic analysis. I

Arnak Dalalyan is a full professor of Statistics at ENSAE Paris. He obtained his PhD (2001) from Le Mans University on Statistics for Random Processes. He was a postdoctoral fellow (2002–03) at the Humboldt University of Berlin, an assistant professor (2003–08) at Paris 6 University and a research professor at ENPC (2008–2011). Arnak’s research focuses on high dimensional statistics, statistics of diffusion processes and statistical learning theory.

This study examines how large language models (LLMs) affect language barriers and disparities in publication outcomes and research impact for English-as-a-Foreign-Language (EFL) scholars.

This work investigates both steady and unsteady nonlinear systems that couple the generalized convective Brinkman-Forchheimer model with a system of advection-diffusion equations, commonly referred to as double-diffusion equations.

Luo Yulei is currently a professor of economics at the University of Hong Kong. He received his Ph.D. in economics from Princeton University in 2005. His primary research interests include macroeconomics, household finance, and international finance. His research has been published in various international academic journals.

Jingyu Zhang joined Queen’s University as Assistant Professor of Finance at Stephen J.R. Smith School of Business after obtaining his PhD in Finance from Imperial College London. His research has focused on information economics, corporate insider trades, and entrepreneurial financing.

We analyze the causal type of both Killing vector fields and Killing spinors. As an application we give a proof of Bartnik's stationary vacuum conjecture from 1989 and geometrically characterize Siklos wave spacetimes.

Professor Geoffrey Smith earned his PhD in 1981 at the laboratory of Alan Hay at the National Institute for Medical Research, London, UK (the predecessor of the Francis Crick Institute), focusing on the replication mechanism of influenza virus. Between 1981 and 1984, he conducted postdoctoral research at the laboratory of Bernard Moss at the National Institutes of Health (NIH) in the United States.

Global governance was first coined in the early and optimistic days following the end of the Cold War. Capitalizing on an ending to the Cold War no one expected, the international community experienced thoughts of new beginnings and possibilities. Confrontation and fear would now yield to cooperation and optimism.

Jeremy Aroles is an Associate Professor in Organization Studies. He joined the School for Business and Society at the University of York in December 2021, where he currently serves as Deputy Dean. Prior to this, he held academic positions at Durham University and the University of Manchester, where he earned his PhD in 2016.

Prof. Louwerse worked for almost 20 years in both in the UK and the US, authored over 200 scientific publications in computational and psycholinguistics, virtual reality, embodied cognition, and educational technologies. He holds two patents, and acquired €50M in research funding. Louwerse is a blogger for Psychology Today, and is author of the popular science books “Keeping those words in mind: How language creates meaning” and “Understanding human and artificial minds.”

Minseok Choi received his B.S. and M.S. degrees from Seoul National University, South Korea, and his Ph.D. in Applied Mathematics from Brown University, USA. After completing his Ph.D., he worked as a Postdoctoral Researcher at Princeton University before joining Pohang University of Science and Technology (POSTECH), where he is currently an Associate Professor of Mathematics.