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Focusing on the growth mechanisms of returnee entrepreneurial firms, this study selects three companies from different industries: Infocore Tech, Zaagtech and Pushkang Biotech, for a multiple case comparative analysis. Based on the analytical chain of "resource integration-institutional arbitrage-performance output", the study reveals how firms mobilize both domestic and international technologica
This case describes the two entrepreneurial experiences before and after the return of Mr. Yongjian Ren, the founder of Hangzhou Infocore Technology Co., Ltd., and the impact of his personal characteristic on his entrepreneurship. In the context of the new period of "returnee entrepreneurship", fast technological innovation and capital surges, "eager for success" and "hurry for success" have becomThis case describes the two entrepreneurial experiences before and after the return of Mr. Yongjian Ren, the founder of Hangzhou Infocore Technology Co., Ltd., and the impact of his personal characteristic on his entrepreneurship. In the context of the new period of "returnee entrepreneurship", fast technological innovation and capital surges, "eager for success" and "hurry for success" have becom
A multidimensional model of biofilm growth present in the supernatant water of a Slow Sand Filter is derived. The multiphase model, consisting of solid and liquid phases, is written as a convection-reaction system with a Cahn–Hilliard-type equation with degenerate mobility coupled to a Stokes-flow equation for the mixture velocity. An upwind discontinuous Galerkin approach is used to approximate t
Highly accurate datasets from numerical or physical experiments are often expensive and time-consuming to acquire, posing a significant challenge for applications that require precise evaluations, potentially across multiple scenarios and in real-time. Even building sufficiently accurate surrogate models can be extremely challenging with limited high-fidelity data. Conversely, less expensive, low-
We present an exact dimensional reduction for ensembles of N identical dynamical units governed by ordinary differential equations of order M with quasi-linear structure. In these systems, each unit follows a linear differential equation whose coefficients depend nonlinearly on the ensemble of variables, such as a mean field, giving rise to a large class of network dynamical systems. We derive M+1
Winner of the 1938 Littoriali della Cultura e dell’Arte, the project for a Hotel-Refuge in Valmalenco (2000 m altitude) by Gianni Albricci (1916-2001) and Marco Zanuso (1916-2001) was conceived by two young students from the Faculty of Architecture at the Politecnico di Milano. The skillful design combines traditional alpine materials with innovative solutions, reflecting the autarkic policies of
We introduce the Koopman-inspired Fourier Neural Operator (kFNO) for predicting complex flame instabilities governed by nonlinear PDEs. Leveraging Koopman theory to lift dynamics into a high-dimensional latent space, kFNO improves short-term accuracy and long-term statistical fidelity. We validate kFNO on synthesized flame fronts from re-scaled Sivashinsky equations (modeling hybrid Darrieus–Landa
The Nature-Based Solutions (NbS) framework offers a promising pathway to address societal challenges such as food security, water management, and biodiversity loss, all under accelerating climate change. Aquatic ecosystems are central to addressing these challenges; however, their current implementation remains largely focused on isolated sites, limiting their effectiveness at landscape scales. He
The aim of this study is to investigate what women do in disaster situations and how both men and women perceive and discuss the work of women. These patterns were evidenced in the stories that were told following the largest forest fire in the modern history of Sweden in July 2014. The study is based on 31 retrospective interviews with volunteers involved in combating the forest fire and concentr
We initiate a systematic study of TFZPP, the class of total NP search problems solvable by polynomial time randomized algorithms. TFZPP contains a variety of important search problems such as Bertrand-Chebyshev (finding a prime between N and 2N), refuter problems for many circuit lower bounds, and Lossy-Code. The Lossy-Code problem has found prominence due to its fundamental connections to derando
We study the problem of testing whether a function f:ℝⁿ → ℝ is linear (i.e., both additive and homogeneous) in the distribution-free property testing model, where the distance between functions is measured with respect to an unknown probability distribution over ℝⁿ. We show that, given query access to f, sampling access to the unknown distribution as well as the standard Gaussian, and ε > 0, we ca
We introduce and develop a new semi-algebraic proof system, called Stabbing Planes that is in the style of DPLL-based modern SAT solvers. As with DPLL, there is only one rule: the current polytope can be subdivided by branching on an inequality and its "integer negation." That is, we can (nondeterministically choose) a hyperplane a x >= b with integer coefficients, which partitions the polytope in
We study the computational complexity of the Viterbi alignment and relaxed decoding problems for IBM model 3, focusing on the problem of finding a solution which has significant overlap with an optimal. That is, an approximate solution is considered good if it looks like some optimal solution with a few mistakes, where mistakes can be wrong values (such as a word aligned incorrectly or a wrong wor
The transition to a circular economy has placed growing pressure on packaging systems to enable effective material recovery across increasingly complex waste and recycling infrastructures. Focus on aggregate recycling rates obscure the stage- specific inefficiencies that determine whether packaging material re- enters production, making it difficult to target packaging design efforts, infrastruc
The shift toward smart grids encourages businesses to adapt their operations to ensure long-term sustainability by integrating energy storage systems (ESS). Innovation is crucial for entering new markets and providing a competitive advantage. Therefore, this research focuses on variables impacting business model innovation in the grid to improve the performance of the energy storage market (ESM).
Marketing intelligence implies the application of advanced and digital technologies in making strategic marketing decisions. The objective of the research is to analyze the impact of marketing intelligence, organizational-centered strategic and tactical decision-making on customer satisfaction and loyalty. The study collected responses from 366 industry professionals holding key strategic, tactica
