Revisit euphemisms from the perspective of intentionality

This paper studies the role of intentionality in the process of generating euphemisms. Intentionality, as the key to human consciousness activities, is not only the starting point of the language user’s consciousness activity related to euphemism generation, but also functions through the whole generating process. Its functions can be specified as triggering, orientation, and selection. Collective intentionality restricts individual intentionality and has the function of identifying and integrating individual intentionality. Under the effect of collective intentionality and social environment, the euphemisms are renewed with the time and bear features unique to a particular group.

Rehabilitation And Reconstruction Of Islamic Architectural Heritage In China: The Example Of The Ningxia Hui Autonomous Region

The Ningxia Hui Autonomous Region, located in Northwestern China, has the highest concentration of Hui Muslims in China: around 34% of the local population is Hui Muslim. Following the anti-religious campaigns of the communist regime and the wide destruction of the Cultural Revolution, Hui Muslims began gradually to reclaim their Muslim heritage in the late 70's. A major aspect of the rediscovery of their Islamic heritage was the Rehabilitation and reconstruction of Islamic Architectural buildings. As of today, Ningxia counts 4,500 mosques and other religious buildings. The present article seeks to introduce the architectural tendencies at play in this reconstruction, specifically the role of competing Arabic and Chinese influences

Vehicle Speed Aware Computing Task Offloading and Resource Allocation Based on Multi-Agent Reinforcement Learning in a Vehicular Edge Computing Network

For in-vehicle application, the vehicles with different speeds have different delay requirements. However, vehicle speeds have not been extensively explored, which may cause mismatching between vehicle speed and its allocated computation and wireless resource. In this paper, we propose a vehicle speed aware task offloading and resource allocation strategy, to decrease the energy cost of executing tasks without exceeding the delay constraint. First, we establish the vehicle speed aware delay constraint model based on different speeds and task types. Then, the delay and energy cost of task execution in VEC server and local terminal are calculated. Next, we formulate a joint optimization of task offloading and resource allocation to minimize vehicles' energy cost subject to delay constraints. MADDPG method is employed to obtain offloading and resource allocation strategy. Simulation results show that our algorithm can achieve superior performance on energy cost and task completion delay.Comment: 8 pages, 6 figures, Accepted by IEEE International Conference on Edge Computing 202

A stochastic control problem arising from relaxed wealth tracking with a monotone benchmark process

This paper studies a nonstandard stochastic control problem motivated by the optimal consumption in an incomplete market with wealth tracking of a non-decreasing benchmark process. In particular, the monotone benchmark is modelled by the running maximum of a drifted Brownian motion. We consider a relaxed tracking formulation using capital injection such that the wealth compensated by the injected capital dominates the benchmark process at all times. The stochastic control problem is to maximize the expected utility on consumption deducted by the cost of the capital injection under the dynamic floor constraint. By introducing two auxiliary state processes with reflections, an equivalent auxiliary control problem is formulated and studied such that the singular control of capital injection and the floor constraint can be hidden. To tackle the HJB equation with two Neumann boundary conditions, we establish the existence of a unique classical solution to the dual PDE in a separation form using some novel probabilistic representations involving the dual reflected processes and the local time. The proof of the verification theorem on the optimal feedback control can be carried out by some technical stochastic flow analysis of the dual reflected processes and estimations of the optimal control.Comment: Keywords: Non-decreasing benchmark, capital injection, optimal consumption, Neumann boundary conditions, probabilistic representation, reflected diffusion processe

An extended Merton problem with relaxed benchmark tracking

This paper studies a Merton's optimal portfolio and consumption problem in an extended formulation incorporating the tracking of a benchmark process described by a geometric Brownian motion. We consider a relaxed tracking formulation such that that the wealth process compensated by a fictitious capital injection outperforms the external benchmark at all times. The fund manager aims to maximize the expected utility of consumption deducted by the cost of the capital injection, where the latter term can also be regarded as the expected largest shortfall with reference to the benchmark. By introducing an auxiliary state process with reflection, we formulate and tackle an equivalent stochastic control problem by means of the dual transform and probabilistic representation, where the dual PDE can be solved explicitly. On the strength of the closed-form results, we can derive and verify the feedback optimal control in the semi-analytical form for the primal control problem, allowing us to observe and discuss some new and interesting financial implications on portfolio and consumption decision making induced by the additional risk-taking in capital injection and the goal of tracking.Comment: Keywords: Benchmark tracking, capital injection, expected largest shortfall, consumption and portfolio choice, Neumann boundary conditio