Air pollution has received increasing attention in recent years, particularly China, due to the rapid industrialisation that wrought intense levels of air pollution. A number studies, therefore, have been devoted quantifying impacts on property value China. However, empirical results are somewhat mixed. This naturally raises questions whether there is a significant relationship between quality and housing prices plausible reasons for mixed previous studies. study aims fill this gap by...

Echo hiding algorithm is a type of Information technology which has been widely used. This paper introduces the principle and mathematical model echo algorithm. Generally, traditional just allows to hide 180 bits information in 1 second, order increase capacity, we proposed multiple delayed position It permits each segment 2 data introducing 4 delay positions, expanded space double capacity. The result was tested by experiments, extracted encrypted stable effect showing that this practical...

As a knowledge-intensive organization, the engineering team has complicated knowledge content. The application of base as an information-based and efficient management method to been recognized. It's important evaluate capability according its function find direction optimizing improve applicability in team. Therefore, this study constructs evaluation index system from four aspects acquisition, storage, innovation, realizes comprehensive by AHP cloud model, takes power design case verify...

Reinforcement learning (RL) is a powerful machine technique that enables an intelligent agent to learn optimal policy maximizes the cumulative rewards in sequential decision making. Most of methods existing literature are developed \textit{online} settings where data easy collect or simulate. Motivated by high stake domains such as mobile health studies with limited and pre-collected data, this paper, we study \textit{offline} reinforcement methods. To efficiently use these datasets for...

Reinforcement learning (RL) is a powerful machine technique that enables an intelligent agent to learn optimal policy maximizes the cumulative rewards in sequential decision making. Most of methods existing literature are developed online settings where data easy collect or simulate. Motivated by high stake domains such as mobile health studies with limited and pre-collected data, this paper, we study offline reinforcement methods. To efficiently use these datasets for optimization, propose...

Recently, Contrastive Visual-Language Pre-training (CLIP) has demonstrated remarkable capability in various Visual Language Understanding (VLU) tasks. Yet, most CLIP-based methods require tasks-specific designs and sufficient training data. In this paper, we introduce a simple yet efficient paradigm for low-resource VLU named XtremeCLIP, which involves very few trainable parameters to improve the generalization ability of trained models. our XtremeCLIP framework, reformulate series tasks as...

In order to meet the goal of maximizing traders' profits, we established a hierarchical position management model based on neural network prediction and formulated optimal trading strategy. The uses multi-cycle comprehensive quantify investment from data perspective, reduces risk, provides upward trend for next day. addition, batch opening reducing positions, where amount buying selling follows an exponential distribution, which can minimize holding cost heavy stocks increase profits....

A/B testing is critical for modern technological companies to evaluate the effectiveness of newly developed products against standard baselines. This paper studies optimal designs that aim maximize amount information obtained from online experiments estimate treatment effects accurately. We propose three allocation strategies in a dynamic setting where treatments are sequentially assigned over time. These designed minimize variance effect estimator when data follow non-Markov decision...

Multiple-beam grating interferometry, a hybrid of the multiple-beam interference and is introduced conducted by building Littrow-type cavity with diffraction grating. Based on multi-beam mathematical derivation reveals that fringes interferometry follow general form Airy formulae, while period which additively determined phases from pitches laser wavelength. Two crucial parameters, peak transmission finesse describing brightness sharpness fringes, are defined investigated, whose results...

In this paper, we study the existence of positive and negative solutions for a class fractional Schrodinger equations. Firstly, give definition Laplace operator conditions satisfied by nonlinear terms. This paper introduces previous progress in field, gives definitions space energy functional parts function. Then introduce main results paper. Next, embedding relationship between workspace <i>L^p</i> inner product norm space. order to obtain equation, functions <i>u</i>⁺,...