Identification of the Breach of Short-Term Rental Regulations in Irish Rent Pressure Zones

The housing crisis in Ireland has rapidly grown in recent years. To make a more significant profit, many landlords are no longer renting out their houses under long-term tenancies but under short-term tenancies. Regulating rentals in Rent Pressure Zones with the highest and rising rents is becoming a tricky issue. In this paper, we develop a breach identifier to check short-term rentals located in Rent Pressure Zones with potential breaches only using publicly available data from Airbnb (an online marketplace focused on short-term home-stays) and Irish government websites. First, we use a Residual Neural Network to filter out outdoor landscape photos that negatively impact identifying whether an owner has multiple rentals in a Rent Pressure Zone. Second, a Siamese Neural Network is used to compare the similarity of indoor photos to determine if multiple rental posts correspond to the same residence. Next, we use the Haversine algorithm to locate short-term rentals within a circle centered on the coordinate of a permit. Short-term rentals with a permit will not be restricted. Finally, we improve the occupancy estimation model combined with sentiment analysis, which may provide higher accuracy.

抑制Rent1表达对HeLa细胞黏附能力的影响

Rent1是无义介导的mRNA降解(NMD)通路中的关键因子之一,通过引导含有提前出现的终止密码子(PTC)的mRNA至P-body,从而引发mRNA降解。为了进一步研究Rent1的生理功能,应用RNA干扰(RNAi)技术抑制Rent1的表达。试验发现,抑制Rent1的表达能够增强HeLa细胞对纤维粘连蛋白的黏附能力,另外,抑制Rent1的表达能够增加整合素基因ITGA2、ITGA3、ITGA6、ITGB5的表达。

Marx's Theory of Ground Rent and Nationalization of Land in China

Marx's theory of ground rent is an indispensable part of Marx's economic theory. It is essential to grasp scientific connotation of Marx's theory of ground rent,and actively explore and study theories and policies of socialist ground rent and nationalization of land through combining the certainty of existence of ground rent and actual situations of nationalization of land in China.

Monopoly Causes Inter-industry Wage Differentials

Inter-industry wage differentials in China, measured in terms of average employment earnings by industry, are significant and have been increasing since 1988. The coefficient of variables measuring inter-industry average earning differentials is apparently on the rise along with the subdivision of industry. A theoretical analysis of the labour market indicates that inter-industry wage differentials are mainly due to human capital variation among the employees of different industries and the likelihood of monopoly rent sharing. An empirical study finds that employee characteristics such as sex, age and education can only explain 60 percent of CVs in the period 2003 to 2005 and the rest may be due to the effect of monopoly rent sharing in certain industries. A residual analysis of wage equation proves that the monopoly industries of technology or knowledge share a small proportion of rents with employment, whereas non-competitive monopoly industries generally garner an abnormal share of rents, as much as half of their above-average earnings for their industries. Such abnormal rents and benefits are mainly the result of low cost natural resources, the use of state-owned assets, the misappropriation of consumer welfare and the seeking of fiscal or social subsidy for cost inflation. So, China should deal with the non-competitive monopoly industries by reforming their monopoly power and primary social distribution mechanism to structure a fair income distribution order.

Relativistic Formulae for the Biquaternionic Model of Electro-Gravimagnetic Charges and Currents

Here the biquaternionic model of electro-gravimagnetic field (EGM-field) has been considered, which describes the change of EGM-fields, charges and currents in their interaction. The invariance of these equations with respect to the group of Poincare-Lorentz transformations has been proved. The relativistic formulae of transformation for density of electric and gravity-magnetic charges and currents, active power and forces have been obtained.

基于Rent规则的片上网络局部化特性流量生成算法

针对传统片上网络(NoC)流量模型的空间分布不符合实际应用中通信局部化特性、网络带宽开销大的问题,提出一种基于Rent规则的NoC局部化特性流量生成算法。该算法通过建立有限Mesh结构的通信概率分布模型,并利用通信概率矩阵对各节点匀速发包获得合成流量,实现通信局部化。实验模拟了不同局部化程度、不同网络尺寸的合成流量;仿真结果表明,与Random Uniform、Bit Complement、Reversal、Transpose、Butterfly等5种传统合成流量相比,该算法合成流量的局部化程特性更好、网络带宽开销更低,接近实际通信流量。

混合住宅供应模式“Buy-Rent”的应用研究

"SAR开放住宅理论"由荷兰建筑学者哈布瑞肯提出,其中的混合住宅供应模式"Buy-Rent"将传统住宅消费中"买"和"租"的模式结合起来,使住宅供应从"提供的产品"转变为"提供的服务"。开发商及政府提供"居住的服务",住户购买"居住的服务",这将形成一种良性循环。在我国住宅产业化发展过程中Buy-Rent是值得借鉴的综合运营模式,它能将政府、开发商、住户三方面进行有效整合,对当前我国的保障性住房建设具有重要的借鉴意义。

Posterior Capsular Rent: Risk Factors, Diagnosis and Management

In spite of a steady improvement in the safety of cataract surgery since the inception of phacoemulsification, diagnosing and managing posterior capsular rent still remains a challenge. Identification of the pre-existing risk factors is of utmost importance so that precautionary modifications are done in the surgery to prevent this complication. Once it happens, timely realization and appropriate management can have excellent outcomes.

Preparative separation and purification of deoxyschizandrin from Schisandrae Sphenantherae Fructus by high-speed counter-current chromatography

A high-speed counter-current chromatography （HSCCC） method was successfully developed for the preparative separation and purification of deoxyschizandrin from Schisandrae Sphenantherae Fructus in one step. The purity of deoxyschizandrin was 98.5%, and the structure was identified by MS, UV and NMR. This method was simple, fast, convenient and appropriate to prepare pure compound as reference substances for related research on Schisandrae Sphenantherae Fmctus.

Does labor off-farm employment inevitably lead to land rent out?Evidence from China

The focus of land economics is on how to decrease the misallocation of resources to achieve an optimal allocation of resources. Both the theories of new economics of labor migration(NELM) and the conclusions of empirical studies reveal that land resources will inevitably be reallocated(e.g., rented out) if the resources of family labor are reallocated(e.g., off-farm employment). However, this study reveals that off-farm employment does not inevitably lead to land rent out. More precisely, this study uses survey data on 8031 peasant households from 27 provinces in China and explores the relationship between off-farm employment and land rent out by describing spatial features and through empirical analysis(e.g., IV-Probit model and IV-Tobit model). The results show the following: 1) There is an indirect relationship between off-farm employment and land rent out regarding spatial area aggregation, i.e., regions with a higher ratio of off-farm employment also have a lower area of land rent out. 2) Off-farm employment is significantly positively correlated with the behavior of land rent out, but its square is significantly negatively correlated with the behavior, i.e., there is an inverted U-shaped relationship between off-farm employment and the behavior of land rent out, with the turning point being 55.55% offfarm employment. 3) Off-farm employment is significantly positively correlated with the area of land rent out, but its square is significantly negatively correlated with the area, i.e., there is an inverted Ushaped relationship between off-farm employment and the area of land rent out, with the turning point being 56.22% off-farm employment. This study helps explain why China has a high ratio of off-farm employment but a lower rate of land rent out.

Factors Affecting the Rent of Shops in Commercial Complexes: A Case Study of Shenzhen Shekou Sea World

The rent of shops in commercial complex reflects consumers’ preferences to some extent, and provides references for urban planning and the construction and operation of commercial complex. In this paper, Sea World Commercial Complex in Nanshan District of Shenzhen City is taken as the research object, and correlation and variability analysis on 41 groups of shop data are conducted. It is found that rent of shops in the same commercial complex is affected by location, visibility and area of outdoor stall, while the influence of shop area on rent is not obvious. Additionally, there is no significant correlation between the accessibility to traffic stations and the rent of shops in pedestrian business district.

Sharing of Encrypted Lock Keys in the Blockchain-Based Renting House System from Time- and Identity-Based Proxy Reencryption

To design an efficient protocol for sharing the encrypted lock keys in the renting house system,we introduce a new notion called time-and identitybased proxy reencryption(TIPRE)and the blockchain platform.Our CPA secure TIPRE scheme is constructed from Green et al.’s identity-based proxy reencryption scheme by adding the time property.In every time period,a time stamp authority generates a public key embedded with the current time stamp for each user.In our protocol for the renting house system,the TIPRE scheme is the primary building block,and the blockchain platform serves instead of a trusted third party,such as a real estate agency between landlords and tenants.The TIPRE scheme allows the landlord to change the lock key at each time period for safety.The blockchain platform allows the landlords and tenants to directly interact,and all of the interactions are recorded in the blockchain database to provide the desired security requirements,such as nonrepudiation and unforgeability.Finally,we provide the secure analysis of our protocol and test its performance by implementing it in the MacBook Pro and the Intel Edison development platforms.

Marx's Ground Rent Theory and Innovation of China's Urban Land System

China's traditional urban land system is established in highly centralized planned economy. This system negates functions of value law and economic law fundamentally,so it is not favorable for establishment of market mechanism and development of market economy. This study took Marx's ground rent theory as guidance,combined existing problems of China's land use system,and made analysis on innovation of China's urban land system from property right system,land market and land price.

Stochastic Control Model on Rent Seeking

A continuous-time stochastic model is constructed to analyze how to control rent seeking behaviors. Using the stochastic optimization methods based on the modem risky theory, a unique positive solution to the dynamic model is derived. The effects of preference-related parameters on the optimal control level of rent seeking are discussed, and some policy measures are given. The results show that there exists a unique solution to the stochastic dynamic model under some macroeconomic assumptions, and that raising public expenditure may have reverse effects on rent seeking in an underdeveloped or developed economic environment.

Demand-vs.Supply-Driven Innovation:A Case Study of Alipay Credit Renting Platform

This study updates the source of innovation theories by investigating the relationship between demand-and supply-driven innovation through a study of a fresh Chinese case of Alipay credit renting platform.Based on the primary data collected via interview and focus group discussion,as well as the secondary data from the company’s website and media report,three main findings were obtained.First of all,from this case,we identify an unseparated relationship between demand-and supply-driven innovation and problems arose when one side is isolated and not given full attention.This adds new insights to the research on the source of innovation.Secondly,we propose that blue ocean strategical framework can help connect the demand side with the supply sides and facilitate the innovation.This provides some managerial guidelines to deal with the challenges as observed in this case.Lastly,this paper analyzes this new renting model(Alipay credit renting platform)from both lessors and lessees’perspectives,representing the first study to investigate the credit renting market systematically.

Factors and Spatial Pattern of Housing Rent in Beijing

The spatial pattern and factors of housing rent is elaborated based on the rental price of 12 districts of Beijing City (excluding Miyun District,Yanqing District,Huairou District and Pinggu District).The data from October 1,2019 to October 31,2019 are retrieved from the Beike Rentals website.Based on hedonic price mode,the factors of rent and spatial pattern are analyzed by ordinary least squares regression (OLS) and multi-scale geographic weighted regression (MGWR),respectively.The ordinary least square regression model and multi-scale geographically weighted regression model of the housing rental market in Beijing is constructed.The multi-scale geographically weighted regression model indicates that the factors of rent are also affected by spatial effects,but not all factors are affected.The global factors include number of high schools,number of universities,distance to libraries,distance to gyms,distance to hospitals,number of clinics and number of pharmacies.The visualization of regression coefficients of MGWR model shows that both the area and the distance to metro stations are in the form of a ring space.The pattern of regression coefficient of the number of banks decreases from south to north,and that of the distance to parks decreases from southwest to northeast.The distance to shopping malls has no obvious spatial distribution law.

The Effects of Greenhouse Gases Regulation on Wages and Rents: Policy Issues and General Equilibrium Analysis

The stringency of environmental policy is likely to change the gains of economic agents. Using a general equilibrium model and an assumption that capital-intensive industries tend to be intensive emitters of greenhouse gases (GHG), we find that a stricter GHG emission scheme will reduce the rent for capital owners but increase the wage for workers. This effect could motivate capital owners or workers to oppose or support a stricter GHG policy. The paper also empirically assesses the model’s key assumption by using production input (capital stock and labor), output, and GHG emission data from U.S industrial sectors. The regression result supports a strong positive relationship between the capital-labor ratio and the pollution-output ratio. Therefore, the theoretical analysis is relevant to the actual economy.

Rent or Buy

When John and Victoria Church arrived in New York fromLondon for one-year stay,they brought no furniture with them,Theyhad planned either to live in a furnished apartment or to buy usedfurniture.But they soon learned about a new way of furnishing

A Study on the Mutual Rental Model of Container Shipping Alliance Cabins based on Blockchain

As one of the main modes of capacity sharing in the shipping alliance,the essence of which is the space mutual rent transaction among members.However,under the current trading system,the sharing of capacity between shipping enterprises requires a lot of transaction costs and communication costs,cooperation efficiency is not high,and there is a certain competitive relationship between enterprises,they work for their own interests,resulting in more difficult cooperation,and blockchain consensus mechanism,intelligent contracts,distributed bookkeeping and other characteristics can solve these problems of alliance cooperation.Therefore,based on the idea of blockchain,this paper designs a model of mutual lease cooperation in shipping union cabins,gives the model and process of mutual lease transactions based on blockchain,realizes mutual trust and win-win situation among members,simulates through the combination of Hyperledger Fabric and Matlab,and verifies the applicability of blockchain to shipping alliance capacity sharing cooperation.

A New Era for Tongrentang

BEIJING Tongrentang(Group)Co.,Ltd.(Tongrentang)has been committed to passing down Traditional Chinese Medicine(TCM)and making innovation.Responding to various risks and challenges and overcoming the impact of the COVID-19 pandemic,the time-honored brand of Tongrentang with a history of 352 years is entering a new era.