Fast and approximate exhaustive variable selection for generalised linear models with APES

We present APproximated Exhaustive Search (APES), which enables fast and approximated exhaustive variable selection in Generalised Linear Models (GLMs). While exhaustive variable selection remains as the gold standard in many model selection contexts, traditional exhaustive variable selection suffers from computational feasibility issues. More precisely, there is often a high cost associated with computing maximum likelihood estimates (MLE) for all subsets of GLMs. Efficient algorithms for exhaustive searches exist for linear models, most notably the leaps‐and‐bound algorithm and, more recently, the mixed integer optimisation (MIO) algorithm. The APES method learns from observational weights in a generalised linear regression super‐model and reformulates the GLM problem as a linear regression problem. In this way, APES can approximate a true exhaustive search in the original GLM space. Where exhaustive variable selection is not computationally feasible, we propose a best‐subset search, which also closely approximates a true exhaustive search. APES is made available in both as a standalone R package as well as part of the already existing mplot package.     

The Social Inclusion and Inequality Nexus: EU versus non‐EU migrants

This study examines the relationship between social inclusions of migrant and income inequality. Both positive and negative impacts of social inclusion on income inequality have been observed in the previous literature. This study specifically considers two types of migration flow: migration flow from EU and migration flow from non‐EU. The aim of this article is twofold: 1) is there a strong association between social inclusion of migrants and income inequality, 2) is there any different impact of social inclusion of two types of migrants (EU vs non‐EU)? Using data from 33 mainly European countries over the period 2003‐2015 and controlling for savings rate, arable land rate and age‐dependency ratio, our results indicate that there is a significant negative relationship between social inclusion and income inequality. In particular, we find that social inclusion from non‐EU migrants significantly reduces income inequality compare with EU migrants.     

The Role of Self-Conscious Emotions in the Sexual Health of Gay and Bisexual Men: Psychometric Properties and Theoretical Validation of the Sexual Shame and Pride Scale

Researchers have theorized about the role of sexual shame as a mechanism through which sexual minority stress manifests into mental health difficulties, such as sexual compulsivity for gay and bisexual men (GBM), and about the resilience-promoting effects of sexual pride. However, no validated measures to date have directly tapped into these constructs rather than using proxies for them, such as internalized homonegativity. We developed the Sexual Shame and Pride Scale (SSPS) and conducted a psychometric evaluation of it using a sample of 260 highly sexually active GBM. The scale had the expected structure in factor analysis and showed evidence of internal consistency and test–retest reliability. Correlational analyses demonstrated the convergent validity of sexual shame and sexual pride with relevant constructs. Regression analyses demonstrated the predictive validity of sexual shame in relation to sexual compulsivity, accounting for unique variability even after adjusting for previously demonstrated etiological factors, and the predictive validity of both shame and pride, which interacted to consistently predict four sexual behavior outcomes. Findings suggest the SSPS is a psychometrically valid and reliable measure that may be useful in future empirical work and highlight preliminary evidence for the role of these constructs in the sexual health of GBM.     

Perimeter-area ratio effects of urbanization intensity on forest characteristics,landscape patterns and their associations in Harbin City,Northeast China

To maximize the ecological services of urban forests, a better understanding of the effects of urbanization on urban forest characteristics, landscape metrics, and their associations is needed for landscape-related regulations in space-limited green infrastructure of metropolitan regions. In this study, Harbin, a typical fast-growing provincial-capital city in Northeast China, is used as a case study. Based on remote sensing images, field surveys, and correlation and variation partitioning analyses, we conclude that landscape characteristics and forest attributes have large variations among different urbanization intensity (UI) regions. Forest patch density (PD), landscape shape index, woody plants species richness, and the Shannon–Wiener index (H′) increased linearly, while stem section area and tree height decreased linearly with the increasing of UIs. UI had a greater influence on tree size and forest community attributes than the forest landscape pattern. Accordingly, any landscape regulation on forest attributes should be implemented according to UIs. In addition, Euclidean nearest neighbor distance(ENN-MN), mean perimeter-area ratio (PARA-MN), fractal dimension index(FRAC-MN), and PD could probably indicate forest attributes the most, e.g., the increase of PARA-MN may be accompanied with taller trees in low and heavy UI regions, but lower woody plants species evenness in low and medium UI regions. More diversified woody plants species, and afforested areas should be advocated in a low UI region, while in a heavy UI region, the conservation of large trees should be implemented. Our results highlight that the implementation of urban forest management should vary according to different urbanization regions to maximize ecological services.

     

Does a More Diversified Revenue Structure Lead to Greater Financial Capacity and Less Vulnerability in Nonprofit Organizations? A Bibliometric and Meta-Analysis

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article explores how and to what extent revenue diversification and concentration strategies affect financial...     

北京企业空间嵌入天津与河北的探讨

笔者从经济学视角探究省际中心城市经济职能向临近省份嵌入,提出了嵌入势差和嵌入性优势,探讨了双方收益分割。笔者把嵌入过程分为嵌入性优势形成阶段、嵌入阶段、脱嵌阶段和再嵌入阶段四个阶段,通过阶段的划分揭示了发达省份与邻近落后省份之间的一种经济联系。以北京企业嵌入天津和河北为例进行了较为深入的探讨,认为天津与北京的关系处于嵌入过程中的第四个阶段,河北与北京的关系处于嵌入过程的第二个阶段。     

Testing the Only-Child Advantage in Cognitive Development in the Context of China’s One-Child Policy

Population Research and Policy Review - Using data from a recent national survey of approximately 20,000 Chinese middle school students, we tested the difference in cognitive development between...     

大德本《南海志》残卷跋

本文详考元大德本《南海志》成书及其成为残存五卷本的传世经过,并概述此书保存宋元时期广州地区大量史料,参考价值大     

通感表象与意象析论——以儿童艺术通感现象为例

艺术表象是艺术感知和传达中的基本信息元素,它包括记忆表象和想象表象等多种形式,艺术表象在通感发生过程中的转移形式被称为通感表象.它的基本运动形式是,当感官接受外界信息时引起了记忆表象,潜在地发生了想象表象及其转移和联接,在通感过程中表现为通感表象在通感意象作用下的联通和挪移.儿童艺术活动中的表象的生成与转移、抽象过程与成人相比更加清晰,表述更为简洁直白.儿童画是物理表象和情绪表象的混合形式,因而也是记忆表象与想象表象的混合形式,儿童由"表象储存"形式逐渐发展到"表象改编"形式而向"意象"掘进,最后出现"审美意象"而导致通感的产生.