Development of a territory-wide household-based composite index for measuring relative distribution of households by economic status in individual small areas throughout Hong Kong.

Background: Many countries have developed their country/nation-wide multidimensional area-based index on deprivation or socioeconomic status for resource allocation, service planning and research. However, whether each geographical unit proxied by a single index is sufficiently small to contain a relatively homogeneous population remains questionable. Globally, this is the first study that presents the distribution of domestic households by the territory-wide economic status index decile groups within each of the 2,252 small subunit groups (SSUGs) throughout Hong Kong, with a median study population of 1,300 and a median area of 42,400 m.

Gendered Cycles of Sexual Objectification: The Roles of Social Dominance Orientation and Perceived Social Mobility.

Despite the high prevalence of sexual objectification, the understanding of gender differences in its victimization and perpetration remains limited. We bridged victim and perpetrator perspectives, expecting that objectification victimization positively predicts perpetration, and investigated the mediating role of social dominance orientation (SDO), and gender and perceived social mobility as moderators. Participants (valid N = 530) completed measures of sexual objectification victimization, perceived social mobility, SDO, and sexual objectification perpetration.

Control of spatio-temporal patterning via cell growth in a multicellular synthetic gene circuit.

A major goal in synthetic development is to build gene regulatory circuits that control patterning. In natural development, an interplay between mechanical and chemical communication shapes the dynamics of multicellular gene regulatory circuits. For synthetic circuits, how non-genetic properties of the growth environment impact circuit behavior remains poorly explored.

Subjective well-being of children with special educational needs: Longitudinal predictors using machine learning.

Children with special educational needs (SEN) are a diverse group facing numerous challenges related to well-being and mental health. Understanding the predictors of well-being in this population requires the incorporation of diverse factors along with approaches that can uncover complexity in how these factors work together to influence well-being. We longitudinally predicted subjective well-being in a group of children with diverse special educational needs (N = 499; M = 8.