Spectral 3D Computer Vision -- A Review

Spectral 3D computer vision examines both the geometric and spectral properties of objects. It provides a deeper understanding of an object's physical properties by providing information from narrow bands in various regions of the electromagnetic spectrum. Mapping the spectral information onto the 3D model reveals changes in the spectra-structure space or enhances 3D representations with properties such as reflectance, chromatic aberration, and varying defocus blur. This emerging paradigm advances traditional computer vision and opens new avenues of research in 3D structure, depth estimation, motion analysis, and more. It has found applications in areas such as smart agriculture, environment monitoring, building inspection, geological exploration, and digital cultural heritage records. This survey offers a comprehensive overview of spectral 3D computer vision, including a unified taxonomy of methods, key application areas, and future challenges and prospects

Confirming the multidimensionality of psychologically controlling parenting among Chinese-American mothers: Love withdrawal, guilt induction, and shaming

© The Author(s) 2014. Despite the theoretical conceptualization of parental psychological control as a multidimensional construct, the majority of previous studies have examined psychological control as a unidimensional scale. Moreover, the conceptualization of shaming and its associations with love withdrawal and guilt induction are unclear. The current study aimed to fill these gaps by evaluating the latent factor structure underlying 18 items from Olsen et al. (2002) that were conceptually relevant to love withdrawal, guilt induction, and shaming practices in a sample of 169 mothers of Chinese-American preschoolers. A multidimensional three-factor model and bi-factor model were specified based on our formulated operational definitions for the three dimensions of psychological control. Both models were found to be superior to the unidimensional model. In addition, results from the bi-factor model and an additional second-order factor model indicated that psychological control is essentially empirically isomorphic with guilt induction. Although love withdrawal and shaming factors were also fairly strong indicators of psychological control, each exhibited important additional unique variability and mutual distinctiveness. Implications for the conceptualization of love withdrawal, guilt induction, and shaming as well as directions for future studies are discussed

ANKRD26 and Its Interacting Partners TRIO, GPS2, HMMR and DIPA Regulate Adipogenesis in 3T3-L1 Cells

Partial inactivation of the Ankyrin repeat domain 26 (Ankrd26) gene causes obesity and diabetes in mice and increases spontaneous and induced adipogenesis in mouse embryonic fibroblasts. However, it is not yet known how the Ankrd26 protein carries out its biological functions. We identified by yeast two-hybrid and immunoprecipitation assays the triple functional domain protein (TRIO), the G protein pathway suppressor 2 (GPS2), the delta-interacting protein A (DIPA) and the hyaluronan-mediated motility receptor (HMMR) as ANKRD26 interacting partners. Adipogenesis of 3T3-L1 cells was increased by selective down-regulation of Ankrd26, Trio, Gps2, Hmmr and Dipa. Furthermore, GPS2 and DIPA, which are normally located in the nucleus, were translocated to the cytoplasm, when the C-terminus of ANKRD26 was introduced into these cells. These findings provide biochemical evidence that ANKRD26, TRIO, GPS2 and HMMR are novel and important regulators of adipogenisis and identify new targets for the modulation of adipogenesis

Asset Privatization Trust Information System (APT-IS)

Asset Privatization Trust is a government agency tasked with disposing various government assets by selling them to the private sector. The proponents of the study diagnosed several problems in their existing system like difficulty in handling requests and late and inaccurate reports. After studying the various processes as well as the information received and generated by the departments of APT, the proponents conceptualized the idea of an information system that would streamline the necessary procedures in their existing system. The proposed system is called the Asset Privatization Trust Information System (APT-IS). The APT-IS is an automated information system designed to run in a network environment. It is mainly composed of three subsystems: Accounting Information System, Asset Monitoring and Disposition System, and System Maintenance. The Accounting Information System handles the basic accounting processes for the operations of the company. The Asset Monitoring and Disposition System keeps track of the status of assets transferred to APT as they go through the different processes like appraising, advertising, bidding, and selling. The System Maintenance handles the system security. The APT-IS solves the existing system\u27s problems by reducing the need for manpower, supplying more accurate data, minimizing the tedious manual work, generating reports more quickly, giving a faster response to user inquiry, and providing increased data security

Longitudinal effects of maternal love withdrawal and guilt induction on Chinese American preschoolers’ bullying aggressive behavior

Copyright © 2019 Cambridge University Press. Bullying has been understudied among preschool children, especially those from Chinese American families. Previous research has also neglected the dimensional effects of psychological control on child bullying development. This study examined two psychological control dimensions, love withdrawal and guilt induction, and their effects on children\u27s bullying aggressive behavior using a longitudinal design. Participants were first-generation Chinese American mothers (N = 133; mean age [Mage] = 37.82) and their preschool children (Mage = 4.48). Chinese immigrant mothers reported their psychologically controlling parenting and teachers rated children\u27s bullying aggressive behaviors in the school setting. Confirmatory factor analyses were conducted to establish the psychometric properties and cross-wave measurement equivalence of the study constructs. Cross-lagged structural equation modeling analysis indicated that maternal love withdrawal prospectively predicted more bullying aggressive behavior, whereas guilt induction predicted less bullying aggressive behavior in children 6 months later. These results held after controlling for the initial level of children\u27s problem behaviors and demographic variables (child age, gender, and maternal education). For child effects, child bullying aggressive behavior predicted more maternal guilt induction over time but not love withdrawal. Our findings highlight the importance of construct specificity and cultural context in understanding associations between parenting and child development