Advancing system of systems engineering using intangible value logic measurements from intellectual capital thinking approach.

This study explores the integration of intangible value logic measurements derived from the Intellectual Capital Thinking (IC ) approach to advance System of Systems Engineering (SoSE). Focusing on demand-side electricity management, the research illuminates the challenges and opportunities in capturing intangible value creation within engineering systems. By delving into human behaviour-driven demand intricacies and recognising intangible resources among stakeholders, the study unveils the potential for innovation in demand management strategies.

Seroprevalence of swine hepatitis E virus and the farmers' potential risk of infection in the Province of Bali, Indonesia.

Background And Aims: Hepatitis E virus (HEV) infection formerly and predominantly occurred in rural areas. However, it has recently been spread to urban and peri-urban areas. This study aimed to estimate the seroprevalence of HEV in pigs collected from urban and rural areas in Bali.

Customer's response to dynamic pricing in utility energy Tariff quality and reliability with the time of use: An Empirical case study of household electricity customers in Indonesia.

Time of Use (ToU) is one of the types of dynamic pricing strategies at which a pricing scheme employs a variable rate rather than a fixed one causing electricity tariffs over a particular consumption period to rise once in high consumer demand at peak times and to fall once the demand is low at off-peak times. Owing to the important factor of perceiving customers' response to the successful implementation of the ToU tariff scheme, this study examines the household electricity customers' response in Indonesia - especially residents of Java Island and Bali Island - to future implementation of this dynamic pricing strategy in utility energy tariff quality and reliability. Data on the behavior of the PLN customers need to be thoroughly gathered and then analyzed quantitatively for well-informed decisions on a set of variable rates based on peak/off-peak times of the day and the season to establish in a board of directors' room.

An introduction to representation learning for single-cell data analysis.

Single-cell-resolved systems biology methods, including omics- and imaging-based measurement modalities, generate a wealth of high-dimensional data characterizing the heterogeneity of cell populations. Representation learning methods are routinely used to analyze these complex, high-dimensional data by projecting them into lower-dimensional embeddings. This facilitates the interpretation and interrogation of the structures, dynamics, and regulation of cell heterogeneity.

Prevalence of depression and its related factors among older adults in Indonesian nursing homes.

Background: Depression is one of the most severe mental disorders experienced by older adults worldwide. The prevalence of depression among older adults in nursing homes is three-time higher than in the community. Therefore, knowing the incident rates of depression and its related factors would help provide appropriate intervention and prevention programs in the future.