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TELKOMNIKA Telecommunication, Computing, Electronics and Control
A study of redesigning food delivery application in Thailand
User interface (UI) and user experience (UX) design is fundamental to the stickiness of any application. Food delivery is no exception. With the food delivery business sector on the rise during the coronavirus disease 2019 (COVID-19) pandemic, it is…
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG
The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for
structure learning and sampling of Bayesian networks. The package includes tools to
search for a maximum a posteriori (MAP) graph and to sample graphs from the…
structure learning and sampling of Bayesian networks. The package includes tools to
search for a maximum a posteriori (MAP) graph and to sample graphs from the…
lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
associations among a large set of variables. This paper describes an R package called lslx
that implements PL methods for semi-confirmatory structural equation…
PROSIDING INTERNASIONAL KEPERAWATAN Proceedings of the International Conference on Nursing and Health Sciences, Volume 4 No 1
THE EFFECTIVENESS OF MUSIC THERAPY ON REDUCING ANXIETY LEVELS IN MATERNITY MOTHERS AT UPT PUSKESMAS CIOMAS IN 2023
Anemia is one of the indirect causes of death of pregnant women. The prevalence of anemia of pregnant
women in developing countries is between 35-75%. One of the causes of the high prevalence of anemia in
pregnant women is the need for iron and…
women in developing countries is between 35-75%. One of the causes of the high prevalence of anemia in
pregnant women is the need for iron and…
Determinants of interconnected corporate information. Evidence of the connectivity principle in integrated reporting
This paper aims to deepen knowledge of the principle of connectivity between financial and non-financial information defined in the Integrated Reporting (IR) conceptual framework. We have created a multidimensional connectivity index that is used to…
International Emergency Nursing Vol. 67 March 2023
Urgent hospital transfers – The experiences and required skills of paramedics
Introduction: Global changes in the health and social care sector have centralized the treatment of emergency patients, leading to an increase of urgent hospital transfers. The aim of this study is to describe paramedics’ experiences gained while…
Jurnal Ekonomi dan Pembangunan Vol. 30 No. 2 Tahun 2022
THE CONSUMPTION EFFECT OF HOUSEHOLD DEBT: EVIDENCE FROM INDONESIA
This paper empirically examines the relationship between household debt and household consumption growth
in Indonesia using the ARDL model. This paper employs quarterly time series data on Indonesian household
consumption expenditures and household…
in Indonesia using the ARDL model. This paper employs quarterly time series data on Indonesian household
consumption expenditures and household…
The utility of the brain trauma evidence to inform paramedic rapid sequence intubation in out-of-hospital stroke
Background
Rapid sequence intubation (RSI) is used to secure the airway of stroke patients. Randomized controlled trial
evidence exists to support the use of paramedic RSI for traumatic brain injury (TBI), but cannot necessarily be
applied to…
Rapid sequence intubation (RSI) is used to secure the airway of stroke patients. Randomized controlled trial
evidence exists to support the use of paramedic RSI for traumatic brain injury (TBI), but cannot necessarily be
applied to…
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
The stochastic block model is a popular probabilistic model for random graphs. It is
commonly used to cluster network data by aggregating nodes that share similar connectivity patterns into blocks. When fitting a stochastic block model to a…
commonly used to cluster network data by aggregating nodes that share similar connectivity patterns into blocks. When fitting a stochastic block model to a…