The social worker-client relationship is described as essential to work but a broad and multi-layered concept. Today, the strengthened challenged by digitalisation. aim of this configurative literature review understand how research on from 2015 2020 describes analyses digitalisation’s significance for relationship. Three themes depict benefits disadvantages digitalisation, digitalisation gener...

background :work ability assessment and its affecting factors are important in the field of occupational health. one of the factors affecting work ability is sleep disorder, which is very common among workers. therefore, the present study aimed to assess work ability and its relationship with sleep disorder in workers of a manufacturing plant.   methods : this cross- sectional study was conduct...

Many biological experiments investigate the relationship between gene expression patterns and phenotypes. Machine learning algorithms provide a tool for gaining insight into this relationship. This lecture introduces machine learning, the diversity of machine learning algorithms available, and methods for assessing and interpreting the result of machine learning algorithms in light of our funda...

Matrix-parametrized models (MPMs) are widely used in machine learning (ML) applications. In large-scale ML problems, the parameter matrix of a MPM can grow at an unexpected rate, resulting in high communication and parameter synchronization costs. To address this issue, we offer two contributions: first, we develop a computation model for a large family of MPMs, which share the following proper...

Wide spread monitoring cameras on construction sites provide large amount of information for construction management. The emerging of computer vision and machine learning technologies enables automated recognition of construction activities from videos. As the executors of construction, the activities of construction workers have strong impact on productivity and progress. Compared to machine w...

Emerging workloads, such as graph processing and machine learning are approximate because of the scale of data involved and the stochastic nature of the underlying algorithms. These algorithms are often distributed over multiple machines using bulk-synchronous processing (BSP) or other synchronous processing paradigms such as map-reduce. However, data parallel processing primitives such as repe...

Crowdsourcing has been recognized as a possible technique to complement costly user studies, usability studies, relevance judgment for information retrieval studies, and training set build-up for automatic document classification. However, the quality of crowdworkers varies by diverse factors and we often cannot tell whether their answers are right or wrong immediately due to the lack of gold s...

introduction dna damage is among the main consequences of radiation. of many different classes of dna damage, double-strand breaks are the most deleterious. development of a sensitive biodosimetry method, which utilizes a detection material with a similar construction to the body, seems essential for monitoring radiation workers. in this study, histone h2ax protein was examined as a potential  ...

Abstract Panel smooth transition regression (PSTR) is applied to obtain thresholds in certain variables classify the regions into regimes (high or low). Data for of Spain over period 1986–2010 are used. In general, results point a positive (negative) relationship between fiscal (administrative) decentralization and economic growth with low public infrastructure stock per efficient worker high h...