In this short article we comment upon the recent by Perry et al (2022) "Attending to History" in Major System Change Healthcare England: Specialist Cancer Surgery Service Reconfiguration. We welcome engagement with power, history and heuristics al. paper. Our discusses importance of researcher positionality research, alongside managerial power centrality politics remaking health care services. ...

solving a large sparse set of linear equations is of the problems widely seen in every numerical investigation in the entire range of engineering disciplines. employing a finite element approach in solving partial derivative equations, the resulting stiffness matrices would contain many zero-valued elements. moreover, storing all these sparse matrices in a computer memory would slower the compu...

Net canopy interception (Inet) during rainfall in an old-growth Douglas-fir–western hemlock ecosystem was 22.8 and 25.0% of the gross rainfall (PG) for 1999 and 2000, respectively. The average direct throughfall proportion (p) and canopy storage capacity (S) derived from high-temporal resolution throughfall measurements were 0.36 and 3.3 mm, respectively. Derived values of S were very sensitive...

Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as face recognition applications, different images may be classified into the same class, and hen...

AbstractThe research was conducted to analyze the Collaborative Governance Pentahelix in Environmental Impact Analysis (EIA) process Cirebon Regency. The qualitative method is used this with a case study approach environmental impact analysis for Development of Footwear Industry Daily Use and Sports Shoes by PT. Long Rich Indonesia, located Determination informants using purposive sampling wher...

Despite recent advances in face recognition systems, they suffer from serious problems because of the extensive types of changes in human face (changes like light, glasses, head tilt, different emotional modes). Each one of these factors can significantly reduce the face recognition accuracy. Several methods have been proposed by researchers to overcome these problems. Nonetheless, in recent ye...