Results 221 to 230 of about 1,218,639 (354)
Chemie Ingenieur Technik, EarlyView.Communication: An approach for a holistic evaluation of distillation processes with mechanical vapor recompression combining an initial energy potential analysis, shortcut methods for the compressor and reboiler design, and the determination of economic and ecological performance parameters is presented.
Katharina Jasch +4 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Identification of firefighting strategies (i.e., which endangered units to suppress or cool first) in chemical and process plants falls under the domain of multi‐objective decision‐making (MODM), where not only the safety and integrity of the affected process plant but also the safety of on‐site and off‐site vulnerable targets matter.
Sina Khakzad, Nima Khakzad
wiley +1 more source
ReSort enhances reference-based cell type deconvolution for spatial transcriptomics through regional information integration. [PDF]
Bioinform AdvWang L +6 more
europepmc +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Report on the 10th Asia-Oceania Mass Spectrometry Conference (AOMSC2025). [PDF]
Mass Spectrom (Tokyo)Ishihama Y.
europepmc +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Risk or reflex? Why T1 colorectal cancer guidelines need a precision overhaul. [PDF]
J Minim Invasive SurgPark EJ.
europepmc +1 more source