RT laboratory setup. by Ahmed M. Ewias (17262848)

Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. by Danish M. Anwer (15383441)

A schematic view of the step-by-step computational approach in the current study. by Hamed Rezaei (11085366)

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

S1 Data - by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Optimized model prediction performance. by Guang Tu (22054865)

Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions. by Jari Turkia (17912475)

Basic characteristics and intraoperative data. by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Rapid Prediction of Chemical Ecotoxicity Through Genetic Algorithm Optimized Neural Network Models by Ping Hou (17213)

“…To reduce the manual tuning effort on optimal network architecture, a genetic algorithm is investigated to automatically search and configure the network architecture. …”

Fig 2 - by Hamed Rezaei (11085366)

Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization by Jungmok Oh (14117464)

“…This paper presents a hybrid framework that combines ML models with a metaheuristic optimization algorithm, to explore improved heterogeneous catalysts for propane dehydrogenation (PDH). …”

Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization by Jungmok Oh (14117464)

“…This paper presents a hybrid framework that combines ML models with a metaheuristic optimization algorithm, to explore improved heterogeneous catalysts for propane dehydrogenation (PDH). …”

An example of a key driver diagram to optimize triage rates was developed during the quality improvement process. by Rebecca Goertzen (22008461)

Von Willebrand parameters over time. by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Standard coagulation parameters. by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Blood loss and transfusion requirements. by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Standard coagulation parameters over time. by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Von Willebrand parameters. by Alexander Eckers (19106390)

“…Patients were randomized into three groups receiving either a 10% HES 130/0.42 solution, a 6% HES 130/0.42 solution or a crystalloid following a goal-directed hemodynamic algorithm. …”

Consort flow diagram. by Alexander Eckers (19106390)

ROTEM. by Alexander Eckers (19106390)