Fuzzy rankings for the severity of events. by Amir Sabripoor (18605543)

The workflow of Algorithm 2 with the example in by Badhan Das (7434362)

Histograms of generation time of first single/double mutant virus in the double mutation model in the context of only free virus transmission (with all strains neutral). by Jesse Kreger (8570958)

Data generation process. by Nicola Dietler (12551766)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”

Table2_Post-marketing safety of immunomodulatory drugs in multiple myeloma: A pharmacovigilance investigation based on the FDA adverse event reporting system.docx by Tingting Jiang (169999)

“…<p>Objective: In recent years, the emergence of immunomodulatory drugs (IMiDs) has significantly improved clinical outcomes in patients with multiple myeloma (MM); however, serious adverse events (AEs) have hindered their safe clinical application. …”

Table4_Post-marketing safety of immunomodulatory drugs in multiple myeloma: A pharmacovigilance investigation based on the FDA adverse event reporting system.docx by Tingting Jiang (169999)

“…<p>Objective: In recent years, the emergence of immunomodulatory drugs (IMiDs) has significantly improved clinical outcomes in patients with multiple myeloma (MM); however, serious adverse events (AEs) have hindered their safe clinical application. …”

Table1_Post-marketing safety of immunomodulatory drugs in multiple myeloma: A pharmacovigilance investigation based on the FDA adverse event reporting system.docx by Tingting Jiang (169999)

“…<p>Objective: In recent years, the emergence of immunomodulatory drugs (IMiDs) has significantly improved clinical outcomes in patients with multiple myeloma (MM); however, serious adverse events (AEs) have hindered their safe clinical application. …”

Table3_Post-marketing safety of immunomodulatory drugs in multiple myeloma: A pharmacovigilance investigation based on the FDA adverse event reporting system.docx by Tingting Jiang (169999)

“…<p>Objective: In recent years, the emergence of immunomodulatory drugs (IMiDs) has significantly improved clinical outcomes in patients with multiple myeloma (MM); however, serious adverse events (AEs) have hindered their safe clinical application. …”

Workflow. by Alexey D. Vyatkin (11949770)

Comparing hybrid simulations with (red) with simulations in which the infected subpopulations are always treated stochastically (blue). by Jesse Kreger (8570958)

Characterising 2-dimensional mixing patterns using Shannon’s entropy. by Magnus J. Haughey (14784591)

Video1_Cable failure tolerant control and planning in a planar reconfigurable cable driven parallel robot.MP4 by Adhiti Raman (15535289)

“…We further introduce a trajectory tracking methodology that enables the automatic task recovery algorithm to consistently return to the point of failure. …”

Hybrid Computational Framework for Fault Detection in Coil Winding Manufacturing Process Using Knowledge Distillation by Izhar Escudero Ornelas (7442897)

“…</p> <p><br></p> <p>A Discrete Event Simulation (DES) model was developed to capture process interdependencies and their influence on the generation of faults in a linear coil winding process. …”

Video_1_ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks.MP4 by Yihan Lin (115246)

“…In this work, we propose a fast and effective algorithm termed Omnidirectional Discrete Gradient (ODG) to convert the popular computer vision dataset ILSVRC2012 into its event-stream (ES) version, generating about 1,300,000 frame-based images into ES-samples in 1,000 categories. …”

Data_Sheet_1_Arm Ergometry to Improve Mobility in Progressive Multiple Sclerosis (AMBOS)—Results of a Pilot Randomized Controlled Trial.PDF by Inga Heinrich (11152041)

“…</p><p>Methods: Patients with progressive MS and EDSS 4–6.5 were randomized using a computer-generated algorithm list to either a waitlist control group (CG) or an intervention group (IG). …”

Table_1_Arm Ergometry to Improve Mobility in Progressive Multiple Sclerosis (AMBOS)—Results of a Pilot Randomized Controlled Trial.docx by Inga Heinrich (11152041)

“…</p><p>Methods: Patients with progressive MS and EDSS 4–6.5 were randomized using a computer-generated algorithm list to either a waitlist control group (CG) or an intervention group (IG). …”

Table_3_Design and experimental validation of OPERA_MET-A panel for deep methylation analysis by next generation sequencing.docx by Federico Pio Fabrizio (11787179)

“…Here, we designed and performed a first step of validation of a novel targeted next generation sequencing (NGS) panel for methylation analysis, which can simultaneously evaluate the methylation levels at CpG sites of multiple cancer-related genes. …”

Table_2_Design and experimental validation of OPERA_MET-A panel for deep methylation analysis by next generation sequencing.docx by Federico Pio Fabrizio (11787179)

“…Here, we designed and performed a first step of validation of a novel targeted next generation sequencing (NGS) panel for methylation analysis, which can simultaneously evaluate the methylation levels at CpG sites of multiple cancer-related genes. …”

Table_1_Design and experimental validation of OPERA_MET-A panel for deep methylation analysis by next generation sequencing.xlsx by Federico Pio Fabrizio (11787179)

“…Here, we designed and performed a first step of validation of a novel targeted next generation sequencing (NGS) panel for methylation analysis, which can simultaneously evaluate the methylation levels at CpG sites of multiple cancer-related genes. …”