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Chapter and Conference Paper
MRI-Based Surgical Planning for Lumbar Spinal Stenosis
The most common reason for spinal surgery in elderly patients is lumbar spinal stenosis (LSS). For LSS, treatment decisions based on clinical and radiological information as well as personal experience of the ...
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Chapter and Conference Paper
Model Selection for Gaussian Process Regression
Gaussian processes are powerful tools since they can model non-linear dependencies between inputs, while remaining analytically tractable. A Gaussian process is characterized by a mean function and a covarianc...
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Article
Open AccessLignocellulose-derived thin stillage composition and efficient biological treatment with a high-rate hybrid anaerobic bioreactor system
This study aims to chemically characterize thin stillage derived from lignocellulosic biomass distillation residues in terms of organic strength, nutrient, and mineral content. The feasibility of performing an...
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Article
Open AccessClinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
Information about the size of a tumor and its temporal evolution is needed for diagnosis as well as treatment of brain tumor patients. The aim of the study was to investigate the potential of a fully-automatic...
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Chapter and Conference Paper
Digital Innovation and the Becoming of an Organizational Identity
Today, companies often face rapid and substantial change of their business environment. To stay competitive, firms are forced to engage in continuous innovation of their products and services. Moreover, the di...
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Article
Open AccessEnvironment Has Little Effect on Biomass Biochemical Composition of Miscanthus × giganteus Across Soil Types, Nitrogen Fertilization, and Times of Harvest
Efficient conversion of lignocellulosic feedstocks to ethanol will benefit from a consistent composition of supplied biomass. While composition or quality for a given feedstock is known to vary, the influence ...
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Article
Open AccessFully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
Reproducible definition and quantification of imaging biomarkers is essential. We evaluated a fully automatic MR-based segmentation method by comparing it to manually defined sub-volumes by experienced radiolo...
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Article
Open AccessDoes size matter? Separations on guard columns for fast sample analysis applied to bioenergy research
Increasing sample throughput is needed when large numbers of samples have to be processed. In chromatography, one strategy is to reduce column length for decreased analysis time. Therefore, the feasibility of ...
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Article
Open AccessFungi isolated from Miscanthus and sugarcane: biomass conversion, fungal enzymes, and hydrolysis of plant cell wall polymers
Biofuel use is one of many means of addressing global change caused by anthropogenic release of fossil fuel carbon dioxide into Earth’s atmosphere. To make a meaningful reduction in fossil fuel use, bioethanol...
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Article
Rapid Small-Scale Determination of Extractives in Biomass
The results of a small-scale method for the extraction of a range of feedstock samples, comprising herbaceous, hard, and soft wood, were compared to the conventional method using accelerated solvent extraction...
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Chapter and Conference Paper
The Effects of Awareness Programs on Information Security in Banks: The Roles of Protection Motivation and Monitoring
Our aim is to understand how information security awareness (ISA) programs affect the intention of employees for compliant information security behavior. We draw on Protection Motivation Theory (PMT) to uncove...
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Article
Open AccessReliability of a 3 T MRI protocol for objective grading of supraspinatus tendonosis and partial thickness tears
Partial thickness supraspinatus tears and tendonosis can be managed either nonoperatively or by various arthroscopic techniques. New biologic treatment approaches are currently being investigated. MRI is commo...
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Article
Open AccessAnalytical method for the determination of organic acids in dilute acid pretreated biomass hydrolysate by liquid chromatography-time-of-flight mass spectrometry
For the development of lignocellulosic biofuels a common strategy to release hemicellulosic sugars and enhance the enzymatic digestibility of cellulose is the heat pretreatment of biomass with dilute acid. Dur...
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Article
Open AccessOvercoming inefficient cellobiose fermentation by cellobiose phosphorylase in the presence of xylose
Cellobiose and xylose co-fermentation holds promise for efficiently producing biofuels from plant biomass. Cellobiose phosphorylase (CBP), an intracellular enzyme generally found in anaerobic bacteria, cleaves...
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Article
Comprehensive Analysis of Monomeric Phenolics in Dilute Acid Plant Hydrolysates
We carried out a comprehensive analysis of the phenolic compounds in hydrolysate produced by dilute acid pretreatment of 20 potential lignocellulosic biofuel feedstocks, including grasses, hardwoods and softwo...
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Article
Open AccessIdentification and characterization of a galacturonic acid transporter from Neurospora crassa and its application for Saccharomyces cerevisiae fermentation processes
Pectin-rich agricultural wastes potentially represent favorable feedstocks for the sustainable production of alternative energy and bio-products. Their efficient utilization requires the conversion of all majo...
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Protocol
Detection of RNA Modifications by HPLC Analysis and Competitive ELISA
Over 100 different RNA modifications exist that are introduced posttranscriptionally by enzymes at specific nucleotide positions. Ribosomal RNA (rRNA) and transfer RNA (tRNA) exhibit the most and diverse modif...
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Chapter
Atlas-Based Segmentation of Tumor-Bearing Brain Images
In diagnostic neuroradiology as well as in radiation oncology and neurosurgery, there is an increasing demand for accurate segmentation of tumor-bearing brain images. Atlas-based segmentation is an appealing a...
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Chapter and Conference Paper
Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies
Consistent longitudinal segmentation of brain tumor images is a critical issue in treatment monitoring and in clinical trials. Fully automatic segmentation methods are a good candidate for reliably detecting c...
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Chapter and Conference Paper
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation
In contrast to preoperative brain tumor segmentation, the problem of postoperative brain tumor segmentation has been rarely approached so far. We present a fully-automatic segmentation method using multimodal ...
