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Microbial production of chemical building blocks from lignin

Plastics, derived from fossil fuels, have raised considerable environmental concerns. This has prompted the search for sustainable and safer plastic precursors alternatives. One alternative explored in the present study is vanillin, a phenolic compound derived from lignin, an abundant and renewable natural polymer. Vanillin and its derivatives have shown promise as eco-friendly substitutes for con

Regenerating Land, Regenerating Self: Towards a Care-full Regeneration Cycle of Inner-Outer Transformation

The world needs rapid transformation if we are to shift towards more just and regenerative socio-ecological futures. In merging scholarly fields of transformation studies, regeneration and ethics of care this thesis explores the connection between inner-outer regeneration through the in-depth study of a transformative caring process. With a focus on lived experience and affects, this study conduct

Deciphering the normal-like molecular subtype of breast cancer

The normal-like molecular subtype of breast cancer has not been well characterized and is currently not included in the clinically approved PAM50 molecular subtype classification. Tumors classified as normallike display high expression of basal epithelial genes and low expression of luminal epithelial genes, but also high expression of genes expressed by non-epithelial cell types including adipocy

Risky Business: Quantitative Risk Assessments as Enabling Devices in Cybersecurity

Quantitative risk assessment (QRA) is a growing practice in the cybersecurity field. This paper examines QRA the use in various industries and the problems with its use. The focus of the qualitative research is to understand why cybersecurity organizations might want to use QRA even if it produces untrue and potentially problematic results. It draws from other bodies of work that view QRA as a

Corporate populism: How corporations construct and represent ‘the people’ in political contestations

Business implications of the recent surge in populism in societal and academic discourse have been relatively neglected. This is surprising, considering that corporations provide financial support (e.g., donations and political action committees), intellectual resources (e.g., think tanks and public relations firms) and informational channels (e.g., social media platforms) that populist parties an

Datastructuring—Organizing and curating digital traces into action

Digital transformations and processes of “datafication” fundamentally reshape how information is produced, circulated and given meaning. In this article, we provide a concept of “datastructuring” which seeks to capture this reshaping as both a product of and productive of social activity. To do this we focus on (1) how new forms of social action map onto and are enabled by technological changes re

Breaking barriers : a statistical and machine learning-based hybrid system for predicting dementia

Introduction: Dementia is a condition (a collection of related signs and symptoms) that causes a continuing deterioration in cognitive function, and millions of people are impacted by dementia every year as the world population continues to rise. Conventional approaches for determining dementia rely primarily on clinical examinations, analyzing medical records, and administering cognitive and neur

Detection of Pre-and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living

Modifiable factors, such as alcohol or physical exertion, may trigger atrial fibrillation (AF) episodes. Identifying and eliminating these triggers can lead to effective strategies which reduce risk of AF recurrence. This study aims to evaluate pre-and post-trigger AF in long-term photo-plethysmogram (PPG) signals obtained during daily living from patients with paroxysmal AF. Thirty-seven patients

The Corded Ware Complex in Europe in Light of Current Archaeogenetic and Environmental Evidence

Corded Ware is one of the main archaeological phenomena of the third millennium before the common era (BCE), with a wide geographic spread across much of central and northeastern Europe, from Denmark, the Rhineland, and Switzerland in the west to the Baltic and Western Russia in the east, and broadly restricted to the temperate, continental zones north of the Alps, the Carpathians, and the steppe/

Reconfiguration of cognitive control networks during a long-duration flanker task

Continuous task engagement generally leads to vigilance decrement and deteriorates task performance. However, how conflict effect is modulated by vigilance decrement has no consistent evidence, and little is known about the underlying neural mechanisms. Here we adopted an electroencephalogram dataset collected during a prolonged flanker task to examine the interactions between vigilance and congru

Structural basis of Cfr-mediated antimicrobial resistance and mechanisms to evade it

The bacterial ribosome is an essential drug target as many clinically important antibiotics bind and inhibit its functional centers. The catalytic peptidyl transferase center (PTC) is targeted by the broadest array of inhibitors belonging to several chemical classes. One of the most abundant and clinically prevalent resistance mechanisms to PTC-acting drugs in Gram-positive bacteria is C8-methylat

Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)

Background: Surgical sentinel lymph node biopsy (SLNB) is routinely used to reliably stage axillary lymph nodes in early breast cancer (BC). However, SLNB may be associated with postoperative arm morbidities. For most patients with BC undergoing SLNB, the findings are benign, and the procedure is currently questioned. A decision-support tool for the prediction of benign sentinel lymph nodes based

Heat transfer enhancement with additively manufactured rough surfaces: Insights from large-eddy simulations

To study the impact of additively manufactured (AM) roughness on fluid flow and heat transfer, we performed a series of high-fidelity large-eddy simulations on turbulent heat transfer over a three-dimensional AM rough surface with varying bulk Reynolds number and average roughness height values. We considered rough surfaces created using AM techniques at Siemens based on Nickel Alloy IN939 materia

Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes

This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks and is built on, combines and further develops several different modules from previous research. The network takes an RGB image and estimates a wireframe as well as a feature space using an hourglass backbone. From t