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Nanolithographic Fabrication Technologies for Network-Based Biocomputation Devices

Network-based biocomputation (NBC) relies on accurate guiding of biological agents through nanofabricated channels produced by lithographic patterning techniques. Here, we report on the large-scale, wafer-level fabrication of optimized microfluidic channel networks (NBC networks) using electron-beam lithography as the central method. To confirm the functionality of these NBC networks, we solve an

Mo3Ni2N Nanoparticle Generation by Spark Discharge

Spark ablation is an advantageous method for the generation of metallic nanoparticles with defined particle sizes and compositions. The reaction of the metal particles with the carrier gas during the synthesis and, therefore, the incorporation of those light elements into structural voids or even compound formation was confirmed for hydrides and oxides but has only been suspected to occur for nitr

Associations of age, BMI, and renal function to cortisol after dexamethasone suppression in patients with adrenal incidentalomas

Introduction: The specificity of cortisol after 1 mg dexamethasone (cortisolDST) ≥50 nmol/L as a criterion for mild autonomous cortisol secretion (MACS) is approximately 85% in patients with adrenal incidentalomas (AI). The aim was to study the associations of cortisolDST to age, BMI, and renal function. Methods: We studied 1,129 patients with AI examined from 2005 to 2015 at Skåne University Hosp

Three new species of Valeriana (Valerianoideae, Caprifoliaceae) from southern Ecuador

Three new species of Valeriana from southern Ecuador are described and illustrated. Valeriana plateadensis is found near the highest peak of Cerro Plateado in Cordillera del Cóndor at 2900 m a.s.l. and is recognized by the shrubby habit and sessile, densely imbricate, spatulate leaves and 3-lobed corollas. V. yacuriensis is found near Lagunas Negras de Jimbura in the Parque Nacional Yacurí at 3500

Extending Microservice Model Validity using Universal Differential Equations

When creating models of a system, there is always a tradeoff between the ease of modelling a part and the increased value it brings to the model. Learning a model using machine learning instead, we are able to capture all kinds of things we don't necessarily understand, but can need large amounts of data to learn even the things we find simple. Using universal differential equations we can combine

N-BAR and F-BAR proteins - Endophilin-A3 and PSTPIP1 - control clathrin-independent endocytosis of L1CAM

Recent advances in the field demonstrate the high diversity and complexity of endocytic pathways. In the current study, we focus on the endocytosis of L1CAM. This glycoprotein plays a major role in the development of the nervous system, and is involved in cancer development and is associated with metastases and poor prognosis. Two L1CAM isoforms are subject to endocytosis: isoform 1, described as

Völsungasagan

Efterord till Katarina Harrison Lindberghs omtolkning av Völsungasagan.

An evidence-based approach to forensic life-threat assessments using spleen injuries as an example

INTRODUCTION: During the judicial process of addressing violent crime, a forensic practitioner may need to assess whether an inflicted injury should be considered life-threatening. This could be important for the classification of the crime. To some extent, these assessments are arbitrary since the natural course of an injury might not be completely known. To guide the assessment, a quantitative a

Framing Positive Obligations under the European Convention on Human Rights Law: Mediating between the Abstract and the Concrete

This article examines positive obligations under the European Convention on Human Rights from the perspective of the level of concreteness chosen for their framing. This level is essential for understanding whether and how the analytical distinction between the existence of an obligation and the breach of this obligation can be applied. The level of concreteness is an important conceptual framewor