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Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data

Groundwater (GW) is being uncontrollably exploited in various parts of the world resulting from huge needs for water supply as an outcome of population growth and industrialization. Bearing in mind the importance of GW potential assessment in reaching sustainability, this study seeks to use remote sensing (RS)-derived driving factors as an input of the advanced machine learning algorithms (MLAs),

Tumour suppressor 15-hydroxyprostaglandin dehydrogenase induces differentiation in colon cancer via GLI1 inhibition

Inflammation is an established risk factor for colorectal cancer. We and others have shown that colorectal cancer patients with elevated cysteinyl leukotriene receptor 2 (CysLT2R) and 15-hydroxyprostaglandin dehydrogenase (15-PGDH) levels exhibit good prognoses. However, both CysLT2R and 15-PGDH, which act as tumour suppressors, are often suppressed in colorectal cancer. We previously reported tha

Enantiomeric N-substituted phthalimides with excitatory amino acids protect zebrafish larvae against PTZ-induced seizures

Epilepsy is a chronic neurological disease with high prevalence and adverse impacts on the quality of life of patients and caregivers. Up to one-third of individuals with epilepsy do not respond to current pharmacotherapy, underscoring the importance of identifying new molecules for epilepsy control. Thalidomide, the first synthetized phthalimide, is a neuroactive molecule with anti-seizure drug p

Data-driven software design with Constraint Oriented Multi-variate Bandit Optimization (COMBO)

Software design in e-commerce can be improved with user data through controlled experiments (i.e. A/B tests) to better meet user needs. Machine learning-based algorithmic optimization techniques extends the approach to large number of variables to personalize software to different user needs. So far the optimization techniques has only been applied to optimize software of low complexity, such as c

Physician staffed emergency medical service for children: a retrospective population-based registry cohort study in Odense region, Southern Denmark

Objectives The aim of this study is to determine diagnostic patterns in the prehospital paediatric population, age distribution, the level of monitoring and the treatment initiated in the prehospital paediatric case. Hypothesis was that advanced prehospital interventions are rare in the paediatric patient population. Setting We performed a retrospective population-based registry cohort study of ch

Gender and birth weight as risk factors for anastomotic stricture after esophageal atresia repair : a systematic review and meta-analysis

BACKGROUND: Anastomotic stricture (AS) is the most frequently occurring complication that occurs after esophageal atresia (EA) repair. Nevertheless, the pathogenesis remains primarily unknown and there is inadequate knowledge regarding the risk factors for AS. Therefore, a systematic review of the literature and a meta-analysis was performed to investigate whether gender and birth weight were risk

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Tyendet (tjänstehjon) er en ofte overset gruppe i historieskrivningen. For første gang fortælles deres historie i en samlet oversigt.I 2021 er det 100 år siden, at tyendeloven blev ophævet. Der blev dermed sat punktum for århundreders tilsidesættelse af tjenestefolks rettigheder. F.eks. var det nu slut med den forhadte skudsmålsbog, og det var ikke længere tilladt at slå sine tjenestepiger og -drenge. Denne bog skildrer for første gang tjenestefolkets historie som en samlet fortælling. Den beskæftiger sig med både karle og pige

In search of a political economy of the postgrowth era

Against the backdrop of the ecological and climate emergencies and several other deep crises, advocates of degrowth call for democratic transitions towards societies that can thrive beyond economic growth within ecological boundaries while being socially equitable. In recent years, scholarship has emerged that brings together the emerging degrowth paradigm with insights from political economy. Yet

Single-step partitioning in aqueous two-phase systems

Partitioning in aqueous two-phase system (ATPS) provides a rapid and gentle means of separation of soluble as well as particulate biomaterials, e.g. proteins, nucleic acids, cells, viruses, organelles, and membranes. Partitioning between the two phases is a complex phenomenon, guided mainly by the interaction of the partitioned substance and the phase components, e.g., through hydrogen bonds, van

Integration of extraction with affinity precipitation

Conventional aqueous two-phase extraction by spontaneous partitioning has often problems with low specificity. The introduction of an affinity ligand into one of the phases has been attempted to enhance the specificity of protein partitioning (1-7; Chapters 29-31). However, this procedure still has some limitations in the effective removal of impurities as well as recovery and reuse of the ligand.

Structure and high photocatalytic activity of (N, Ta)-doped TiO2 nanoparticles

A hydrothermal method was used to prepare three nano-crystalline samples of TiO2 (S1), N-doped TiO2 (S2), and (N, Ta)-codoped TiO2 (S3) with average crystallite sizes (D) of 13-25 nm. X-ray diffraction studies confirmed a single phase of the samples with a tetragonal/anatase structure. A slight increase in the lattice parameters was observed when N and/or Ta dopants were doped into the TiO2 host l

Energy dispersive-EXAFS of Pd nucleation at a liquid/liquid interface

Energy dispersive extended X-ray absorption fine structure (EDE) has been applied to Pd nanoparticle nucleation at a liquid/liquid interface under control over the interfacial potential and thereby the driving force for nucleation. Preliminary analysis focusing on Pd K edge-step height determination shows that under supersaturated conditions the concentration of Pd near the interface fluctuate ove