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Creative Machines, Orphan Inventions: AI and the concept of inventor at the EPO

In 2018, an AI system named by its creator DABUS (Device for the Autonomous Bootstrapping of Unified Sentience) was credited by its creator to have independently invented a neural flame and a fractal container. According to its creator, DABUS is a ‘sentient artificial general intelligence can replicate all aspects of human cognition, including perception, creativity, consciousness, and sentience’

The Case for Clinical Hypnosis: Theory and Research-Based Do’s and Don’ts for Clinical Practice

We describe key aspects of hypnosis that distinguish it from other psychotherapeuticapproaches, argue that hypnosis occupies a unique niche among clinical interventions, andclaim that a substantial body of evidence supports its use across a gamut of psychologicalconditions. Hypnotic techniques are ideally suited to present useful suggestions that canalter subjective, behavioral, and physiological

Flight-induced compass representation in the monarch butterfly heading network

For navigation, animals use a robust internal compass. Compass navigation is crucial for long-distance migrating animals like monarch butterflies, which use the sun to navigate over 4,000 km to their overwintering sites every fall. Sun-compass neurons of the central complex have only been recorded in immobile butterflies, and experimental evidence for encoding the animal's heading in these neurons

Concurrent stem- and lineage-affiliated chromatin programs precede hematopoietic lineage restriction

The emerging notion of hematopoietic stem and progenitor cells (HSPCs) as a low-primed cloud without sharply demarcated gene expression programs raises the question on how cellular-fate options emerge and at which stem-like stage lineage priming is initiated. Here, we investigate single-cell chromatin accessibility of Lineage-, cKit+, and Sca1+ (LSK) HSPCs spanning the early differentiation landsc

A review of geometric dimensioning and tolerancing (GD&T) of additive manufacturing and powder bed fusion lattices

To increase industrial adoption, part qualifcation and certifcation of the additive manufacturing (AM) process are crucial through geometric benchmarking as well as optimising the properties and process parameters. However, an extensive researchgap remains concerning the geometric dimensioning and tolerancing (GD&T) of AM parts. This paper presents a review on the state-of-art GD&T benchma

Smoking and Risk of Prostate Cancer and Prostate Cancer Death : A Pooled Study

BACKGROUND: Prospective and detailed investigations of smoking and prostate cancer (PCa) risk and death are lacking.OBJECTIVE: To investigate prediagnosis smoking habit (status, intensity, duration, and cessation) as a risk factor, on its own and combined with body mass index (BMI), for PCa incidence and death.DESIGN, SETTING, AND PARTICIPANTS: We included 351448 men with smoking information from

Interpretation of the X-Ray Emission Spectra of Liquid Water through Temperature and Isotope Dependence

The interpretation of x-ray emission spectroscopy (XES) spectra in terms of their sensitivity to the hydrogen bonding and the consequent microheterogeneity in liquid water has been debated over a decade. To shed a light on this problem, we report the theoretical reproduction of the debated 1b_{1} peaks observed in the XES spectra of liquid water using semiclassical Kramers-Heisenberg formula. The

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Review of:Annette K. Nielsen i samarbejde med Leonora Christina Skov: Med på en lytter. En rejse i lytningens univers. 270 sider. 299,99 kr. Gads Forlag.

Immediate increase in perceived energy after exercise during the course of chemotherapy treatment for breast cancer

PURPOSE: Exercise during chemotherapy has beneficial long-term effects on women with breast cancer, but short-term beneficial changes have been less investigated. Though short-term changes may be important as a encouraging factor, this study aimed to investigate immediate changes in self-reported energy, stress, nausea and pain following a single exercise session during chemotherapy.METHODS: Forty

Extraction of the specific shear viscosity of quark-gluon plasma from two-particle transverse momentum correlations

The specific shear viscosity, η/s, of the quark-gluon plasma formed in ultrarelativistic heavy-ion collisions at RHIC and LHC is estimated based on the progressive longitudinal broadening of transverse momentum two-particle correlators, G2, reported as a function of collision centrality by the STAR and ALICE experiments. Estimates are computed as a function of collision centrality using the Gavin

Mat vid diabetes. : En systematisk översikt med utvärdering av effekter samt hälsoekonomiska och etiska aspekter.

SlutsatserTyp 1- och typ 2-diabetes Det finns ett samband mellan att äta medelhavskost och lägre risk att dö i förtid oavsett orsak (måttlig tillförlitlighet). Det finns ett samband mellan att äta en större andel2 fibrer eller baljväxter och lägre risk att dö i förtid oavsett orsak (måttlig tillförlitlighet). Det kan även finnas ett samband mellan att äta en större andel nötter och lägre risk att

A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level

Groundwater is a crucial source of water supply in drought conditions, and an auxiliary water source in wet seasons. Due to its increasing importance in view of climate change, predicting groundwater level (GWL) needs to be improved to enhance management. We used adaptive neuro-fuzzy inference systems (ANFIS) to predict the GWL of the Urmia aquifer in northwestern Iran under various input scenario

The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)

Newly diagnosed breast cancer (BC) patients with clinical T1–T2 N0 disease undergo sentinel-lymph-node (SLN) biopsy, although most of them have a benign SLN. The pilot noninvasive lymph node staging (NILS) artificial neural network (ANN) model to predict nodal status was published in 2019, showing the potential to identify patients with a low risk of SLN metastasis. The aim of this study is to ass