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Niels Henrik David Bohr was born in Copenhagen on October 7, 1885, as the son of Christian Bohr, Professor of Physiology at Copenhagen University, and his wife Ellen, née Adler. Niels, together with his younger brother Harald (the future Professor in Mathematics), grew up in an atmosphere most favourable to the development of his genius – his father was an eminent physiologist and was largely responsible for awakening his interest in physics while still at school, his mother came from a family distinguished in the field of education.

After matriculation at the Gammelholm Grammar School in 1903, he entered Copenhagen University where he came under the guidance of Professor C. Christiansen, a profoundly original and highly endowed physicist, and took his Master’s degree in Physics in 1909 and his Doctor’s degree in 1911.

While still a student, the announcement by the Academy of Sciences in Copenhagen of a prize to be awarded for the solution of a certain scientific problem, caused him to take up an experimental and theoretical investigation of the surface tension by means of oscillating fluid jets. This work, which he carried out in his father’s laboratory and for which he received the prize offered (a gold medal), was published in the Transactions of the Royal Society, 1908.

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The results from the study show that it is possible to use MindGlide to accurately identify and measure important brain tissues and lesions even with limited MRI data and single types of scans that aren’t usually used for this purpose—such as T2-weighted MRI without FLAIR (a type of scan that highlights fluids in the body but still contains bright signals, making it harder to see plaques). “Our results demonstrate that clinically meaningful tissue segmentation and lesion quantification are achievable even with limited MRI data and single contrasts not typically used for these tasks (e.g., T2-weighted MRI without FLAIR),” they stated. “Importantly, our findings generalized across datasets and MRI contrasts. Our training used only FLAIR and T1 images, yet the model successfully processed new contrasts (like PD and T2) from different scanners and periods encountered during external validation.”

As well as performing better at detecting changes in the brain’s outer layer, MindGlide also performed well in deeper brain areas. The findings were valid and reliable both at one point in time and over longer periods (i.e., at annual scans attended by patients). Additionally, MindGlide was able to corroborate previous high-quality research regarding which treatments were most effective. “In clinical trials, MindGlide detected treatment effects on T2-lesion accrual and cortical and deep grey matter volume loss. In routine-care data, T2-lesion volume increased with moderate-efficacy treatment but remained stable with high-efficacy treatment,” the investigators wrote in summary.

The researchers now hope that MindGlide can be used to evaluate MS treatments in real-world settings, overcoming previous limitations of relying solely on high-quality clinical trial data, which often did not capture the full diversity of people with MS.

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A team of scientists has succeeded in creating a copper-free superconducting material operating at record temperatures. This breakthrough could transform our approach to electronic and energy technologies.

Researchers at the National University of Singapore synthesized a copper-free superconducting oxide that operates at around 40 K (−233°C) under ambient pressure. This nickel-based material opens new perspectives for understanding high-temperature superconductivity. The results were published in Nature, marking a key milestone since the discovery of copper oxides in 1987.

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Abstract

As the number of reverse shoulder arthroplasty (RSA) procedures increases, so does the incidence of revision surgery. Baseplate-related complications account for the highest proportion of these revisions, and it has been reported that improving baseplate fixation reduces the likelihood of failure. The present study aims to evaluate the initial stability of the baseplate to the glenoid after RSA. A finite element analysis (FEA) was performed using LS-DYNA models of the scapula and the SMR shoulder system, with a load of 30 N applied in both abduction and flexion, using the baseplate implantation surface as the reference. Micromotion was defined as the difference in displacement between the baseplate and the scapular fossa. The results demonstrated that micromotion between the glenoid and the baseplate diminished with increasing elevation in both abduction and flexion. It is hypothesised that in the SMR shoulder system, the screws are pressed into the glenoid during abduction, thereby contributing to enhanced initial stability.

RSA, rTSA, Baseplate, Finite Element Methods, Micromotion.

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Perhaps the most profound insight to emerge from this uncanny mirror is that understanding itself may be less mysterious and more mechanical than we have traditionally believed. The capabilities we associate with mind — pattern recognition, contextual awareness, reasoning, metacognition — appear increasingly replicable through purely algorithmic means. This suggests that consciousness, rather than being a prerequisite for understanding, may be a distinct phenomenon that typically accompanies understanding in biological systems but is not necessary for it.

At the same time, the possibility of quantum effects in neural processing reminds us that the mechanistic view of mind may be incomplete. If quantum retrocausality plays a role in consciousness, then our subjective experience may be neither a simple product of neural processing nor an epiphenomenal observer, but an integral part of a temporally complex causal system that escapes simple deterministic description.

What emerges from this consideration is not a definitive conclusion about the nature of mind but a productive uncertainty — an invitation to reconsider our assumptions about what constitutes understanding, agency, and selfhood. AI systems function as conceptual tools that allow us to explore these questions in new ways, challenging us to develop more sophisticated frameworks for understanding both artificial and human cognition.

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The return of the Dire wolves?

Colossal Biosciences’ project to revive the once-extinct dire wolf could also prevent existing but endangered animals from slipping into extinction themselves.

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