First Observation of a Nuclear Recoil Peak at (100eV) with Crab: A Potential New Calibration Standard for Cryogenic Detectors.

Any experiment aiming to measure rare events, like Coherent Elastic neutrino-Nucleus Scattering (CE NS) or hypothetical Dark Matter scattering, via nuclear recoils in cryogenic detectors relies crucially on a precise detector calibration at sub-keV energies. The Crab collaboration developed a new calibration technique based on the capture of thermal neutrons inside the target crystal. Together with the Nucleus experiment, first measurements with a moderated Cf neutron source and a cryogenic detector were taken.

Insights into psychological characteristics of persons (not) agreeing to use an e-coach-application to reduce elevated Internet Use Disorder tendencies.

The present work aims to shed light on the question of whether certain psychological characteristics go along with choosing an e-coach offer to support healthy Internet use when reporting elevated Internet Use Disorder (IUD) tendencies. Data were from a large-scale stepped care approach study to treat persons with varying degrees of IUD tendencies. Recruitment for advertising the download of a smartphone app included social media, videos by influencers, paid ads, TV, radio, newspapers, workshops, and vocational schools.

TOWARDS FAST HARD-CONSTRAINED PARALLEL TRANSMIT DESIGN IN ULTRAHIGH FIELD MRI WITH PHYSICS-DRIVEN NEURAL NETWORKS.

Parallel transmission (pTx) is an important technique for reducing transmit field inhomogeneities at ultrahigh-field (UHF) MRI. pTx typically involves solving an optimization problem for radiofrequency pulse design, with hard constraints on specific-absorption rate (SAR) and/or power, which may be time-consuming. In this work, we propose a novel approach towards incorporating hard constraints to physics-driven neural networks.

Quantum Broadcast Channel Simulation via Multipartite Convex Splitting.

We show that the communication cost of quantum broadcast channel simulation under free entanglement assistance between the sender and the receivers is asymptotically characterized by an efficiently computable single-letter formula in terms of the channel's multipartite mutual information. Our core contribution is a new one-shot achievability result for multipartite quantum state splitting via multipartite convex splitting. As part of this, we face a general instance of the quantum joint typicality problem with arbitrarily overlapping marginals.

Topological Bardeen-Cooper-Schrieffer theory of superconducting quantum rings.

Abstract: Quantum rings have emerged as a playground for quantum mechanics and topological physics, with promising technological applications. Experimentally realizable quantum rings, albeit at the scale of a few nanometers, are 3D nanostructures. Surprisingly, no theories exist for the topology of the Fermi sea of quantum rings, and a microscopic theory of superconductivity in nanorings is also missing.

Global research status and trends of somatic symptom disorder: A bibliometric study.

Background: With the growing scholarly and clinical fascination with somatic symptom disorder (SSD), a bibliometric analysis is lacking.

Aim: To conduct a bibliometric analysis to investigate the current status and frontiers of SSD.

Methods: The documents related to SSD are obtained from the web of science core collection database (WoSCC), and VOSviewer 1.

Examining the prevention approach in National Dementia Plans from European and North American countries.

Objectives: This paper aims to provide a comprehensive review of National Dementia Plans (NDPs) from selected European and North American countries, focusing on the distinct prevention strategies outlined and the approaches employed for reducing dementia risk.

Method: The sample consisted of 16 NDPs from Austria, Canada, Finland, France, Germany, Greece, Ireland, Italy, Liechtenstein, Luxembourg, Malta, the Netherlands, Spain, Switzerland, the UK, and the USA. These NDPs were retrieved from the Alzheimer's Disease International (ADI) database, with regular updates checked on official governmental websites.

Design and Characterization of a Gene-Encoding DNA Nanoparticle in a Cell-Free Transcription-Translation System.

DNA nanotechnology has made initial progress toward developing gene-encoded DNA origami nanoparticles (NPs) that display potential utility for future gene therapy applications. However, due to the challenges involved with gene delivery into cells including transport through the membrane, intracellular targeting, and inherent expression of nucleases along with interference from other active proteins, it can be difficult to more directly study the effect of DNA NP design on subsequent gene expression. In this work, we demonstrate an approach for studying the expression of gene-encoding DNA origami NPs without the use of cells.

A transdisciplinary, comparative analysis reveals key risks from Arctic permafrost thaw.

Permafrost thaw poses diverse risks to Arctic environments and livelihoods. Understanding the effects of permafrost thaw is vital for informed policymaking and adaptation efforts. Here, we present the consolidated findings of a risk analysis spanning four study regions: Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada) and the Bulunskiy District of the Sakha Republic (Russia).

adapted to steppe-desert climate extremes one million years ago.

Questions about when early members of the genus adapted to extreme environments like deserts and rainforests have traditionally focused on . Here, we present multidisciplinary evidence from Engaji Nanyori in Tanzania's Oldupai Gorge, revealing that thrived in hyperarid landscapes one million years ago. Using biogeochemical analyses, precise chronometric dating, palaeoclimate simulations, biome modeling, fire history reconstructions, palaeobotanical studies, faunal assemblages, and archeological evidence, we reconstruct an environment dominated by semidesert shrubland.

Confocal Raman Microscopy with Adaptive Optics.

Confocal Raman microscopy, a highly specific and label-free technique for the microscale study of thick samples, often presents difficulties due to weak Raman signals. Inhomogeneous samples introduce wavefront aberrations that further reduce these signals, requiring even longer acquisition times. In this study, we introduce Adaptive Optics to confocal Raman microscopy for the first time to counteract such aberrations, significantly increasing the Raman signal and image quality.

Short-Wave Infrared Optoelectronics with Colloidal CdHgSe/ZnCdS Core/Shell Nanoplatelets.

Colloidal semiconductor nanocrystals (NCs) are an efficient and cost-effective class of nanomaterials for optoelectronic applications. Advancements in NC-based optoelectronic devices have resulted from progress in synthetic chemistry, adjustable surface properties, and optimized device architectures. Semiconductor nanoplatelets (NPLs) stand out among other NCs due to their precise growth control, yielding uniform thickness with submonolayer roughness.

The novel manualized RELIEVE-group treatment for burdened relatives of cancer patients: a feasibility study.

Introduction: The experience of cancer among relatives is characterized by an increase in anxiety and depression, stress, and a reduction in quality of life. However, there is a paucity of psychosocial support programmes for relatives and a dearth of evidence-based, manualized interventions. Accordingly, the present study aims to assess the acceptability, defined as participant drop-out and satisfaction, and feasibility, in terms of mental health improvement, of a novel manualized psycho-educational group intervention.

Mechanisms of aortic dissection: From pathological changes to experimental and models.

Aortic dissection continues to be responsible for significant morbidity and mortality, although recent advances in medical data assimilation and in experimental and models have improved our understanding of the initiation and progression of the accumulation of blood within the aortic wall. Hence, there remains a pressing necessity for innovative and enhanced models to more accurately characterize the associated pathological changes. Early on, experimental models were employed to uncover mechanisms in aortic dissection, such as hemodynamic changes and alterations in wall microstructure, and to assess the efficacy of medical implants.

Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication.

Reproducible large-area fabrication is one of the remaining challenges for the commercialization of perovskite photovoltaics. Imaging methods augmented with deep learning (DL) enable in-line detection of spatial or temporal inconsistencies and predict the impact of observed changes on device performance. In this work, we showcase three use cases of how DL augments complex experimental data analysis of the large-area perovskite thin film formation, even on moderate-sized datasets.

A non-interventional biomarker study in patients with adenocarcinoma of the lung treated with nintedanib plus docetaxel following progression on chemotherapy and/or immunotherapy: LUME-BioNIS.

Background: Anti-angiogenic agents, such as nintedanib and ramucirumab, when combined with docetaxel, are subsequent treatment options in patients with non-small cell lung cancer (NSCLC) who have failed on first-line chemotherapy or immunochemotherapy. However, to date, there are no validated predictive biomarkers for efficacy of anti-angiogenic therapies in this setting. The aim of this study was to explore whether genetic or genomic markers, alone or combined with clinical covariates, could be used to predict overall survival (OS) in patients with NSCLC who are eligible for treatment with nintedanib plus docetaxel.

Challenges in estimating species' age from phylogenetic trees.

Aim: Species age, the elapsed time since origination, can give insight into how species longevity might influence eco-evolutionary dynamics, which has been hypothesized to influence extinction risk. Traditionally, species' ages have been estimated from fossil records. However, numerous studies have recently used the branch lengths of time-calibrated phylogenies as estimates of the ages of extant species.

Spontaneous echo contrast in the left atrial appendage is linked to a higher risk of thromboembolic events and mortality in patients with atrial fibrillation.

Background: Cardioversion, a rhythm control treatment for atrial fibrillation (AF), requires ruling out cardiac embolic sources, often originating from the left atrial appendage (LAA). Transesophageal echocardiography (TEE) is used for LAA evaluation, but it is invasive and not widely available. This study aimed to identify cardiovascular risk factors linked to LAA abnormalities and predictors of thromboembolic events and all-cause mortality.

Climate signal age effects in tree-ring density data from the Spanish Pyrenees.

Key Message:

Abstract: Tree-rings are the prime archive for high-resolution climate information over the past two millennia. However, the accuracy of annually resolved reconstructions from tree-rings can be constrained by what is known as climate signal age effects (CSAE), encompassing changes in the sensitivity of tree growth to climate over their lifespans. Here, we evaluate CSAE in from an upper tree line site in the Spanish central Pyrenees, Lake Gerber, which became a key location for reconstructing western Mediterranean summer temperatures at annual resolution.

Rethinking love, independence, and speciesism in assistance dog discourse.

This paper challenges the prevailing belief that assistance dogs inherently love their roles, arguing that the notion of "unconditional love" in discourses on assistance dog perpetuates a human-centric perspective and reinforces speciesism. It emphasizes the importance of recognizing the affective experiences of these working animals and of acknowledging the interdependence between people with disabilities and assistance dogs. The paper has four main objectives: (1) critiquing the concept of unconditional love attributed to assistance dogs, (2) recognizing the physical and affective labor of assistance dogs, (3) highlighting the importance of interdependence over independence, and (4) exploring the intersections of ableism and speciesism in the context of assistance dogs.

From MRI to FEM: an automated pipeline for biomechanical simulations of vertebrae and intervertebral discs.

Introduction: Biomechanical simulations can enhance our understanding of spinal disorders. Applied to large cohorts, they can reveal complex mechanisms beyond conventional imaging. Therefore, automating the patient-specific modeling process is essential.

Improving the Clinical Diagnostic Criteria for Genetically Confirmed Adult-Onset Huntington Disease: Considering Nonmotor Presentations.

Background: Huntington disease (HD) is a genetic neurodegenerative disorder. Given the focus on motor manifestations, nonmotor symptoms are frequently underappreciated in clinical evaluations, despite frequently contributing to primary functional impairment.

Recent Findings: A diagnosis of motor-onset as the definition of manifest symptoms misrepresents the complex nature of HD presentation.

Enhancing patient education on the role of tibial osteotomy in the management of knee osteoarthritis using a customized ChatGPT: a readability and quality assessment.

Introduction: Knee osteoarthritis (OA) significantly impacts the quality of life of those afflicted, with many patients eventually requiring surgical intervention. While Total Knee Arthroplasty (TKA) is common, it may not be suitable for younger patients with unicompartmental OA, who might benefit more from High Tibial Osteotomy (HTO). Effective patient education is crucial for informed decision-making, yet most online health information has been found to be too complex for the average patient to understand.