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Reference intervals of inhibin B in Chinese children on chemiluminescence analyzer

Utilizing Martian samples for future planetary exploration—Characterizing hazards and resources

One of the most surprising and important findings of the first human landings on the Moon was the discovery of a very fine layer of lunar dust covering the entire surface of Moon along with the negative impacts of this dust on the well-being and operational effectiveness of the astronauts, their equipment, and instrumentation. The United States is now planning for human missions to Mars, a planet where dust can also be expected to be ubiquitous for many or most landing sites. For these missions, the design and operations of key hardware systems must take this dust into account, especially when related to crew health and safety. Improved understanding of Martian dust characteristics can inform its potential to also perform transport of microorganisms, both those inadvertently brought to Mars by the astronauts, or, if Martian microorganisms exist, the potential for their inadvertent return to Earth with the astronauts. Careful planning and design are needed to assure that future missions do not violate the United Nations Outer Space Treaty (1967) signed by all spacefaring nations. In this paper, we review the impact of lunar dust on the Apollo missions and identify several questions about dust in the atmosphere of Mars that may be answered by the curated samples that would be returned by the planned Mars Sample Return (MSR) Campaign. These answers would not only provide an opportunity to better understand the history of Mars but could also reduce uncertainty in charting the future of humanity’s exploration of the planet.

Intervalence plasmons in boron-doped diamond

Examining Gravettian and Magdalenian mobility and technological organization with IR spectroscopy

Abstract Archaeologists can use the provenance of lithic raw materials to examine the movements, territories, and settlement dynamics of hunter-gatherers. Several studies have used macroscopic analyses to propose the long-distance transport of raw material during the Gravettian and the Magdalenian of the Swabian Jura in Central Europe. Until now hypotheses about raw material transport in this region were not based on reproducible analyses. This study aims to test some of the hypotheses about the origins of lithic raw materials during the Gravettian and Magdalenian, using infrared spectroscopic measurements. These analyses are based on differences and similarities in the mineralogy and crystallography of rocks. Using this method, we test for long-distance raw-material transport between the sites of the Swabian Jura and the Freiburg basin, 200 km to the south-west, and the region of the Altmühl Valley, 150 km to the north-east. For this, we created a reference database of 114 lithic raw material outcrops from Southern Germany and compared these specimens with artifacts from eleven archeological sites. Our study reconstructs the raw-material procurement and transport during the Gravettian and Magdalenian and reveals settlement patterns and territories that span over more than 300 km in Central Germany.

Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution

Ground validation of manipulator adaptive variable admittance control method for detumbling a space noncooperative satellite

Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings

Abstract Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells’ electrical properties. Traditional methods like patch-clamp are precise but low-throughput and invasive. Nanoelectrode Arrays (NEAs) offer a promising alternative by enabling simultaneous intracellular and extracellular action potential (iAP and eAP) recordings with high throughput. However, accessing intracellular potentials with NEAs remains challenging. This study presents an AI-supported technique that leverages thousands of synchronous eAP and iAP pairs from stem-cell-derived cardiomyocytes on NEAs. Our analysis revealed strong correlations between specific eAP and iAP features, such as amplitude and spiking velocity, indicating that extracellular signals could be reliable indicators of intracellular activity. We developed a physics-informed deep learning model to reconstruct iAP waveforms from extracellular recordings recorded from NEAs and Microelectrode arrays (MEAs), demonstrating its potential for non-invasive, long-term, high-throughput drug cardiotoxicity assessments. This AI-based model paves the way for future electrophysiology research across various cell types and drug interactions.

Belt conveyor idler fault detection algorithm based on improved YOLOv5

Modulation by NPY/NPF-like receptor underlies experience-dependent, sexually dimorphic learning

Experimental evaluation of DC-DC buck converter based on adaptive fuzzy fast terminal synergetic controller

Myristoylated Eepd1 Enhances Lipolysis and Thermogenesis through PKA Activation to Combat Obesity

Early screening of lung function by electrical impedance tomography in people with normal spirometry reveals unrecognized pathological features

Neutrophil adhesion to vessel walls impairs pulmonary circulation in COVID-19 pathology

Absence of MCJ/DnaJC15 promotes brown adipose tissue thermogenesis

Maternal asthma imprints fetal lung ILC2s via glucocorticoid signaling leading to worsened allergic airway inflammation in murine adult offspring

Abstract The root of asthma can be linked to early life, with prenatal environments influencing risk. We investigate the effects of maternal asthma on the offspring’s lungs during fetal and adult life. Adult offspring of asthmatic mothers show an increase in lung group 2 innate lymphoid cell (ILC2) number and function with allergen-induced lung inflammation. Offspring of asthmatic mothers show phenotypic alteration of their lung ILC2s during fetal life, with increased expression of genes related to activation and glucocorticoid signaling. Furthermore, these offspring carry overlapping chromatin-accessible altered regions, including glucocorticoid receptor-binding regions in their lung ILC2s both at the fetal stage and adulthood, suggesting persistent prenatal epigenetic changes. Moreover, maternal exposure to glucocorticoids has similar effects on fetal lung ILC2s and contributes to allergen-induced lung inflammation during adulthood. Thus, asthma during pregnancy may have long-term effects on lung ILC2s in the offspring from the embryonic period, contributing to an increased risk of developing asthma.

Robust collection and processing for label-free single voxel proteomics

Increased SOAT2 expression in aged regulatory T cells is associated with altered cholesterol metabolism and reduced anti-tumor immunity

Revealing an unexpectedly low electron injection threshold via reinforced shock acceleration

Author Correction: Future increase in compound soil drought-heat extremes exacerbated by vegetation greening

Efficient continuous SF6/N2 separation using low-cost and robust metal-organic frameworks composites