Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 39

Seasonality shapes much of life on Earth. Most species, including humans, have synchronized their own rhythms with those of the Earth’s seasons.

Plant growth cycles, the migration of billions of animals, and even aspects of human culture—from harvest rituals to Japanese cherry blossom viewings—are dictated by these dominant rhythms.

However, climate change and many other human impacts are altering Earth’s cycles. While humans can adapt their behavior by shifting the timing of crop harvests or Indigenous fire-burning practices, species are less able to adapt through evolution or range shifts.

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For the design of future materials, it is important to understand how the individual atoms inside a material interact with each other quantum mechanically. Previously inexplicable vibrational states between carbon chains (carbyne) and nanotubes have puzzled materials scientists.

Researchers from Austria, Italy, France, China and Japan led by the University of Vienna have now succeeded in getting to the bottom of this phenomenon with the help of Raman spectroscopy, innovative theoretical models and the use of machine learning. The results, published in Nature Communications, show the universal applicability of as a sensor due to its sensitivity to external influences.

For the design of future materials, it is important to understand how matter interacts on an atomic scale. These quantum mechanical effects determine all macroscopic properties of matter, such as electrical, magnetic, optical or . In experiments, scientists use Raman spectroscopy, in which light interacts with matter, to determine the vibrational eigenstates of the atomic nuclei of the samples.

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Ultra clean, air-free measurements reveal a new property of graphene. Graphene is often called a “miracle material” because it is both mechanically extremely strong and highly conductive, making it ideal for many technological applications. Physicists at the University of Vienna, led by Jani Kota

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Purpose Breast cancer (BC) is one of the most common primary tumor entities that develop brain metastases (BM) during disease progression. Multiple BM are associated with poorer prognosis, but various surgical, radiotherapeutic and systemic treatment approaches improve survival. We aimed to identify prognostic factors and evaluate the overall survival following BM surgery in patients with multiple BCBM. Methods All metachronous metastasized female patients with resected BCBM at our institution between 2008 and 2019 were included. Data on clinical, radiologic, and histopathologic parameters were recorded and analyzed using univariate and multivariate regression models. Results Among the 93 patients included in the final analysis, 30 individuals presented with multiple BM. Compared to patients with single BM, those with multiple BM were more likely to have infratentorial BM (adjusted odds ratio [aOR] 3.35, 95% confidence interval [CI] 1.03–10.83, p = 0.044), HER2(human epidermal growth factor receptor 2)-positive BC (aOR 3.93, 95% CI 1.23–12.53, p = 0.021) and hepatic metastases (aOR 5.86, 95% CI 1.34–25.61, p = 0.019). There was no significant difference in postoperative survival between individuals with multiple (median: 12.5 months) and single BM (17.0 months, p = 0.186). In the multivariate Cox regression analysis, adjuvant radiotherapy (adjusted hazard ratio [aHR] 5.93, 95% CI 1.06–33.26, p = 0.043) and trastuzumab treatment (aHR 4.95, 95% CI 1.72–14.25, p = 0.003) were associated with longer postoperative survival multiple BCBM patients. Conclusion BC patients with multiple BM show remarkable postoperative survival, particularly if combined with adjuvant radiotherapy. Our data justify the surgery of multiple BCBM in patients with appropriate clinical condition and feasible location of BM.

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A University of Nebraska–Lincoln engineering team is another step closer to developing soft robotics and wearable systems that mimic the ability of human and plant skin to detect and self-heal injuries.

Engineer Eric Markvicka, along with graduate students Ethan Krings and Patrick McManigal, recently presented a paper at the IEEE International Conference on Robotics and Automation in Atlanta, Georgia, that sets forth a systems-level approach for a technology that can identify damage from a puncture or , pinpoint its location and autonomously initiate self-repair.

The paper was among the 39 of 1,606 submissions selected as an ICRA 2025 Best Paper Award finalist. It was also a finalist for the Best Student Paper Award and in the mechanism and design category.

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