Lifeboat Foundation: Safeguarding Humanity
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Category: biological – Page 120

The Nature of Aging

Aging appears to progress similarly across species, from worms and flies to mice and humans, and involves pathways related to early development. Guest Linda Partridge talks with Gordon while visiting the Buck Institute to discuss the evolutionary trade offs of aging mechanisms, the role of nutrient-sensing pathways, and how we might get the most benefit from preventative interventions in midlife.

Linda Partridge, born in 1950 in Bath, England, studied and graduated in biology at the University of Oxford. After three years of postdoctoral research at the University of York, she was Demonstrator, Lecturer, Reader and finally Professor at the University of Edinburgh. After many years in Scotland, in 1994 she became Professor of Biometry, University College London. She is both a founding director of the new Max Planck Institute for Biology of Ageing in Cologne and Director of the UCL Institute of Healthy Ageing. Linda Partridge’s research is directed to understanding both how the rate of aging evolves in nature and the mechanisms by which healthy lifespan can be extended in laboratory model organisms. Her work has focussed in particular on the role of nutrient-sensing pathways, such as the insulin/insulin-like growth factor signaling pathway, and on dietary restriction.

Interaction-free, single-pixel quantum imaging with undetected photons

Over the past few decades, several imaging protocols based on quantum technologies have been realized1,2, which have expanded the application capabilities of optical imaging. These include ghost imaging (GI)3,4, quantum imaging with undetected photons (QIUP)5, and interaction-free measurements (IFMs)6,7. The quantum GI scheme relies on the spatial correlations of entangled photon pairs and requires two-photon coincident measurements. Furthermore, ghost imaging can also be realized with classical intensity-fluctuation correlations8. Later, various single-pixel imaging (SPI) protocols were proposed9,10,11,12,13, where the spatial correlations are not between two photons but between one photon and a programmable mask held in a spatial light modulator (SLM).

In contrast to modern digital cameras employing array sensors to capture images, SPI use a sequence of masks to interrogate the scene along with the correlated intensity measurements by a single-pixel detector. The spatially resolved masks are usually generated by computer and displayed by SLM. Combined with compressive techniques10, the number of sampling measurements is fewer than the total number of pixels in the image. Thereby, SPI can reduce the data processing requirement, and shows potential capability for high dimensional sensing12. On the other hand, the modern single-photon detector is featured by improved detection efficiency, lower dark counts, and faster timing response14. Such enhancements have significance to applying SPI into weak signal detection scenarios, such as scattering medium imaging or long-range 3D imaging11.

The QIUP scheme is based on induced coherence (IC), which was first proposed by Zou, Wang, and Mandel15. They used two photon sources to generate photon pairs. By overlapping path of two sources for one photon (idler)15,16,17 and establishing the so-called path identity18,19, there is no information about the origin of the other photon (signal). Thus, the signal photon is in the superposition state of being created in either of the sources. The phase and transmissivity of the idler photon are encoded in the interference of the signal photon. Inserting one object onto the idler path between two sources, one can obtain images exclusively with the signal photons which have no interaction with the object5. In contrast to GI, QIUP does not involve the detection of the photon illuminating the object or any coincidence measurement. This is an advantage of QIUP, as the wavelength of the detected photon can be chosen independently from that of the photon interacting with the object5. This concept was further explored in infrared (IR) spectroscopy20, optical coherence tomography21,22, mid-IR imaging23,24,25, terahertz (THz) sensing26, biological microscopy27, and holography28. Recently, the related SU(1,1) interferometer has been investigated and employed in quantum-enhanced metrology29,30,31,32,33.

The top five telomere myths

Let me assure you that my intent in this article is not to refute any empirical data or established theories about telomeres. Instead, I will explain why I believe that the historical course of scientific discoveries and an outdated paradigm about the biological cause of aging have led to the use of inaccurate language in describing the roles and functions of telomeres.

Dr. Stuart Minchin, Ph.D. — Sustainable Pacific Development Through Science, Knowledge & Innovation

Is the Director General of the Pacific Community (SPC — https://www.spc.int/about-us/director-general) which is the largest intergovernmental organization in the Pacific and serves as a science and technology for development organization owned by the 26 Member countries and territories in the Pacific region.

SPC’s 650 member staff deliver services and scientific advice to the Pacific across the domains of Oceans, Islands and People, and has deep expertise in food security, water resources, fisheries, disasters, energy, maritime, health, statistics, education, human rights, social development and natural resources.

Dr. Minchin previously served as the Chief of the Environmental Geoscience Division of Geoscience Australia, and has an extensive background in the management and modelling of environmental data and the online delivery of data, modelling and reporting tools for improved natural resource management. He has a long track record of conceiving, developing and delivering transformational and innovative projects in the Environmental and Natural Resource Management domains.

Dr. Minchin has represented Australia in key international forums and was Australia’s Principal Delegate to both the UN Global Geospatial Information Management Group of Experts (UNGGIM) and the Intergovernmental Group on Earth Observations (GEO).

Dr. Minchin has previously been responsible for the Environmental Observation and Landscape Science (EOLS) research program in CSIRO and prior to that was a Principal Scientist with the Victorian Department of Sustainability and Environment.

Dr. Minchin has a PhD in Aquatic/Environmental Chemistry, from Monash University, where he also did his undergraduate work in Chemistry achieving a BSc (Hons). He also holds a BSc (Aquatic Science), Aquatic Chemistry and Aquatic Biology from Deakin University.

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Shrinking hydrogels enlarge nanofabrication options

Researchers from Carnegie Mellon University and the Chinese University of Hong Kong have developed a strategy for creating ultrahigh-resolution, complex 3D nanostructures out of various materials.

Carnegie Mellon University’s Yongxin (Leon) Zhao and the Chinese University of Hong Kong’s Shih-Chi Chen have a big idea for manufacturing nanodevices.

Zhao’s Biophotonics Lab develops novel techniques to study biological and pathological processes in cells and tissues. Through a process called , the lab works to advance techniques to proportionally enlarge microscopic samples embedded in a hydrogel, allowing researchers to be able to view fine details without upgrading their microscopes.

Prof. IRINA RISH — AGI, Complex Systems, Transhumanism #NeurIPS

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Irina Rish is a world-renowned professor of computer science and operations research at the Université de Montréal and a core member of the prestigious Mila organisation. She is a Canada CIFAR AI Chair and the Canadian Excellence Research Chair in Autonomous AI. Irina holds an MSc and PhD in AI from the University of California, Irvine as well as an MSc in Applied Mathematics from the Moscow Gubkin Institute. Her research focuses on machine learning, neural data analysis, and neuroscience-inspired AI. In particular, she is exploring continual lifelong learning, optimization algorithms for deep neural networks, sparse modelling and probabilistic inference, dialog generation, biologically plausible reinforcement learning, and dynamical systems approaches to brain imaging analysis. Prof. Rish holds 64 patents, has published over 80 research papers, several book chapters, three edited books, and a monograph on Sparse Modelling. She has served as a Senior Area Chair for NeurIPS and ICML. Irina’s research is focussed on taking us closer to the holy grail of Artificial General Intelligence. She continues to push the boundaries of machine learning, continually striving to make advancements in neuroscience-inspired AI.

In a conversation about artificial intelligence (AI), Irina and Tim discussed the idea of transhumanism and the potential for AI to improve human flourishing. Irina suggested that instead of looking at AI as something to be controlled and regulated, people should view it as a tool to augment human capabilities. She argued that attempting to create an AI that is smarter than humans is not the best approach, and that a hybrid of human and AI intelligence is much more beneficial. As an example, she mentioned how technology can be used as an extension of the human mind, to track mental states and improve self-understanding. Ultimately, Irina concluded that transhumanism is about having a symbiotic relationship with technology, which can have a positive effect on both parties.

Tim then discussed the contrasting types of intelligence and how this could lead to something interesting emerging from the combination. He brought up the Trolley Problem and how difficult moral quandaries could be programmed into an AI. Irina then referenced The Garden of Forking Paths, a story which explores the idea of how different paths in life can be taken and how decisions from the past can have an effect on the present.

To better understand AI and intelligence, Irina suggested looking at it from multiple perspectives and understanding the importance of complex systems science in programming and understanding dynamical systems. She discussed the work of Michael Levin, who is looking into reprogramming biological computers with chemical interventions, and Tim mentioned Alex Mordvinsev, who is looking into the self-healing and repair of these systems. Ultimately, Irina argued that the key to understanding AI and intelligence is to recognize the complexity of the systems and to create hybrid models of human and AI intelligence.

Find Irina;

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Microscopic Animal Brought Back To Life After 24,000 Years Frozen In Siberian Permafrost

Tardigrades have competition in the realm of microscopic and incredibly sturdy beasties. Like tardigrades, Bdelloid rotifers can also survive drying, freezing, starving, and even low-oxygen conditions. Now, scientists report that they revived some of these rotifers after having been frozen in Siberian permafrost for at least 24,000 years.

The incredible observations are reported in the journal Current Biology. The researchers took samples of permafrost about 3.5 meters (11.5 feet) deep and slowly warmed the sample, which led to the resurrection of several microscopic organisms including these tiny little animals.

“Our report is the hardest proof as of today that multicellular animals could withstand tens of thousands of years in cryptobiosis, the state of almost completely arrested metabolism,” co-author Stas Malavin of the Soil Cryology Laboratory at the Institute of Physicochemical and Biological Problems in Soil Science in Pushchino, Russia, said in a statement.

Scientists Uncover a Gut-Brain Connection for Social Development

To learn to socialize, zebrafish need to trust their gut.

Gut microbes encourage specialized cells to prune back extra connections in brain circuits that control social behavior, new University of Oregon research in zebrafish shows. The pruning is essential for the development of normal social behavior.

The researchers also found that these ‘social’ neurons are similar in zebrafish and mice. That suggests the findings might translate between species — and could possibly point the way to treatments for a range of neurodevelopmental conditions.

Trillions of tiny, self-replicating satellites could unlock interstellar travel

Alpha Centauri, here we come.

However, while technology has indeed advanced a long way since the 1940s, it still seems like we are still a long way from having a fully functional von Neumann machine. That is unless you turn to biology. Even simple biological systems can perform absolutely mind-blowing feats of chemical synthesis. And there are few people in the world today who know that better than George Church. The geneticist from Harvard has been at the forefront of a revolution in the biological sciences over the last 30 years. Now, he’s published a new paper in Astrobiology musing about how biology could aid in creating a pico-scale system that could potentially explore other star systems at next to no cost.

“Pico-scale” in this context means weighing on the order of one pico-gram. Since the smallest operational satellite ever created so far weighed a mere 33 grams, scaling that down to 10–12 times that size might sound ambitious. But that’s precisely what biological systems could potentially do.

A typical bacteria weighs right around one pico-gram. And with sufficiently advanced genetic modification, bacteria can do anything from processing toxic waste to emitting light. Therefore, Dr. Church thinks they might make an excellent interstellar exploration tool.

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