Lifeboat Foundation

While taking snapshots with the high-speed electron camera at the Department of Energy’s SLAC National Acceleratory Laboratory, researchers discovered new behavior in an ultrathin material that offers a promising approach to manipulating light that will be useful for devices that detect, control or emit light, collectively known as optoelectronic devices, and investigating how light is polarized within a material. Optoelectronic devices are used in many technologies that touch our daily lives, including light-emitting diodes (LEDs), optical fibers and medical imaging.

As reported in Nano Letters, the team, led by SLAC and Stanford professor Aaron Lindenberg, found that when oriented in a specific direction and subjected to linear terahertz radiation, an ultrathin film of tungsten ditelluride, which has desirable properties for polarizing light used in optical devices, circularly polarizes the incoming light.

Terahertz radiation lies between the microwave and the infrared regions in the electromagnetic spectrum and enables novel ways of both characterizing and controlling the properties of materials. Scientists would like to figure out a way to harness that light for the development of future optoelectronic devices.

The Omega Point cosmo-teleology emerges from the intersection of quantum cosmology, teleology, and complex systems theory. Originally conceptualized by French philosopher Pierre Teilhard de Chardin, the Omega Point envisions the universe evolving towards a state of maximum complexity and consciousness (Teilhard de Chardin, 1955). Such a state represents the ultimate goal and culmination of cosmic evolution, wherein the convergence of mind and matter leads to a unified superintelligence.

The Omega Point theory postulates that the universe’s evolution is directed towards increasing complexity and consciousness, a teleological process with a purposeful end goal (Teilhard de Chardin, 1955). The concept was further refined by physicists and cosmologists, including John David Garcia (Garcia, 1996), Paolo Soleri (Soleri, 2001), Terence McKenna (McKenna, 1991), Frank Tipler (Tipler, 1994), and Andrew Strominger (Strominger, 2016).

A complementary perspective to the Omega Point theory is found in the Holographic Principle, which posits that all information within our universe is encoded on its boundary. Such an idea suggests our three-dimensional reality is a projection from this two-dimensional surface (Bekenstein, 2003). In the holographic universe, everything we perceive is a reflection of data encoded at the cosmic edge, which could imply that our entire universe resides within a black hole of a larger universe (Susskind, 1995). This perspective aligns with the concept of maximum informational density at the Omega Point and highlights the profound interconnectedness of all phenomena, blurring the boundaries between mind, matter, and the cosmos into a singular, computational entity.

This is the first lesson that will eventually lead to Grover’s Algorithm and Rotation (Phase) Estimation. We talk about the task of distinguishing between two qubit states, with \.

Over the recent decades, comprehensive genome-wide association studies (GWAS) have indicated the potential influence of genetic factors on one’s alcohol consumption volume and identified over 100 related variants^6,7. However, a predominant proportion of the identified variants are localized within noncoding regions, and their effect sizes tend to be small, making interpretation and identification of the causal gene challenging⁸. In addition, previous GWAS mainly utilized imputed genotype data, which only cover limited regions of the genome, and thus may have missed many potential genes. Furthermore, GWAS studies focused mainly on common variants, and few studies have investigated rare variants associated with alcohol consumption, which yield greater potential to interpret biological function and elucidate mechanisms⁹. Although there are studies that have attempted to leverage exome chip data to identify rare variants contributing to alcohol consumption, the sample size was small and limited regions of the whole exome were examined¹⁰.

The introduction of whole exome sequencing (WES) provides a great chance to overcome the limitations of previous genetic studies on alcohol consumption with a substantially larger amount of rare and ultra-rare protein-coding variants^11,12,13. Collapsing of loss-of-function (LOF) variants helps estimate the effect direction of associated genes^13,14. When combined with large-scale population cohorts with multi-modal phenotypic data, WES would greatly facilitate our understanding of the genetic underpinnings of alcohol consumption as well as its implication on physical and mental health⁶. However, to our knowledge, there have been few large-scale WES studies on alcohol consumption, let alone elucidating the potential implications of the identified genes^10,15. Meanwhile, as indicated by a previous genome-wide association study, significant genetic associations existed between alcohol consumption and several body health phenotypes⁷. The application of phenome-wide analysis for alcohol-related genes can help extend and deepen our current comprehension of the association between alcohol consumption and human health.

Hence, aiming to refine the genetic architecture of alcohol consumption, we conduct an exome-wide association study (ExWAS) for alcohol consumption among 304,119 individuals from the UK Biobank (UKB). We also examine the rare-variant associations with genes reported by previous GWAS^6,7,16,17. Finally, we provide biological insights into the identified genes via bioinformatics analyses and phenome-wide association analysis (PheWAS).

Gallium nitride (GaN)-based light-emitting diodes (LEDs) have transformed the lighting industry by replacing conventional lighting technologies with superior energy efficiency, longer operating life and greater environmental sustainability.

In recent years, considerable attention has been paid to the trend toward miniaturization of LEDs, driven by display devices, augmented reality, virtual reality, and other emerging technologies. Due to the lack of cost-effective native substrates, the presence of high threading dislocation density in heteroepitaxial films grown on sapphire substrate is a major limiting factor for device performance.

In addition, Fresnel reflections at the interface between epitaxy and substrate caused by abrupt changes in the refractive indices of the material reduce the light energy utilization.

The move has stumped the scientific community as there’s no obvious reason for it.

This Perspective explores the potential of organic electrochemical neurons, which are based on organic electrochemical transistors, in the development of adaptable and biointegrable neuromorphic event-based sensing applications.

Eexxeccellent.

Human brains outperform computers in many forms of processing and are far more energy efficient. What if we could harness their power in a new form of biological computing?

Continue reading “Thomas Hartung and colleagues | The future of organoid intelligence | Frontiers Forum Deep Dive 2023” »

In multicellular organisms, many biological pathways exhibit a curious structure, involving sets of protein variants that bind or interact with one another in a many-to-many fashion. What functions do these seemingly complicated architectures provide? And can similar architectures be useful in synthetic biology? Here, Dr. Elowitz discusses recent work in his lab that shows how many-to-many circuits can function as versatile computational devices, explore the roles these computations play in natural biological contexts, and show how many-to-many architectures can be used to design synthetic multicellular behaviors.

About Michael Elowitz.
Michael Elowitz is a Howard Hughes Medical Institute Investigator and Roscoe Gilkey Dickinson Professor of Biology and Biological Engineering at Caltech. Dr. Elowitz’s laboratory has introduced synthetic biology approaches to build and understand genetic circuits in living cells and tissues. As a graduate student with Stanislas Leibler, Elowitz developed the Repressilator, an artificial genetic clock that generates gene expression oscillations in individual E. coli cells. Since then, his lab has continued to design and build synthetic genetic circuits, bringing a “build to understand” approach to bacteria, yeast, and mammalian cells. He and his group have shown that gene expression is intrinsically stochastic, or ‘noisy’, and revealed how noise functions to enable probabilistic differentiation, time-based regulation, and other functions. Currently, Elowitz’s lab is bringing synthetic approaches to understand and program multicellular functions including multistability, cell-cell communication, epigenetic memory, and cell fate control, and to provide foundations for using biological circuits as therapeutic devices. His lab also co-develops systems such as “MEMOIR” that allows cells to record their own lineage histories and tools for RNA export, and precise gene expression. Elowitz received his PhD in Physics from Princeton University and did postdoctoral research at Rockefeller University. Honors include the HFSP Nakasone Award, MacArthur Fellowship, Presidential Early Career Award, Allen Distinguished Investigator Award, the American Academy of Arts and Sciences, and election to the National Academy of Sciences.

Continue reading “Many-to-Many Networks: Multifunctional Modules for Multicellularity — Michael Elowitz” »