Lifeboat Foundation: Safeguarding Humanity
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Category: nanotechnology – Page 47

Alzheimer’s is the most common form of dementia, affecting an estimated 6.7 million people in the US. Researchers seeking an effective treatment for the affliction have, over the last 30 years, focused their efforts on a protein known as amyloid beta (A-beta), which form clumps in the brain.

These clumps of A-beta proteins attack nerve cells, resulting initially in short-term memory impairment and later in the loss of judgment, language and thought processes.

Other researchers have previously developed an antibody which can identify and attach itself to A-beta proteins and delay the progression of Alzheimer’s in patients with early-to-mild cognitive impairment by up to 36%.

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Process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacing the cloud with the human brain. One promising strategy for enabling such a system, denoted here as a “human brain/cloud interface” (“B/CI”), would be based on technologies referred to here as “neuralnanorobotics.” Future neuralnanorobotics technologies are anticipated to facilitate accurate diagnoses and eventual cures for the ∼400 conditions that affect the human brain. Neuralnanorobotics may also enable a B/CI with controlled connectivity between neural activity and external data storage and processing, via the direct monitoring of the brain’s ∼86 × 109 neurons and ∼2 × 1014 synapses. Subsequent to navigating the human vasculature, three species of neuralnanorobots (endoneurobots, gliabots, and synaptobots) could traverse the blood–brain barrier (BBB), enter the brain parenchyma, ingress into individual human brain cells, and autoposition themselves at the axon initial segments of neurons (endoneurobots), within glial cells (gliabots), and in intimate proximity to synapses (synaptobots). They would then wirelessly transmit up to ∼6 × 1016 bits per second of synaptically processed and encoded human–brain electrical information via auxiliary nanorobotic fiber optics (30 cm3) with the capacity to handle up to 1018 bits/sec and provide rapid data transfer to a cloud based supercomputer for real-time brain-state monitoring and data extraction. A neuralnanorobotically enabled human B/CI might serve as a personalized conduit, allowing persons to obtain direct, instantaneous access to virtually any facet of cumulative human knowledge. Other anticipated applications include myriad opportunities to improve education, intelligence, entertainment, traveling, and other interactive experiences. A specialized application might be the capacity to engage in fully immersive experiential/sensory experiences, including what is referred to here as “transparent shadowing” (TS). Through TS, individuals might experience episodic segments of the lives of other willing participants (locally or remote) to, hopefully, encourage and inspire improved understanding and tolerance among all members of the human family.

“We’ll have nanobots that… connect our neocortex to a synthetic neocortex in the cloud… Our thinking will be a… biological and non-biological hybrid.”

— Ray Kurzweil, TED 2014

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A research team from City University of Hong Kong (CityU) recently successfully achieved lattice-mismatch-free construction of III-V/chalcogenide core-shell heterostructure nanowires for electronic and optoelectronic applications. This breakthrough addresses crucial technological challenges related to the lattice mismatch problem in the growth of high-quality heterostructure semiconductors, leading to enhanced carrier transport and photoelectric properties.

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Nanoscale transistors are in demand for efficient digital circuits, and biasing of each device is critical. These stringent biasing conditions can be relaxed by obtaining precise values of the threshold voltages of the transistor. This leads to more tolerant logic states to the electrical noise.

To meet the requirements of reduced , CMOS field-effect transistors (FETs) are fabricated such that they operate in enhancement (E) mode, i.e., there are no free charge carriers in the channel at zero gate . On the other hand, depletion (D) mode transistors have higher currents than enhancement mode due to ample charge carrier density.

In contrast to switching applications of FET, for high-frequency applications, off-state of FET is not a compulsory requirement. In fact, the presence of a channel at zero gate bias is advantageous to obtain high transconductance at lower voltages. For Si FETs, the enhancement or depletion modes were determined at the fabrication step of ion implantation doping. However, it is challenging to implement this solution for the new generation of thin materials like organic semiconductors and 2D materials.

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An international research team led by RMIT University has designed and manufactured a virus-killing surface that could help control disease spread in hospitals, labs, and other high-risk environments. The surface made of silicon is covered in tiny nanospikes that skewer viruses on contact.

Lab tests with the hPIV-3 virus – which causes bronchitis, pneumonia, and croup – showed 96% of the viruses were either ripped apart or damaged to the point where they could no longer replicate to cause infection. These impressive results, featured on the cover of top nanoscience journal ACS Nano, show the material’s promise for helping control the transmission of potentially dangerous biological material in laboratories and healthcare environments.

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