Just add some cyanobacteria and mix.
The aviation industry faces increasing pressure to mitigate its environmental impact while maintaining operational efficiency. Industrial hemp, a versatile and sustainable crop, offers transformative potential across multiple facets of aviation: sustainable aviation fuel (SAF), carbon-neutral manufacturing materials, and carbon offset programs. Hemp’s ability to grow rapidly, its high yield of usable biomass, and its adaptability to marginal lands make it an excellent candidate for reducing aviation’s carbon footprint. This paper explores the technical specifications, economic feasibility, and environmental implications of incorporating industrial hemp into aviation, presenting a comprehensive case for its adoption.
That’s the fastest that any car with a hydrogen internal combustion engine has traveled. “It was an amazing experience,” Green told Space.com on Aug. 12 about his record-breaking drives.
“Anything above about 350 miles an hour [563 kph], we’d have gone away really pleased,” he added. “It is performing better. It was more reliable than we expected, and it has blown away the hydrogen record. It’s in every way a real thrill for all of us yesterday to see that happen.”
Green is no stranger to breaking records. In 1997, he drove a jet-powered car 763.035 mph (1,227.985 kph, or Mach 1.02), setting a new land speed record while also becoming the first person to break the sound barrier on land.
The scalable and sustainable production of graphene remains a significant challenge due to the high cost, complex processing, and environmental impact associated with fossil-derived graphite precursors. In this work, we report a biorenewable pathway for producing graphitic carbon from industrial hemp biomass, yielding a plant-derived material called CleanGraphene. This approach provides a renewable and potentially scalable alternative to petroleum- and coal-based graphene production while maintaining competitive structural and electrical performance. CleanGraphene samples are systematically characterized using X-ray diffraction (XRD), Raman spectroscopy, transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), and thermogravimetric analysis (TGA) to evaluate crystallographic order, layer stacking, defect density, surface chemistry, and thermal stability. The results show that optimized CleanGraphene materials consist of multilayer graphene-like platelets with compact interlayer spacing (d(002) ≈ 3.36–3.37 Å), extended crystallite coherence lengths (Lc up to ~75 nm), large in-plane sp2 domains (La exceeding ~200 nm), and relatively low defect densities, indicating well-developed graphitic ordering. Electrical conductivity measurements using a binder-free pelletization method and four-point probe analysis demonstrate that the highest quality CleanGraphene samples achieve conductivities of (8.4–8.6) × 104 S m−1, surpassing leading commercial graphene benchmarks measured under identical conditions. Structure–property correlations confirm that electrical performance is governed primarily by crystallite coherence, defect density, and interlayer stacking order, while surface oxygen content plays a secondary role within an ordered graphitic framework. All CleanGraphene samples exhibit excellent thermal stability, retaining more than 95% mass up to ~800–900 °C under an inert atmosphere. Collectively, these findings establish quantitative quality benchmarks for hemp-derived graphene and demonstrate that biomass-based graphene can achieve electrical and thermal performance comparable to, and in some cases exceeding, conventional commercial products. This work highlights industrial hemp as a promising renewable precursor for the scalable production of high-performance graphitic nanomaterials for electrically and thermally conductive composite applications.
A team led by Rice University bioscientist Caroline Ajo-Franklin has discovered how certain bacteria breathe by generating electricity, using a natural process that pushes electrons into their surroundings instead of breathing on oxygen. The findings, published in Cell last month, could enable new developments in clean energy and industrial biotechnology.
By identifying how these bacteria expel electrons externally, the researchers offer a glimpse into a previously hidden strategy of bacterial life. This work, which merges biology with electrochemistry, lays the groundwork for future technologies that harness the unique capabilities of these microscopic organisms.
“Our research not only solves a long-standing scientific mystery, but it also points to a new and potentially widespread survival strategy in nature,” said Ajo-Franklin, professor of biosciences, director of the Rice Synthetic Biology Institute and a Cancer Prevention and Research Institute of Texas (CPRIT) Scholar.
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Proteomic studies have identified thousands of protein changes in human Alzheimer’s disease brain tissue, offering significant opportunities for therapeutic and biomarker discovery. In this review, we discuss the current proteomic landscape of Alzheimer’s disease brain tissue, detailing protein changes across disease stages, brain regions, and neuropathological lesions (amyloid plaques, neurofibrillary tangles and cerebral amyloid angiopathy). By performing a combined analysis of 53 proteomics studies of human Alzheimer’s disease brain tissue, we highlight proteins of particular interest for future studies including highly reproducible protein changes across many studies, proteins altered in preclinical Alzheimer’s disease, and proteins significantly enriched in neuropathological lesions. This combined analysis revealed early synaptic vulnerability, progressive mitochondrial dysfunction and glial activation, and the prominent involvement of extracellular, glycosaminoglycan-binding proteins in amyloid plaques. We discuss key considerations for prioritising proteomic hits for drug discovery including disease relevance, safety considerations, assayability, and how protein structure can influence druggability. We discuss the careful consideration required for selecting an appropriate animal or cell model of Alzheimer’s disease for functional studies of proteomic hits and drug screening. We detail the strengths and limitations of several commonly used Alzheimer’s disease models including transgenic mouse models, iPSC derived cells, 3D cell cultures, organoids and emerging neurovascular organ-on-a-chip systems. Together, this review outlines a roadmap for translating proteomic discoveries into clinically meaningful therapies.
Reduced-intensity conditioning (RIC) has made allogeneic hematopoietic cell transplantation (allo-HCT) accessible to older patients and those who can’t tolerate myeloablative conditioning. The trade-off is less pre-transplant cytoreduction, and relapse remains a major limitation, especially in acute myeloid leukemia with adverse molecular or cytogenetic features and in patients who are MRD-positive at transplant.
Radioimmunotherapy (RIT) is being explored as a way to intensify leukemia-directed radiation without proportionally increasing radiation exposure to nonhematopoietic organs. A monoclonal antibody recognizes an antigen expressed in the hematopoietic compartment and carries a therapeutic radionuclide to the marrow, spleen and other sites of disease. It can be incorporated into an RIC transplant regimen.
The biological rationale, clinical experience, and emerging α-emitter platforms are reviewed in Frontiers. The clinical evidence remains early phase, but it shows that substantial radiation doses can be concentrated in hematopoietic tissues with reliable donor engraftment.
In the summer of 2022, a few months before ChatGPT showed up and scrambled everyone’s sense of the future, Byron Reese told me he was a techno-optimist and an AI skeptic.
Both at once.
Four years later, that combination looks less like a contradiction and more like one of the few defensible positions left in the room.
And his skepticism doesn’t come from the sidelines. Byron has two NASDAQ IPOs behind him and was running a company that uses AI to build products when we spoke.
Our two-hour conversation was officially about his book “Stories, Dice and Rocks That Think.” His argument: stories let us imagine the future, dice let us calculate it, and thinking rocks (computer chips) let us build it. But we ended up in places I didn’t plan for. A stone hand axe that our ancestors barely changed for over a million years. Helen Keller and the moment language switched on a mind. The Stoned Ape Theory of #consciousness. And why punctuality is a virtue somebody had to invent from the top down.
That last one stayed with me. If the clock could redefine what a good person looks like, what is #AI quietly redefining right now?