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Categories: Biology: Molecular, Computer Science: General
Published A new way to erase quantum computer errors
(via sciencedaily.com) Original source Researchers have demonstrated a type of quantum eraser. The physicists show that they can pinpoint and correct for mistakes in quantum computing systems known as 'erasure' errors.
Published Powering AI could use as much electricity as a small country
(via sciencedaily.com) Original source Artificial intelligence (AI) comes with promises of helping coders code faster, drivers drive safer, and making daily tasks less time-consuming. But a recent study demonstrates that the tool, when adopted widely, could have a large energy footprint, which in the future may exceed the power demands of some countries.
Published Newfound mechanism suggests drug combination could starve pancreatic cancer
(via sciencedaily.com) Original source A study found that a new combination of treatments safely decreased growth of pancreatic cancer in mice by preventing cancer cells from scavenging for fuel.
Published Epigenetic regulator MOF drives mitochondrial metabolism
(via sciencedaily.com) Original source Researchers have unveiled a new mechanism for regulating mitochondrial function. The findings reveal the critical role played by the enzymatic activity of the lysine acetyltransferase MOF in maintaining mitochondrial integrity and function through acetylation of mitochondrial electron transport chain component COX17. Cells lacking MOF-mediated COX17 acetylation exhibit dramatic mitochondrial defects and impaired ability to produce energy. Underscoring the clinical relevance of these findings, the team also showed that cells from human patients with a developmental disorder caused by mutations in MOF also exhibited respiratory defects that could be ameliorated by interventions such as acetylation-mimetic COX17 or mitochondrially targeted MOF.
Published Researchers create a neural network for genomics -- one that explains how it achieves accurate predictions
(via sciencedaily.com) Original source A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.
Published How male mosquitoes compensate for having only one X chromosome
(via sciencedaily.com) Researchers have discovered the master regulator responsible for balancing the expression of X chromosome genes between males and females in the malaria mosquito. This discovery helps scientists better understand the evolution of the epigenetic mechanisms responsible for equalizing gene expression between the sexes. The findings may contribute to the development of new ways to prevent the spread of malaria.
Published New discovery may 'unlock' the future of infectious disease and cancer treatment
(via sciencedaily.com) Original source Researchers have identified a 'guard mechanism' for a protein which attacks microbes in infected cells, opening the possibility of new treatments for Toxoplasma, Chlamydia, Tuberculosis and even cancer.
Published The end of genes: Routine test reveals unique divergence in genetic code
(via sciencedaily.com) Original source Scientists testing a new method of sequencing single cells have unexpectedly changed our understanding of the rules of genetics. The genome of a protist has revealed a seemingly unique divergence in the DNA code signalling the end of a gene, suggesting the need for further research to better understand this group of diverse organisms.
Published New open-source method to improve decoding of single-cell data
(via sciencedaily.com) Original source Researchers have developed a new open-source computational method, dubbed Spectra, which improves the analysis of single-cell transcriptomic data. By guiding data analysis in a unique way, Spectra can offer new insights into the complex interplay between cells — like the interactions between cancer cells and immune cells, which are critical to improving immunotherapy treatments.
Published New technology could reduce lag, improve reliability of online gaming, meetings
(via sciencedaily.com) Original source Whether you’re battling foes in a virtual arena or collaborating with colleagues across the globe, lag-induced disruptions can be a major hindrance to seamless communication and immersive experiences. That’s why researchers have developed new technology to make data transfer over optical fiber communication faster and more efficient.
Published Proteins roll the dice to determine bee sex
(via sciencedaily.com) Original source To date it has been unclear exactly how the sex of a bee is determined. A research team comprising biologists and chemists has now identified a key gene and the molecular mechanism linked with it. They describe how this process is similar to a game involving two dice.
Published Birders and AI push bird conservation to the next level
(via sciencedaily.com) Original source Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.
Published Avatars to help tailor glioblastoma therapies
(via sciencedaily.com) Original source Scientists have created a new zebrafish xenograft platform to screen for novel treatments for an aggressive brain tumor called glioblastoma, according to a new study.
Published AI drones to help farmers optimize vegetable yields
(via sciencedaily.com) Original source For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality and size of individual crops. Finding the optimal time to harvest is therefore a priority for farmers. A new approach making heavy use of drones and artificial intelligence demonstrably improves this estimation by carefully and accurately analyzing individual crops to assess their likely growth characteristics.
Published Honeybees are more selective in their choices for nutrition than previously thought
(via sciencedaily.com) Original source An international research group examined which plants honeybees favor when collecting nectar and pollen. The choices honeybees make have an impact on their health and also on humans, as honeybees pollinate important crop plants.
Published Instant evolution: AI designs new robot from scratch in seconds
(via sciencedaily.com) Original source Researchers developed the first AI to date that can intelligently design robots from scratch by compressing billions of years of evolution into mere seconds. It's not only fast but also runs on a lightweight computer and designs wholly novel structures from scratch — without human-labeled, bias-filled datasets.
Published How new plant cell walls change their mechanical properties after cell division
(via sciencedaily.com) Original source Scientists reveal new plant cell walls can have significantly different mechanical properties compared to surrounding parental cell walls, enabling cells to change their local shape and influence the growth of plant organs.
Published Preventing spread of parasitic DNA in our genomes
(via sciencedaily.com) Original source Researchers have identified a new enzyme called PUCH, which plays a key role in preventing the spread of parasitic DNA in our genomes. These findings may reveal new insights into how our bodies detect and fight bacteria and viruses to prevent infections.
Published Water makes all the difference
(via sciencedaily.com) Original source Water is a major driving force in the formation of separate reaction compartments within cells.
Published Engineering study employs deep learning to explain extreme events
(via sciencedaily.com) Original source At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it for nonlinear analysis of extreme events in wall-bounded turbulent flows, which are pervasive in numerous physics and engineering applications and impact wind and hydrokinetic energy, among others. Results show the technique employed can be invaluable for accurately identifying the sources of extreme events in a completely data-driven manner.