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Categories: Chemistry: Organic Chemistry, Computer Science: General

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An organometallic capsule that can reversibly assemble and disassemble in response to chemical stimuli was recently developed by chemists. Comprising ferrocene-based bent amphiphiles, this new capsule can act as a host for various types of guest molecules, such as electron acceptors and dyes. Thanks to the controllable release of its cargo, the capsule would find applications in catalysis, medicine, and biotechnology.

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Methylcyclohexane is very promising as a hydrogen carrier that can safely and efficiently transport and store hydrogen. However, the dehydrogenation process using catalysts has issues due to its durability and large energy loss. Recently, researchers have succeeded in using solid oxide fuel cells to generate electricity directly from methylcyclohexane and recover toluene for reuse. This research is expected to not only reduce energy requirements but also explore new chemical synthesis by fuel cells.

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A team of computer scientists recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow -- up to 60,000 times slower than code written in other programming languages -- and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.

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Researchers have looked beyond biochemistry to publish groundbreaking work on the physics of fat droplets found inside many types of cells, revealing them to be a potential threat to a cell's nucleus.They have discovered fat-filled lipid droplets' surprising capability to indent and puncture the nucleus, the organelle which contains and regulates a cell's DNA. The stakes of their findings are high: a ruptured nucleus can lead to elevated DNA damage that is characteristic of many diseases, including cancer.

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Researchers have implemented a quantum-based method to observe a quantum effect in the way light-absorbing molecules interact with incoming photons. Known as a conical intersection, the effect puts limitations on the paths molecules can take to change between different configurations. The observation method makes use of a quantum simulator, developed from research in quantum computing, and offers an example of how advances in quantum computing are being used to investigate fundamental science.

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Researchers have succeeded in transforming brain signals into audible speech. By decoding signals from the brain through a combination of implants and AI, they were able to predict the words people wanted to say with an accuracy of 92 to 100%.

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Using a trapped-ion quantum computer, the research team witnessed the interference pattern of a single atom caused by a 'conical intersection'. Conical intersections are known throughout chemistry and are vital to rapid photo-chemical processes such as light harvesting in human vision or photosynthesis.

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Researchers have developed and demonstrated a new method for high-throughput single-cell sorting that uses stimulated Raman spectroscopy rather than the traditional approach of fluorescence-activated cell sorting. The new approach could offer a label-free, nondestructive way to sort cells for a variety of applications, including microbiology, cancer detection and cell therapy.

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Researchers see potential in educational settings for the newest official ChatGPT plugin, called Code Interpreter, they've found limitations for its use by scientists who work with biological data utilizing computational methods to prioritize targeted treatment for cancer and genetic disorders.

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A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a standard laptop.

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Mathematical modeling can show how to safely blend hydrogen with natural gas for transport in existing pipeline systems. A secure and reliable transition to hydrogen is one of the proposed solutions for the shift to a net-zero-carbon economy.

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A team of chemists have developed a novel concept in which a mixture of molecules that behave like mirror images is converted to a single form. To this end, they use light as external energy source. The conversion is relevant e.g. for the preparation of drugs.

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In the form of DNA, nature shows how data can be stored in a space-saving and long-term manner. Bioinformatics specialists are developing DNA chips for computer technology. Researchers show how a combination of molecular biology, nanotechnology, novel polymers, electronics and automation, coupled with systematic development, could make DNA data storage useful for everyday use possible in a few years.

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Immunotherapies for cancer aim to induce the immune system to combat cancer cells more effectively. A research team has now described a new, modular strategy for T-cell-based immunotherapy that manages to work without complex genetic modifications. Modulation of cell-cell communications through an ingenious regulatory circuit using various small, specially folded DNA molecules (aptamers) causes cancer cells to directly activate their mortal enemies, T cells.

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Researchers have designed a new type of quantum computer that uses fermionic atoms to simulate complex physical systems. The processor uses programmable neutral atom arrays and is capable of simulating fermionic models in a hardware-efficient manner using fermionic gates. The team demonstrated how the new quantum processor can efficiently simulate fermionic models from quantum chemistry and particle physics.

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Researchers have developed a brain-computer interface (BCI) that has enabled a woman with severe paralysis from a brainstem stroke to speak through a digital avatar.

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Researchers have finally solved the long-standing puzzle of why graphene is so much more permeable to protons than expected by theory.

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A research team enhanced hydrogen evolution catalyst through stepwise deposition.

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Which structures do complex proteins adopt in solution? Biophysicists answer this question using the example of ubiquitin dimers as well as a new combination of high-resolution NMR spectroscopy and sophisticated computer simulations.

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Researchers have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with which this information from scientific publications can be automatically fed into databases. Until now, this had to be done literally by hand and was time-consuming.