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Categories: Chemistry: Organic Chemistry, Engineering: Robotics Research

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Iron--sulfur (Fe--S) proteins, essential to all life forms, are difficult to synthesise due to the complicated molecular machinery involved and sensitivity of Fe--S clusters to oxygen. In a new study, a team of researchers devised an innovative protocol for synthesising mature Fe--S proteins, by bringing together a recombinant sulfur assimilation (SUF) system and an oxygen-scavenging system, thereby, paving the way for new technologies and a better understanding of the evolution of life.

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A research team overcomes limitations of conventional strain sensors using computer vision integrated optical sensors.

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The global population of people older than 65 years of age is rapidly increasing the need for care. Although care robots are a promising solution to fill in for caregivers, their social implementation has been slow and unsatisfactory. A team of international researchers has now developed the first universal model that can be employed across cultural contexts to explain how ethical perceptions affect the willingness to use care robots.

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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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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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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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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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Scientific exploration of the deep ocean has largely remained inaccessible to most people because of barriers to access due to infrastructure, training, and physical ability requirements for at-sea oceanographic research.

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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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An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions.

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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 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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The world needs greener ways to make chemicals. In a new study, researchers demonstrate one potential path toward this goal by adapting hydrogen fuel cell technologies.

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Pneumatic artificial muscles (PAMs) are artificial devices that can simulate the mechanics of human muscles, and have shown great promise in industries requiring human-robot interaction systems. Despite their potential, controlling the trajectory performance of PAM-based systems is challenging owing to their nonlinear characteristics. Now, researchers have developed a novel adaptive sliding mode controller that uses fuzzy logic to estimate PAM-based system's parameters, promising enhanced tracking accuracy and adaptability compared to traditional control methods.