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PoornimaChintala

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This edition of our Newsletter is a testament to our collective dedication and the exciting progress we’ve achieved. The completion of our first Periodic Report marks a significant milestone, and the advancements in tetrahedrite mineral-based thermoelectric materials are not just promising -they are a lap towards a sustainable future. We’re excited to share updates on our ongoing activities, our synergistic collaborations with the EHRASE cluster and THERMOS project, and insightful technical information on thermoelectric generators. But that’s not all, join us on the Consortium Tour, where this time SGUDS and IGME-CSIC take centre stage. Plus, don’t miss the insightful interview with Doug Crane from our Scientific Advisory Board, whose expertise enriches our understanding of thermoelectrics. This edition also features the fascinating adventures of Starty, exploring the practical uses of thermoelectric devices in a narrative that’s both educational and engaging. Looking ahead, we eagerly anticipate your visit to the START booth at the upcoming 40th International and 20th European Thermoelectric Conference, ICT/ECT 2024, in Krakow. We hope this Newsletter serves not only as a source of information but also as an inspiration for continued excellence. Stay connected with us for more exciting updates from START on our website and social media channels.

EU START PROJECT. START-Newsletter_Issue_4.pdf

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Marine and terrestrial biogeochemical models are key components of the Earth System Models (ESMs) used toproject future environmental changes. However, their slow adjustment time also hinders effective use of ESMsbecause of the enormous computational resources required to integrate them to a pre-industrial equilibrium. Here,a solution to this "spin-up" problem based on "sequence acceleration", is shown to accelerate equilibration of state-of-the-art marine biogeochemical models by over an order of magnitude. The technique can be applied in a "blackbox" fashion to existing models. Even under the challenging spin-up protocols used for Intergovernmental Panelon Climate Change (IPCC) simulations, this algorithm is 5 times faster. Preliminary results suggest that terrestrialmodels can be similarly accelerated, enabling a quantification of major parametric uncertainties in ESMs, improvedestimates of metrics such as climate sensitivity, and higher model resolution than currently feasible.

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Presenter: Andrew Schroeder, PhD. Project Manager & Senior Data Curator, 4D Nucleome Data Coordination and Integration Center (4DN-DCIC), Park Lab, Department of Biomedical Informatics, Harvard Medical School Abstract The Common Fund 4D Nucleome program, currently in its 9th year, is a consortium of researchers that aims to understand the principles behind the three-dimensional organization of the nucleus and how this organization can change over time to affect a variety of cellular processes. The 4DN Data Portal (data.4dnucleome.org) is an expanding resource hosting data generated by the 4DN Network and other reference nucleomics data sets. The portal provides tools for search, exploration, visualization, and download. An overview of the data portal, highlighting available data, how it can be found, visualized and used for analyses will be presented. The top 3 key questions that the 4DN data portal can answer: 1. Are there significant sites of long-range chromatin contacts near my gene or region of interest? 2. What omics datasets are available for my tissue of interest? 3. Are there imaging datasets available that are relevant to my tissue of interest? Upcoming webinars schedule: https://dknet.org/about/webinar

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Large language models (LLMs) are in the spotlight. Laypeople are aware of and are using the LLMs such as OpenAI’s ChatGPT and Google’s Gemini on a daily basis. While companies are exploring new business opportunities, researchers have gained access to an unprecedented scientific playground that allows for fast experimentation with limited resources and immediate results. In this talk, using concrete examples from requirements engineering, I am going to put forward several research opportunities that are enabled by the advent of LLMs. I will show how LLMs, as a key example of modern AI, unlock research topics that were deemed as too challenging until recently. Then, I will critically discuss the perils that we face when it comes to planning, conducting, and reporting on credible research results following a rigorous scientific approach. This talk will stress the inherent tension between the exciting affordances offered by this new technology, which include the ability to generate non-factual outputs (fiction), and our role and societal responsibility as information scientists.

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HIV (human immunodeficiency virus) is a virus that attacks cells that help the body fight infection, making a person more vulnerable to other infections and diseases. It is spread by contact with certain bodily fluids of a person with HIV, most commonly during unprotected sex (sex without a condom or HIV medicine to prevent or treat HIV), or through sharing injection drug equipment. Seasonal influenza (the flu) is an acute respiratory infection caused by influenza viruses. It is common in all parts of the world. Most people recover without treatment. Influenza spreads easily between people when they cough or sneeze. Vaccination is the best way to prevent the disease. Symptoms of influenza include acute onset of fever, cough, sore throat, body aches and fatigue. Treatment should aim to relieve symptoms. People with the flu should rest and drink plenty of liquids. Most people will recover on their own within a week. Medical care may be needed in severe cases and for people with risk factors. There are 4 types of influenza viruses, types A, B, C and D. Influenza A and B viruses circulate and cause seasonal epidemics of disease. Influenza A viruses are further classified into subtypes according to the combinations of the proteins on the surface of the virus. Currently circulating in humans are subtype A(H1N1) and A(H3N2) influenza viruses. The A(H1N1) is also written as A(H1N1)pdm09 as it caused the pandemic in 2009 and replaced the previous A(H1N1) virus which had circulated prior to 2009. Only influenza type A viruses are known to have caused pandemics. Influenza B viruses are not classified into subtypes but can be broken down into lineages. Influenza type B viruses belong to either B/Yamagata or B/Victoria lineage. Influenza C virus is detected less frequently and usually causes mild infections, thus does not present public health importance. Influenza D viruses primarily affect cattle and are not known to infect or cause illness in people.

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ManganesehasbeenobservedonMarsbytheNASACuriosityroverinavarietyofcontextsand isanimportantindicatorofredoxprocessesinhydrologicsystemsonEarth.WithintheMurrayformation,an ancientprimarilyfine‐grainedlacustrinesedimentarydeposit inGalecrater,Mars,haveobservedupto45× enrichmentinmanganeseandupto1.5×enrichmentinironwithincoarsergrainedbedrocktargetscomparedto themeanMurraysedimentcomposition.Thisenrichment inmanganesecoincideswiththetransitionbetween twostratigraphicunitswithintheMurray:SuttonIsland, interpretedasalakemarginenvironment,andBlunts Point,interpretedasalakeenvironment.OnEarth,lacustrineenvironmentsarecommonlocationsofmanganese precipitationduetohighlyoxidizingconditionsinthelakes.Here,weexplorethreemechanismsfor ferromanganeseoxideprecipitationatthislocation:authigenicprecipitationfromlakewateralongalakeshore, authigenicprecipitationfromreducedgroundwaterdischargingthroughporoussandsalongalakeshore,and earlydiageneticprecipitationfromgroundwaterthroughporoussands.All threescenariosrequirehighly oxidizingconditionsandwediscussoxidantsthatmayberesponsiblefortheoxidationandprecipitationof manganeseoxides.Thisworkhasimportant implicationsforthehabitabilityofMarstomicrobesthatcould haveusedMnredoxreactions,owingtoitsmultipleredoxstates,asanenergysourceformetabolism.

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