Food chain slide_1

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Heat units, also known as growing degree days (GDD), are a crucial concept in plant physiology and agricultural science, providing a measure of heat accumulation used to predict plant development rates and stages. This measure is particularly useful in understanding and forecasting the growth phases of plants, such as flowering, fruiting, and maturity, which are temperature-dependent. Key points on the importance of heat units in plant physiology include: Predicting Phenological Events: Heat units help predict significant events in a plant’s life cycle, such as germination, flowering, and harvest times. This is vital for farmers and gardeners to optimize planting schedules and manage crop cycles efficiently. Agricultural Planning: By calculating GDDs, agriculturists can decide the best times for planting, irrigating, applying fertilizers, and controlling pests. This can lead to better crop yields and improved management of resources. Varietal Selection: Different plant varieties have specific heat unit requirements. Understanding these requirements helps in selecting the right varieties for a particular climatic zone, thus maximizing productivity and sustainability. Climate Change Adaptation: Monitoring heat units over time can provide insights into shifting climate patterns and help in developing strategies to adapt agricultural practices to changing environmental conditions. Research and Breeding: In plant breeding, heat unit data can help in developing varieties with desired traits such as drought tolerance or shortened growing periods, which are particularly valuable in regions facing climatic stresses.

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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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Taphonomy is the study of how organisms decay and become fossilized or preserved in the paleontological record. The term taphonomy (from Greek táphos, τάφος 'burial' and nomos, νόμος 'law') was introduced to paleontology in 1940[1] by Soviet scientist Ivan Efremov to describe the study of the transition of remains, parts, or products of organisms from the biosphere to the lithosphere.[2][3] The term taphomorph is used to describe fossil structures that represent poorly-preserved, deteriorated remains of a mixture of taxonomic groups, rather than of a single one.

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Using deep archival observations from the Chandra X-ray Observatory, we present an analysis of linear X-ray-emitting features located within the southern portion of the Galactic center chimney, and oriented orthogonal to the Galactic plane, centered at coordinates l = 0.08◦ , b = −1.42◦ . The surface brightness and hardness ratio patterns are suggestive of a cylindrical morphology which may have been produced by a plasma outflow channel extending from the Galactic center. Our fits of the feature’s spectra favor a complex two-component model consisting of thermal and recombining plasma components, possibly a sign of shock compression or heating of the interstellar medium by outflowing material. Assuming a recombining plasma scenario, we further estimate the cooling timescale of this plasma to be on the order of a few hundred to thousands of years, leading us to speculate that a sequence of accretion events onto the Galactic Black Hole may be a plausible quasi-continuous energy source to sustain the observed morphology

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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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PHOTOSYNTHETIC BACTERIA (OXYGENIC AND ANOXYGENIC)

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