402 research outputs found
A critical comparison of general-purpose collective variables for crystal nucleation
The nucleation of crystals is a prominent phenomenon in science and
technology that still lacks a full atomic-scale understanding. Much work has
been devoted to identifying order parameters able to track the process, from
the inception of early nuclei to their maturing to critical size until growth
of an extended crystal. We critically assess and compare two powerful
distance-based collective variables, an effective entropy derived from liquid
state theory and the path variable based on permutation invariant vectors using
the Kob-Andersen binary mixture and a combination of enhanced-sampling
techniques. Our findings reveal a comparable ability to drive nucleation when a
bias potential is applied, and comparable free-energy barriers and structural
features. Yet, we also found an imperfect correlation with the committor
probability on the barrier top which was bypassed by changing the order
parameter definition
Where Did the Rhetoric of Science Go? A Double Review of Landmark Essays on Rhetoric of Science, Case Studies and Issues and Methods, a Two Volume Edited Collection by Randy Harris.
In this review essay, we look back at the evolution of the rhetoric of science by reviewing the Case Studies and Issues and Methods volumes edited by Randy Harris. We conclude by reflecting on the past, present, and future of the discipline
Optimal reaction coordinates and kinetic rates from the projected dynamics of transition paths
Finding optimal reaction coordinates and predicting accurate kinetic rates
for activated processes are two of the foremost challenges of molecular
simulations. We introduce an algorithm that tackles the two problems at once:
starting from a limited number of reactive molecular dynamics trajectories
(transition paths), we automatically generate with a Monte Carlo approach a
sequence of different reaction coordinates that progressively reduce the
kinetic rate of their projected effective dynamics. Based on a variational
principle, the minimal rate accurately approximates the exact one, and it
corresponds to the optimal reaction coordinate. After benchmarking the method
on an analytic double-well system, we apply it to complex atomistic systems:
the interaction of carbon nanoparticles of different sizes in water.Comment: 19 pages, 10 figure
Un sistema di micropagamenti su piattaforma Ethereum per il wireless roaming
Questo progetto di tesi tratta le tematiche relative al mondo della blockchain adottato da applicazioni decentralizzate. Nello specifico viene progettato e analizzato un sistema di gestione di microtransazioni applicato a un modello simulato in cui un utente attraverso il proprio device può connettersi a pagamento alla rete Wi-Fi di un router. L'alta richiesta di transazioni mette in luce uno dei problemi principali dei pagamenti decentralizzati tramite criptovalute, ossia il problema della scalabilità relativo al grande numero di transazioni al secondo. Tale progetto propone una soluzione tramite payment channel per ridurre le richieste, spostando queste ultime fuori dalla blockchain adottando un sistema messaggistico a multi firma per proteggere e convalidare i dati tramite algoritmi crittografici. Il sistema viene gestito da smart contracts, ossia dei contratti digitali tra due o più parti che definiscono le clausole da rispettare per la corretta esecuzione del processo
Hydrothermal Decomposition of Amino Acids and Origins of Prebiotic Meteoritic Organic Compounds
The organic compounds found in carbonaceous chondrite meteorites provide insight into primordial solar system chemistry. Evaluating the formation and decomposition mechanisms of meteoritic amino acids may aid our understanding of the origins of life and homochirality on Earth. The amino acid glycine is widespread in meteorites and other extraterrestrial environments; other amino acids, such as isovaline, are found with enantiomeric excesses in some meteorites. The relationship between meteoritic amino acids and other compounds with similar molecular structures, such as aliphatic monoamines and monocarboxylic acids is unclear; experimental results evaluating the decomposition of amino acids have produced inconclusive results about the preferred pathways, reaction intermediates, and if the conditions applied may be compatible with those occurring inside meteoritic parent bodies. In this work, we performed extensive tandem metadynamics, umbrella sampling, and committor analysis to simulate the neutral mild hydrothermal decomposition mechanisms of glycine and isovaline and put them into context for the origins of meteoritic organic compounds. Our ab initio simulations aimed to determine free energy profiles and decomposition pathways for glycine and isovaline. We found that under our modeled conditions, methylammonium, glycolic acid, and sec-butylamine are the most likely decomposition products. These results suggest that meteoritic aliphatic monocarboxylic acids are not produced from decomposition of meteoritic amino acids. Our results also indicate that the decomposition of L-isovaline prefers an enantioselective pathway resulting in the production of (S)-sec-butylamine
Formic Acid Synthesis in a Water–Mineral System: Major Role of the Interface
Mineral surfaces are known for their catalytic properties, as they lower kinetic bar- riers to reactions, and modify chemical equilibria. Using ab-initio molecular dynamics and enhanced sampling methods we predict that the MgO(001)/water interface ther- modynamically favours the formation of formic acid from carbon monoxide and water. This occurs despite the lack of direct participation from the surface atoms, the reac- tion taking place beyond the first adsorbed layer. Furthermore, the application of an external electric field on the reaction in bulk water shows a similar effect. We propose that formic acid may be stabilised by the surface electric field, by direct comparison with the equilibrium in bulk water with and without an external electric field applied, and at the MgO(001)/water interface
Profile and potential bioactivity of the miRNome and metabolome expressed in Malva sylvestris L. leaf and flower
Malva sylvestris L. (common mallow) is a plant species widely used in phytotherapy and ethnobotanical practices since time immemorial. Characterizing the components of this herb might promote a better comprehension of its biological effects on the human body but also favour the identification of the molecular processes that occur in the plant tissues. Thus, in the present contribution, the scientific knowledge about the metabolomic profile of the common mallow was expanded. In particular, the phytocomplex of leaves and flowers from this botanical species and the extraction capacity of different concentrations of ethanol (i.e., 95%, 70%, 50%, and 0%; v/v in ddH2O) for it were investigated by spectrophotometric and chromatographic approaches. In detail, 95% ethanol extracts showed the worst capacity in isolating total phenols and flavonoids, while all the hydroalcoholic samples revealed a specific ability in purifying the anthocyanins. HPLC–DAD system detected and quantified 20 phenolic secondary metabolites, whose concentration in the several extracts depended on their own chemical nature and the percentage of ethanol used in the preparation. In addition, the stability of the purified phytochemicals after resuspension in pure ddH2O was also proved, considering a potential employment of them in biological/medical studies which include in vitro and in vivo experiments on mammalian models. Here, for the first time, the expressed miRNome in M. sylvestris was also defined by Next Generation Sequencing, revealing the presence of 33 microRNAs (miRNAs), 10 typical for leaves and 2 for flowers. Then, both plant and human putative mRNA targets for the detected miRNAs were predicted by bioinformatics analyses, with the aim to clarify the possible role of these small nucleic acids in the common mallow plant tissues and to try to understand if they could exert a potential cross-kingdom regulatory activity on the human health. Surprisingly, our investigations revealed that 19 miRNAs out of 33 were putatively able to modulate, in the plant cells, the expression of various chromosome scaffold proteins. In parallel, we found, in the human transcriptome, a total of 383 mRNAs involved in 5 fundamental mammalian cellular processes (i.e., apoptosis, senescence, cell-cycle, oxidative stress, and invasiveness) that theoretically could be bound and regulated by M. sylvestris miRNAs. The evidence collected in this work would suggest that the beneficial properties of the use of M. sylvestris, documented by the folk medicine, are probably linked to their content of miRNAs and not only to the action of phytochemicals (e.g., anthocyanins). This would open new perspectives about the possibility to develop gene therapies based on miRNAs isolated from medicinal plants, including M. sylvestris
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