1,721,597 research outputs found
Cavatina [from] Beatrice di Tenda, no. 22 /
No full textComposer handwritten on cover - "Bellini, V."In bound volumes: Copyright Deposits 1820-186
Between human and AI: assessing the reliability of AI text detection tools
No full textObjective: Large language models (LLMs) such as ChatGPT-4 have raised critical questions regarding their distinguishability from human-generated content. In this research, we evaluated the effectiveness of online detection tools in identifying ChatGPT-4 vs human-written text. Methods: A two texts produced by ChatGPT-4 using differing prompts and one text created by a human author were analytically assessed using the following online detection tools: GPTZero, ZeroGPT, Writer ACD, and Originality. Results: The findings revealed a notable variance in the detection capabilities of the employed detection tools. GPTZero and ZeroGPT exhibited inconsistent assessments regarding the AI-origin of the texts. Writer ACD predominantly identified texts as human-written, whereas Originality consistently recognized the AI-generated content in both samples from ChatGPT-4. This highlights Originality’s enhanced sensitivity to patterns characteristic of AI-generated text. Conclusion: The study demonstrates that while automatic detection tools may discern texts generated by ChatGPT-4 significant variability exists in their accuracy. Undoubtedly, there is an urgent need for advanced detection tools to ensure the authenticity and integrity of content, especially in scientific and academic research. However, our findings underscore an urgent need for more refined detection methodologies to prevent the misdetection of human-written content as AI-generated and vice versa
On-site correlation in valence and core states of ferromagnetic nickel
No full textWe present a method which allows us to include narrow-band correlation effects in the description of both valence and core states and we apply it to the prototypical case of nickel. The results of an ab initio band calculation are used as input mean-field eigenstates for the calculation of self-energy corrections and spectral functions according to a three-body scattering solution of a multiorbital Hubbard Hamiltonian. The calculated quasiparticle spectra show a remarkable agreement with photoemission data in terms of bandwidth, exchange splitting, satellite energy position of valence states, and spin polarization of both the main line and the satellite of the 3p core level
Correlation effects on the electronic properties of Bi2Sr2CaCu2O8
No full textWe have studied the role of on-site electronic correlation on the band structure of Bi2Sr2CaCu2O8. In our approach, an ab initio calculation supplies for the single particle starting point, on top of which self-energy effects are explicitly taken into account in the framework of the three-body scattering theory (3BS). We observe that correlation modifies the energy dispersion of hole quasiparticle states near the Fermi level, especially close to the X and (M) over bar symmetry points, but does not induce sensible changes at the Fermi level. To sustain this picture, we report calculations of effective masses
Magnetic 3d adatoms on free-standing and Ni(111)-supported graphene
Full text linkWe present an extensive density functional theory analysis of the structural, electronic, and magnetic properties of isolated 3d transition metal adatoms (from Ti to Co) adsorbed on free-standing and Ni(111)-supported graphene. We discuss how the energetics of different adsorption sites is influenced by the filling of d-orbital filling across the 3d series and identify a direct correlation between the adatom-graphene distance and the degree of charge transfer. The presence of the Ni substrate is found to have stronger impact on the adatoms at the end of the series, leading to modifications of the preferred adsorption site, charge transfer, and spin properties. The magnetic exchange coupling between the spin of the adatom and the Ni magnetization changes as a function of the adatom both in sign (preferred antiferromagnetic exchange for Ti, V, and Cr, and ferromagnetic alignment for the other elements) and in magnitude (from 90 meV for Mn to ≈10 meV for Fe an Co)
ARPES band maps of ferromagnetic iron: Theoretical simulation including e-e correlation
No full textMany-body effects influence the energy-versus-momentum relation that is measured in angle resolvedphotoemission experiments and the quasiparticle band structure may be significantly differentfrom what is deduced within the independent particle model. Stimulated by recent high resolutionphotoemission data for iron showing quasiparticle renormalization close to the Fermi energy [1] wehave performed a systematic study 3d transition metals including on-site e-e correlation within the3Bs approach [2]; this amounts to solve a multi-orbital Hubbard Hamiltonian through an expansionof the interacting state in terms of configurations with one electron-hole pair added to the non interactingground state. The systematic analysis of metals of the 3d transition series allow us to showthat band occupation is a key parameter to quantify the effectiveness of many-body interactions. Wefind that e-e correlations are responsible for spin-dependent energy renormalization; in iron it turnsout that empty minority spin states are most affected while the same is true for filled majority spinones. A detailed analysis of energy dispersion curves after the inclusion of many body correctionand a comparison with measured spectra is also shown
Artificial intelligence in extended perioperative medicine
No full textArtificial intelligence is revolutionizing the field of perioperative medicine. However, artificial intelligence is just one of the new technologies that are offering us new tools to improve our clinical practice. Our focus is on the use of new technologies integrated with artificial intelligence in the context of extended perioperative medicine with the aim of expanding the boundaries of perioperative medicine from the hospital to the patients’ home with preoperative prehabilitation, risk stratification, and postoperative follow-up to improve the quality of care and safety
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