In memory of Paolo Costantino (1955–2020)

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Caecogobius cryptophthalmus n. gen. n. sp. (Gobiidae Gobiinae), the first stygobic fish from Philippines

The gobiine fish Caecogobius cryptophthalmus n. gen. n. sp., from a cave system on Samar Island, is described and its affinities with other gobiine genera discussed. The new species shows a high degree of adaptation to the hypogean habitat and is both the first blind hypogean fish known for the Philippine Archipelago and the only known blind cave gobiine. The variability of some morphological features related to the process of regressive evolution is described, and one of its possible causes is briefly explored

Reply to Comment on "Analysis of Ringdown Overtones in GW150914"

In this Reply we include the corrections suggested in the Comment [Phys. Rev. Lett. 131, 169001]. We show that their impact on our results is small, and that the overall conclusion of the Article [Phys. Rev. Lett. 129, 111102] are robust. As pointed out in the Article, it is crucial to account for the statistical uncertainty in the ringdown starting time, neglected in most previous studies. This uncertainty is ~40 times larger than the systematic shift induced by the software bug mentioned in the Comment. The remaining discrepancies between the Comment and the Article can be attributed to additional differences in the setup, notably the sampling rate and the noise estimation method (in the Article the latter was chosen to mimic the original methods of [Phys. Rev. Lett. 123, 111102]). Beyond data analysis considerations, the physics of the problem cannot be ignored. As shown in [arXiv:2302.03050], a model consisting of a sum of constant-amplitude overtones starting at the peak of the waveform introduces uncontrolled systematic uncertainties in the measurement due to dynamical and strong-field effects. These theoretical considerations imply that studies based on such models cannot be interpreted as black hole spectroscopy tests.Comment: 3 pages, 1 figure. Unabridged version of the shorter (due to format constraints) Reply published in Phys. Rev. Let

Black-hole mergers in disk-like environments could explain the observed q−χeffq - \chi_\mathrm{eff} correlation

Current gravitational-wave data from stellar-mass black-hole binary mergers suggest a correlation between the binary mass ratio $q$ and the effective spin $\chi_\mathrm{eff}$: more unequal-mass binaries consistently show larger and positive values of the effective spin. Multiple generations of black-hole mergers in dense astrophysical environments may provide a way to form unequal-mass systems, but they cannot explain the observed correlation on their own. We show that the symmetry of the astrophysical environment is a crucial feature to shed light on this otherwise puzzling piece of observational evidence. We present a toy model that reproduces, at least qualitatively, the observed correlation. The model relies on axisymmetric, disk-like environments where binaries participating in hierarchical mergers share a preferential direction. Migration traps in AGN disks are a prime candidate for this setup, hinting at the exciting possibility of constraining their occurrence with gravitational-wave data.Comment: 9 pages, 4 figure

Extracting linear and nonlinear quasinormal modes from black hole merger simulations

In general relativity, when two black holes merge they produce a rotating (Kerr) black hole remnant. According to perturbation theory, the remnant emits "ringdown" radiation: a superposition of exponentials with characteristic complex frequencies that depend only on the remnant's mass and spin. While the goal of the black hole spectroscopy program is to measure the quasinormal mode frequencies, a knowledge of their amplitudes and phases is equally important to determine which modes are detectable, and possibly to perform additional consistency checks. Unlike the complex frequencies, the amplitudes and phases depend on the properties of the binary progenitors, such as the binary mass ratio and component spins. In this paper we develop a fitting algorithm designed to reliably identify the modes present in numerical simulations and to extract their amplitudes and phases. We apply the algorithm to over 500 binary black hole simulations from the public SXS numerical relativity simulation catalog, and we present fitting formulas for the resulting mode amplitudes and phases as functions of the properties of the progenitors. Crucially, our algorithm allows for the extraction of not only prograde fundamental modes and overtones, but also retrograde modes and second-order modes. We unveil interesting relations for the amplitude ratios of different modes. The fitting code and interactive versions of some of the plots are publicly available. The results presented in this paper can be updated as more and better simulations become available.Comment: 37 pages, 22 figures, 2 tables. Interactive plots and code usage examples available at https://mhycheung.github.io/jaxqualin

Nickel-Titanium peripheral stents: can fracture mechanics shed light on their fatigue failure?

The major concern about Nickel-Titanium (Ni-Ti) stents, which are the gold standard in the treatment of occlusive peripheral disease, is fatigue and the consequent fracture in vivo. Indeed, their failure might be responsible for severe drawbacks, among which is the re-occlusion of the treated artery. Although many phenomenological approaches have been proposed to study this topic, the current literature lacks extensive knowledge on the Ni-Ti local damage mechanisms produced by the cyclic loads that promote crack nucleation and lead to the failure of thin struts, such as those of stents. Moreover, due to the super-elastic property of the alloy, the standard approach for interpreting the fracture of metals might be not accurate for this case. This work aims at increasing awareness of fatigue failure in superelastic Ni-Ti thin struts, such as those of stents. To do so, multi-wire specimens, sharing the same dimensions and thermo-mechanical treatment of the stent struts, were fatigue tested under different strain levels and the number of cycles to failure was recorded for each sample. Numerical simulations corroborated the experimental results to gain information on the local stress and strain fields during the fatigue cycles. A fracture mechanics-based fatigue model adopting the cyclic J-integral was here proposed, giving promising results for the interpretation of such failures

Transcranial Direct Current Stimulation in the Treatment of Chronic Knee Pain: A Scoping Review

Background: Chronic knee pain in older adults is a prevalent condition that significantly impacts quality of life. Transcranial Direct Current Stimulation (tDCS) has emerged as a potential non-invasive treatment option. This scoping review aims to evaluate the efficacy of tDCS in treating chronic knee pain among older adults. Methods: A comprehensive search of peer-reviewed articles was conducted, focusing on randomized controlled trials and pilot studies. Studies were included if they met specific Population, Concept, and Context (PCC) criteria. The primary outcomes assessed were pain reduction and functional improvement. Results: Eleven studies met the inclusion criteria, with a total of 779 participants. However, the results varied across studies, with some showing minimal differences between active tDCS and sham treatments. Advanced neuroimaging techniques, such as functional near-infrared spectroscopy (fNIRS), provided insights into the neuromodulatory effects of tDCS, revealing changes in brain activity related to pain perception. Conclusions: Transcranial Direct Current Stimulation (tDCS) presents a promising avenue for treating chronic knee pain in elderly individuals. However, the current body of research offers mixed results, emphasizing the need for more extensive and standardized studies. Future research should focus on understanding the underlying mechanisms, optimizing treatment protocols, and exploring the long-term effects and safety of tDCS

On the interaction and nanoplasmonics of gold nanoparticles and lipoproteins

The extracellular space is nanostructured, populated by heterogeneous classes of nanoparticles, e.g., extracellular vesicles and lipoproteins, which “made by cells for cells'' mediate intercellular, inter-organ, cross-species, and cross-kingdom communication. However, while techniques to study ENP biology in-vitro and in-vivo are becoming available, knowledge of their colloidal and interfacial properties is poor, although much needed. This paper experimentally shows, for the first time, that the aggregation of citrate-capped gold nanoparticles (AuNPs) triggered by lipid vesicle membranes and the related characteristic redshift of the plasmonic signature also applies/extends to lipoproteins. Such interaction leads to the formation of AuNP-lipoprotein hybrid nanostructures and is sensitive to lipoprotein classes and AuNP/lipoprotein molar ratio, paving the way to further synthetic and analytical developments