bluuebunny/crossref_metadata_2025_split huggingface dataset:
From regular black holes to horizonless objects: quasi-normal modes, instabilities and spectroscopy
Authors: Franzin Edgardo , Liberati Stefano , Vellucci Vania 
Published: January 2024

Abstract
We study gravitational and test-field perturbations for the two possible families of spherically symmetric black-hole mimickers that smoothly interpolate between regular black holes and horizonless compact objects accordingly to the value of a regularization parameter.
One family can be described by the Bardeen-like metrics, and the other by the Simpson-Visser metric.
We compute the spectrum of quasi-normal modes (QNMs) of these spacetimes enlightening a common misunderstanding regarding this computation present in the recent literature.
In both families, we observe long-living modes for values of the regularization parameter corresponding to ultracompact, horizonless configurations. Such modes appear to be associated with the presence of a stable photon sphere and are indicative of potential non-linear instabilities.
In general, the QNM spectra of both families display deviations from the standard spectrum of GR singular BHs.
In order to address the future detectability of such deviations in the gravitational-wave ringdown signal, we perform a preliminary study, finding that third generation ground-based detectors might be sensible to macroscopic values of the regularization parameter.
How effective is N
eff at discovering dark radiation in a cosmology with heavy particle decay?
Authors: Bleau Katarina , Bramante Joseph , Cappiello Christopher 
Published: January 2024

Abstract
Any light relic which was in thermal equilibrium with the Standard Model before it freezes out results in a shift in the effective number of neutrino species, N
eff. This quantity is being measured with increasing precision, and planned experiments would seemingly rule out light particles beyond the Standard Model, even for rather high temperature light particle freeze out. Here we explore how these bounds are loosened if the energy density of the light particles is diluted with respect to that of Standard Model radiation. This can happen if a heavy particle that is decoupled from the Standard Model decays into the Standard Model bath after the light particle freezes out. After calculating how heavy state decays alter N
eff for light particles beyond the Standard Model, we focus in particular on the case that the heavy decaying particle is a gravitino, and use current bounds on N
eff to place constraints on the gravitino mass and the branching ratio into light particles for different values of the reheating temperature of the Universe.
Fish robotics: multi-fin propulsion and the coupling of fin phase, spacing, and compliance
Authors: Mignano Anthony P , Kadapa Shraman , Drago Anthony C , Lauder George V , Kwatny Harry G , Tangorra James L 
Published: January 2024

Abstract
Fish coordinate the motion of their fins and body to create the time-varying forces required for swimming and agile maneuvers. To effectively adapt this biological strategy for underwater robots, it is necessary to understand how the location and coordination of interacting fish-like fins affect the production of propulsive forces. In this study, the impact that phase difference, horizontal and vertical spacing, and compliance of paired fins had on net thrust and lateral forces was investigated using two fish-like robotic swimmers and a series of computational fluid dynamic simulations. The results demonstrated that the propulsive forces created by pairs of fins that interact through wake flows are highly dependent on the fins’ spacing and compliance. Changes to fin separation of less than one fin length had a dramatic effect on forces, and on the phase difference at which desired forces would occur. These findings have clear implications when designing multi-finned swimming robots. Well-designed, interacting fins can potentially produce several times more propulsive force than a poorly tuned robot with seemingly small differences in the kinematic, geometric, and mechanical properties.
Influence of posture during gliding flight in the flying lizard Draco volans
Authors: Buffa Valentin , Salaün William , Cinnella Paola 
Published: January 2024

Abstract
The agamid lizards of the genus Draco are undoubtedly the most renown reptilian gliders, using their rib-supported patagial wings as lifting surfaces while airborne. Recent investigations into these reptiles highlighted the role of body posture during gliding, however, the aerodynamics of postural changes in Draco remain unclear. Here, we examine the aerodynamics and gliding performances of Draco volans using a numerical approach focusing on three postural changes: wing expansion, body camber, and limb positioning. To this aim, we conducted 70 three-dimensional steady-state computational fluid dynamics simulations of gliding flight and 240 two-dimensional glide trajectory calculations. Our results demonstrate that while airborne, D. volans generates a separated turbulent boundary layer over its wings characterized by a large recirculation cell that is kept attached to the wing surface by interaction with wing–tip vortices, increasing lift generation. This lift generating mechanism may be controlled by changing wing expansion and shape to modulate the generation of aerodynamic force. Furthermore, our trajectory simulations highlight the influence of body camber and orientation on glide range. This sheds light on how D. volans controls its gliding performance, and conforms to the observation that these animals plan their glide paths prior to take off. Lastly, D. volans is mostly neutral in pitch and highly maneuverable, similar to other vertebrate gliders. The numerical study presented here thus provides a better understanding of the lift generating mechanism and the influence of postural changes in flight in this emblematic animal and will facilitate the study of gliding flight in analogous gliding reptiles for which direct observations are unavailable.
In vitro analysis of insoluble salt formation mechanism associated with Mg corrosion—variations depending on the diffusion environment in model tissue
Authors: Hayashi Masanobu , Yamamoto Akiko , Aizawa Takayuki , Yusa Yu , Shimizu Yoshinaka , Imai Yoshimichi 
Published: January 2024

Abstract
Magnesium (Mg) alloys have attracted attention as biodegradable metals, but the details of their corrosion behavior under biological environment have not been elucidated. Previous studies have suggested that diffusion through blood flow may influence Mg corrosion. Therefore, to understand the degradation behaviors of Mg, we analyzed insoluble salt precipitation associated with Mg corrosion in model tissue with different diffusion rates. A pure Mg specimen was immersed into a model tissue prepared with cell culture medium supplemented by a thickener at a different concentration (0.2%–0.5%) to form the gel. Micro-focus x-ray computed tomography of the gel was performed to observe gas cavity formation around the specimen. The insoluble salt layer formed on the specimen surface were analyzed by scanning electron microscopy with energy-dispersive x-ray spectroscopy, and Raman spectroscopy. As results, gas cavity formation was observed for all specimens. At day 7, the gas cavity volume was the highest at 0.5% thickener gel followed by 0.3% thickener gel. The insoluble salts were classified into three types based on their morphology; plate-like, granular-like, and crater-like salts. The crater-like salts were observed to cover 16.8 ± 3.9% of the specimen surface immersed in the 0.5% thickener gel, at the specimen area contacted to the gas cavity. The crater-like salts were composed by Mg hydroxide and carbonate from the deepest to the top layer. In plate-like or granular-like salts, Mg carbonate was formed in the deepest layer, but phosphates and carbonates, mainly containing calcium not Mg, were formed on the surface layer. In conclusion, the increase in the thickener concentration increased the gas cavity volume contacting to the specimen surface, resulting in the increase in precipitation of Mg hydroxide and carbonate, composing crater-like salts. Mg hydroxide and carbonate precipitation suggests the local increase in OH− concentration, which may be attributed to the decrease in diffusion rate.
Regional patterns and trends of compound hot extremes in mainland China: a new objective approach
Authors: Li Yiping , Wu Zhiwei 
Published: January 2024

Abstract
Compound hot extremes (CHEs) are receiving increasing attention due to their significant impacts on human health, ecosystems, and society compared to individual hot days or nights. While previous studies have focused on the characteristics of CHEs at individual points or stations, assessments of features for regional CHEs (RCHEs), which have a specific impact area and duration, are still lacking. This study aimed to investigate the climatic characteristics of RCHEs in mainland China by applying an objective identification technique for regional extreme events based on a compound index. The results show that 379 RCHEs were identified during 1961–2020, most of the events had a duration of 5–11 d and a maximum impacted area of approximately 460 104 km2. Long-duration RCHEs were found to have vigorous extreme intensity and large maximum impacted area. The middle and lower reaches of the Yangtze River were most susceptible to RCHEs, while the Yellow River Valley had the most robust positive trend of frequency for RCHEs, suggesting a significant risk of compound temperature disasters in this region. Furthermore, RCHEs in mainland China showed significant increasing trends in several aspects, such as annual frequency, integrated index, and single indices (e.g. duration, accumulated intensity, accumulated impacted area, and extreme intensity). These upward trends were accompanied by evident interdecadal variations, with low values before 1992 and high values after 1992. This study provides valuable insights into understanding and monitoring CHEs in China from the perspective of regional extremes.
Fault resilience in network of energy harvesters
Authors: Pranesh Samana , Gupta Sayan 
Published: January 2024

Abstract
Energy harvesters (EH) that scavenge energy from ambient environment are gaining popularity and are used for powering low demand devices on account of their low power outputs. Enhancement of the power is achieved through an array or network of identical EH. The focus of this study is on investigating how the network topology affects the harvesting efficiency per EH, using complex network theory. The studies are presented with respect to vibration induced EH, specifically, the commonly used network of coupled pendulums oscillating in a magnetic field, with the pendulum supports being subjected to vibrations. Questions on the EH efficiency are investigated with respect to the number of EH in the network, its topology and the effects of faults which lead to loss of regularity. Additionally, the effects of parametric random variabilities in the individual EH are investigated with respect to the harvesting efficiency. This study shows that EH efficiency is best for regular networks, can be enhanced by increasing connectivity but up to a limit and is resilient against few local faults. The performance drops with larger number of faults or due to parametric uncertainties. The findings of this study are expected to be of use in design and maintenance of EH networks.
Non-beverage alcohol consumption in Russia: new evidence from Jewish Autonomous Oblast
Authors: Korotayev Andrey , Ustyuzhanin Vadim , Ivanov Yevgeniy , Issaev Leonid 
Published: January 2024

Abstract

Introduction
Previous studies in Izhevsk, Novosibirsk, and Kazan have found that non-beverage alcohol is a large part of alcohol consumption in Russia. Whereas those places are relatively high-income cities, there are no studies about such a problem in low-income regions of Russia. The aim of this study is to investigate correlates and factors associated with non-beverage alcohol consumption in eastern regions of Russia, e.g. the Jewish Autonomous Oblast and to assess effectiveness of implementing Russian policies to restrict consumption of non-beverage alcohol.

Materials and methods
A survey of adults in the Jewish Autonomous Oblast of Russia was performed on workdays to assess non-beverage drinking patterns in summer 2022. The questionnaire included questions about socio-demographic status and alcohol use, including non-beverage alcohol consumption and drinking patterns. We use logistic regression to identify risk factors of consuming non-beverages.

Results
First, ~30% of individuals suffering from alcohol problems drink non-beverage alcohol. Second, those who regularly consume non-beverage alcohol compared with those who chronically drink legal strong alcohol are on average more likely to experience the negative effects of alcohol consumption. Third, income and marriage are the main factors negatively associated with surrogate alcohol consumption. Besides, age shows a curvilinear relationship with that.

Conclusions
We suggest that a modified anti-surrogate policy to increase the minimum price of pharmacy alcohol and to enforce restrictions on the sale of non-beverage alcohol is needed in Russia. Such measures could prevent an increase in non-beverage alcohol consumption in Russia against the backdrop of declining real incomes of the population.
From Evidence-Based Guidelines to Clinical Practice: Pediatric Neuropsychology Care in Multidisciplinary Clinics
Authors: Turner Elise M , Wilkening Greta , Hutaff-Lee Christa , Wolfe Kelly R 
Published: January 2024

Abstract

Objective
High demand for pediatric neuropsychological care has highlighted the time- and resource-intensive nature of traditional comprehensive evaluations. Emerging care models address these constraints by facilitating tiered neuropsychological services provided in various contexts, including multidisciplinary clinics (MDCs). We aim to demonstrate feasibility and acceptability of tiered neuropsychological care in MDCs through examples from a single institution.

Methods
A review of all current MDC practices at a tertiary pediatric care center was conducted to describe clinic workflow, services provided, and triage strategies. Pediatric neuropsychologists (n = 5) and other health care providers (n = 31) completed a survey focused on experience with neuropsychology consultation in MDCs.

Results
Neuropsychologists provided care in 11 MDCs, including universal monitoring with consultative interviews and questionnaires, as well as targeted screening. Neuropsychologists (89%) and other health professionals (100%) reported that tiered neuropsychological services improved patient care within MDCs. Other health professionals reported utilizing results from neuropsychology MDC care to inform their clinical approach (48–90%), referrals (58%), and treatment or surveillance decisions (55–71%).

Conclusion
Tiered neuropsychological care in pediatric MDCs is feasible, and provider experience ratings indicate high acceptability. Practical steps for development of MDCs are provided, including identifying teams, clinic goals and outcomes, operational logistics, and billing.
MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification
Authors: Xu Huang , Wang Tian , Miao Yuqi , Qian Min , Yang Yaning , Wang Shuang 
Published: January 2024

AbstractMotivationResearch on human microbiome has suggested associations with human health, opening opportunities to predict health outcomes using microbiome. Studies have also suggested that diverse forms of taxa such as rare taxa that are evolutionally related and abundant taxa that are evolutionally unrelated could be associated with or predictive of a health outcome. Although prediction models were developed for microbiome data, no prediction models currently exist that use multiple forms of microbiome–outcome associations.ResultsWe developed MK-BMC, a Multi-Kernel framework with Boosted distance Metrics for Classification using microbiome data. We propose to first boost widely used distance metrics for microbiome data using taxon-level association signal strengths to up-weight taxa that are potentially associated with an outcome of interest. We then propose a multi-kernel prediction model with one kernel capturing one form of association between taxa and the outcome, where a kernel measures similarities of microbiome compositions between pairs of samples being transformed from a proposed boosted distance metric. We demonstrated superior prediction performance of (i) boosted distance metrics for microbiome data over original ones and (ii) MK-BMC over competing methods through extensive simulations. We applied MK-BMC to predict thyroid, obesity, and inflammatory bowel disease status using gut microbiome data from the American Gut Project and observed much-improved prediction performance over that of competing methods. The learned kernel weights help us understand contributions of individual microbiome signal forms nicely.Availability and implementationSource code together with a sample input dataset is available at https://github.com/HXu06/MK-BMC
Mapping Social Work’s Response to the ‘Grand Challenge’ of Loneliness: A Systematic Scoping Review of the Literature
Authors: Courts Rachael , Brophy Lisa , Bleue Maïa , Jacques Megan , Badcock Johanna C 
Published: January 2024

Abstract
Loneliness is recognised as a ‘grand challenge’ for social work, given its negative impact on health and well-being. But there has been limited progress on how social workers should respond. We aimed to characterise social work research on loneliness from 2016 to 2021, to inform policy, practice and training. We utilised the Joanna Briggs Institute methodology for scoping reviews with a narrative synthesis of results. Data were extracted on study characteristics, assessment and intervention strategies, the role of social workers in this literature and limitations in the research. The final review consisted of 366 studies. Results showed a steady growth in research outputs on loneliness over time, predominantly (40 per cent) aimed at improving social work practice. Qualitative research methods (45 per cent) and cross-sectional study designs (61 per cent) were most common. Fewer than one-third of studies (32 per cent) used a formal assessment tool to identify loneliness. The most common intervention strategies examined were enhancing social relationships (30 per cent) and person-centred solutions (21 per cent). A slight majority (57 per cent) of peer-reviewed journal articles had a social work lead author. The review indicates social workers are engaged in research and action on loneliness, but ensuring this expertise is visible, led by social workers and accessible, remains a challenge.
Neuroplasticity of the left dorsolateral prefrontal cortex in patients with treatment-resistant depression as indexed with paired associative stimulation: a TMS–EEG study
Authors: Kaneko Naotsugu , Wada Masataka , Nakajima Shinichiro , Takano Mayuko , Taniguchi Keita , Honda Shiori , Mimura Masaru , Noda Yoshihiro 
Published: January 2024

Abstract
Major depressive disorder affects over 300 million people globally, with approximately 30% experiencing treatment-resistant depression (TRD). Given that impaired neuroplasticity underlies depression, the present study focused on neuroplasticity in the dorsolateral prefrontal cortex (DLPFC). Here, we aimed to investigate the differences in neuroplasticity between 60 individuals with TRD and 30 age- and sex-matched healthy controls (HCs). To induce neuroplasticity, participants underwent a paired associative stimulation (PAS) paradigm involving peripheral median nerve stimulation and transcranial magnetic stimulation (TMS) targeting the left DLPFC. Neuroplasticity was assessed by using measurements combining TMS with EEG before and after PAS. Both groups exhibited significant increases in the early component of TMS-evoked potentials (TEP) after PAS (P &lt; 0.05, paired t-tests with the bootstrapping method). However, the HC group demonstrated a greater increase in TEPs than the TRD group (P = 0.045, paired t-tests). Additionally, event-related spectral perturbation analysis highlighted that the gamma power significantly increased after PAS in the HC group, whereas it was decreased in the TRD group (P &lt; 0.05, paired t-tests with the bootstrapping method). This gamma power modulation revealed a significant group difference (P = 0.006, paired t-tests), indicating an inverse relationship for gamma power modulation. Our findings underscore the impaired neuroplasticity of the DLPFC in individuals with TRD.
Divergent thinking benefits from functional antagonism of the left IFG and right TPJ: a transcranial direct current stimulation study
Authors: Huang Furong , Fu Xiaqing , Song Jiajun , Ren Jingyuan , Li Fuhong , Zhao Qingbai 
Published: January 2024

Abstract
Divergent thinking is assumed to benefit from releasing the constraint of existing knowledge (i.e. top–down control) and enriching free association (i.e. bottom–up processing). However, whether functional antagonism between top–down control–related and bottom–up processing–related brain structures is conducive to generating original ideas is largely unknown. This study was designed to investigate the effect of functional antagonism between the left inferior frontal gyrus and the right temporoparietal junction on divergent thinking performance. A within-subjects design was adopted for three experiments. A total of 114 participants performed divergent thinking tasks after receiving transcranial direct current stimulation over target regions. In particular, cathodal stimulation over the left inferior frontal gyrus and anodal stimulation over the right inferior frontal gyrus (Experiment 1), anodal stimulation over the right temporoparietal junction (Experiment 2), and both cathodal stimulation over the left inferior frontal gyrus and anodal stimulation over the right temporoparietal junction (Experiment 3) were manipulated. Compared with sham stimulation, the combination of hyperpolarization of the left inferior frontal gyrus and depolarization of the right temporoparietal junction comprehensively promoted the fluency, flexibility, and originality of divergent thinking without decreasing the rationality of generated ideas. Functional antagonism between the left inferior frontal gyrus (hyperpolarization) and right temporoparietal junction (depolarization) has a “1 + 1 &gt; 2” superposition effect on divergent thinking.