bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat exposure following encoding can interfere with subsequent recognition memory
Authors: Cudeiro Jesús , Soto David , Gutiérrez Emilio 
Published: July 2023

AbstractCorrelational studies suggest that high temperatures may impair online cognitive performance and learning processes. Here, we tested the hypothesis that heat exposure blocks offline memory consolidation. We report two studies, including a pre-registered replication. First, during a study phase, participants were familiarized with neutral and negatively valenced images. One day later, half of the participants were exposed to high temperatures in a sauna session at 50 °C. Recognition memory was tested 24 h later. We found that participants exposed to high temperature showed an impairment in recognition memory performance, relative to a control group of participants that were not exposed to heat or that had a sauna at 28 °C. This occurred for both emotional and neutral items. These results indicate that heat exposure impairs memory consolidation, thereby opening the possibility of using heat exposure as an agent for the treatment of clinical mental disorders.
Starvation decreases immunity and immune regulatory factor NF-κB in the starlet sea anemone Nematostella vectensis
Authors: Carrión Pablo J. Aguirre , Desai Niharika , Brennan Joseph J. , Fifer James E. , Siggers Trevor , Davies Sarah W. , Gilmore Thomas D. 
Published: July 2023

AbstractLack of proper nutrition has important consequences for the physiology of all organisms, and nutritional status can affect immunity, based on many studies in terrestrial animals. Here we show a positive correlation between nutrition and immunity in the sea anemone Nematostella vectensis. Gene expression profiling of adult anemones shows downregulation of genes involved in nutrient metabolism, cellular respiration, and immunity in starved animals. Starved adult anemones also have reduced protein levels and activity of immunity transcription factor NF-κB. Starved juvenile anemones have increased sensitivity to bacterial infection and also have lower NF-κB protein levels, as compared to fed controls. Weighted Gene Correlation Network Analysis (WGCNA) is used to identify significantly correlated gene networks that were downregulated with starvation. These experiments demonstrate a correlation between nutrition and immunity in an early diverged marine metazoan, and the results have implications for the survival of marine organisms as they encounter changing environments.
Shortcuts to adiabaticity in superconducting circuits for fast multi-partite state generation
Authors: Cárdenas-López Francisco Andrés , Retamal Juan Carlos , Chen Xi 
Published: July 2023

AbstractShortcuts to adiabaticity provide a flexible method to accelerate and improve a quantum control task beyond adiabatic criteria. However, their application to the fast generation of multi-partite quantum gates is still not optimized. Here we propose the reverse-engineering approach to design the longitudinal coupling between a set of qubits coupled to several field modes, for achieving a fast generation of multi-partite quantum gates in photonic or qubit-based architecture. We show that the enhancing generation time is at the nanosecond scale that does not scale with the number of system components. In addition, our protocol does not suffer noticeable detrimental effects due to the dissipative dynamics. Finally, the possible implementation is discussed with the state-of-the-art circuit quantum electrodynamics architecture.
Evaluating cpn60 for high-resolution profiling of the mammalian skin microbiome and detection of phylosymbiosis
Authors: Umbach Alexander K , Fernando Champika , Hill Janet E , Neufeld Josh D 
Published: July 2023

Abstract
Despite being the most widely used phylogenetic marker for amplicon-based profiling of microbial communities, limited phylogenetic resolution of the 16S rRNA gene limits its use for studies of host-microbe co-evolution. In contrast, the cpn60 gene is a universal phylogenetic marker with greater sequence variation capable of species-level resolution. This research compared mammalian skin microbial profiles generated from cpn60 and 16S rRNA gene sequencing approaches, testing for patterns of phylosymbiosis that suggest co-evolutionary host-microbe associations. An ~560 bp fragment of the cpn60 gene was amplified with universal primers and subjected to high-throughput sequencing. Taxonomic classification of cpn60 sequences was completed using a naïve-Bayesian QIIME2 classifier created for this project, trained with an NCBI-supplemented curated cpn60 database (cpnDB_nr). The cpn60 dataset was then compared to published 16S rRNA gene amplicon data. Beta diversity comparisons of microbial community profiles generated with cpn60 and 16S rRNA gene amplicons were not significantly different, based on Procrustes analysis of Bray-Curtis and UniFrac distances. Despite similar relationships among skin microbial profiles, improved phylogenetic resolution provided by the cpn60 gene sequencing permitted observations of phylosymbiosis between microbial community profiles and their mammalian hosts that were not previously observed with 16S rRNA gene profiles. Subsequent investigation of Staphylococcaceae taxa using the cpn60 gene showed increased phylogenetic resolution compared the 16S rRNA gene profiles, revealing potential co-evolutionary host-microbe associations. Overall, our results demonstrate that 16S rRNA and cpn60 marker genes generate comparable microbial community composition patterns while cpn60 better facilitates analyses, such as phylosymbiosis, that require increased phylogenetic resolution.
Long-Term Effects of Early Communication Interventions: A Systematic Review and Meta-Analysis
Authors: Pak Natalie S. , Chow Jason C. , Dillehay Kelsey M. , Kaiser Ann P. 
Published: July 2023

Purpose:
Early language and communication interventions for children with language impairments have been shown to be effective in assessments administered immediately after treatment. The purpose of the current systematic review and meta-analysis was to assess the overall durability of those effects over time and whether durability was related to outcome type, etiology of child language impairments, implementer of intervention, magnitude of posttest effects, time between intervention and follow-up, and study risk of bias.

Method:
We conducted a systematic search of online databases and reference lists to identify experimental and quasi-experimental group design studies. All studies tested the effects of early communication interventions at least 3 months post-intervention. Participants were children 0–5 years old with language impairments. Coders identified study features and rated methodological quality indicators for all studies. Effect sizes at long-term timepoints and associations with potential moderators were estimated using multilevel meta-analysis with robust variance estimation.

Results:

Twenty studies with 129 long-term outcome effect sizes met inclusion criteria. Studies included children with developmental language disorders or language impairment associated with autism. The overall average effect size was small and significant (
g
= .22,
p
= .002). Effect size estimates were larger for prelinguistic outcomes (
g
= .36,
p
< .001) than for linguistic outcomes (
g
= .14,
p
= .101). Significant factors were the posttest effect sizes, the risk of bias for randomized trials, and etiology of language impairment for linguistic outcomes. Time post-intervention did not significantly predict long-term effect sizes.

Conclusions:
Outcomes of early language and communication interventions appear to persist for at least several months post-intervention. More research is needed with collection and evaluation of long-term outcomes, a focus on measurement, and consistency of primary study reporting.

Supplemental Material:

https://doi.org/10.23641/asha.23589648
Asymmetries in random motions of neutral hydrogen gas in spiral galaxies
Authors: Adamczyk P. , Amram P. , Chemin L. , Epinat B. , Braine J. , Combes F. , de Blok W. J. G. 
Published: July 2023

Context. The velocity dispersion ellipsoid of gas in galactic discs is usually assumed to be isotropic. Under this approximation, no projection effect occurs in the random motions of gas, as traced by the line-of-sight velocity dispersion. However, it has been recently shown that random motions of the neutral hydrogen gas of the Triangulum galaxy (M 33) exhibit a bisymmetric perturbation which is aligned with the minor axis of the galaxy, suggesting a projection effect.
Aims. To investigate if perturbations in the velocity dispersion of nearby discs are comparable to those of M 33, the sample is extended to 32 galaxies from The H I Nearby Galaxy Survey (THINGS) and the Westerbork H I Survey of Spiral and Irregular Galaxies (WHISP).
Methods. We studied velocity asymmetries in the disc planes by performing Fourier transforms of high-resolution H I velocity dispersion maps corrected for beam-smearing effects, and we measured the amplitudes and phase angles of the Fourier harmonics.
Results. In all velocity dispersion maps, we find strong perturbations of first, second, and fourth orders. The strongest asymmetry is the bisymmetry, which is predominantly associated with the presence of spiral arms. The first order asymmetry is generally orientated close to the disc major axis, and the second and fourth order asymmetries are preferentially orientated along intermediate directions between the major and minor axes of the discs. These results are evidence that strong projection effects shape the H I velocity dispersion maps. The most likely source of systematic orientations is the anisotropy of velocities, through the projection of streaming motions that are stronger along one of the planar directions in the discs. Moreover, systematic phase angles of asymmetries in the H I velocity dispersion could arise from tilted velocity ellipsoids, that is when the velocities are correlated. We expect a larger incidence of correlation between the radial and tangential velocities of H I gas with |ρRθ|∼0.6, which could be tested against the kinematics of the youngest stellar populations of the Milky Way.
Conclusions. H I velocity dispersions cannot be considered devoid of projection effects. The systematic orientations of asymmetries can be explained by the projection of unresolved streaming motions mainly arising from spiral arms. Our methodology is a powerful tool to constrain the dominant direction of streaming motions and thus the shape of the velocity ellipsoid of H I gas, which is de facto anisotropic at the angular scales probed by the observations. The next step is to study the shape of the velocity ellipsoids of molecular and ionised gas and their link with galaxy mass and/or morphology, in addition to extending the sample size.
Behandlung depressiver Störungen mittels nicht invasiver Neuromodulation
Authors: Buthut Maria , Haslacher David , Soekadar Surjo R. 
Published: July 2023

ZUSAMMENFASSUNGZur evidenzbasierten Behandlung depressiver Störungen gehören neben pharmako- und psychotherapeutischen Ansätzen auch nicht invasive Neuromodulationsverfahren. Während die Elektrokrampftherapie (EKT) in der Öffentlichkeit am bekanntesten ist, sind andere Techniken wie die transkranielle elektrische oder magnetische Stimulation (TES/TMS) weniger bekannt, auch in Fachkreisen, obwohl beispielsweise die TMS in verschiedene Behandlungsleitlinien aufgenommen wurde. Innovative Ansätze zur gezielten Modulation neuronaler Aktivität, wie die Closed-loop-Neuromodulation, bei der die Stimulationsparameter kontinuierlich an die aktuelle Hirnaktivität angepasst werden, sowie die transkranielle fokussierte Ultraschallstimulation (tFUS) und temporale Interferenzstimulation (TIS), die eine gezielte Stimulation tiefer Hirnregionen ermöglichen sollen, versprechen neue Perspektiven für die Behandlung depressiver Störungen.
Psychedelikagestützte Psychotherapie in der Behandlung depressiver Störungen
Authors: Becher Lilith , Nanni Federico , Koslowski Michael 
Published: July 2023

ZUSAMMENFASSUNGIn den letzten Jahren wurde ein Anstieg depressiver Erkrankungen innerhalb der deutschen Bevölkerung verzeichnet 1. Dabei sprechen ca. 30 % der Patienten nicht ausreichend auf die Behandlung mit verschiedenen Antidepressiva an und gelten somit als therapieresistent 2. Psychedelika wie Psilocybin stellen einen vielversprechenden Therapieansatz in der Behandlung der Depression dar. Der Einsatz von Psychedelika in Therapie und Forschung wurde Anfang der 1970er-Jahre durch die Eingruppierung als Betäubungsmittel stark erschwert und ist erst in den 1990er-Jahren wieder aufgenommen worden.In diesem Artikel wird der Stand der Forschung zur psychedelikaassistierten Psychotherapie vorgestellt. Ein besonderes Augenmerk wird dabei auf die Forschung zu psychedelikagestützter Psychotherapie bei depressiven Störungen gelegt, gefolgt von einem Ausblick.
Empirical analysis of tourist satisfaction of leisure farms: evidence from Qing Jing Farms, Taiwan
Authors: Wang Cong , Hao Yuanyuan 
Published: July 2023

AbstractTourist satisfaction is an important factor in improving the operating efficiency of leisure farms, which is of great significance in improving the service quality and management level of tourist destinations. In this paper, a Questionnaire survey was adopted to investigate the satisfaction degree of tourists to the products and services of Qingjing Farm and to verify the index system. It is one of the most widely used and important research methods. We discussed the satisfaction difference of tourists on various influencing factors of Qingjing Farm. The results show: (1) leisure farms provide tourists with popular tourism products with universal applicability. (2) Tourists of Qingjing Farm have a high degree of satisfaction with leisure farm resources, ticket prices and services. Leisure farms can improve the service level by increasing the richness and safety of tourists’ experience activities. (3) Tourists generally believe that the commodity price in scenic spot is high. The product is relatively simple and requires innovation. Most tourists think that the ticket price is reasonable. In the end, we clarified which aspects are worth learning from and which need to be improved in operation management. The research has certain enlightenment and reference significance for the development of Chinese rural tourism.
Localized creation of yellow single photon emitting carbon complexes in hexagonal boron nitride
Authors: Kumar Anand , Cholsuk Chanaprom , Zand Ashkan , Mishuk Mohammad N. , Matthes Tjorben , Eilenberger Falk , Suwanna Sujin , Vogl Tobias 
Published: July 2023

Single photon emitters in solid-state crystals have received a lot of attention as building blocks for numerous quantum technology applications. Fluorescent defects in hexagonal boron nitride (hBN) stand out due to their high luminosity and robust operation at room temperature. The fabrication of identical emitters at pre-defined sites is still challenging, which hampers the integration of these defects in optical systems and electro-optical devices. Here, we demonstrate the localized fabrication of hBN emitter arrays by electron beam irradiation using a standard scanning electron microscope with deep sub-micron lateral precision. The emitters are created with a high yield and a reproducible spectrum peaking at 575 nm. Our measurements of optically detected magnetic resonance have not revealed any addressable spin states. Using density functional theory, we attribute the experimentally observed emission lines to carbon-related defects, which are activated by the electron beam. Our scalable approach provides a promising pathway for fabricating room temperature single photon emitters in integrated quantum devices.
Surface modification using automatic, transportable, single-wavelength UV treatment system for formation of surfaces with high adhesion
Authors: Tajima Kazuki , Kubota Takashi , Watanabe Hiroshi 
Published: July 2023

Multi-material structures have become increasingly prevalent in recent years, particularly in the automotive and optical device industries. Achieving a strong bond between different materials in these structures is essential, and surface modification is a key step in achieving this bond. Common surface treatment methods include plasma, flame, blasting, and light treatment, but these high-energy methods can sometimes damage the substrate, which is especially problematic in the case of optical devices. Therefore, there is a need for milder surface treatment methods. To address this issue, researchers have developed a custom-made ultraviolet (UV) surface treatment system with an automatic transporter. They investigated the effects of surface modification on indium tin oxide/glass substrates and found that after ∼5 min of treatment with their system, the water contact angle (which is required for coating processes) was reduced, indicating successful surface modification. This was confirmed by narrow-scan x-ray photoelectron spectroscopy measurements, which showed a decay of the C1s peak. The developed UV treatment method is expected to be a useful surface treatment option for adherends in various multi-material structures, particularly those in the optical device industry where substrate damage must be avoided.
A microplasma device and its switching behavior triggered by modulated pulse signal
Authors: Chen Lichi , Wang Yaogong , Ma Xiaoqin , Liu Zhuoran , Wang Wenjiang , Zhang Xiaoning 
Published: July 2023

Abstract
Since the physical and electrical properties of plasmas are similar to those of semiconductor devices, plasma devices have been proposed to be good candidates for switching controlled devices when applied in harsh environments. In the proposed paper, a microplasma device with a dielectric barrier structure constructed with three electrodes (two driven electrodes and one trigger electrode) is fabricated, and the electrical characteristics of the proposed device are investigated in 2 kPa of argon. From the experimental results, a stable conducting current is obtained through the two driven electrodes in the device due to gas discharge, since the hysteresis characteristic of discharge plasmas (discharge is still maintained when the driven voltage is below the breakdown voltage of the gas because of the existence of residual charge particles), the device can be switched from the OFF to ON state through pre-discharge by a pulse applied to the trigger electrode. While in the device ON state, this trigger voltage attracts channel charged particles to the surface of the dielectric layer, quenching the discharge plasma current and the device can be switched from ON to OFF state. The trigger pulse that makes the device switch successfully goes from single to continuous up to 80 kHz. The influence of pulse parameters on the switching process is also investigated, pulse amplitude and pulse width are found to be important to determine whether the device can switch ON or OFF, peak current after switching, and the response speed of switching ON current; however, these switching parameters are barely affected by the rise and fall time of the pulse. The results are significant for the application of microplasma switching devices.
Upper and lower bounds for the speed of fronts of the reaction diffusion equation with Stefan boundary conditions
Authors: Benguria R D , Depassier M C 
Published: July 2023

Abstract
We establish two integral variational principles for the spreading speed of the one dimensional reaction diffusion equation with Stefan boundary conditions. The first principle is valid for monostable reaction terms and the second principle is valid for arbitrary reaction terms. These principles allow to obtain several upper and lower bounds for the speed. In particular, we construct a generalized Zeldovich–Frank–Kamenetskii type lower bound for the speed and upper bounds in terms of the speed of the standard reaction diffusion problem. We construct asymptotically exact lower bounds previously obtained by perturbation theory.
Three-dimensional ultrasound image reconstruction based on 3D-ResNet in the musculoskeletal system using a 1D probe: ex vivo and in vivo feasibility studies
Authors: Zou Qin , Huang Yuqing , Gao Junling , Zhang Bo , Wang Diya , Wan Mingxi 
Published: July 2023

Abstract

Objective. Three-dimensional (3D) ultrasound (US) is needed to provide sonographers with a more intuitive panoramic view of the complex anatomical structure, especially the musculoskeletal system. In actual scanning, sonographers may perform fast scanning using a one-dimensional (1D) array probe .at random angles to gain rapid feedback, which leads to a large US image interval and missing regions in the reconstructed volume. Approach. In this study, a 3D residual network (3D-ResNet) modified by a 3D global residual branch (3D-GRB) and two 3D local residual branches (3D-LRBs) was proposed to retain detail and reconstruct high-quality 3D US volumes with high efficiency using only sparse two-dimensional (2D) US images. The feasibility and performance of the proposed algorithm were evaluated on ex vivo and in vivo sets. Main r
esults. High-quality 3D US volumes in the fingers, radial and ulnar bones, and metacarpophalangeal joints were obtained by the 3D-ResNet, respectively. Their axial, coronal, and sagittal slices exhibited rich texture and speckle details. Compared with kernel regression, voxel nearest-neighborhood, squared distance weighted methods, and a 3D convolution neural network in the ablation study, the mean peak-signal-to-noise ratio and mean structure similarity of the 3D-ResNet were up to 28.53 ± 1.29 dB and 0.98 ± 0.01, respectively, and the corresponding mean absolute error dropped to 0.023 ± 0.003 with a better resolution gain of 1.22 ± 0.19 and shorter reconstruction time. Significance. These results illustrate that the proposed algorithm can rapidly reconstruct high-quality 3D US volumes in the musculoskeletal system in cases of a large amount of data loss. This suggests that the proposed algorithm has the potential to provide rapid feedback and precise analysis of stereoscopic details in complex and meticulous musculoskeletal system scanning with a less limited scanning speed and pose variations for the 1D array probe.
Deep learning optimal quantum annealing schedules for random Ising models
Authors: Hegde Pratibha Raghupati , Passarelli Gianluca , Cantele Giovanni , Lucignano Procolo 
Published: July 2023

Abstract
A crucial step in the race towards quantum advantage is optimizing quantum annealing using ad-hoc annealing schedules. Motivated by recent progress in the field, we propose to employ long-short term memory neural networks to automate the search for optimal annealing schedules for random Ising models on regular graphs. By training our network using locally-adiabatic annealing paths, we are able to predict optimal annealing schedules for unseen instances and even larger graphs than those used for training.