bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-frequency transcranial alternating current stimulation matching individual frequency of somatosensory evoked high-frequency oscillations can modulate the somatosensory system through thalamocortical pathway
Authors: Cruciani Alessandro , Pellegrino Giovanni , Todisco Antonio , Motolese Francesco , Sferruzzi Marco , Norata Davide , Santoro Francesca , Musumeci Gabriella , Rossi Mariagrazia , Pilato Fabio , Di Lazzaro Vincenzo , Capone Fioravante 
Published: November 2023

Abstract
tACS (transcranial alternating current stimulation) is a technique for modulating brain activity through electrical current. Its effects depend on cortical entrainment, which is most effective when transcranial alternating current stimulation matches the brain’s natural rhythm. High-frequency oscillations produced by external stimuli are useful for studying the somatosensory pathway. Our study aims to explore transcranial alternating current stimulation’s impact on the somatosensory system when synchronized with individual high-frequency oscillation frequencies. We conducted a randomized, sham-controlled study with 14 healthy participants. The study had three phases: Individualized transcranial alternating current stimulation (matching the individual’s high-frequency oscillation rhythm), Standard transcranial alternating current stimulation (600 Hz), and sham stimulation. We measured early and late HFO components after median nerve electrical stimulation at three time points: before (T0), immediately after (T1), and 10 min after transcranial alternating current stimulation (T2). Compared to Sham and Standard stimulation Individualized transcranial alternating current stimulation significantly enhanced high-frequency oscillations, especially the early component, immediately after stimulation and for at least 15 min. No other effects were observed for other high-frequency oscillation measures. In summary, our study provides initial evidence that transcranial alternating current stimulation synchronized with an individual’s high-frequency oscillation frequency can precisely and time-specifically modulate thalamocortical activity. These insights may pave the way for innovative, personalized neuromodulation methods for the somatosensory system.
Treatment Failure in a UK Malaria Patient Harboring Genetically Variant Plasmodium falciparum From Uganda With Reduced In Vitro Susceptibility to Artemisinin and Lumefantrine
Authors: van Schalkwyk Donelly A , Pratt Sade , Nolder Debbie , Stewart Lindsay B , Liddy Helen , Muwanguzi-Karugaba Julian , Beshir Khalid B , Britten Dawn , Victory Emma , Rogers Claire , Millard James , Brown Michael , Nabarro Laura E , Taylor Andrew , Young Bernadette C , Chiodini Peter L , Sutherland Colin J 
Published: November 2023

Abstract

Background
Recent cases of clinical failure in malaria patients in the United Kingdom (UK) treated with artemether-lumefantrine have implications for malaria chemotherapy worldwide.

Methods
Parasites were isolated from an index case of confirmed Plasmodium falciparum treatment failure after standard treatment, and from comparable travel-acquired UK malaria cases. Drug susceptibility in vitro and genotypes at 6 resistance-associated loci were determined for all parasite isolates and compared with clinical outcomes for each parasite donor.

Results
A traveler, who returned to the UK from Uganda in 2022 with Plasmodium falciparum malaria, twice failed treatment with full courses of artemether-lumefantrine. Parasites from the patient exhibited significantly reduced susceptibility to artemisinin (ring-stage survival, 17.3% [95% confidence interval {CI}, 13.6%–21.1%]; P &lt; .0001) and lumefantrine (effective concentration preventing 50% of growth = 259.4 nM [95% CI, 130.6–388.2 nM]; P = .001). Parasite genotyping identified an allele of pfk13 encoding both the A675V variant in the Pfk13 propeller domain and a novel L145V nonpropeller variant. In vitro susceptibility testing of 6 other P. falciparum lines of Ugandan origin identified reduced susceptibility to artemisinin and lumefantrine in 1 additional line, also from a 2022 treatment failure case. These parasites did not harbor a pfk13 propeller domain variant but rather the novel nonpropeller variant T349I. Variant alleles of pfubp1, pfap2mu, and pfcoronin were also identified among the 7 parasite lines.

Conclusions
We confirm, in a documented case of artemether-lumefantrine treatment failure imported from Uganda, the presence of pfk13 mutations encoding L145V and A675V. Parasites with reduced susceptibility to both artemisinin and lumefantrine may be emerging in Uganda.
Transcatheter aortic valve replacement using the two-step inflation technique and the kissing-balloon technique for a patient with a protruding stent in the left main coronary artery: a case report
Authors: Ohi Takuma , Watanabe Naoki , Takagi Kensuke , Morishima Itsuro 
Published: November 2023

Abstract

Background
When performing transcatheter aortic valve replacement (TAVR) for a patient with a protruding stent in the coronary arteries, there is a risk of stent deformation and coronary occlusion. However, safe and optimal methods have not been established.

Case summary
An 87-year-old woman with a protruding stent in the left main coronary artery (LMCA) underwent TAVR. The two-step inflation and kissing-balloon techniques were performed to optimize the transcatheter heart valve (THV) and to avoid LMCA stent deformation. The THV was implemented with minimal aortic regurgitation and no deformation of the stent in the LMCA.

Discussion
This was the first case report of TAVR, performed in a patient with a protruding stent in the coronary arteries, using the kissing-balloon technique and the two-step inflation technique. The combination of these two techniques was the optimal method for THV implantation without stent deformation in coronary arteries.
Maintaining or increasing cardiorespiratory fitness is associated with reduced hospital admission rate
Authors: Griffin Frida , Ekblom-Bak Elin , Arvidsson Daniel , Paulsson Sofia , Börjesson Mats 
Published: November 2023

Abstract

Aims
The aim of this study was to investigate the association between change in cardiorespiratory fitness (CRF) and cardiovascular disease (CVD)-related and all-cause hospital admission and explore if the association varies dependently on prior admission, baseline CRF, sex, and age.

Methods and results
A total of 91 140 adult participants (41.5% women) with two examinations from occupational health profile assessments between 1986 and 2019 were included (mean of 3.2 years between examinations). Cardiorespiratory fitness was assessed as maximal oxygen consumption and estimated through a submaximal cycle test. Cardiorespiratory fitness change was defined as annual percentage change in relative CRF (mL/min/kg) and further divided into ‘decliners’ (≤1%), ‘maintainers’ (−1% to 1%), and ‘increasers’ (&gt;1%). Hospital admissions were followed over a mean of 7 years. Natural cubic splines and Cox proportional hazards model were applied. Additionally, prevented fraction for the population was calculated. Increase in CRF was associated with a lower risk of CVD [hazard ratio (HR) = 0.99] and all-cause hospital admission (HR = 0.99), after multilevel adjustment for confounders and change in smoking, diet, and stress. Compared with a decline, maintenance of CRF was associated with 9% and 7% lower risk of CVD and all-cause admission, respectively. Increase in CRF reduced the risk by 13% and 11% and, for individuals with prior admission, by 20% and 14%. The burden of CVD and all-cause admission was 6% and 5% lower than if the whole cohort had declined CRF, with large potential cost savings.

Conclusion
Efforts to maintain or improve CRF should be included in disease-preventive strategies, regardless of change in other lifestyle-related risk factors. Preventing the age-associated decline in CRF can lessen healthcare utilization and costs.
Comparison of automated subcutaneous defibrillator screening between different pacing sites in cardiac pacing device carriers
Authors: Molina-Lerma Manuel , Cabrera-Borrego Eva , Rivera-Lopez Ricardo , Sánchez-Millán Pablo , Peña Mellado Jesús , Arriaga Jiménez Antonio , Álvarez Miguel 
Published: November 2023

Abstract

Aims
The compatibility of cardiac pacing with the presence of a subcutaneous implantable cardioverter-defibrillator (S-ICD) has been investigated, but S-ICD screening test results have not been compared among different pacing sites. The objective was to compare S-ICD screening results among different cardiac pacing sites and to assess the electrocardiographic predictors of success.

Methods and results
This prospective single-centre study conducted automated S-ICD screening in 102 carriers of cardiac pacing devices in conduction system (CSP), biventricular (BVP), right ventricular outflow tract (RVOT), or right ventricular apex (RVA) pacing sites. The study included 102 patients: 40 with CSP (20 left bundle pacing and 20 His bundle pacing), 21 with BVP, and 20 and 21 with RVOT and RVA pacing, respectively. The percentage of positive screenings was significantly higher for CSP (97.5%) than for the other patient groups (BVP 71.4%, RVOT 70%, and RVA 19%). In multivariate analysis, positive screening was associated with a narrower QRS (OR 0.95 [0.92–0.98] P = 0.001) and higher R/T ratio in precordial leads (1.76 [1.18–2.61]).

Conclusion
A higher S-ICD eligibility rate of cardiac pacing device carriers was obtained in CSP than in conventional pacing (RVA or RVOT) or BVP. The presence of narrower paced QRS width and paced corrected QT interval and of higher R/T ratio in precordial and limb leads are electrocardiographic predictors of a positive response to screening.
When and how can we predict adaptive responses to climate change?
Authors: Urban Mark C , Swaegers Janne , Stoks Robby , Snook Rhonda R , Otto Sarah P , Noble Daniel W A , Moiron Maria , Hällfors Maria H , Gómez-Llano Miguel , Fior Simone , Cote Julien , Charmantier Anne , Bestion Elvire , Berger David , Baur Julian , Alexander Jake M , Saastamoinen Marjo , Edelsparre Allan H , Teplitsky Celine 
Published: November 2023

AbstractPredicting if, when, and how populations can adapt to climate change constitutes one of the greatest challenges in science today. Here, we build from contributions to the special issue on evolutionary adaptation to climate change, a survey of its authors, and recent literature to explore the limits and opportunities for predicting adaptive responses to climate change. We outline what might be predictable now, in the future, and perhaps never even with our best efforts. More accurate predictions are expected for traits characterized by a well-understood mapping between genotypes and phenotypes and traits experiencing strong, direct selection due to climate change. A meta-analysis revealed an overall moderate trait heritability and evolvability in studies performed under future climate conditions but indicated no significant change between current and future climate conditions, suggesting neither more nor less genetic variation for adapting to future climates. Predicting population persistence and evolutionary rescue remains uncertain, especially for the many species without sufficient ecological data. Still, when polled, authors contributing to this special issue were relatively optimistic about our ability to predict future evolutionary responses to climate change. Predictions will improve as we expand efforts to understand diverse organisms, their ecology, and their adaptive potential. Advancements in functional genomic resources, especially their extension to non-model species and the union of evolutionary experiments and “omics,” should also enhance predictions. Although predicting evolutionary responses to climate change remains challenging, even small advances will reduce the substantial uncertainties surrounding future evolutionary responses to climate change.
Substantial variation in species ages among vertebrate clades
Authors: Pie Marcio R , Caron Fernanda S 
Published: November 2023

Abstract
Ecological and evolutionary studies traditionally assume that species are comparable units of biodiversity. However, not only this assumption is rarely tested, but also there have been few attempts even to assess variation in most emergent, species-level traits and their corresponding underlying mechanisms. One such trait is species age, here defined as the time since the most recent common ancestor between a given species and its sister lineage. In this study, we demonstrate that different terrestrial vertebrate clades vary considerably in the age of their constituent species. In particular, species ages were youngest in mammals and birds as opposed to squamates and amphibians, although considerable variation was found within those clades as well. Sensitivity analyses showed that these results are unaffected by phylogenetic uncertainty or incomplete taxonomic sampling. Interestingly, there was little geographical correspondence in mean species age across taxa, as well as with temperature and precipitation stability over the past 21 000 years. We discuss candidate mechanisms that might explain differences in species ages among clades, and explore the implications of these findings in relation to recent advances in age-dependent speciation and extinction models of diversification.
A targeted approach to enrich host-associated bacteria for metagenomic sequencing
Authors: Dungan Ashley M , Tandon Kshitij , Jameson Vanta , Gotze Cecilie Ravn , Blackall Linda L , van Oppen Madeleine J H 
Published: November 2023

Abstract
Multicellular eukaryotic organisms are hosts to communities of bacteria that reside on or inside their tissues. Often the eukaryotic members of the system contribute to high proportions of metagenomic sequencing reads, making it challenging to achieve sufficient sequencing depth to evaluate bacterial ecology. Stony corals are one such complex community; however, separation of bacterial from eukaryotic (primarily coral and algal symbiont) cells has so far not been successful. Using a combination of hybridization chain reaction fluorescence in situ hybridization and fluorescence activated cell sorting (HCR-FISH + FACS), we sorted two populations of bacteria from five genotypes of the coral Acropora loripes, targeting (i) Endozoicomonas spp, and (ii) all other bacteria. NovaSeq sequencing resulted in 67–91 M reads per sample, 55%–90% of which were identified as bacterial. Most reads were taxonomically assigned to the key coral-associated family, Endozoicomonadaceae, with Vibrionaceae also abundant. Endozoicomonadaceae were 5x more abundant in the ‘Endozoicomonas’ population, highlighting the success of the dual-labelling approach. This method effectively enriched coral samples for bacteria with &lt;1% contamination from host and algal symbionts. The application of this method will allow researchers to decipher the functional potential of coral-associated bacteria. This method can also be adapted to accommodate other host-associated communities.
A Nonpharmacologic Treatment for Anxiety in Older Adults Based on Cognitive-Motor Training With Response-Generated Feedback
Authors: Lucia Stefania , Forte Roberta , Boccacci Luca , Grimandi Luca , Bittner Marion , Aydin Merve , Trentin Chiara , Tocci Nicoletta , Di Russo Francesco 
Published: November 2023

Abstract

Objectives
Simultaneous combinations of cognitive and physical exercises (cognitive-motor dual-task training [CMDT]) are more effective than physical and cognitive training alone in counteracting the decline of older adults and promoting physical and psychological well-being. The CMDT can be particularly effective in improving cognitive and functional abilities. Here, we validated an innovative nonpharmacologic intervention for anxiety and general well-being in older people by combining CMDT and response-generated feedback (RGF) principles. As outcomes, anxiety, cognitive functions, and functional mobility were evaluated. In addition, electroencephalographic methods were employed to investigate the neural basis of the possible intervention effects.

Methods
Thirty older adults were divided into an experimental group trained using a CMDT + RGF protocol and a control group using the CMDT only. The CMDT + RGF consisted of the simultaneous execution of whole-body exercises, cognitive tasks that were realized using interactive devices, and continuous feedback on every response.

Results
Results showed decreased anxiety and increased response speed in the experimental group, and both groups improved their functional ability and response accuracy after the intervention. According to electroencephalographic results, both groups showed an increase in the bilateral prefrontal cortex anticipatory activity, but the experimental group also showed a further increase in the left prefrontal cortex and in the premotor areas anticipatory functions.

Discussion
This study confirms the effectiveness of the proposed intervention on anxiety by adopting a nonpharmacology treatment that could affect public and individual health costs by proposing an alternative approach to expensive medications and psychotherapy and could significantly improve older adults’ quality of life.
Predicting streaming potential in reactive media: the role of pore geometry during dissolution and precipitation
Authors: Soldi M , Guarracino L , Jougnot D 
Published: November 2023

SUMMARY
Dissolution and precipitation processes modify the structure of the porous media at microscale which significantly affects the macroscopic properties of the media. These variations in the pore geometry result in changes in the hydraulic properties that control the groundwater flow, and also modify the electrokinetic properties associated to the displacement of electrical charges carried by the flow which originates the streaming potential. Under the hypothesis of a uniform dissolution or precipitation of the pores and based on the effective excess charge density approach, we present a physically based theoretical model for estimating the effective excess charge density as a function of time. The model is based on the assumption that the pore structure can be represented by an ensemble of capillary tubes with a smooth periodic variation of their radius and a fractal pore size distribution. The analytical expressions obtained to describe the effective excess charge density depend on the chemical parameters of the fluid and the petrophysical properties of the medium. In addition, the periodic variations assumed in the pore geometry represent a more realistic description of a porous medium than considering the pores as constant radii capillaries. These irregularities allow us to include the hysteresis phenomenon in the electrokinetic properties. The expressions of the proposed model have been tested with experimental data consisting of sets of effective excess charge density-effective saturation, permeability-effective saturation, porosity-time and permeability-time values. In all cases, the model is able to satisfactorily reproduce the behaviour of the data.
DAS-N2N: machine learning distributed acoustic sensing (DAS) signal denoising without clean data
Authors: Lapins S , Butcher A , Kendall J-M , Hudson T S , Stork A L , Werner M J , Gunning J , Brisbourne A M 
Published: November 2023

SUMMARY
This paper presents a weakly supervised machine learning method, which we call DAS-N2N, for suppressing strong random noise in distributed acoustic sensing (DAS) recordings. DAS-N2N requires no manually produced labels (i.e. pre-determined examples of clean event signals or sections of noise) for training and aims to map random noise processes to a chosen summary statistic, such as the distribution mean, median or mode, whilst retaining the true underlying signal. This is achieved by splicing (joining together) two fibres hosted within a single optical cable, recording two noisy copies of the same underlying signal corrupted by different independent realizations of random observational noise. A deep learning model can then be trained using only these two noisy copies of the data to produce a near fully denoised copy. Once the model is trained, only noisy data from a single fibre is required. Using a data set from a DAS array deployed on the surface of the Rutford Ice Stream in Antarctica, we demonstrate that DAS-N2N greatly suppresses incoherent noise and enhances the signal-to-noise ratios (SNR) of natural microseismic icequake events. We further show that this approach is inherently more efficient and effective than standard stop/pass band and white noise (e.g. Wiener) filtering routines, as well as a comparable self-supervised learning method based on masking individual DAS channels. Our preferred model for this task is lightweight, processing 30 s of data recorded at a sampling frequency of 1000 Hz over 985 channels (approximately 1 km of fibre) in &lt;1 s. Due to the high noise levels in DAS recordings, efficient data-driven denoising methods, such as DAS-N2N, will prove essential to time-critical DAS earthquake detection, particularly in the case of microseismic monitoring.
Multichannel coherence migration grid search (MCMgs) in locating microseismic events recorded by a surface array
Authors: Parastatidis E , Pytharouli S , Stankovic L , Stankovic V , Shi P , Hildyard M W 
Published: November 2023

SUMMARY
Microseismic monitoring has been used in geo-energy related activities, such as shale-gas exploitation, mining, deep geothermal exploitation, geotechnical and structural engineering, for detecting and locating fractures, rock failures and micro-earthquakes. The success of microseismic monitoring depends on reliable detection and location of the recorded microseismicity. Multichannel coherence migration (MCM) is a detection and location waveform migration-based approach which does not require phase picking, identification and association and performs well on noisy data. Its caveat is a high computational cost, which impedes its application of MCM on large data sets or for real-time monitoring. To address this issue, we propose an improved approach, the multichannel coherence migration grid search (MCMgs), by introducing an adaptive grid optimization technique. Based on results from synthetic and real data, we show that MCMgs reduces the computation time up to 64 times. In addition, MCMgs generates multiple maximum coherence values with various grid sizes instead of a single (maximum) coherence value that links to a single gridpoint and size, thus resulting in more accurate locations. Our simulation results on different deployment geometries demonstrate that MCMgs is effective even with a small number of recordings available—a minimum of seven. We conduct a sensitivity analysis to assess how the detectability of events is affected by the spatial arrangement of the deployed monitoring array. If a limited number of seismometers are available for deployment, our analysis favours a patch array deployment geometry. We show that 12 seismometers deployed at a patch array geometry can have similar detection and localization capability as a large rectangular array of more than 100 seismometers but at a much lower computational and deployment cost.