bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cruciate‐substituting and posterior‐stabilised total knee arthroplasties had similar gait patterns in the short term
Authors: Favroul Clément , Batailler Cécile , Naaim Alexandre , Foissey Constant , Kafelov Moussa , Cheze Laurence , Servien Elvire , Lustig Sébastien 
Published: September 2023

AbstractPurposeSurgeons want to achieve native kinematics in primary total knee arthroplasty (TKA). Cruciate‐substituting (CS) implants could restore the knee kinematics more efficiently than posterior‐stabilised (PS) TKA. This study aimed to compare gait patterns in patients with CS or PS TKA at 6 months. The hypothesis was that CS implants would demonstrate comparable gait parameters to PS implants at 6 months.MethodsIn this prospective case–control study, 38 primary TKA without coronal laxity were divided into 2 groups: 19 cruciate‐substituting (CS) and 19 posterior‐stabilised (PS) implants. The type of prosthesis was determined according to the surgical period. Exclusion criteria were TKA revision, associated procedures and inability to walk on a treadmill. Gait analysis was conducted on a treadmill 6 months postoperatively for each patient with a knee assessment device (KneeKG®). Gait characteristics included analysis in three spatial dimensions (flexion–extension, abduction–adduction, internal–external rotation, anterior–posterior translation). Clinical outcomes (Knee Society Score and Forgotten Joint Score) were compared between both groups at 6 months postoperatively.ResultsAt 6 months, the gait analysis did not demonstrate any significant difference between CS and PS implants. The range and the maximum anteroposterior translation were similar in both groups (9.2 ± 6.5 mm in CS group vs. 8.1 ± 3 mm in PS group (n.s.); and − 5.2 ± 5 mm in CS group vs. − 6.3 ± 5.9 mm in PS group (n.s.), respectively). The internal/external rotation, the flexion, and the varus angle were similar between CS and PS implants. The KSS Knee score was higher at 6 months in the CS group than in the PS group (92.1 ± 5.6 vs. 84.8 ± 8.9 (p < 0.01)).ConclusionCruciate‐substituting and posterior‐stabilised TKA had similar gait patterns at 6 months postoperatively, despite a non‐equivalent posterior stabilisation system. CS prostheses were an interesting option for primary TKA for knee kinematics restoration without requiring a femoral box.Level of evidenceProspective, case–control study; Level II.
Bimanual finger coordination in professional and amateur darbuka players
Authors: Honda Kazuaki , Fujii Shinya 
Published: September 2023

AbstractProfessional hand percussionists who play the darbuka (a drum from the Middle East) show fast and stable bimanual finger coordination compared to amateur players. A cross-recurrence quantification analysis clarifies how stable bimanual coordination is achieved by dissociating stochastic noise and attractor strength in the dynamic system. This study employed a cross-recurrence quantification analysis to examine professional and amateur darbuka players’ fast and stable bimanual finger coordination. Eight professional and eight amateur percussion players participated in the study and played a darbuka with their right and left ring fingers, alternating as fast as possible for 12 s. We then analyzed the finger position data and calculated the stochastic noise and attractor strength from the density and the longest diagonal line in the recurrence plot, respectively. We used linear mixed-effects models to test whether stochastic noise and attractor strength differed between professional and amateur players. The results indicate that professional darbuka players achieve fast and stable bimanual finger coordination by enhancing attractor strength rather than reducing stochastic noise in the dynamic system.
Burden with No Benefit: Prior Authorization in Congenital Cardiology
Authors: Marcus Brian S. , Bansal Neha , Saef Joshua , Fink Christina , Patel Angira , Shaffer Katherine D. , Mayer John E. , Johnson Jonathan N. , Shaffer Kenneth , Chowdhury Devyani 
Published: September 2023

AbstractPrior authorization is a process that health insurance companies use to determine if a patient’s health insurance will cover certain medical treatments, procedures, or medications. Prior authorization requests are common in adult congenital and pediatric cardiology (ACPC) due to need for advanced diagnostics, complex procedures, disease-specific medications, and the heterogeneity of the ACPC population. Prior authorizations in ACPC are rarely denied, but nonetheless, they are often accompanied by significant administrative burden on clinical care teams and delays in patient care. Prior authorizations have been implicated in worsening care inequities. The prior authorization process is insurer specific with differences between commercial and public insurers. Prior authorization rejections were previously found to be more common for women, racial minorities, those with low education, and in low-income groups. Prior authorization unduly burdens routine diagnostics, routine interventional and surgical procedures, and routine cardiac specific medication use in the ACPC population. This manuscript highlights the burdens of prior authorization and advocates for the elimination of prior authorization for ACPC patients.
New perspectives on plant-use at neolithic Abu Hureyra, Syria: an integrated phytolith and spherulite study
Authors: Dudgeon Kate 
Published: September 2023

AbstractArchaeobotanical remains contribute crucial evidence for shifts in human economy from foraging to farming, understanding early village life and the strategies employed by people in the past to cope with changing environmental conditions. However, differential preservation of plant proxies often leads to the over or under representation of some plant types. This research analyses phytoliths and faecal spherulites to provide new perspectives on human economy at the Neolithic site of Abu Hureyra, N. Syria (∼ 11100–6000 bc) and plant taphonomy by comparing results with those from previous extensively analysed charred plant macro-fossils. This site is of especial importance as one of the earliest and largest pre-pottery Neolithic B farming settlements in the world, however, it was flooded following the construction of the Tabqa dam in the 1970s. This research therefore presents a case study for some of the methods that can be applied to archival material to continue research in areas of high archaeological significance that are no longer accessible. The presence of dung spherulites suggests a background faecal component in sediments throughout the lifespan of the site, and should therefore be considered as a depositional pathway for some of the charred plant macrofossils and phytoliths. Phytolith analyses show that a diverse range of vegetation types were exploited throughout the lifespan of Abu Hureyra, reflecting the site’s favourable position on the border of several ecotones, which likely contributed to its longevity over several millennia.
The effect of intratympanic gentamicin as a prehabilitation strategy for objective and subjective vestibular function in patients undergoing microsurgery for a unilateral vestibular schwannoma
Authors: Fuentealba Bassaletti Constanza , van Esch Babette F. , Jansen Jeroen C. , van Benthem Peter Paul G. , Hensen Erik F. 
Published: September 2023

Abstract
Objective
To review the literature on intratympanic gentamicin treatment as prehabilitation for patients undergoing surgery for a unilateral vestibular schwannoma.

Data sources
A systematic literature search was conducted up to March 2023 in Pubmed, Embase, Cochrane, Web of Science, Academic Search Premier, Google Scholar and Emcare databases.

Review methods
Articles on the effect of intratympanic gentamicin followed by vestibular schwannoma surgery were reviewed. Data on objective vestibular function and subjective outcomes were compiled in tables for analysis. Relevance and methodological quality were assessed with the methodological index for non-randomized tool.

Results
A total of 281 articles were identified. After screening and exclusion of duplicates, 13 studies were reviewed for eligibility, of which 4 studies could be included in the review. The posturography test, the subjective visual horizontal test, and the optokinetic nystagmus test showed decreased vestibular function in the group of patients who received intratympanic gentamicin before microsurgery compared to the group of patients without gentamicin. Other objective tests did not show significant differences between patient groups. Subjective vestibular outcomes, as evaluated by questionnaires on quality of life and/or dizziness, did not seem to improve from intratympanic gentamicin pretreatment.

Conclusion
Vestibular schwannoma patients who received intratympanic gentamicin before surgical resection of the tumor performed better in the posturography test, subjective visual horizontal test, and the optokinetic nystagmus test afterwards. However, studies that also evaluated subjective outcomes such as dizziness, anxiety, depression, and balance self-confidence did not show a positive effect of intratympanic gentamicin on the vestibular complaints and symptoms.
Localized Sequential Bubbling for the Radial Energy Critical Semilinear Heat Equation
Authors: Lawrie Andrew 
Published: September 2023

AbstractIn this expository note, we prove a localized bubbling result for solutions of the energy critical nonlinear heat equation with bounded $$\dot{H} ^1$$

H
˙

1

norm. The proof uses a combination of Gérard’s profile decomposition (ESAIM Control Optim. Calc. Var. 3: 213–233, 1998), concentration compactness techniques in the spirit of Duyckaerts, Kenig, and Merle’s seminal work (Geom. Funct. Anal. 22: 639–698, 2012), and a virial argument in the spirit of Jia and Kenig’s work (Amer. J. Math. 139: 1521–1603, 2017) to deduce the vanishing of the error in the neck regions between the bubbles. The argument is based closely on an analogous lemma proved in the author’s recent work with Jendrej (arXiv:2210.14963, 2022) on the equivariant harmonic map heat flow in dimension two.
Towards phase-sensitive optical coherence tomography in smart laser osteotomy: temperature feedback
Authors: Hamidi Arsham , Bayhaqi Yakub A. , Canbaz Ferda , Navarini Alexander A. , Cattin Philippe C. , Zam Azhar 
Published: September 2023

AbstractThermal effects during bone surgery pose a common challenge, whether using mechanical tools or lasers. An irrigation system is a standard solution to cool the tissue and reduce collateral thermal damage. In bone surgery using Er:YAG laser, insufficient irrigation raises the risk of thermal damage, while excessive water lowers ablation efficiency. This study investigated the potential of optical coherence tomography to provide feedback by relating the temperature rise with the photo-thermal expansion of the tissue. A phase-sensitive optical coherence tomography system (central wavelength of λ=1.288 μm, a bandwidth of 60.9 nm and a sweep rate of 104.17 kHz) was integrated with an Er:YAG laser using a custom-made dichromatic mirror. Phase calibration was performed by monitoring the temperature changes (thermal camera) and corresponding cumulative phase changes using the phase-sensitive optical coherence tomography system during laser ablation. In this experiment, we used an Er:YAG laser with 230 mJ per pulse at 10 Hz for ablation. Calibration coefficients were determined by fitting the temperature values to phase later and used to predict the temperature rise for subsequent laser ablations. Following the phase calibration step, we used the acquired values to predict the temperature rise of three different laser-induced cuts with the same parameters of the ablative laser. The average root-mean-square error for the three experiments was measured to be around 4 °C. In addition to single-point prediction, we evaluated this method’s performance to predict the tissue’s two-dimensional temperature rise during laser osteotomy. The findings suggest that the proposed principle could be used in the future to provide temperature feedback for minimally invasive laser osteotomy.
The vocal repertoire and the daily calling activity of the Yellow-breasted Barbet (Trachyphonus margaritatus)
Authors: Mahamoud-Issa Mathieu , Sikora Bożena , Łosak Katarzyna , Osiejuk Tomasz S. 
Published: September 2023

AbstractThe Yellow-breasted Barbet (Trachyphonus margaritatus) is a group-living and chorusing bird species. However, its vocal repertoire remains poorly described. In this study, we measured the acoustic features of four distinct vocalisations as well as the daily calling activity of barbets at 11 roosting cavity sites. We found that bird’s peak of calling activity is early in the morning and at the end of the day. The cohesion calls and group vocal displays were the most common vocalisations. Moreover, cohesion calls were often used before the start of a group vocal displays which suggests a function in the intra-group cohesiveness.
Something is up in the air: pneumothorax and pneumopericardium in a 29-week preterm infant
Authors: Meyer Sascha , Ruffing Sarah , Geipel Martina , Poryo Martin , Larsen Alexander , Nemat Sogand 
Published: September 2023

SummaryThis report highlights the early and unusual detection of a pneumopericardium by echocardiography prior to potential development of cardiocirculatory compromise. It is important to consider pneumopericardium into the differential diagnosis when difficulties arise in the visualization of the heart by conventional echocardiography. Pneumopericardium is associated with a high mortality rate and may be effectively treated by immediate insertion of a pericardial catheter.
Changes in HIV Pre-exposure Prophylaxis (PrEP) Coverage at State and County Level During the COVID-19 Pandemic in the United States
Authors: Fallahi Mahdi , Guadamuz Jenny S. , Shooshtari Andrew , Qato Dima M 
Published: September 2023

AbstractThis study quantifies the prevalence and trends in weekly PrEP coverage at the national, state and county-level, before and during the COVID-19 pandemic in the United States.We estimated weekly PrEP coverage using longitudinal individual-level pharmacy claims from IQVIA LRx for a cohort of PrEP users (N = 287,493) ages 16 to 85 years between December 29th, 2019 and November 8th, 2020. Weekly PrEP coverage was defined as PrEP use among individuals at high risk for HIV. We conducted an interrupted time series analysis to quantify changes in weekly PrEP coverage before (December 29th, 2019 - March 8th, 2020) and during (March 29th - November 8th, 2020) the COVID-19 pandemic at the national, state and county-level by county characteristics, specifically by EHE priority jurisdiction, racial/ethnic composition, and urbanity. Nationally, weekly PrEP coverage among individuals ages 16 to 85 at high risk for HIV declined by 11.5% (from 11.0% before to 9.5% during the pandemic; t = 8.02,p < 0.01). Weekly PrEP coverage declined in all states and most counties yet varied substantially across states and counties. Geographic disparities in weekly PrEP coverage were also observed between urban EHE priority counties with significantly lower rates in counties with ≥ 50% Black/Latinx population when compared to their counterparts (7.9% vs. 11.2%; t = 18.91,p < 0.01);these disparities were most pronounced in California and New York. Weekly PrEP coverage was much lower than the 25% annual coverage reported by the Centers for Disease Control and geographic disparities observed within states likely contribute to the persistent racial/ethnic disparities in new HIV diagnoses observed within those states.
Complexity Measures for EEG Microstate Sequences: Concepts and Algorithms
Authors: von Wegner Frederic , Wiemers Milena , Hermann Gesine , Tödt Inken , Tagliazucchi Enzo , Laufs Helmut 
Published: September 2023

AbstractEEG microstate sequence analysis quantifies properties of ongoing brain electrical activity which is known to exhibit complex dynamics across many time scales. In this report we review recent developments in quantifying microstate sequence complexity, we classify these approaches with regard to different complexity concepts, and we evaluate excess entropy as a yet unexplored quantity in microstate research. We determined the quantities entropy rate, excess entropy, Lempel–Ziv complexity (LZC), and Hurst exponents on Potts model data, a discrete statistical mechanics model with a temperature-controlled phase transition. We then applied the same techniques to EEG microstate sequences from wakefulness and non-REM sleep stages and used first-order Markov surrogate data to determine which time scales contributed to the different complexity measures. We demonstrate that entropy rate and LZC measure the Kolmogorov complexity (randomness) of microstate sequences, whereas excess entropy and Hurst exponents describe statistical complexity which attains its maximum at intermediate levels of randomness. We confirmed the equivalence of entropy rate and LZC when the LZ-76 algorithm is used, a result previously reported for neural spike train analysis (Amigó et al., Neural Comput 16:717–736, https://doi.org/10.1162/089976604322860677, 2004). Surrogate data analyses prove that entropy-based quantities and LZC focus on short-range temporal correlations, whereas Hurst exponents include short and long time scales. Sleep data analysis reveals that deeper sleep stages are accompanied by a decrease in Kolmogorov complexity and an increase in statistical complexity. Microstate jump sequences, where duplicate states have been removed, show higher randomness, lower statistical complexity, and no long-range correlations. Regarding the practical use of these methods, we suggest that LZC can be used as an efficient entropy rate estimator that avoids the estimation of joint entropies, whereas entropy rate estimation via joint entropies has the advantage of providing excess entropy as the second parameter of the same linear fit. We conclude that metrics of statistical complexity are a useful addition to microstate analysis and address a complexity concept that is not yet covered by existing microstate algorithms while being actively explored in other areas of brain research.
Machine Learning Differentiation of Autism Spectrum Sub-Classifications
Authors: Thapa R , Garikipati A , Ciobanu M , Singh NP , Browning E , DeCurzio J , Barnes G , Dinenno FA , Mao Q , Das R 
Published: September 2023

Abstract
Purpose
Disorders on the autism spectrum have characteristics that can manifest as difficulties with communication, executive functioning, daily living, and more. These challenges can be mitigated with early identification. However, diagnostic criteria has changed from DSM-IV to DSM-5, which can make diagnosing a disorder on the autism spectrum complex. We evaluated machine learning to classify individuals as having one of three disorders of the autism spectrum under DSM-IV, or as non-spectrum.

Methods
We employed machine learning to analyze retrospective data from 38,560 individuals. Inputs encompassed clinical, demographic, and assessment data.

Results
The algorithm achieved AUROCs ranging from 0.863 to 0.980. The model correctly classified 80.5% individuals; 12.6% of individuals from this dataset were misclassified with another disorder on the autism spectrum.

Conclusion
Machine learning can classify individuals as having a disorder on the autism spectrum or as non-spectrum using minimal data inputs.
Increasing Face Mask Wearing in Autistic Individuals Using Behavior Analytic Interventions: A Systematic Review and Meta-analysis
Authors: Cowell Rebekah , Vostanis Athanasios , Langdon Peter E. 
Published: September 2023

AbstractThe current review aimed to evaluate the effectiveness of behavior-analytic procedures in increasing face mask-wearing in autistic individuals. This comes following recommended guidance during the COVID-19 pandemic. A systematic review and meta-analysis were completed of peer-reviewed and grey literature. Six databases were searched and seven studies using single-case experimental designs met the eligibility criteria which were then quality appraised. Data were extracted on participant characteristics, study design, independent and dependent variables, fidelity, generalization, maintenance, and social validity outcomes. Both the non-overlap of all pairs and Baseline Corrected TAU were used to estimate effect size. Two studies were rated strong and borderline strong quality and five were rated as adequate or below. All studies showed positive outcomes for mask-wearing, with an average of 0.92 for non-overlap of all pairs and 0.47 for Baseline Corrected Tau effect sizes. The most common and effective procedures for increasing mask-wearing were graded exposure and differential and positive reinforcement. Factors such as mode of delivery, implementer, and setting did not appear to influence study outcomes. Procedures were found to be rated as acceptable by parents and professionals in five of the studies. The existing literature on increasing face mask-wearing in autistic individuals provides promising findings to add to existing literature around increasing tolerance to medical equipment and hygiene practices in autistic populations. However, these findings are based on a small sample size, with six of the studies taking place in the United States with varying study quality.
A Bayesian Approach to Risk-Based Autonomy, with Applications to Contact-Based Drone Inspections
Authors: Rothmund Sverre Velten , Thieme Christoph Alexander , Utne Ingrid Bouwer , Johansen Tor Arne 
Published: September 2023

AbstractEnabling higher levels of autonomy while ensuring safety requires an increased ability to identify and handle internal faults and unforeseen changes in the environment. This article presents an approach to improve this ability for a robotic system executing a series of independent tasks by using a dynamic decision network (DDN). A simulation case study of an industrial inspection drone performing contact-based inspection is used to demonstrate the capabilities of the resulting system. The case study demonstrates that the system is able to infer the presence of internal faults and the state of the environment by fusing information over time. This information is used to make risk-informed decisions enabling the system to proactively avoid failure and to minimize the consequence of faults. Lastly, the case study demonstrates that evaluating past states with new information enables the system to identify and counteract previous sub-optimal actions.
Distinguishable Recycling and Photodegradation Processes of Real Industrial Effluents and Blue Dianix Dye in the Presence of Different TQDs Size
Authors: Mohamed Walied A. A. , Saad Waleed M. , Mohamed Farid Sh. , El-Bindary Ashraf A. 
Published: September 2023

AbstractThree titanium dioxide quantum dots (TQDs) samples were successfully synthesized at low calcination temperatures via a modified precipitation method at T1 = 330, T2 = 360, and T3 = 400 °C. The synthesized TQDs samples were characterized by: XRD, FE-SEM, HRTEM, and EDX to analyze the crystallinity, purity, and existence of asymmetric circle forms for the TQDs catalysts. Also, the surface area, band gap energy, and crystallite size at different calcination temperatures are 322.32 m2/g, 3.20 eV, and 4.9 nm at 300 °C, 292.39 m2/g, 3.14 eV, and 5.4 nm at 360 °C, and 254.66 m2/g, 3.07 eV, and 6.2 nm at 400 °C, respectively. A xenon photoreactor (70 W/cm2) was used to evaluate the photodegradation process of Blue Dianix dye and sunlight for real industrial effluent treatment. The photocatalytic activity decreases as the crystallite size increases in the TQD samples. Photocatalytic activity of TQDs due to their distinguishable crystalline domain size of less than 10 nm and their high surface area. The photodegradation rate of real industrial effluents was evaluated according to the COD limits permitted by Egyptian environmental law. Also, TOC and COD analyses evaluated 12 recycled samples of TQDs.