bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal trends and covariates of Lyme borreliosis incidence in Poland, 2010–2019
Authors: Kulisz Joanna , Hoeks Selwyn , Kunc-Kozioł Renata , Woźniak Aneta , Zając Zbigniew , Schipper Aafke M. , Cabezas-Cruz Alejandro , Huijbregts Mark A. J. 
Published: May 2024

AbstractLyme borreliosis (LB) is the most commonly diagnosed tick-borne disease in the northern hemisphere. Since an efficient vaccine is not yet available, prevention of transmission is essential. This, in turn, requires a thorough comprehension of the spatiotemporal dynamics of LB transmission as well as underlying drivers. This study aims to identify spatiotemporal trends and unravel environmental and socio-economic covariates of LB incidence in Poland, using consistent monitoring data from 2010 through 2019 obtained for 320 (aggregated) districts. Using yearly LB incidence values, we identified an overall increase in LB incidence from 2010 to 2019. Additionally, we observed a large variation of LB incidences between the Polish districts, with the highest risks of LB in the eastern districts. We applied spatiotemporal Bayesian models in an all-subsets modeling framework to evaluate potential associations between LB incidence and various potentially relevant environmental and socio-economic variables, including climatic conditions as well as characteristics of the vegetation and the density of tick host species. The best-supported spatiotemporal model identified positive relationships between LB incidence and forest cover, the share of parks and green areas, minimum monthly temperature, mean monthly precipitation, and gross primary productivity. A negative relationship was found with human population density. The findings of our study indicate that LB incidence in Poland might increase as a result of ongoing climate change, notably increases in minimum monthly temperature. Our results may aid in the development of targeted prevention strategies.
A three-dimensional algorithm for precise measurement of human auricle parameters
Authors: Lin Yangyang , Dobbe Johannes G. G. , Lachkar Nadia , Ronde Elsa M. , Smit Theo H. , Breugem Corstiaan C. , Streekstra Geert J. 
Published: May 2024

AbstractMeasurement of auricle parameters for planning and post-operative evaluation presents substantial challenges due to the complex 3D structure of the human auricle. Traditional measurement methods rely on manual techniques, resulting in limited precision. This study introduces a novel automated surface-based three-dimensional measurement method for quantifying human auricle parameters. The method was applied to virtual auricles reconstructed from Computed Tomography (CT) scans of a cadaver head and subsequent measurement of important clinically relevant aesthetical auricular parameters (length, width, protrusion, position, auriculocephalic angle, and inclination angle). Reference measurements were done manually (using a caliper and using a 3D landmarking method) and measurement precision was compared to the automated method. The CT scans were performed using both a contemporary high-end and a low-end CT scanner. Scans were conducted at a standard scanning dose, and at half the dose. The automatic method demonstrated significantly higher precision in measuring auricle parameters compared to manual methods. Compared to traditional manual measurements, precision improved for auricle length (9×), width (5×), protrusion (5×), Auriculocephalic Angle (5–54×) and posteroanterior position (23×). Concerning parameters without comparison with a manual method, the precision level of supero-inferior position was 0.489 mm; and the precisions of the inclination angle measurements were 1.365 mm and 0.237 mm for the two automated methods investigated. Improved precision of measuring auricle parameters was associated with using the high-end scanner. A higher dose was only associated with a higher precision for the left auricle length. The findings of this study emphasize the advantage of automated surface-based auricle measurements, showcasing improved precision compared to traditional methods. This novel algorithm has the potential to enhance auricle reconstruction and other applications in plastic surgery, offering a promising avenue for future research and clinical application.
Analysis of healthcare data security with DWT-HD-SVD based-algorithm invisible watermarking against multi-size watermarks
Authors: Chaudhary Himanshi , Vishwakarma Virendra P. 
Published: May 2024

AbstractIn the modern day, multimedia and digital resources play a crucial role in demystifying complex topics and improving communication. Additionally, images, videos, and documents speed data administration, fostering both individual and organizational efficiency. Healthcare providers use tools like X-rays, MRIs, and CT scans to improve diagnostic and therapeutic capacities, highlighting the importance of these tools in contemporary communication, data processing, and healthcare. Protecting medical data becomes essential for maintaining patient confidentiality and service dependability in a time when digital assets are crucial to the healthcare industry. In order to overcome this issue, this study analyses the DWT-HD-SVD algorithm-based invisible watermarking in medical data. The main goal is to verify medical data by looking at a DWT-based hybrid technique used on X-ray images with various watermark sizes (256*256, 128*128, 64*64). The algorithm’s imperceptibility and robustness are examined using metrics like Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) and are analyzed using Normalized Connection (NC), Bit Error Rate (BER), and Bit Error Rate (BCR) in order to evaluate its resistance to various attacks. The results show that the method works better with smaller watermark sizes than it does with larger ones.
Effects of cooking with solid fuel on hearing loss in Chinese adults—Based on two cohort studies
Authors: Mao Xue-yun , Zheng Miao , Wang Jun-ping , Kou Shou , Wang Wei-hao , Lin Jun-jie , Chen Ru-cheng , Sun Qing-hua , Zheng Wei-jun 
Published: May 2024

AbstractThe association between cooking fuel and hearing loss still needs more research to clarify, and two longitudinal cohort studies were explored to find if solid fuel use for cooking affected hearing in Chinese adults. The data from Chinese Health and Retirement Longitudinal Survey (CHARLS) and Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed. Participants (older than 18) without hearing loss at baseline and follow-up visits were included, which were divided into clean fuel and solid fuel groups. Hearing loss rate was from follow-up visits (both in year 2011) until the recent one (year 2018 in CHARLS and 2019 in CLHLS). Cox regressions were applied to examine the associations with adjustment for potential confounders. Fixed-effect meta-analysis was used to pool the results. A total of 9049 participants (average age 8.34 ± 9.12 [mean ± SD] years; 4247 [46.93%] males) were included in CHARLS cohort study and 2265 participants (average age, 78.75 ± 9.23 [mean ± SD] years; 1148 [49.32%] males) in CLHLS cohort study. There were 1518 (16.78%) participants in CHARLS cohort and 451 (19.91%) participants in CLHLS cohort who developed hearing loss. The group of using solid fuel for cooking had a higher risk of hearing loss (CHARLS: HR, 1.16; 95% CI 1.03–1.30; CLHLS: HR, 1.43; 95% CI 1.11–1.84) compared with the one of using clean fuel. Pooled hazard ratio showed the incidence of hearing loss in the solid fuel users was 1.17 (1.03, 1.29) times higher than that of clean fuel users. Hearing loss was associated with solid fuel use and older people were at higher risk. It is advised to replace solid fuel by clean fuel that may promote health equity.
Effect of plant-soil system on the restoration of community stability after wildfire in the northeast margin of Qinghai-Tibet plateau
Authors: Li Zizhen , Wei Jia , He Wanpeng , Cao Xueping , Zhou Xiaolei , Tian Qing 
Published: May 2024

AbstractWildfires, as an environmental filter, are pivotal ecological disturbances that reshape plant communities and soil dynamics, playing a crucial role in regulating biogeographic patterns and ecosystem services. In this study, we aim to explore the effects of wildfires on forest ecosystems, specifically focusing on the plant-soil feedback mechanisms within the northeastern margin of the Qinghai-Tibet Plateau (QTP). Utilizing Partial Least Squares Path Modeling (PLS-PM), we investigated the interrelationships among soil physicochemical properties, enzyme activities, species diversity, and community stability at varying post-fire recovery stages (5, 15, and 23 years). Results indicated that in the early recovery stages, rapid changes in soil properties such as decreased pH (p < 0.001) and increased nutrient availability facilitate the emergence of early successional species with high resource utilization traits. As the ecosystem evolved toward a climax community, the soil and vegetation exhibit increased stability. Furthermore, soil enzyme activities displayed dynamic patterns that corresponded with changes in soil nutrient content, directly influencing the regeneration and diversity of plant communities. Importantly, our study documented a transition in the influence of soil properties on community stability from direct positive effects in initial recovery phases to negative impacts in later stages, while indirect benefits accrue through increased species diversity and enzyme activity. Vegetation composition and structure changed dynamically with recovery time during community succession. Plant nutrient absorption and accumulation affected nutrient dynamics in the soil, influencing plant regeneration, distribution, and diversity. Our results underscore the complex interactions between soil and vegetation that drive the recovery dynamics post-wildfire, highlighting the resilience of forest ecosystems to fire disturbances. This study contributes to the understanding of post-fire recovery processes and offers valuable insights for the management and restoration of fire-affected forest ecosystems.
Analysis of landscape pattern vulnerability in Dasi river basin at the optimal scale
Authors: Wang Haocheng , Wang Lin , Liu Xia , Wei Baoli 
Published: May 2024

AbstractSince the reform and opening up in 1978, the Dasi River Basin within Jinan’s startup area from replacing old growth drivers with new ones (startup area) has experienced rapid urbanization and industrialization, and the landscape pattern has changed significantly, resulting in a series of eco-environmental problems. In order to more accurately identify the vulnerable areas of landscape pattern, understand their cause mechanism and changing laws, and provide a theoretical basis for the implementation of sustainable landscape pattern planning and management in the region. Four Landsat images of 2002, 2009, 2015 and 2020 were taken as data sources, and the optimal granularity of landscape pattern analysis was determined from the perspective of landscape level and class level by using the coefficient of variation method, granularity effect curve and information loss model, and the optimal amplitude was determined by using the grid method and semi-variance function. Then, the landscape vulnerability assessment model was constructed based on the optimal scale, and its spatiotemporal evolution characteristics and spatial autocorrelation were analyzed. The result showed that: (1) The optimal granularity of landscape pattern analysis in this study area was 80 m, and the optimal amplitude was 350 × 350 m. (2) During 2002–2020, the overall vulnerability of landscape pattern in the southern part of the study area showed an increasing trend, while that in the middle and northern parts showed a decreasing trend. (3) The mean values of the vulnerability index of the overall landscape pattern in 2002, 2009, 2015 and 2020 were 0.1479, 0.1483, 0.1562 and 0.1625, respectively, showing an increasing trend year by year. In terms of land use, during 2002–2020, the average vulnerability indices of forestland and built up land increased by 23.18% and 21.43%, respectively, followed by water body and bare land, increased by 12.18% and 9.52%, respectively, while the changes of cropland and grassland were relatively small, increasing by 5.36% and 5.65%, respectively. (4) During 2002–2020, the landscape pattern vulnerability showed a significant spatial positive correlation in terms of spatial distribution. The Low-Low areas were generally transferred from the southeastern and midwestern to the middle and northern, and the High–High areas were mainly transferred from the middle to the southern. Overall, the degree of the spatial agglomeration of the landscape pattern vulnerability showed an increasing trend.
Robust optimal tracking control of multiple autonomous underwater vehicles subject to uncertain disturbances
Authors: Huang Guan , Zhang Zhuo , Yan Weisheng , Cui Rongxin , Zhang Shouxu , Guo Xinxin 
Published: May 2024

AbstractThis paper considers the problem of robust optimal tracking control of multiple autonomous underwater Vehicles (AUVs) subject to uncertain external disturbances. First, the Takagi‐Sugeno (T‐S) fuzzy based technique is utilized to convert the high‐order nonlinear multi‐AUV system into a series of linearized subsystems. Second, a novel fully distributed sliding mode control (FDSMC) strategy is proposed to attenuate the disturbances. Meanwhile, the leader‐following consensus and the nearly optimization of the energy‐cost function for the multi‐AUV system can be achieved simultaneously through the designed optimal nominal control protocol. Moreover, the proposed control strategy has more mild constraints on the communication topologies. Finally, the effectiveness of the proposed FDSMC strategy is verified by numerical simulation studies.
Original Research: Addressing Nurse Burnout: The Relationship Between Burnout and Physical Activity
Authors: Guerrero Kerrie , Fleming Sarah , Calderon Alexa , Fontenot Nicole 
Published: May 2024

ABSTRACT

Background:
During the COVID-19 pandemic, nurses have faced innumerable challenges, which have contributed to staggering increases in burnout rates. In the health care arena, burnout has been associated with the onset or exacerbation of physical illness, neglect of self-care, fatigue, decreased patient satisfaction, higher medication error rates, lack of nurse engagement, and increased nurse turnover.

Purpose:
This cross-sectional study sought to determine whether a correlation exists between self-reported physical activity and nurses' perception of burnout in a sample of hospital RNs. The secondary aim was to determine whether a correlation exists between the level of perceived burnout and the number of medication errors or near misses.

Methods:
Participants were asked to provide demographic information, complete the Copenhagen Burnout Inventory (CBI) and the Godin Leisure-Time Exercise Questionnaire (GLTEQ), and self-report the number of medication errors or near misses they were involved in during the previous 12 months. Data were analyzed using Stata version 17 software.

Results:
A total of 216 participants returned usable surveys. Regarding the relationship between burnout and physical activity levels, data analysis was performed for the 210 participants who completed both the CBI and the GLTEQ. Compared with the least physically active nurses, the most active nurses had significantly lower CBI scores, with 68.5% of those reporting low or no burnout also scoring 24 or more on the GLTEQ. The least physically active nurses had significantly higher CBI scores, with 47.6% of those reporting high burnout also scoring 13 or less on the GLTEQ. Moreover, 90% of the nurses with high burnout levels had directly cared for COVID-19 patients at some point between 2020 and 2022. Medical–surgical nurses experienced significantly higher levels of burnout compared with nurses working in other service areas. No significant relationship was found between the number of medication errors or near misses and burnout levels.

Conclusions:
This study found that the most physically active nurses reported lower levels of burnout, while the highest levels of burnout were found in the least active nurses. Although COVID-19 infection rates have eased, many nurses, particularly those who have cared for COVID-19 patients and those who work in medical–surgical environments, continue to experience burnout. Targeted programs to reduce work-related burnout, as well as organizational sponsorship of and unit-level support for such programs, are urgently needed. This study's findings suggest that promotion of physical activity may be an essential component to alleviating burnout.
Accuracy and Precision of Three Acceleromyographs, Three Electromyographs, and a Mechanomyograph Measuring the Train-of-four Ratio in the Absence of Neuromuscular Blocking Drugs
Authors: Wedemeyer Zain , Michaelsen Kelly E. , Jelacic Srdjan , Silliman Willis , Lopez Aidan , Togashi Kei , Bowdle Andrew 
Published: May 2024

Background
The accuracy and precision of currently available, widely used acceleromyograph and electromyograph neuromuscular blockade monitors have not been well studied. In addition, the normalization of the train-of-four ratio from acceleromyography (train-of-four ratio [T4/T1] divided by the baseline train-of-four ratio) has not been validated in comparison to mechanomyography.

Methods
Enrolled patients had surgery under general anesthesia with a supraglottic airway and without any neuromuscular blocking drugs. Three acceleromyograph monitors, three electromyograph monitors, and a mechanomyograph built in the authors’ laboratory were tested. Most patients had an electromyograph and the mechanomyograph on one arm and a third monitor on the contralateral arm. Train-of-four ratios were collected every 12 to 20 s for the duration of the anesthetic. At least 1,000 train-of-four ratios were recorded for each device. Gauge repeatability and reproducibility analysis was performed.

Results
Twenty-eight patients were enrolled. In total, 9,498 train-of-four ratio measurements were collected. Since no neuromuscular blocking drugs were used, the expected train-of-four ratio was 1.0. All of the acceleromyograph monitors produced overshoot in the train-of-four ratio (estimated means, 1.10 to 1.13) and substantial variability (gauge SDs, 0.07 to 0.18). Normalization of the train-of-four ratio measured by acceleromyography improved the estimated mean for each device (0.97 to 1.0), but the variability was not improved (gauge SDs, 0.06 to 0.17). The electromyograph and the mechanomyograph monitors produced minimal overshoot (estimated means, 0.99 to 1.01) and substantially less variation (gauge SDs, 0.01 to 0.02). For electromyography and mechanomyography, 0.3% of all train-of-four ratios were outside of the range 0.9 to 1.1. For acceleromyography, 27 to 51% of normalized train-of-four ratios were outside the range of 0.9 to 1.1.

Conclusions
Three currently available acceleromyograph monitors produced overshoot and substantial variability that could be clinically significant. Normalization corrected the overshoot in the average results but did not reduce the wide variability. Three electromyograph monitors measured the train-of-four ratio with minimal overshoot and variability, similar to a mechanomyograph.

Editor’s Perspective

What We Already Know about This Topic

What This Article Tells Us That Is New
Effects of CYP3A5*3 genetic polymorphisms on the pharmacokinetics of perampanel in Chinese pediatric patients with epilepsy
Authors: Zhao Ting , Feng Ji-Rong , Zhang Hui-Lan , Yu Jing , Feng Jie , Sun Ke-Fang , Yu Lu-Hai , Sun Yan , Li Hong-Jian 
Published: May 2024

Purpose
This study was the first to evaluate the effect of CYP3A5*3 gene polymorphisms on plasma concentration of perampanel (PER) in Chinese pediatric patients with epilepsy.

Methods
We enrolled 98 patients for this investigation. Plasma PER concentrations were measured using liquid chromatography-tandem mass spectrometry. Leftover samples from standard therapeutic drug monitoring were allocated for genotyping analysis. The primary measure of efficacy was the rate of seizure reduction with PER treatment at the final checkup.

Results
The plasma concentration showed a linear correlation with the daily dose taken (r = 0.17; P < 0.05). The ineffective group showed a significantly lower plasma concentration of PER (490.5 ± 297.1 vs. 633.8 ± 305.5 μg/ml; P = 0.019). For the mean concentration-to-dose (C/D) ratio, the ineffective group showed a significantly lower C/D ratio of PER (3.2 ± 1.7 vs. 3.8 ± 2.0; P = 0.040). The CYP3A5*3 CC genotype exhibited the highest average plasma concentration of PER at 562.8 ± 293.9 ng/ml, in contrast to the CT and TT genotypes at 421.1 ± 165.6 ng/ml and 260.0 ± 36.1 ng/ml. The mean plasma PER concentration was significantly higher in the adverse events group (540.8 ± 285.6 vs. 433.0 ± 227.2 ng/ml; P = 0.042).

Conclusion
The CYP3A5*3 gene’s genetic polymorphisms influence plasma concentrations of PER in Chinese pediatric patients with epilepsy. Given that both efficacy and potential toxicity are closely tied to plasma PER levels, the CYP3A5*3 genetic genotype should be factored in when prescribing PER to patients with epilepsy.
Liver histology is associated with long-term clinical outcomes in patients with metabolic dysfunction–associated steatohepatitis
Authors: Younossi Zobair M. , Mangla Kamal Kant , Berentzen Tina Landsvig , Grau Katrine , Kjær Mette Skalshøi , Ladelund Steen , Nitze Louise Maymann , Coolbaugh Crystal , Hsu Chih-Yuan , Hagström Hannes 
Published: May 2024

Background:
Few studies have examined the risk of long-term clinical outcomes in patients with metabolic dysfunction–associated steatohepatitis in relation to liver histology. We aimed to study this using a real-world cohort.

Methods:
Adults (N = 702) recorded on Vanderbilt University Medical Center’s Synthetic Derivative database (1984–2021) with evidence of metabolic dysfunction–associated steatohepatitis on liver biopsy were followed from the first biopsy until the first clinical event or last database entry (median: 4.7 y). Risks of cirrhosis (N = 650), other noncirrhotic liver-related (N = 702) and cardiovascular-related outcomes (N = 660), and mortality due to liver, cardiovascular, or cancer events (N = 660) were determined as a function of baseline histology (fibrosis stage [F], lobular inflammation grade [LI], hepatocyte ballooning grade [HB], and steatosis score) adjusting for sex, age, diabetes, and weight-loss surgery.

Results:
Cirrhosis risk was reduced for lower versus higher fibrosis stage (HR: F0–1 vs. F3: 0.22 [95% CI: 0.12–0.42]), LI1 versus LI2–3 (0.42 [0.19–0.97]), and HB1 versus HB2 (0.20 [0.08–0.50]). Lower fibrosis stage was associated with significantly lower risks of liver-related outcomes versus F4 cirrhosis (eg, F0–1: 0.12 [0.05–0.25]), whereas no differences were seen across baseline lobular inflammation, hepatocyte ballooning, and steatosis grades/scores. Lower versus higher lobular inflammation grade was associated with lower risks for liver-related outcomes in patients with weight-loss surgery. There was a trend for lower risks for cardiovascular-related and any long-term outcomes with lower versus higher fibrosis stage.

Conclusions:
Fibrosis stage and lobular inflammation and hepatocyte ballooning grades predict the risk of long-term outcomes, supporting the use of these histological features as potential surrogate markers of disease progression or clinical outcomes.