bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient Coaching for Deep Inspiration Breath Hold Decreases Set-up Duration and Left Anterior Descending Artery Dose for Left-sided Breast Cancer Radiotherapy
Authors: Kefeli Aysegul Ucuncu , Diremsizoglu Umut , Erdogan Sevda , Karabey Aysegul Unal , Konuk Aykut Oguz , Tırpancı Berna , Aksu Maksut Gorkem , Sarper Emine Binnaz 
Published: September 2024

Abstract

Purpose:To show the impact of patient coaching and home practice using the deep inspiration breath hold (DIBH) technique on radiation treatment set-up times and cardiac at-risk doses.
Methods:The study involved patients who received tangential field radiotherapy using the DIBH technique for treating left breast cancer. Patients were divided into two groups: the first group consisted of those who received coaching from an oncology nurse and were given an instruction sheet at least 1 week before the computed tomography (CT) simulation. The second group consisted of those who were only taught how to hold their breath by the radiation technician on the simulation day and without further education. During treatment, the patients were monitored using the Varian RPM™respiratory gating system, and 2D kV orthogonal imaging was performed daily. The setup duration of each patient was noted and compared between treatment groups. For each patient, the dose-volume histograms (DVHs) of the heart, LAD (left anterior descending artery), were calculated and compared for both coached DIBH (cDIBH) and non-coached DIBH (ncDIBH).
Results:Thirty-six coached and 28 non-coached patients were identified. Compared with ncDIBH, coached patients were older (55.5 versus 46.5, p=0.003) and had a significantly higher BMI (body mass index) (29.95 versus 26.32 kg/m2, p=0.006). Nevertheless, in more than half of the treatment fractions, the set-up duration was detected to be statistically longer in the ncDIBH group than in the cDIBH group. Additionally, the LAD max dose was significantly lower in the cDIBH group (36.5 versus 29.5, P=0.02).
Conclusion: Coaching at least 1 week before the simulation with an instruction sheet decreased the simulation time, and the cardiac LAD max dose should be further decreased by this method.
Epic Fast Pass for echocardiogram and endoscopy: an implementation report
Authors: Yin Andrew L.L. , Feigelman Andrew M. , Delgado Yahaira , Min Robert J. , Cheriff Adam D. , Gossey J. Travis , Trepp Richard , Beecy Ashley 
Published: September 2024

Abstract

Background In healthcare, access to care and efficient resource utilization are critical challenges often resulting in long wait times, even when appointment slots remain unfilled. Epic Fast Pass (EFP), an innovative feature within the Electronic Health Record (EHR), has been effectively implemented to optimize outpatient office visit scheduling, ensuring a more streamlined process that significantly reduces wait times and improves access to care.Objective We introduce a novel application of EFP that includes imaging and procedural services, specifically targeting echocardiogram and endoscopy services within the outpatient care framework. Guided by the principles of a learning health system, our expansion aims to assess the feasibility, strengths, and weaknesses of EFP in these specialized domains. Our approach involves developing tailored workflows for these types of visits and close monitoring of user behavior and outcomes. This strategy allows us to evaluate the effectiveness of the intervention and refine our processes to better meet the needs of our patients and healthcare providers.Methods We set to describe the process by which we developed the workflow and infrastructure of the implementation along with the challenges faced along the way. We collected user behavior of the implementation over the course of about 15 months for echocardiogram and 4 months for endoscopy. Using descriptive statistics and chi-square testing, we analyzed differences between patients who interacted with EFP and those who did not, providing insights into the tool's impact and effectiveness.Results EFP was successfully deployed in both echocardiogram and endoscopy outpatient service lines. 143 patients were enrolled in the echocardiogram implementation, with 1786 offers being made during the study period. 41.26% of patients accepted an offer with an average of 12.8 days acceleration in appointment date. 666 patients were enrolled in the endoscopy implementation, with 9338 appointment offers being made during the study period. 48.35% of patients accepted an offer with an average of 50.43 days improvement in appointment time. Patients who interacted with EFP did not differ by age.Conclusions The implementation of rescheduling tools for outpatient imaging and procedural appointments is both feasible and promising, with the potential to enhance patient access and optimize resource utilization in healthcare. Developing these interventions through a learning health system approach facilitates gradual advancements and broad improvements, while also supporting the individual success of each implementation. This method ensures that enhancements are continuously informed by real-world data and feedback, paving the way for more effective healthcare solutions.
Stochasticity in Dietary Restriction-Mediated Lifespan Outcomes in Drosophila
Authors: Lyu Yang , Mosley Olivia , Villa Joel , Kamalakkannan Advaitha , James Eliyashaib , Hoffman Jessica 
Published: September 2024

Abstract

Dietary restriction (DR) is widely considered to be one of the most potent approaches to extend healthy lifespan across various species, yet it has become increasingly apparent that DR-mediated longevity is influenced by biological and non-biological factors. We propose that current priorities in the field should include understanding the relative contributions of these factors to elucidate the mechanisms underlying the beneficial effects of DR. Our work conducted in two laboratories, represents an attempt to unify DR protocols in Drosophila and to investigate the stochastic effects of DR. Across 64 pairs of survival data (DR/ad libitum, or AL), we find that DR does not universally extend lifespan. Specifically, we observed that DR conferred a significant lifespan extension in only 26.7% (17/64) of pairs. Our pooled data show that the overall lifespan difference between DR and AL groups is statistically significant, but the median lifespan increase under DR (7.1%) is small. The effects of DR were overshadowed by stochastic factors and genotype. Future research efforts directed toward gaining a comprehensive understanding of DR-dependent mechanisms should focus on unraveling the interactions between genetic and environmental factors. This is essential for developing personalized healthspan-extending interventions and optimizing dietary recommendations for individual genetic profiles.
Sensory Processing Sensitivity and Internet Addiction Among College Students in the Context of COVID-19
Authors: Liu Yan , Zhao Qiannan , Xiao Meiling , Peng Cong , He Qingxia 
Published: September 2024

Abstract

Introduction
Sensory processing sensitivity is a temperamental trait that reflects environmental sensitivity. This study investigated whether psychological and behavioral responses during home isolation mediated the relationship between sensory processing sensitivity and Internet addiction during the COVID-19 pandemic. We examined whether left-behind experiences moderated the mediation model.
Method
The participants were 685 college students who completed an online survey. Data were acquired during the first COVID-19 lockdown in China. Participants completed the Highly Sensitive Person Scale, the Scale of Psychological and Behavioral Responses to Home Isolation, the Internet Addiction Test, and an item assessing left-behind experiences.
Results
Findings indicated that sensory processing sensitivity was positively related to psychological and behavioral responses to home isolation and Internet addiction and positively predicted Internet addiction. Psychological and behavioral responses during home isolation mediated the relationship between sensory processing sensitivity and Internet addiction. The left-behind experiences moderated the mediating effects of sensory processing sensitivity and Internet addiction.
Conclusion
This study contributes to the understanding of how college students experience sensory processing sensitivity and Internet addiction during an epidemic.
Frame Points Attentions Convolution for Deep Learning on Point Cloud
Authors: Li Luyang , He Ligang , Gao Jinjin , Han Xie 
Published: September 2024

Abstract

Point Cloud can be considered as non-Euclidean structure data since it is disordered and irregular. When training on point cloud, it is difficult to apply spatial discrete convolution directly. In this paper, we propose a novel three-dimensional spatial convolution operator called FPAC (Frame Points Attention Convolution). FPAC pre-defines a set of frame points in space and quantifies the correlation between the input local points and the frame points through an attention mechanism. FPAC then combines the quantified correlations with the weights of the frame points to generate spatially continuous filters. The convolution weights for different local areas in the filters are calculated dynamically. Furthermore, FPAC is reformulated to reduce the internal dimensions during training, which reduces memory consumption and significantly improves training speed. Several optimization measures are also implemented to further enhance the performance of FPAC. We built three common point cloud task networks using FPAC and conducted experiments to train these networks on widely used datasets. Experimental results show that the method proposed in this work is competitive with state-of-the-art methods for point cloud tasks.
Development and validation of a machine learning model to predict delays in seeking medical care among patients with breast cancer in China
Authors: Chen Xiao , Cheng Zhiyan , Li Yinfeng , Wu Xiaohong , Yang Qing 
Published: September 2024

Abstract

Background
Delays in seeking medical care may affect the survival rates of breast cancer patients. We aimed to explore potential risk factors for the delay in seeking medical care among breast cancer patients by constructing a highly effective machine learning (ML) prediction model.
Methods
A cross-sectional methodology was utilized, and the demographic and clinical characteristics of 540 patients with breast cancer in Sichuan Cancer Hospital from July 2022 to June 2023 were collected to develop a model. Feature selection was performed using a Lasso algorithm, and six ML algorithms, including XGB, LR, RF, CNB, SVM and KNN, were applied for model construction. The k-fold cross-validation method was used for internal verification. And ROC curves, calibration curves, DCA and external validation were used for model evaluation. The SHAP method was used to interpret the model visualization.
Results
A comprehensive analysis was conducted in a cohort of 540 patients diagnosed with breast cancer, of whom 212 patients (39.26%) experienced a delay. Lasso algorithm selected eight variables that were most suitable for model construction. The RF model demonstrated superior performance compared to the other five prediction models. The AUC values in the training set ROC, validation set ROC, and external verification ROC curves were 1.00, 0.86, and 0.76, respectively in RF model. The results of the calibration curves indicated that the calibration curves of the RF models closely resembled the ideal curves. The DCA curves exhibited a net clinical benefit in comparison to treatment for or treatment for none for all models, with the exception of CNB.
Conclusions
The machine learning algorithm utilized in this study effectively generated a prediction model for delays in seeking medical care for patients with breast cancer. The best RF model's remarkable predictive power, exhibiting a good discrimination and calibration.
Field test and numerical research on explosion crater in calcareous sand
Authors: Li Changchun , Chen Yumin , Yao Yingkang , Gou Yonggang , Wang Qiongting , Guo Junwei , Xie Xiao , Wang Xiangyu 
Published: September 2024

Abstract

The explosion in foundation poses a significant threat to people and buildings. Currently, a unified empirical prediction formula for crater in calcareous foundation has not been established. In this paper, analyzed the types and sizes of explosion crater with different scaled burial depths through field tests and numerical simulation. In field tests, revealed the influence of scaled burial depth on the type and size of explosion crater and obtained the critical scaled burial depth for three different types of explosion craters, namely ejecta-type crater, collapse-type crater and covert explosion. Through the Smooth Particle Hydrodynamic-Finite Element Method (SPH-FEM) coupling algorithm, studied the movement trajectory of sand particles around the explosive at the moment of explosion in detail. Based on the field tests and numerical simulation results, it was found that calcareous sand has a smaller specific gravity due to its own characteristics, and the size of the explosion crater is larger than that of quartz sand at the same scaled burial depth. Obtained an empirical formula for crater in calcareous sand. Which can quickly predict the size of explosion crater and provide calculation basis for explosion resistant design in calcareous sand foundations.
Research on Seismic Activity and Seismic Structural Characteristics of the Shandong Region
Authors: Lu Linhai , Liu Zhenghao , Zhang Hanwen , Wu Chaojun , Sun Jiecheng , Ma Xianfeng , Zhou Dingyi , Han Han , Zhang Haojin , Li Rui 
Published: September 2024

Abstract

This study investigates the seismic activity and structural characteristics of Shandong in China, identifying seismic belts and potential epicentral areas critical to the region's seismic safety. A comprehensive database was established, encompassing data on regional seismic activity and structural features, including seismic statistics, earthquake distribution patterns, major geotectonic movements, and recent tectonic activities. Research indicates that seismic activity in the Shandong region is unevenly distributed, with moderate to strong earthquakes primarily controlled by active fault zones and displaying a zonal distribution. Earthquakes generally occur at shallow depths within the middle to upper crust, with historically destructive earthquakes averaging depths of 19 km, while more recent minor quakes average approximately 14.9 km deep. This seismic activity covers the North China Plain and the Tan-Lu Seismic Statistical Areas. Forecasts predict continued or increased seismic activity over the next century, potentially including events up to magnitude 8.5. The region’s geology features the Luxi Fault Block and the Tan-Lu Fault Zone, marked by intermittent neotectonic movements of uplift and subsidence. The dominant horizontal tectonic stresses suggest a likelihood of strike-slip faulting.
The application of quality control circle in the management of narcotic drugs and first category psychotropic drugs
Authors: Ma Yanli , Ma Xiaobei , Yan Siyi , Duan Hongmei 
Published: September 2024

Abstract

Background: To explore the application effect of “quality control circle” (QCC) activity in the management of narcotic and first-category psychotropic drugs(anesthesia drugs) .
Methods: A QCC management group was established based on standardized methods and procedures. The theme of the group was "to improve the standardized rate of management of anesthesia drugs". The group analyzed the current situation of anesthesia drug management in a tertiary public hospital in Beijing,China.Applying the PDCA(plan-do-check-act) cycle to implement improvement measures.The standardization rate, management time, and healthcare satisfaction of anesthesia drug management were compared before and after QCC management.
Results: The standardization rate of anesthesia drug management increased from 95.83% to 99.01% after QCC, which showed that the satisfaction was higher after QCC management than before(p < 0.01). The daily time spent by the anesthesia nurses on the management of anesthesia drugs was also significantly reduced from 72.68±15.41 min to 51.74±6.92 min(p < 0.01).
Conclusion:The application of QCC management had not only increases the standardization rate of anesthesia drug management but also improved the job satisfaction and reduce the management time of anesthetia drugs.
Effects of sodium butyrate and poly-β-hydroxybutyrate on the intestinal resistance and recovery from ammonia nitrogen stress in grass carp (Ctenopharyngodon idella)
Authors: Wang Yingying , Ou-Yang Kang , He Ya , Yang Hui , Wang Liangmou , Li Dapeng , Li Li 
Published: September 2024

Abstract

To study the effects of dietary butyrate supplementation on the resistance and recovery from ammonia nitrogen stress in the intestine, grass carp (Ctenopharyngodon idella) were administered four distinct diets for 56 days: control diet (CK group), 600 mg butyrate /kg powdered sodium butyrate (PSB group), microencapsulated sodium butyrate (MSB group) and poly-β-hydroxybutyrate (PHB group). After feeding, the fish were exposed to ammonia nitrogen (10.47 ± 0.67 mg/L) for 96 hours, followed by a 15- day recovery in pristine water. Our results revealed that dietary PSB, MSB and PHB primarily increased intestinal crypt depth and goblet cell count, and PHB also elevated the ratio of villus area to intestinal area. Moreover, three additions significantly increased the levels of acid phosphatase (ACP), lysozyme (LZM), total superoxide dismutase (T-SOD), total antioxidant capacity (T-AOC) and β defensin (β-DF) of the intestine. Meanwhile, these supplements significantly decreased the intestinal contents of interleukin-1β (IL-1β) and malondialdehyde (MDA). In acute ammonia nitrogen stress and recovery experiment, the addition of PSB, MSB and PHB decreased lipid peroxides (MDA) and enhanced antioxidant capacity (T-SOD and T-AOC), thereby effectively mitigating ammonia-induced oxidative stress. These additives further enhanced intestinal non-specific immunity, as evidenced by the increased levels of ACP, LZM and β-DF, and simultaneously alleviated inflammatory response (IL-1β) induced by ammonia nitrogen. Furthermore, the integrated biomarker response analysis revealed that MSB group exhibited a superior effect. In conclusion, dietary supplementation of 600 mg/kg butyrate demonstrated an enhanced ability to mitigated ammonia nitrogen stress and recovery in the intestine of grass carp.
Multiscale hierarchy denoising method for heritage building point cloud model noise removal
Authors: Liu Sha , Mamat Mohd Jaki Bin , Huang Yue , Dong Miao , Liu Qi 
Published: September 2024

Abstract

In recent years, there has been a growing interest in the three-dimensional data documentation of heritage buildings. The collection of detailed and accurate 3D point cloud information through the acquisition of heritage building data has facilitated various applications. These applications encompass historical architectural information retrieval, preservation and monitoring, augmented reality and virtual reality, as well as the generation of Heritage Building Information Models (HBIM). Point cloud originates from 3D scanners, human-computer interaction, and other devices exposed to unnecessary environments. In this context, point cloud will inevitably be influenced by noise and outliers. Factors contributing to noise include the limitations of sensors, the defect of device, and the characteristics of illumination or reflection of the studied objects. Thus, dealing with noise and outliers presents a challenge when storing point cloud data. Denoising is a critical step in data processing for point cloud when applied to heritage architecture. The accuracy of the point cloud model in heritage architecture is highly dependent on noise and outliers. This study proposes Multiscale Hierarchy Denoising method, whose process is as follows. First, divide the point cloud model of heritage architecture according to the architectural structure. Then, use the DBSCAN algorithm to carry out large-scale point cloud denoising. For small-scale noise, its denoising is achieved on a macroscopic basis by systematically removing noise and outliers from the heritage architectural point cloud model, using statistical filtering and bilateral filtering techniques. This process can improve the quality and accuracy of point cloud data related to heritage building.
A retrospective longitudinal study of students' residency choices at the French medical ranking exam.
Authors: Coste Arthur , Morland David , Becker Jean Marie , Nazeyrollas Pierre , Deguelte Sophie , Weirauch Nathalie Bednarek , Quinquenel Anne , Hentzien Maxime 
Published: September 2024

Abstract

Background
The evolution of medical students population and their choices of medical residency is poorly documented in France. The objective of this study was to perform a retrospective analysis of medical students residency choices at their national ranking exam (NRE) once they have completed six years of theoretical and practical medical training.
Methods
Published choices after the French NRE were processed from 2011 to 2023. A longitudinal follow-up of the median rank of affected students for each medical speciality and each training university hospitals is presented. Demographics and gender statistics are also presented. Violin plots, heatmaps and bump charts were used for a better analysis. Mann-Kendall test was used for trend analysis.
Results
We analyzed choices of more than 100,000 students and show that men were more likely to have a better ranking, though with a non homogeneous distribution compared to women who were more homogeneously distributed. We also proved that younger students better performed at the exam. We observed an unprecedented increased attractiveness of medical gynecology (+14 places, p=0.007) as well as anesthesiology and resucitation (+13 places, p=0.008).Vascular medicine (+4 places, p=0.014), otorhinolaryngology (+2 places, p=0.041) and dermatology (+5 places, p=0.019) also significantly gained attractivity over the study period contrary to neurosurgery (-23 places, p=0.023) and infectious diseases (-8 places, p=0.048). Medical schools of Rennes (+7 places, p=0.005) and Caen (+3 places, p=0.048) have been gaining interest over the whole period while Grenoble (-5 places, p=0.013), Paris (-5 places, p=0.0083) and Limoges (-4 places, p=0.006) have been significantly loosing attractivity.
Conclusion
This work provides an overview of choices trends at the French medical NRE and illustrates for the first time the evolution of medical students’ demography and residency choices over a thirteen-year period.