bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary study on the treatment of acute angle-closure glaucoma with high-intensity focused ultrasound cycloplasty
Authors: Wang Wei , Wang Chunmiao , Zhou Yi , Yan Shuxi , Li Xiangji , Xie Lin 
Published: January 2025

Abstract

High-intensity focused ultrasound cycloplasty (UCP) can effectively reduce intraocular pressure in glaucoma patients. This work aimed to analyze the efficacy, safety, and mechanism of UCP in treating acute angle-closure glaucoma. We collected and retrospectively analyzed the preoperative and postoperative clinical data of 16 cases (16 eyes) with acute angle-closure glaucoma, including the number of sectors activated, intraocular pressure (IOP), central anterior chamber depth (ACD), lens zonule length (LZL), ciliary muscle thickness (CMT), and trabecular-ciliary process angle (TCA). Of the 16 eyes, one received a single UCP procedure with 8 sectors and the others with 10 sectors. The mean IOP at follow-up time points after UCP was significantly lower than before UCP. The mean ACD at follow-up time points after UCP was significantly higher than before UCP. The mean LZL in the superior, inferior, nasal, and temporal quadrants on postoperative day 1, week 1, and month 1 was significantly shorter than those before UCP. The mean CMT in the superior, inferior, and nasal quadrants on postoperative day 1 and in the superior and inferior quadrants on postoperative week 1 were significantly larger than those before UCP. The mean TCA in the temporal quadrant on postoperative month 3 was significantly smaller than that before UCP. In conclusion, UCP is safe and effective in treating acute angle-closure glaucoma. The special mechanism of lowering IOP after UCP may be attributed to the increased depth of the central anterior chamber and the reopening of some non-adhesive closed angles.
Examination of the Occurrence of Dental Caries and Contributing Factors in School-Aged Left-Behind Children in Rural Regions of Western China
Authors: Duan Ran , Xiao Yang , Tang luoyan , Tan Yujing , Jiang Junjun , Li Hua , li Qiuzhong 
Published: January 2025

Abstract

Purpose
Gaining insight into the dental caries conditions and contributing factors affecting school-aged left-behind children in rural China lays the groundwork and offers theoretical backing for future studies focused on preventing and treating dental caries in these children, as well as for early interventions in their oral health.
Method
A cluster random stratified sampling approach was utilized to carry out oral health assessments and survey questionnaires among 1,613 school-aged children, both left-behind and non-left-behind, in rural western China. The research aimed to compare the rates of dental caries between these two groups of children and used chi-square tests and logistic regression analysis to investigate the factors that affect the development of dental caries in children.
Result
The research findings indicate that the overall rate of dental caries in the studied population is 93.37%. Specifically, the prevalence among left-behind children is 94.97%, compared to 91.73% for non-left-behind children. This difference is statistically significant, with left-behind children showing a notably higher rate of dental caries (χ2 = 6.83, P = 0.009). The total filling rate stands at 8.76%, with left-behind children having a rate of 7.36% and non-left-behind children at 10.25%. A comparison of the filling rates between these two groups reveals a statistically significant difference (χ2 = 3.906, P = 0.048). The overall sealant rate is 3.72%, with left-behind children at 2.09% and non-left-behind children at 5.39%. Similarly, the comparison of sealant rates between the two groups also indicates a statistically significant difference (χ2 = 12.279, P < 0.001).The findings from the multi-factor logistic analysis indicate that being female (OR = 2.933, 95% CI: 1.253–6.862) and not using fluoride toothpaste (OR = 3.416, 95% CI: 1.062–10.992) are associated with an increased risk of dental caries in left-behind children (P < 0.05). Conversely, irregular fluoride use (OR = 0.334, 95% CI: 0.132–0.847), regular fluoride use (OR = 0.032, 95% CI: 0.010–0.097), and maintaining a consistent brushing schedule (OR = 0.195, 95% CI: 0.045–0.836) serve as protective factors against dental caries in this population (P < 0.05).
Conclusion
In rural western China, left-behind children experience a notably high rate of dental caries, and the current prevention and control measures are inadequate. The rates of cavity fillings and the application of pit and fissure sealants are low, highlighting the urgent need to improve dental caries prevention among these children. It is essential to create targeted intervention strategies, conduct regular oral health check-ups for children, and educate caregivers about oral health. These efforts will aid children in developing proper oral hygiene practices, increase their awareness of oral health, and ultimately decrease the prevalence of dental caries.
Construction of A Clinical Prediction Model for Overall Survival and Cancer-Specific Survival in Malignant Phyllode Tumor of the Breast Based on the SEER Database
Authors: Pan Chenggeng , Han Ruokuo , Xia Senzhe , Fan Dingwei , Yang Daqing , Ma Haiguang 
Published: January 2025

Abstract

Objective
Malignant Phyllodes Tumor of the Breast (MPTB) represents a distinct breast tumor subtype associated with a poor prognosis. The objective of this research was to create and verify a nomogram to predict both overall survival (OS) and breast cancer-specific survival (BCSS) for individuals with a diagnosis of MPTB.
Methods
From the Surveillance, Epidemiology, and End Results (SEER) database, clinicopathological data of MPTB patients diagnosed between 2000 and 2020 were collected. We performed logistic regression analyses to determine the independent factors that predict both OS and BCSS. Subsequently, a nomogram was developed integrating these significant predictors. Model performance was assessed using metrics such as the calibration curve, area under receiver operating characteristic curve (AUC), and decision curve analysis (DCA). Based on the nomogram scores, patients were categorized into low-risk and high-risk groups, and survival differences were then assessed through the log-rank test and Kaplan-Meier curves.
Results
The study encompassed 1692 MPTB patients, randomly allocated into a training cohort (N = 1188, 70%,) and a validation cohort (N = 504, 30%). Eight independent predictors for OS were identified through univariate and multivariate analyses: age, marital status, income, stage, tumor stage, nodal stage, surgery, and chemotherapy. Additionally, six independent predictors for BCSS were identified through the same analytical approach: age, stage, tumor stage, nodal stage, surgery, and chemotherapy. Nomograms were constructed based on these variables to forecast OS and BCSS rates for patients with MPTB. Evaluation of the model's discriminative ability using AUC demonstrated satisfactory predictive performance for OS and BCSS in both cohorts. Strong concordance between the probabilities observed and those predicted was indicated by the calibration curve. Furthermore, DCA underscored the clinical utility of the nomogram.
Conclusions
In this investigation, a nomogram was effectively constructed and internally confirmed to forecast OS and BCSS among individuals with MPTB. This predictive tool provides clinicians with essential prognostic information to guide their clinical decision-making processes.
A nomogram to predict respiratory failure development in severe fever with thrombocytopenia syndrome patients with pneumonia
Authors: Zhang Zhongwei , Hu Xue , Jiang Qunqun , Du Qian , Chen Qianhui , Chen Xiaoping , Luo Mingqi , Deng Liping , Xiong Yong 
Published: January 2025

Abstract

Pneumonia is common in patients with severe fever with thrombocytopenia syndrome (SFTS), and respiratory failure is one of its most severe complications. The aim of this study was to establish a nomogram for predicting respiratory failure development in SFTS patients with pneumonia. Data of demographics, comorbidities, clinical manifestations, laboratory parameters, complications, and outcomes of SFTS patients with pneumonia were collected. Independent predictors of respiratory failure development on multivariate logistic regression were used to construct the predictive model. Of the 167 SFTS patients with pneumonia we studied, 45 (26.9%) patients developed respiratory failure. Patients who developed respiratory failure had a higher incidence of invasive pulmonary aspergillosis, nosocomial infections, myocarditis, stage 2 or 3 acute kidney injury (AKI), rhabdomyolysis, shock, and systemic inflammatory response syndrome (SIRS). Among them, 35 patients died and all non-respiratory failure patients survived. On multivariate regression analysis, neurological manifestations, nosocomial infections, stage 2 or 3 AKI, SIRS, serum levels of albumin, and CKMB were proven to be independent predictors for respiratory failure development, which were adopted as parameters of the nomogram. The nomogram showed good calibration and discrimination, with an area under the receiver operating characteristic curve of 0.932 (95% CI 0.888–0.975). Decision curve analysis confirmed the clinical utility of the predictive model. Respiratory failure is associated with adverse outcomes including severe complications and death in SFTS patients with pneumonia. Clinicians could apply the nomogram to identify the high-risk pneumonic patients for developing respiratory failure.
Assessment of the public health literacy based on the preferences of the general population of the Kingdom of Saudi Arabia, A strategy to improve public health
Authors: Naggar Marwa Ahmed El , Allehaibi Nouf Abdulelah , Alsulami Hani Hathath , Alruwaili Majidah Ghati , Alruwaili Khulud Saud Baqi , Alsadun Razan Saud , Bayyumi Duaa Fahad , Alotaibi May Saud , Alruwaili Ohoud Saud Bagi 
Published: January 2025

Abstract

Background: Public health literacy plays a vital role in empowering individuals to make informed health decisions and effectively navigate healthcare systems.
Aim: This study aims to assess the public's interest in health literacy topics and identify preferred sources and methods for disseminating health information in Saudi Arabia.
Methods: Questionnaire Star was used to conduct a large sample of random online surveys and distributed in all provinces in KSA, 603 questionnaires were issued, 10 invalid questionnaires were eliminated, and 565 were recovered, with an effective rate of 93.70%. IBM SPSS Statistics 28 was utilised to analyse the survey data. A cross-sectional survey was conducted, predominantly among highly educated and middle-aged people.
Results: The findings revealed that participants expressed the greatest need for health literacy in areas such as nutrition and fitness (4.04 points), first aid knowledge (3.83 points), and psychological health (3.7 points), while there was lower demand for medical technology (3.05 points) and cosmetic surgery (2.51 points). The study found that 56.1% of participants considered medical institutions as the primary source for health information, followed by public health literacy service providers (41.6%), media (26%), and community organizations (13.1%). Preferred channels for obtaining health literacy were phone calls and social media, community education/engagement and billboards. The study also revealed that digital platforms, particularly TikTok (51.9%), Facebook (45.7%), and search engines (44.9%), were commonly used for accessing health information, especially among younger participants.
Conclusions: This exploratory study underscores the critical role of health sectors in enhancing public health literacy through targeted, evidence-based approaches. By understanding and addressing the diverse needs and preferences of the population, health education can be more effectively tailored to improve public health outcomes across various demographic groups.
Impact of Periampullary Diverticulum Types on Post-ERCP Hyperamylasemia: A Retrospective Observational Study
Authors: Akca Serdar , Atar Galip Egemen , Ocal Serkan , Buldukoglu Osman Cagin , Koker Gokhan , Isik Muhammed Devran , Kaya Besir , Deniz Hatice , Harmandar Ferda Akbay , Cekin Ayhan Hilmi 
Published: January 2025

Abstract

Background
This study aimed to assess the incidence of periampullary diverticulum (PAD) among endoscopic retrograde cholangiopancreatography (ERCP) patients in Southwestern Turkey and investigate the association between the new PAD classification, post-ERCP hyperamylasemia, and post-ERCP pancreatitis (PEP).
Materials and Methods
We retrospectively reviewed 1,317 ERCP procedures performed between January 1, 2022, and December 31, 2023, at Antalya Training and Research Hospital. The PAD type was determined according to the He-xian Shi classification. Hyperamylasemia was defined as an increase of three times the normal level of amylase at 4-6 h, and PEP was defined as hyperamylasemia along with abdominal pain lasting more than 24 hours.
Results
A total of 594 naive patients who underwent ERCP were analyzed. PAD was present in 137 patients (23.1%), and the success rate of choledochal cannulation in the first ERCP procedure was 94.3%. There was no difference in the choledochal cannulation rate between patients with and without PAD (95.6%-93.9%, p=0.53). Asymptomatic hyperamylasemia was observed in 19.0% of the patients. Post-ERCP hyperamylasemia rates were similar between patients with and without PAD (16.1%-19.9%, p=0.38). PEP was observed in 8.8% of the patients. PAD was not a risk factor for post-ERCP pancreatitis (7.3% vs. 9.2%, p=0.60). When we checked the results according to the type of PAD, the prevalence of post-ERCP hyperamylasemia was significantly lower in patients with type 2b PAD than in those with PAD of other types and in patients without PAD.
Conclusion
PAD is a common finding in ERCP patients, with an incidence of 23.1% in our cohort. The rate of choledochal cannulation, post ERCP hyperamylasemia and PEP did not differ between the patients with and without PAD. However, the type of PAD is important; post-ERCP hyperamylasemia is significantly lower in patients with type 2b PAD than in all other PAD types and patients without PAD. Different subtypes of PAD may have different impacts on ERCP outcomes. Further investigations with new PAD classification systems developed for ERCP purposes are needed.
Type II Kounis syndrome induced by bee sting: a case report and literature review
Authors: Zhu Dewen , Meng Jianqiang , Lu Yuanben , Chen Lina 
Published: January 2025

Abstract

Kounis Syndrome (KS) encompasses a spectrum of clinical manifestations, including unstable angina pectoris and myocardial infarction, and is postulated to result from an exaggerated hypersensitivity reaction. This case report elucidates an instance of type II Kounis Syndrome precipitated by a bee sting, culminating in myocardial infarction—an often underrecognized and frequently misdiagnosed condition.
Sharp uniform stabilization of a shallow shell with internal rotational inertia dissipation and a nonlinear boundary feedback under free boundary conditions
Authors: Lasiecka Irena , Li S.-J , Triggiani Roberto 
Published: January 2025

Abstract

The motion of a shell is characterized by a system of two coupled hyperbolic partial differential equations: (i) an elastic wave in the two-dimensional in-plane displacement, and (ii) a plate-like Kirchhoff equation in the scalar normal displacement. A dynamic shallow shell is defined on a two-dimensional bounded, smooth manifold with elastic deformations accounting for vertical and in-plane oscillations. In this paper, we investigate the uniform stabilization of a dynamic shallow shell model, which is subject to nonlinear dissipation on part of its boundary under absorbing boundary conditions corresponding to the wave equation, while the plate equation incorporates rotary inertia terms along with inertial dissipation and inertial boundary spill-over. The model is motivated by applications to flutter suppression [1] in bridges and buildings, where the flutter occurs due to the interaction between the flow of gas and the structure. The uniform stabilization for a shell model is established by energy method in the Riemannian geometric setting and microlocal analysis techniques. The geometric approach offers an intrinsic, coordinate - independent framework along with an initial observability-type inequality. Meanwhile, microlocal analysis provides the needed sharp trace estimates crucial for solving the stabilization problem concerning the elastic wave. Moreover, it enables the removal of geometric constraints on the controlled portion of the boundary. The final result provides uniform decay rates of the energy which are quantitative via an ODE algorithm based on the behavior of the boundary dissipation at the origin.
Mathematics Subject Classification (2020). 35B35; 74K25; 93C20; 93D15; 93D20.
Design and testing of high-voltage ground wire repair robot based on adaptive sliding mode control strategy
Authors: Daguang XU , LIU Huan , Congjiu XIE , Huijuan RAN , FANG Jing 
Published: January 2025

Abstract

High-voltage ground wire repair robots play a critical role in the maintenance of power lines, where the precision of motor control and the reliability of mechanical structures directly impact the robot's repair efficiency and job safety. This paper improves the robot from both the control algorithm and mechanical structure aspects. To enhance the control accuracy of the motors used in high-voltage ground wire repair robots, based on the adaptive sliding mode controller designed in this paper, the robustness of sliding mode control is combined with adaptive adjustment of the control of sliding mode. Control is combined with adaptive adjustment to improve the system's adaptability to parameter variations and external disturbances. Furthermore, an improved phase-locked loop (PLL) is proposed. Improved phase-locked loop (PLL) control is proposed to achieve better rotor position tracking. Simulation and experimental results show that the proposed control strategy has a faster dynamic response and higher control accuracy compared to traditional control methods, effectively enhancing the quality of ground wire repair work and the reliability of the robot's operation. Finally, this paper designs the ground wire breakage repair device and pre-stranding winding device for the high-voltage ground wire repair robot and completes their fabrication. Test results indicate that the robot can efficiently and accurately complete ground wire repair work with control commands responding quickly and accurately, and the repair effects are satisfactory.
Outcomes of continuous kidney replacement therapy in pediatric patients: The impact of timing and predictors of mortality
Authors: Alrashdi Abdulsalam S , Alshammari Jaser N , Abdullah Sulaiman K , Alqannas Sulaiman , Faqeehi Hassan , Albatati Sawsan , Rahim Khawla A , Sandokji Ibrahim A , Alanazi Abdulkarim S , Zabali Saeed Mohammed Al 
Published: January 2025

Abstract

Background While critically ill children receiving continuous kidney replacement therapy (CKRT) are at increased risk of mortality, few studies have examined the predictors of mortality in this population. This study aimed to evaluate CKRT outcomes, focusing on predictors of mortality.Methods This cohort study included children aged 0–14 years who received CKRT. It collected baseline, clinical, and laboratory data. Descriptive analyses were performed. Least absolute shrinkage and selection operator (LASSO) regression was used to select the best predictors of mortality. A multivariable logistic regression model was constructed and validated with 1000 bootstraps.Results This study included 113 children who received CKRT, of whom 83 (73.5%) survived and 30 (26.6%) died. Children admitted to the intensive care unit with a higher Pediatric Risk of Mortality III score, sepsis, longer intubation, or hypoalbuminemia (< 30 g/dL) were more likely to die. Multifactorial acute kidney injury was more common in those who died than in those who survived (83.3% vs. 31.3%, p < 0.01). As the exclusive indication for CKRT, fluid overload was more common in those who died than in those who survived (26.7% vs. 6.0%, p = 0.01). LASSO and multivariable regression models identified hemodynamic instability, as evidenced by inotropic support use, and abnormal coagulation, as evidenced by not using anticoagulation, as independent predictors of morality. Initiating CKRT late (> 48 hours) was associated with mortality in the univariate but not the multivariate analysis.Conclusion Hemodynamic instability was the best predictor of mortality in critically ill children receiving CKRT.
A Scheme for Network Programmability and Backup Automation Using Python Netmiko Library on Cisco; the Case Study of the Komfo Anokye Teaching Hospital Local Area Network
Authors: Osei-Wusu Franco , Asiedu William , Frimpong Kwame Asamoah , Yeboah Donald , Muntaka Siddique Abubakr 
Published: January 2025

Abstract

The need for programmability and backup automation in modern network administration has become increasingly critical. In environments that facilitate and heavily depend on essential network operations, such as hospitals, ensuring secure, stable, and reliable processes in network management is imperative. This study proposes an automated framework for the Komfo Anokye Teaching Hospital (KATH) Local Area Network (LAN), leveraging Python and the Netmiko library to streamline backups of Cisco devices, significantly improving upon the limitations of manual processes used by the hospital's networking professionals. Experimental results demonstrated that the proposed automated scheme effectively addressed the challenges posed by these conventional yet error-prone manual processes. This was validated through performance evaluation metrics such as backup completion time, success rate, and resource utilization.
Antennas Modelling based on Consensus Gaussian Process
Authors: Tian Yubo , Zhu Zhiwei , Meng Fei 
Published: January 2025

Abstract

When optimizing the antennas, the traditional method is using the swarm-based global optimal algorithms combining full-wave electromagnetic simulation software. The biggest shortcoming of the method is low efficiency because it needs many times calling the simulation software which is very time-consuming. In this study, we adopt machine learning methods to replace EM simulation software, fasting the optimal process of the antennas, in which the most important thing is its accuracy and generalization ability. We propose an ML surrogate model based on the consensus concept exploiting Gaussian process. Specifically, we model the optimized antenna independently several times by GPs, considering that GP is suitable for the small sample antenna issue. Then, we obtain the final surrogate model by either consistency or aggregation based on the trained GPs, where a consistency algorithm is used when the difference between the GPs is small whereas an aggregation algorithm is used when the difference between the GPs is big, in order to guarantee the good reliability and excellent accuracy of the results. The experiments of an ultra-wideband antenna and a multiple-input and multiple-output antenna demonstrate the proposed method with great generalization ability, where the evaluation metrics are excellent.