bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tooth surface error correction method of hypoid gear based on Morris-LM(Levenberg-Marquard) fusion algorithm
Authors: Li Jun , Wang Zhonghou , Chen Mingzhi , Yuan Chongyue , Gou Zhenglong , Wu Yunlong 
Published: October 2024

Abstract

The accuracy of tooth flank can be affected by errors occurred in adjustment parameters on machine tool in the real processing of hypoid gears. The complex mutual coupling and nonlinear relationship between these makes the improvement of processing accuracy on tooth flank more challengeable. This paper presents a method for correcting tooth flank errors in gears using the Morris-LM (Levenberg-Marquard) fusion algorithm. The Morris algorithm is utilized for global sensitivity analysis of processing parameters, allowing for an intuitive comparison of effects caused by errors. Additionally, a random disturbance amount, obeying a normal distribution, is introduced into the global system to accurately reflect the key processing parameters that greatly impact on tooth flank errors in the actual processing. The complex nonlinear model established with correction of tooth flank errors contains multiple key processing parameters and the evaluation of flank accuracy is conducted by the integration of deviations containing tooth-top, tooth-root, and tooth-mean-square. Then key machining parameters are adjusted by the LM algorithm with a trust-region strategy to enhance the efficiency of tooth flank correction. The multiple measurements experiment on different tooth flanks were conducted after the corrected processing parameters. The results revealed that viewed from the concave flank, the deviations of tooth-top, tooth-root, and tooth-mean-square were respectively decreased by a minimum of 80.34%, 74.23% and 81.24%. Furthermore, viewed from the convex flank, the deviations from the above were also respectively decreased by a minimum of 83,99%,80.33% and 82.35%. These results verified the high accuracy of the proposed algorithm in correcting the tooth flanks of hypoid gears.
Environmental quality and the ebb and flow of urban innovation in China: An Explanation from the Perspective of Human Capital Mobility
Authors: Zhou Jieqi , Liang Wenguang , Qin Xiaolin 
Published: October 2024

Abstract

As urban competition intensifies, city quality increasingly becomes a key factor in determining human capital distribution and fostering urban innovation. Does environmental quality, as a crucial aspect of urban quality, lead to the mobilization of human capital and drive urban innovation? A definitive answer to this question remains unclear. This study begins with urban air pollution and constructs a framework of “environmental quality - human capital mobility - urban innovation efficiency.” It verifies this framework by integrating “Baidu Migration” big data with urban panel data. The findings reveal that: (1) Air pollution significantly inhibits urban innovation efficiency. This conclusion holds even after using instrumental variable techniques to address endogeneity concerns and conducting robustness analyses. (2) Mechanism tests show that reductions in both the quantity and quality of human capital, along with the outflow of high-skilled labor, are key mechanisms underlying the innovation-dampening effects of air pollution. (3) Heterogeneity analysis reveals that the negative effects of air pollution on innovation are more pronounced in inland cities with high-speed rail connections. This implies the reinforcement of China's regional innovation pattern, with lower innovation levels in the western regions and higher levels in the eastern regions. Additionally, enhancing economic agglomeration, providing high-quality public services, fostering cultural diversity, and strengthening digital infrastructure can increase residents' attachment to their local areas, thereby mitigating the negative impact of air pollution.
Foliar application of indole-3-acetic acid drives changes of soil fungal communities in endosphere and rhizosphere of Eucommia ulmoides
Authors: He Zhaoying , Lu Shenglv , Song Keyun , Ran Qingsong , Shao Qiuyu , Dong Chunbo , Zhang Yanwei , Han Yanfeng 
Published: October 2024

Abstract

Aims: Eucommia ulmoides is a valuable tree species endemic to China. However, the limited scale and low prevalence of quality seed resources, coupled with their slow growth and low utilization rate, continue to result in a scenario where supply falls short of demand. Growth hormone plays an important role in the growth and development of plants, notably enhancing the rooting rate of E. ulmoides.
Methods: In this study, based on high-throughput sequencing technology and controlled pot experiments, to assess the influence on the endosphere and rhizosphere fungal communities, the impact of varying concentrations of indole-3-acetic acid (IAA) on the foliar application of E. ulmoides were explored.
Results: The results revealed that the application of IAA significantly altered the composition, diversity and functionality of the fungal communities within the endosphereand rhizosphere of E. ulmoides. The most pronounced effects were observed at an IAA concentration of 1000 µM, with a more substantial impact on the rhizosphere fungi compared to those in the endosphere fungi. Futhermore, the application of IAA significantly increased the abundance of beneficial fungi in the endosphere, which are crucial for the growth and health of E. ulmoides.
Conclusions: This study revealed that the foliar spray of IAA could significantly drived the change of fungal community composition in the rhizosphere and endosphere of E. ulmoides, and increased the beneficial functional microbiota. This study offers novel insights into efficient and sustainable agricultural practices from a microbiological perspective.
Cool islands in a warming landscape: Old-growth beech forests performance in the recent forest crisis in Germany
Authors: Adhikari Yojana , Bachstein Nadine , Gohr Charlotte , Blumröder Janette , Meier Caroline , Ibisch Pierre 
Published: October 2024

Abstract

The climate crisis seriously threatens Central European forests and their ecosystem functions. There are indications that old-growth forests are relatively resilient and efficient in micro-climatic regulation during extreme climatic conditions. This study evaluates five well-protected old beech forests in Germany, part of a UNESCO World Heritage Site. We examined temperature dynamics and vitality in core, buffer, and border zones during hot days from 2017 to 2023, using Landsat 8 and 9 imageries to assess Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI), alongside on-site Air Temperature (AT) measurements. Our findings reveal that all five forests were impacted by recent extreme heat events, with core zones remaining cooler and more vital, followed by buffer zones. Temperature-regulating patterns varied with landscape characteristics and the surrounding matrixes. We observed a site-dependent cooling effect of the forest interior that increased with higher LST. Our study highlights the value of old-growth forests and recommends increasing effective protection around mature forests, establishing corridors between isolated patches, and creating mosaics in managed landscapes that include unmanaged areas capable of developing into old-growth ecosystems.
Empirical Study of Ecological Innovation and Occupational Health Hazard among Nigerian Paddy Rice Farmers: Response to Potential Field Contamination and Climate Risks
Authors: Omoyajowo Koleayo , Ogunyebi Amos , Ogunkanmi Adebayo , Njoku Kelechi , Omoyajowo Kolawole , Oludoye Oluseye , Gupta Jyoti , Raimi Morufu 
Published: October 2024

Abstract

This study investigates the adoption of ecological innovations and management of occupational health hazards among Nigerian paddy rice farmers in response to field contamination and climate risks. Conducted across four major rice-producing states—Ekiti, Kwara, Edo, and Ogun—the research employed a semi-structured questionnaire developed from a comprehensive literature review and validated through peer review. Data were collected from 192 farmers through face-to-face interviews and guided dialogues, focusing on ecological innovations, vulnerability assessments, satisfaction with implemented methods, occupational health hazards, and perceptions of sustainable rice cultivation. Findings reveal that only 29.69% of farmers have adopted new measures to address contamination and climate risks, while 70.31% have not. Work-related injuries, such as cuts and abrasions, affected 28% of farmers, with minimal participation (3.1%) in safety training and support from agricultural or government agencies (1%). Correlation analysis demonstrated weak relationships among variables such as farmers' education, adoption of ecological innovations, satisfaction with results, and use of personal protective equipment (PPE). Importantly, farmers who adopted ecological innovations expressed significantly higher satisfaction (odds ratio = 11.613), as did those with prior exposure to pesticides and chemicals (odds ratio = 4.084) regarding safety practices. The study emphasizes the critical need for increased awareness, training, and support to promote sustainable farming practices and improve occupational health outcomes among paddy rice farmers in Nigeria.
New High-Resolution Prototype Versus Standard Spectralis Optical Coherence Tomography in Patients With Central Serous Chorioretinopathy
Authors: Desideri Lorenzo Ferro , Hennenbert Luc , Subhi Yousif , Zinkernagel Martin , Anguita Rodrigo 
Published: October 2024

Abstract

Purpose
To assess the accuracy of High-Resolution OCT in detecting biomarkers associated with central serous chorioretinopathy (CSC) compared to standard OCT.
Methods
We conducted a cross-sectional study involving CSC patients who underwent High-Resolution and standard OCT during the same visit. Using the SPECTRALIS High-Res OCT device (Heidelberg Engineering, Heidelberg, Germany), macular B-scans were obtained and compared with those acquired using a SPECTRALIS HRA + OCT device (Heidelberg Engineering, Heidelberg, Germany). Qualitative assessments were performed, and statistical analyses compared the performance of both OCT modalities.
Results
Thirty-one patients diagnosed with CSC were included with a mean age of 56.3 years (± 10.2). Among them, 29% (n = 9) were classified as acute CSC (aCSC), while 71% (n = 22) had chronic CSC (cCSC). High-Resolution OCT outperformed standard OCT in detecting microstructural changes in the outer retinal layers, including a higher prevalence of disrupted interdigitation zone (IZ) (29% vs. 6%, p = 0.003) and retinal pigment epithelium (RPE) disruption (12% vs. 2%, p = 0.0024). Intergrader agreement was high (Cohen's Kappa = 0.85).
Conclusion
High-Resolution OCT demonstrates promise in identifying critical biomarkers associated with CSC, particularly disruptions in the IZ and RPE. Further validation in larger cohorts is required to confirm their clinical relevance in patients with CSC.
Research on the Elevation Prediction Model of Suspended Continuous Beam Bridge based on PSO-BP Neural Network
Authors: Zhang Feng , Fu MeiZhen , Liang Yuxiong 
Published: October 2024

Abstract

To address the linear prediction problem encountered during the construction of continuous beam bridges with cantilever erection, an elevation prediction model based on PSO-BP combined neural network model was introduced. Model integrates Pearson correlation analysis, Generalized Matrix Inverted Grey Prediction (GM (1,1)) model, Particle Swarm Optimization (PSO) algorithm and Back propagation (BP) Neural Network. Through a literature review on past bridge data and Longxia Taojiang Bridge, predicted elevation values were compared with field measured values. Results demonstrated that predicted values of PSO-BP model are in coincidence with the measured values, meeting accuracy requirements. Therefore, this proposed model can serve as a valuable reference for the cantilever erection of other continuous beam bridges.
Sports Instruction Enhanced by Posture Recognition: A Study Using the Baduanjin as a Case
Authors: Ma Jiewei , Ma Lianzhen , Qi Shilong , Ruan Wenpian 
Published: October 2024

Abstract

This research investigated the effectiveness of posture recognition technology in online Baduanjin instruction. A teaching experiment was conducted with two randomly selected college classes (n = 70) for eight weeks, with participants divided into an experimental group (n = 35) receiving posture recognition-assisted Baduanjin instruction and a control group (n = 35) receiving traditional online instruction. The study assessed the impact on sports learning interest, self-directed learning ability, and Baduanjin skill proficiency using validated questionnaires and expert evaluation. Results demonstrated a significant increase in sports learning interest, particularly in positive learning attitude, sports skill acquisition, extracurricular sports activities, and sports attention, for the experimental group. The experimental group also showed a significant enhancement in self-directed learning ability, especially in learning motivation. Both groups exhibited significant improvement in Baduanjin skill proficiency, with the experimental group demonstrating significantly higher scores than the control group. These findings highlight the potential of posture recognition technology to promote student engagement, enhance self-directed learning, and improve technical proficiency in online sports learning. The study discusses limitations and potential future research directions, emphasizing the need for further exploration of this promising technology in online sports education.
Association between nonalcoholic fatty liver disease and infertility in reproductive-aged females
Authors: Zhao Jun , Liang Ajuan , Li Zhenhua 
Published: October 2024

Abstract

Context: Findings from observational studies indicate association between non-alcoholic fatty liver disease (NAFLD) and polycystic ovary syndrome. However, the relationship between NAFLD and female infertility remains unclear.
Objective: This study aimed to evaluate the associations between NAFLD and female infertility at the phenotypic and genetic levels.
Methods: Cross-sectional analysis using the 2013-2018 and 2017-2020 (pre-pandemic) National Health and Nutrition Examination Survey (NHANES) was performed. NAFLD was defined by utilizing the Hepatic Steatosis Index (HSI), median value of controlled attenuation parameter (CAP)and liver stiffness measurement (LSM). Multivariable logistic regression and subgroup analyses were used to examine the observational associations of NAFLD related indicesand female infertility. Subgroup analyses were used to explore whether the relationship between female infertility and HSI values was influenced by potential confounders. A bidirectional, two-sample Mendelian randomization analysis was used to determine the potential causal relationship between NAFLD and female infertility.
Results: Higher HSI was associated with progressively higher odds of infertility in women. Increasing CAP and LSM value were positively associated with an increased risk of female infertility. There was an interaction between age and NAFLD indices in relation to the prevalence of female infertility. In MR analyses, the IVW method showed no genetically causal relationship between NAFLD and female infertility.
Conclusion: Reproductive-aged women with NAFLD may have higher prevalence of infertility in the U.S. however, findings from MR analysis did not indicate a causal relationship between NAFLD and female infertility.
Effects of sarcopenia and malnutrition on short-term prognosis after minimally invasive pancreaticoduodenectomy
Authors: Xu Zheyu , Chen Jingtao , Mou Yiping , Li Ou , Zhou YuChen 
Published: October 2024

Abstract

Bcakground
Minimally invasive pancreaticoduodenectomy (MIPD) has been routinely performed in major centers, and its feasibility and efficacy in tumor treatment have been highly recognized. However, the resection process of MIPD is still complicated with postoperative morbidities. The effect of sarcopenia and malnutritional status on postoperative clinical outcomes still remains unclear and controversial.
Methods
The clinical data of 207 patients who had consecutively received MIPD between June 2017 and December 2022 were retrospectively analyzed. A multidimensional nutritional assessment was performed before surgery. Multivariate analysis and propensity score– matched (PSM) procedure was performed to identify the effects of sarcopenia and preoperative nutritional status on postoperative short-term prognosis.
Results
In the multivariable analysis, sarcopenia (OR 9.742, 95% CI 3.339–43.025, p = 0.002) was affected postoperative morbidity/mortality, weight Loss % (MD 0.486, 95% CI 0.188–0.784, p = 0.007) and operation time (MD 0.016, 95% CI 0.003–0.029, p = 0.0) were associated with length of hospital stay. Sarcopenia was identified as an independent, prognostic factor for postoperative pancreatic fistulas (POPFs) (OR 8.499, 95% CI 2.558–40.178, p = 0.008) and Clavien Score III IV V (OR 15.211, 95% CI 4.679–71.295, p < 0.001).
Conclusion
Sarcopenia before MIPD can affect postoperative outcomes, especially POPFs. Sarcopenia and nutritional status assessment should be part of routine preoperative procedures to provide early and appropriate nutritional support for prospective MIPD patients.
Association Between Community Violence Exposure and Parental Firearm Ownership: Data from a Nationally Representative Study
Authors: Pelletier Karissa R. , Pizarro Jesenia M. , Royan Regina , Sokol Rebeccah , Cunningham Rebecca M. , Zimmerman Marc A. , Carter Patrick M. 
Published: October 2024

Abstract

Background
Firearm injuries are the leading cause of death for U.S. adolescents. Given the prevalence of firearm ownership in the U.S., particularly among parental figures in homes with children and teens, and the relationship between firearm access and injury outcomes, it is vital to shed light on potential parental motivations for keeping firearms in their homes. The purpose of this analysis was to examine whether exposure to community violence is associated with parental firearm ownership.
Methods
Data from the Firearm Safety Among Children and Teens Consortium's National Survey (6/24/2020-7/24/2020) was examined. The survey sample comprised parents of high-school-age teens (age 14–18). The survey examined various measures, including firearm ownership, storage, community violence exposure, and sociodemographic characteristics. Stepwise logistic regression was used to examine the association between community violence exposure and parental firearm ownership.
Results
Regression models demonstrate that community violence exposure is associated with an increased likelihood of firearm ownership among parents of high-school age teens (OR = 1.08, p < 0.05). Other significant predictors of firearm ownership among parents included parent age (OR = 0.99, p < 0.01), marital status(OR = 1.29, p < 0.05), and educational attainment (OR = 0.60, p < 0.001).
Conclusions
The findings supported the hypothesis that community violence exposure was associated with an increased likelihood of parental firearm ownership, even after adjusting for potential confounders. These findings contribute to the existing literature by shedding light on the possible contributing factors for firearm ownership among parents of teens. Public health interventions focused on raising awareness about the risks of firearm access in households with youths, providing counseling on locked storage practices, and offering resources for accessing secure firearm storage options, such as rapid access storage, may contribute to reducing firearm access among youth. Additionally, community-based initiatives focused on violence prevention and addressing the root causes of community violence can help create safer environments, thereby reducing the perceived need for accessible firearms in the home by parents and caregivers.
Self-supervised learning method of image maskbased on enhanced chunk embedding andthreshold binarization
Authors: Shao Yunxue , Wang Zhiyang , Wang Lingfeng 
Published: October 2024

Abstract

Self-supervised learning is popular for avoiding labeling large-scale datasets to reduce the cost, effectively improving the model's generalization and representation ability . Masking self-supervised learning is the hot spot of self-supervised learning nowadays, most of the existing masking methods are masking the regular chunks after data enhancement chunking, which is not the real sense of random masking, and at the same time, the above masking methods result in a poor local correlation between the chunks of the image. In this paper, we propose a new masking method for self-supervised learning, named TBMP, which masks the image after threshold binarisation before data enhancement, and enhances the chunked embedding between chunks while aggregating the input position information, effectively enhancing the local correlation between image chunks in the model, and solving the problem of mask shape region fixation in the current self-supervised learning. We use the DINO model as a benchmark for which we perform threshold binarisation masking as well as augmented chunk embedding. In this paper, we conduct linear evaluation experiments on several public datasets, and the results show that the TBMP method outperforms all existing mainstream models in self-supervised learning using masks.
The Protective Effect of Icariin on Isoproterenol-Induced LV Remodeling in Mice
Authors: Zeng Fanqun , Huang Dandan , Lin Xiaoying , Li Yeli , Li Yiqi , Huang Bo , Ding Ruixue , Yang Jianwen , Wang Yu , Yang Danli 
Published: October 2024

Abstract

Objective
The objective of this study is to examine the effect of icariin (ICA) on isoproterenol (ISO)-induced left ventricular (LV) remodeling in mice and to investigate potential underlying mechanisms.
Methods
C57BL/6 mice were randomly assigned to the control group, ISO group, as well as low and high dose ICA groups. The ISO group and ICA groups were subjected to ISO (5 mg/kg) subcutaneous injections for a duration of 14 days to induce LV remodeling. Concurrently, mice in the low and high dose ICA groups were orally administered with ICA at doses of 15 mg/kg and 60 mg/kg, respectively, on a daily basis. Following the 14-day treatment period, the ratio of heart weight to body weight was assessed. Morphological changes in the left ventricle were observed by H&E staining, and the occurrence of cardiomyocyte apoptosis in the left ventricle was evaluated by TUNEL staining. ER stress and mitochondrial injury related proteins were examined via western blotting.
Key findings
The findings indicate that icariin at a dosage of 60 mg/kg reduced heart mass index, attenuated inflammatory cell infiltration and myocardial hypertrophy, decreased the ratio of myocardial apoptosis in the left ventricle, and lowered the protein expressions of ER stress and mitochondrial injury related proteins following isoproterenol (ISO) insult.
Conclusion
Icariin mitigates ISO-induced left ventricular remodeling in mice by inhibiting ER stress and mitochondrial injury.