bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parental Psychological Control and Depression in Chinese junior Middle School Students: A Moderated Mediation Model
Authors: Liu Hailun , Fu Lili , Liang Xianqi , Zhang Junhua , Zhang Li , Zhai Youhua 
Published: June 2024

Abstract

Background This study examines the mechanisms linking parental psychological control and depression among Chinese junior middle school students, focusing on the mediating role of psychological resilience and the moderating effect of school climate on this relationship.
Method A questionnaire survey was administered to 1991 middle-school students by using a self-developed depression scale, the psychological control sub questionnaire, the Chinese version of the Connor-Davidson Resilience Scale and the perceived school climate scale. Data analysis was performed using SPSS 26 software and SPSS PROCESS 3.3, involving descriptive statistics, correlation analysis, and the test of the moderated mediation model.
Results The findings indicate that (1) parental psychological control is a positive predictor of depression, and psychological resilience mediates this relationship; (2) in the mediation model involving psychological resilience, school climate moderates the latter half of the pathway and the overall mediating effect. Specifically, under a positive school climate, both the negative predictive effect of psychological resilience on depression and the indirect influence of parental psychological control on depression through psychological resilience were significantly stronger than those under a negative school climate.
Conclusion Results showed that parental psychological control could have indirect effect on depression via psychological resilience with school climate as a moderator in the mediating effect. This research contributes to understanding how family and school environments, along with individual characteristics, collectively influence the mental health of junior middle school students.
Bisphenol A in canned fruit and vegetable in Tehran, Iran: a health risk assessment Study
Authors: Hazrati-Raziabad Reza , Aslani Ramin , Shariatifar Nabi , Arabameri Majid , Sadighara Parisa , Khaniki Gholamreza Jahed 
Published: June 2024

Abstract

This study aimed to investigate bisphenol A (BPA) contents in canned fruit and vegetable samples using Gas Chromatography-Mass Spectrometry (GC-MS). The mean concentration of BPA in canned samples of lentils, apricots, cherries, pineapples, eggplant stew and green peas was 21.87, 4.52, 3.92, 1.86, 1.67 and 1.62 µg/kg, respectively. The level of BPA in the samples was within the standard level. The pH value in canned fruits varied from 3.6 to 4.7 (mean = 4.15) and in canned vegetables from 4.3 to 5.9 (mean = 5.21). The mean sugar content was 41.42% (range 38–48%) and the mean fat value was 24.234% (ranged 24.7–48%). Furthermore, health risks were assessed for Iranian adults, and children. The 95th percentile ADI values of BPA in canned fruit for adults and children were 6.12E-08, and 2.16E-07 mg/kg bw/day; and in canned vegetables were 1.78E-07, and 6.26E-07 mg/kg bw/day, respectively. The 95th percentile THQ values in canned fruit for adults and children were 1.48E-06, and5.24E-06; and in canned vegetable were 3.56E-06, and 1.27E-05, respectively and HQ was less than 1. The results show that exposure to BPA through the intake of this samples does not pose a serious risk to human health.
Adolescent obesity and short sleep duration as independent risk factors for hypertension
: a population-based cohort study
Authors: Kwak Hyo-Bum , Choi Youngju , Yook Jang-Soo , Cho Eun-Jeong , Jeong Ilyoung , Kim Junghoon , Asako Zempo-Miyaki , Chang Eunwook , Park Dong-Ho 
Published: June 2024

Abstract

Prevalence of hypertension in adolescents has increased worldwide and is considered a risk factor for hypertension and cardiovascular disease in adulthood. Although obesity and sleep deficiency increase this risk, the combined effects of these factors on hypertension remain unclear. This study aimed to examine the combined effects of obesity and sleep duration on hypertension in adolescents. This study was conducted using data from the 2016–2018 Korean National Health and Nutrition Examination Survey, which included a study population of 1,272 adolescents. The participants were categorized into four groups based on sleep duration and body mass index (BMI) percentiles: normal sleep and normal body mass group (reference; normal), only short sleep group (short sleep), only overweight/obesity group (overweight/obesity), and short sleep and overweight/obesity group (short sleep and overweight/obesity). Short sleep duration was defined as < 8 hours of average sleep duration, and overweight/obesity was defined as a BMI ≥ 85th percentile. Hypertension in adolescents was defined as a systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 80 mmHg. The prevalence of hypertension was 9.2% among Korean adolescents. Short sleep duration with overweight/obesity were associated with a significantly increased risk of hypertension (odds ratio = 6.57; 95% confidence interval: 3.27–13.20) in adolescents, and controlling for the potential confounding variables only partially attenuated this relationship (odds ratio = 5.28; 95% confidence interval: 2.28–12.26). This study demonstrated that the coexistence of short sleep duration and obesity is associated with an increased risk of hypertension in Korean adolescents.
Incremental Financial Costs of Strengthening Large-Scale Programs to Improve Young Child Nutrition in Bangladesh, Ethiopia, and Vietnam: Retrospective Expenditure Analysis
Authors: Sanghvi Tina , Homan Rick , Nguyen Tuan , Mahmud Zeba , Walissa Tamirat , Nersesyan Marina , Preware Patricia , Frongillo Edward , Matheson Roger 
Published: June 2024

Abstract

Background
Inattention to young child growth and development in a transitioning global environment can undermine the foundation of human capital and future progress. Diets that provide adequate energy and nutrients are critical for children's physical and cognitive development from 6 to 23.9 months of age and beyond. Still, over 70% of young children do not receive foods with sufficient nutrition particularly in low-and-middle income countries. Program evaluations have documented the effectiveness of large-scale behavior change interventions to improve children’s diets, but the budgetary implications of programs are not known. This paper provides the incremental financial costs of strengthening three large-scale programs based on expenditure records from Bangladesh, Ethiopia, and Vietnam.
Results
The programs reached between one and 2.5 million mothers and children annually per country at unit costs of between $0.9 to $1.6 per mother and child reached. An additional 0.7 to 1.6 million persons who were influential in supporting mothers and achieving scale were also engaged. The largest cost component was counselling of mothers. Rigorous external impact evaluations showed that over 434,500 children benefitted annually from consuming a minimum acceptable diet in all countries combined, at an annual cost per country of $6.3 to $34.7 per child benefited.
Conclusions
Large scale programs to improve young children’s nutrition can be affordable for low- and middle-income countries. The study provides the incremental costs of selectively strengthening key program components in diverse settings with lessons for future budgeting. The costs of treating a malnourished child are several-fold higher than prevention through improved improving young children’s dietary practices. Differences across countries in program models, coverage, costs, and outcomes suggest that countries need a minimum investment of resources for strengthening high-reach service delivery and communication channels and engaging relevant behavioral levers and community support for mothers to achieve impact at scale.
Intelligent Vehicle Object Detection Based on Improved YOLOv7 Algorithm
Authors: Li Aijuan , Gong Chunpeng , Guo Dongjin , Du Guangkai , He Weikai , Zyrianov Vladimir 
Published: June 2024

Abstract

Intelligent driving of automobiles is based on environment awareness, and the technology that makes environment perception possible is target detection. Road traffic scenarios are complicated and variable, which can lead to issues including misdetection and omission of small objects and obscured areas. Furthermore, because to their limited processing capacity, intelligent cars must not only have a high detection accuracy and speed but also a low-complexity model in order to lessen their reliance on high-performance computing platforms. When compared to other lightweight models, the lightweight version of the YOLOv7 algorithm offers a lot of opportunity for improvement in terms of processing and parameter count. Thus, based on the enhanced YOLOv7 algorithm, this research suggests an intelligent vehicle target recognition technique. The YOLOv7-tiny network structure serves as the foundation for the addition of a small target detection layer, the introduction of a context aggregation module to enhance the feature extraction process and the model's capacity to detect small targets in complex scenarios, the reconfiguration of the SPPCSPC module to speed up detection, and the proposal of the P-ELEN module, which reduces the model's number of parameters and computation load, to lessen redundant computation and memory access. Nine sets of comparison tests, eight sets of ablation experiments, and detection effects are used to validate the enhanced YOLOv7 algorithm's detection performance. The experimental findings demonstrate that the enhanced YOLOv7 algorithm increases detection accuracy while simultaneously decreasing model complexity.
Lower MMP2, FLNA, CFL1 expressions favor invasive micropapillary carcinoma prognosis over ductal carcinoma of the breast
Authors: Wang Yidi , Zhang Jingyi , Wang Ying , Liu Yu , Shi Bohui , Li Xiaoqian , Zhang Huimin , He Jianjun 
Published: June 2024

Abstract

Purpose: The prognosis of invasive micropapillary carcinoma (IMPC) relative to invasive ductal carcinoma (IDC) of breast is contentious, despite its recognized aggressive clinical manifestations. This retrospective study aimed to explore the prognosis and underlying molecular mechanisms of IMPC.
Methods: We compared IMPC and IDC patients survival outcomes after PSM using the SEER database and constructed a nomogram for predicting IMPC overall survival (OS). IMPC-specific gene expression profiles were explored using microarray data from the GEO database. The top 10 genes in the PPI network with the highest degrees of connectivity were defined as hub genes and three of them were selected for validation by immunohistochemistry.
Results: IMPC patients had a better prognosis than IDC patients for both OS and BCSS. Multivariate analysis revealed that age, marital status, TN stage, ER status, and chemotherapy were independent prognostic factors for IMPC patients, which were used to construct the nomogram, with good performance in internal and external cohorts. A total of 294 DEGs were identified, with ten hub genes selected. MMP2, FLNA and CFL1, which are known to be associated with poor prognosis in breast cancer patients, were expressed at lower levels in IMPC patients than in IDC patients, indicating favorable outcomes in IMPC.
Conclusions: IMPC patients had a better prognosis than IDC patients, which may due to the lower expression of pro-oncogenic genes in IMPC, but the underlying mechanism needs further investigation.
The use of low-quality cotton-derived cellulose films as templates for in situ conductive polymer synthesis as promising biomaterials in biomedical applications
Authors: Demirci Sahin , Sahiner Mehtap , Rumi Shaida S. , Suner Selin S. , Abidi Noureddine , SAHINER NURETTIN 
Published: June 2024

Abstract

Due to the growing interest in biopolymer-based composites in many applications, noticeable devotion has been directed to natural polymer-derived products not only because of their renewable and eco-friendly characteristics but also for their versatility in processing conditions and cost-effectiveness in fabricating the final products. Here, we report the use of cellulose films (CFs) produced from low-quality cotton as a template for in situ synthesis of well-known conductive polymers, e.g., polyaniline (PANI) and polypyrrole (PPY) via oxidative polymerization. Three successive monomer loading/polymerization cycles of aniline (ANI) and pyrrole (PY) within CFs as PANI@CF or PPY@CF were carried out to increase the extent of conductive polymer content. The contact angle (CA) for three times ANI and PPY loaded and polymerized CFs as 3PANI@CF and 3PPY@CF were determined as 26.3 ± 2.8o and 42.3 ± 0.6o, respectively. As the electrical conductivity is increased with increased number of conductive polymer synthesis within CF, the higher conductivity values, 3x10− 4±8.1x10− 5 S.cm− 1 and 2.1x10− 3±5.8x10− 4 S.cm− 1, respectively were measured for 3PANI@CF and 3PPY@CF composites that were approximately 3.3K-fold and 30K-fold higher, respectively, compared to bare CF. It was also found that PANI@CF composites are hemolytic, whereas PPY@CF composites are not at 1 mg/mL concentrations. In the presence of 1 mg of CF-based conductive polymer composites, all PPY@CF composites exhibit better biocompatibility than PANI@CF composites on L929 fibroblast cells with 81 ± 9, 71 ± 8, and 70 ± 8% cell viability for 1PPY@CF, 2PPY@CF, and 3PPY@CF composites, respectively. Moreover, the minimum inhibition concentration (MIC) and minimum bactericidal concentration (MBC) of 3PPY@CF composites for Escherichia coli ATCC8739, Staphylococcus aureus ATCC6538 are determined as 2.5 and 5 mg/mL, whereas these values were estimated to 5 and 10 mg/mL for Candida albicans ATCC10231.
Pulmonary Embolism: Clinical profile and Outcomes
Authors: Andishmand Abbas , Sharifi Leila , Namayandeh Seyedeh Mahdieh 
Published: June 2024

Abstract

Background: Pulmonary embolism (PE) is a severe medical condition characterized by the occlusion of pulmonary blood vessels by a thrombus. This study aimed to offer a comprehensive understanding of the demographic characteristics, risk factors, and clinical manifestations of hospitalized patients with PE, as well as evaluate their short- to mid-term prognoses.
Methods: A total of 109 adult patients with a primary diagnosis of PE, admitted between 2018 and 2020, were included in the study.
Results: The patient cohort had a mean age of 59 years, with males accounting for 51.4% of the participants. The most prevalent symptom reported by patients was dyspnea, followed by chest pain. Pulmonary CT angiography was the primary diagnostic modality employed. Sub-massive PE constituted the most frequent subtype, with 61.5% of cases being provoked by embolisms. The majority of patients exhibited abnormal electrocardiogram (ECG) findings. Elevated levels of D-dimer and troponin were observed in the study population. In-hospital mortality was recorded at 10%, with several factors associated with increased mortality rates, including female gender (p = 0.029), provoked PE (p = 0.006), absence of thrombolytic therapy (p = 0.001), and left ventricular ejection fraction (LVEF) below 50% (p = 0.001). During the mid-term follow-up, the mortality rate rose to 22.8%, with advanced age emerging as a significant risk factor (p = 0.002). Thrombolytic therapy (p = 0.65), LVEF (p = 0.37), and pulmonary artery pressure (p = 0.33) did not exert a significant impact on mid-term mortality. The majority of patients were discharged with warfarin or novel oral anticoagulant (NOAC) therapy, and some exhibited impaired right ventricular function.
Conclusion: This study demonstrates that the absence of thrombolytic therapy in patients with massive embolism, along with the presence of risk factors such as immobility, malignancy, age over 65 years, and female gender, are significantly associated with short- and mid-term mortality in patients with pulmonary embolism.
Semantic segmentation feature fusion network based on transformer
Authors: Li Tianping , Cui Zhaotong , Zhang Hua 
Published: June 2024

Abstract

Convolutional neural networks have demonstrated efficacy in acquiring local features and spatial details; however, they struggle to obtain global information, which could potentially compromise the segmentation of important regions of an image. Transformer can increase the expressiveness of pixels by establishing global relationships between them. Moreover, some transformer-based self-attentive methods do not combine the advantages of convolution, which makes the model require more computational parameters. This work uses both Transformer and CNN structures to improve the relationship between image-level regions and global information to improve segmentation accuracy and performance in order to address these two issues and improve the semantic segmentation segmentation results at the same time. We first build a Feature Alignment Module (FAM) module to enhance spatial details and improve channel representations. Second, we compute the link between similar pixels using a Transformer structure, which enhances the pixel representation. Finally, we design a Pyramid Convolutional Pooling Module (PCPM) that both compresses and enriches the feature maps, as well as determines the global correlations among the pixels, to reduce the computational burden on the transformer. These three elements come together to form a transformer-based semantic segmentation feature fusion network (FFTNet). Our method yields 82.5% mIoU, according to experimental results based on the Cityscapes test dataset. Furthermore, we conducted various visualization tests using the Pascal VOC 2012 and Cityscapes datasets. The results show that our approach outperforms alternative approaches.
Metabolic syndrome is associated with PSA biochemical recurrence after radical prostatectomy: a prospective study with a minimum 5-year follow-up
Authors: Kontogiannis Stavros , Markantes Georgios , Obaidat Mohammed , Tsagkarakis Michail , Giannitsas Konstantinos , Perimenis Petros , Georgopoulos Neoklis , Athanasopoulos Anastasios 
Published: June 2024

Abstract

Purpose
Prostate cancer exhibits significant heterogeneity in terms of its aggressiveness. The precise role of metabolic syndrome in this variability remains unclear. This study will investigate the relationship between metabolic factors and their potential role in predicting the aggressiveness of prostate cancer.
Methods
This was a prospective study, enrolling consecutive patients undergoing radical prostatectomy. A comprehensive metabolic profile was established by measuring weight, height, body mass index, waist circumference, triglycerides, low-density lipoprotein (LDL), high-density lipoprotein (HDL) and fasting glucose, as well as by recording the presence of hypertension, diabetes mellitus and metabolic syndrome. The minimum follow-up was five years after surgery. Aggressive prostate cancer was defined based on based on three criteria: post-operative Gleason score (GS) of 8 or higher, pT3 disease classification according to the TNM staging system, and PSA biochemical recurrence after surgery.
Results
In total, 91 patients were enrolled. The mean age and PSA were 64.8 years and 9.3 ng/dl, respectively. The median post-operative GS was 7. The median body mass index and waist circumference was 28.3 kg/m2 and 93 cm, respectively. Almost one third (29.6%) of the participants had metabolic syndrome. Waist circumference was associated positively with post-operative Gleason first grade (p = 0.041), while metabolic syndrome was associated positively with pT3 disease (p = 0.005). Kaplan-Meier analysis also revealed that patients with metabolic syndrome had significantly more likelihood for biochemical recurrence after radical prostatectomy (p = 0.025).
Conclusion
The current study observed a significant correlation between metabolic syndrome and aggressive prostate cancer characteristics within a cohort of patients undergoing radical prostatectomy. Therefore, patients with metabolic syndrome should be carefully observed after radical prostatectomy, as they seem to be at higher risk for recurrence.
Quantitative hemodynamics of draining veins in brain arteriovenous malformation: a preliminary study based on computational fluid dynamics
Authors: Ma Long , Chen Yu , Chen Pingting , Ma Li , Yan Debin , Li Ruinan , Li Zhipeng , Zhang Haibin , Han Heze , Yuan Kexin , Li Runting , Lin Fa , Zhao Yuanli , Chen Xiaolin 
Published: June 2024

Abstract

Objective:
This study initiated a preliminary computational fluid dynamics (CFD)-based study to investigate the relationship between quantitative hemodynamics of arteriovenous malformation (AVM) draining veins and rupture.
Methods:
The quantitative hemodynamics of AVM draining veins were generated from computed tomography angiography (CTA)-based steady-state CFD models. Morphological and hemodynamic parameters were compared between the ruptured and unruptured groups. The boundary conditions of the drainage vein were obtained from quantitative digital subtraction angiography (QDSA). The draining veins were divided into 15 consecutive segments to analyze the spatial distribution of the hemodynamic parameters by linear regression analysis.
Results:
From 11 AVMs, it was revealed that morphological parameters of drainage veins in ruptured and unruptured AVMs were similar. The intravascular pressure of the draining vein in the ruptured AVMs was significantly higher than those of the unruptured AVMs (pressure average: P = 0.006; pressure maximum: P = 0.045), and the WSS of the posterior segment was higher in ruptured AVMs (P = 0.045). WSS of draining veins in ruptured AVMs showed a linear increase trend with segmenting (R = 0.731, P < 0.001), and ruptured AVMs were more likely to be accompanied by high-velocity segments in the draining vein (40.0% vs. 14.7%, P = 0.037), especially in the posterior segment (P = 0.011).
Conclusion:
The draining veins of ruptured AVMs had significantly higher intravascular pressure and posterior segment WSS. WSS showed a linear increase with segmentation in ruptured AVMs, and they often had more high-velocity segments in the draining vein, especially in the posterior segment.