bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Risk Factors for Formation of Bladder Neck Contracture After Holmium Enucleation of Prostate
Authors: Talamini Susan , Keller Rebekah , Kaplunov Briana , Ostergar Adam , Wong Daniel , Hill Hayden , Paradis Alethea , Vetter Joel , Nottingham Charles 
Published: August 2024

Abstract

PURPOSE: Holmium laser enucleation of prostate (HoLEP) offers a size independent approach to the treatment of benign prostatic hyperplasia (BPH). Bladder neck contracture (BNC) is a known complication after HoLEP. This study evaluates the incidence and risk factors associated with the formation of BNC after HoLEP.
METHODS: A retrospective review was conducted from 2020 to 2022 of men undergoing HoLEP by a single surgeon. Pre- and perioperative factors were compared including catheter dependence, previous and concurrent procedures, laser type, enucleated gland weight, and energy usage.
RESULTS: A total of 185 men were identified for the study. An incidence of BNC occurred in 9.2% of patients (n = 17). On univariate analysis, enucleated gland weight was significantly associated with BNC (72.2 vs 34.5, p = 0.007).  Of men with enucleated weight less than 18gm, 8 (23.7%) had BNCs vs 8 men (5.7%) with enucleated weight > 18 gm (p = <0.001). The presence of bladder stones at time of HoLEP was significantly associated with formation of BNC, as 17.6% of men with BNCs had bladder stones (p = 0.039). Prior urethral dilation was significantly associated with BNC (11.8%, p = 0.023). Mean time to diagnosis of BNC was 6.5 months. Mean follow up was 17.9 months.
CONCLUSIONS: Our study identified smaller glands, as well as concurrent bladder stones and previous stricture disease, as significant risk factors for the development of BNC after HoLEP.  This study underscores the importance of preoperative anatomical evaluation in patient counseling and discussion of individual risk factors.
Research on Predicting Super-Relational Data Links for Mine Hoists within Hyper-Relational Knowledge Graphs
Authors: Dang Xiaochao , Shu Xiaoling , Dong Xiaohui , Li Fenfang 
Published: August 2024

Abstract

Hyper-relational knowledge graphs significantly enhance industrial production's intelligence, efficiency, and reliability by enabling equipment collaboration and optimizing supply chains. However, due to current limitations in data and technology, the construction of knowledge graphs in the industrial domain remains incomplete. Link prediction can effectively address this issue. This paper proposes a novel hyper-relational link prediction method called HyperFormer-LSTM, which integrates LSTM into the HyperFormer model and combines it with a MOE expert network to better capture information between entities. Experimental results show that this method performs excellently on both public datasets and self-constructed hoist datasets. In the MHSD (100) dataset, the MRR and H@1 increased by by 0.055 and 0.063, respectively, compared to HyperFormer. This method not only effectively solves the knowledge graph completion problem for mine hoists but also provides more accurate information for equipment maintenance and fault prediction. Key variables involved in this study include model structure, dataset type, dataset scale, evaluation metrics, and experimental settings. Future research will focus on further improving link prediction models and deeply studying the domain characteristics of mine hoist data to further advance research in the field of hyper-relational knowledge graph link prediction for mine hoist data.
Unsupervised Wood Species Identification Based on Multiobjective Optimal Clustering and Feature Fusion
Authors: Wang Yuan , Ma Wen-Jin , Qu Ren-He , Avramidis Stavros 
Published: August 2024

Abstract

This paper proposes an unsupervised wood species identification approach utilizing multiobjective optimization clustering and feature fusion. To address the limitations of single-band spectra in comprehensively capturing wood characteristics, we integrated preprocessed low-dimensional terahertz (THz) and hyperspectral data. Additionally, to tackle the issue of determining the optimal k-value in clustering, we developed an unsupervised wood clustering algorithm that employs multiobjective optimization and evolutionary algorithms. This algorithm utilized a prototype coding method for initialization, density peak clustering, and an improved firefly optimization algorithm for cross-variation to ensure population diversity. Furthermore, a selection operator was designed based on grid division and fast, non-dominated sorting. We evaluated the model's performance using a dataset consisting of hyperspectral and THz spectra from 400 samples representing ten wood species, comprising five coniferous and five broadleaf species. Experimental results demonstrated a 3.5% enhancement in clustering purity with fused data compared to individual datasets. Our proposed algorithm outperformed comparative methods such as DBSCAN, OPTICS, and peak density clustering, achieving a maximum clustering purity of 91.25% in both the internal and external clustering metrics.
The Impact of Floating Populations' Healthy Capital on Employment Quality
Authors: Han Huilian 
Published: August 2024

Abstract

Background Under the background of current urbanization and demographic changes, studying the practical significance of the relationship between healthy capital and employment quality of floating populations is conducive to promoting the high-quality development of the population and achieving harmonious stability and sustainable development of society.
Methods We use the National Dynamic Data of Migrant Population (CDMS) in 2017 to calculate the healthy capital of the floating population, and systematically analyze the employment effect of healthy capital on the floating population. Self-assessment of health and physical health is set as the health capital of the floating population. The quality of employment is measured by job incom，job intensity，job stability，job security, and the impact of the health capital of the floating population on the quality of employment is tested through the ols model.
Results It is found that the improvement of the employment quality of the floating population is closely related to the improvement of the health capital; the health capital of the floating population plays a significant role in promoting the quality of their employment. Specifically, self-rated health capital has a significant positive impact on the job income and job stability of the floating population, but has a negative impact on job intensity. However, the relationship between health capital and employment security is not significant. This result is consistent with the robustness test results.
Conclusions The results show that health capital can have a positive impact on the employment quality of the floating population, but there are certain differences in the impact on different dimensions of employment quality. Based on this, in the future urbanization development, we should pay attention to the health level of the floating population, promote population health capital, further improve the employment structure of the labor market, improve the efficiency of labor resource allocation, and then promote social and economic vitality and promote the healthy and stable development of the economy and society in the context of the gradual reduction of the Demographic dividend.
Evaluation of the effect of an online patient decision aid for female stress urinary incontinence: protocol for a stepped wedge study (the Decision study)
Authors: Gerritse Maria B.E. , de Vries Marieke , Heesakkers John P.F.A. , Hout Joanna In 't , Lagro-Janssen Antoine L.M. , Vaart C. Huub van der , Oom Daniella M.J. , Schellart René P. , Speksnijder Leonie , Stegeman Marjan , Verkleij Anneke C. , Kluivers Kirsten B. 
Published: August 2024

Abstract

Background
Stress urinary incontinence (SUI) affects almost half of adult women and has a negative impact on quality of life. In the Netherlands, primary treatment options are pelvic floor muscle therapy (PFMT) and midurethral sling (MUS) surgery. This is a preference-based decision, in which the decision-making process may benefit from support from a patient decision aid (PDA). Use of a PDA overall reduces decisional conflict, the level of difficulty patients can experience when making a decision for a treatment or test. An online PDA for SUI treatment was developed to support the female SUI decision-making process. We hypothesize that use of the PDA will reduce decisional conflict.
Methods
The Decision study is a multicenter, prospective, stepped wedge study in which a group of patients who use the PDA is compared with controls. Eligible are women who have moderate to severe predominant SUI, did not give birth within the previous 6 months, do not wish to become pregnant anymore, do not have symptomatic vaginal prolapse, did not complete a course of PFMT within the last 6 months, have not undergone previous surgical SUI treatment and are able to use the internet in the Dutch language. Primary outcome is level of decisional conflict. Secondary outcomes are decisional regret, quality of life, urinary incontinence after treatment and the level of knowledge of the condition and treatment options. Questionnaires are filled in by patients after making the treatment decision and 6 months later. The study is powered for decisional conflict, with a 1:2 ratio of control-intervention group. A total of 366 patients is required, 122 in the control group and 244 in the intervention group.
Discussion
This study will evaluate the effect of the use of a PDA on the level of decisional conflict when making a decision for treatment in women with moderate to severe SUI. The outcomes will indicate whether implementation of the PDA in Dutch clinical practice will decrease decisional conflict.
Trial registration number 2017-3540
Fungal Extracellular Vesicles Associated with the Structuring and Remodelling of the Trichoderma harzianum Cell Wall
Authors: Gomes Eriston V. , Ulhoa Cirano J. , Cardoza Rosa E. , Gutiérrez Santiago , Silva Roberto N. 
Published: August 2024

Abstract

Purpose
The main structure of the fungal cell wall (CW) consists of crosslinked glucans, chitin, and glycoproteins. This structure is responsible for the cell shape. It also provides osmotic and physical protection to cells. However, sophisticated CW remodeling is required for fungal morphogenesis and reproduction. This requires remarkable dynamism of the fungal CW, which must combine contrasting properties, such as elasticity and stiffness. Different fungal species assemble their CWs in different ways. Extracellular vesicles (EVs) are a general term for cell-derived bilayered phospholipid membrane particles that enter the extracellular environment. EVs have a wide variety of origins, sizes, cargos, membrane compositions, and biological functions. Recent advances in this emerging field have contributed to the construction of a solid knowledge base that is rapidly evolving into the formulation of applied tools, including drug delivery systems and vaccine prototypes.
Sickle Cell Disease Awareness and Perception Among Christian Religious Leaders in Accra Metropolis: A Qualitative Study
Authors: Okyere Rebecca , Ampomah Menford Owusu , Achempim-Ansong Gloria , Laari Luke , Ohene Lillian Akorfa , Atkins Karl 
Published: August 2024

Abstract

Introduction
Sickle Cell Disease (SCD) is a severe hemoglobin gene mutation disorder inherited from both parents. Two percent of Ghanaian newborns are affected by SCD; one in three Ghanaians has the hemoglobin S gene. Christian religious leaders may play a role in the prevention of SCD through the promotion of genetic counseling, genotype screening for premarital couples, and offering counseling to couples on prenatal screening and diagnosis for SCD. However, little is known about the awareness and perception of SCD among Christian religious leaders in Ghana, and this study aims to explore these.
Methods
This study adopted a qualitative descriptive design to explore the awareness and perception of SCD among Christian religious leaders in the capital city of Ghana. A purposive sampling technique selected 16 participants from churches under the main Christian groups. The participants were chosen based on their roles and responsibilities within their respective churches. Data was collected using a semi-structured interview guide, which included open-ended questions to encourage participants to share their thoughts and experiences. The interviews were conducted in a private setting to ensure confidentiality. The data was then analyzed using a thematic analysis approach, which involved identifying recurring themes and patterns in the participants' responses.
Results
The study's findings are crucial. They reveal a high awareness of SCD among Christian religious leaders, but also some misconceptions. Most of the religious leaders knew SCD was a genetic disease, although a few associated SCD with superstitious beliefs, poor dietary intake, and lifestyle. Some also stated that SCD was a disease of the blood group instead of the defective haemoglobin gene. They perceived SCD to be burdensome, disruptive, and draining, and they associated the disease with burnout in Persons Living with SCD (PLWSCD) and their families. The religious leaders had a good social network with PLWSCD, including family, friends, colleagues, and congregants.
Conclusion
These findings underscore the need for intense education about SCD, especially among Christian religious leaders. It is crucial to engage all stakeholders to intensify public awareness and education about SCD while improving the management and social support systems available to PLWSCD and families. This includes the religious institution's leadership, PLWSCD and families, the Ministry of Health, Ghana Health Service, and the Ghana Education Service. As active stakeholders, religious leaders can play a vital role in supporting PLWSCD if they are equipped with the necessary knowledge about the condition.
Predictive factors for birth-related post-traumatic stress symptoms using a birth-specific measurement: a cross-sectional study
Authors: Stén Greta , Malmquist Anna , Nieminen Katri , Grundström Hanna 
Published: August 2024

Abstract

BackgroundOne third of all childbirths are experienced as traumatic, which is a risk for developing birth-related PTSD (BR-PTSD). Understanding factors that increase the level of BR-PTSD symptoms (BR-PTSS) is crucial for the development of adequate preventive strategies. Most previous research has utilised general PTSD measurements, which negatively impacts its validity. This study therefore aimed to assess predictive factors for BR-PTSS using a birth-specific instrument.MethodsIn this cross-sectional study, BR-PTSS was measured using City Birth Trauma Scale. Information on prenatal and birth-related predictive factors and comorbid symptoms of postpartum depression was collected via a self-report questionnaire including Childbirth Experience Questionnaire 2. Independent significant predictors were analysed using single and multiple linear regression. The results were controlled for comorbidity with postpartum depression.ResultsIndependent significant predictors were previous traumatic experience, primiparity, complications in pregnancy or childbirth, and a negative subjective experience of childbirth. When controlling for comorbidity with postpartum depression, significant predictors were primiparity, complications in pregnancy or childbirth and a negative subjective experience of childbirth.ConclusionsThis study identifies a negative subjective experience of birth as the most important predictor for BR-PTSS and highlights the importance of modifiable factors. Our findings indicate that implementation of care acknowledging past trauma and primiparity, and evaluating the birth experience can help identify individuals with higher BR-PTSS. Future research should explore the effect on BR-PTSS when evaluating strategies focused on preventing and mitigating the experience of complications in pregnancy and birth, providing safe and supportive care, and promoting agency and self-efficacy during labour.
NAFLD’s Predisposion: insight from phenome-wide association and Mendelian Randomization
Authors: Jiang Huanyu , Dai Qian , Yan Haiying , Du Quanyu , Shen Tao 
Published: August 2024

Abstract

Genome-wide association studies (GWAS) meta-analysis have unveiled common single nucleotide polymorphisms (SNPs) associated with the increased risk of Non-alcoholic fatty liver disease (NAFLD). We conducted a phenome-wide association study (PheWAS) using data from the UK Biobank to further elucidate NAFLD-associated phenotypes and investigate the disease's underlying biology. A significant enrichment was found in 31 of 778 traits examined using 17 known NAFLD-risk SNPs along with 4:1 matched control SNPs. We explored genetic correlations and causal relationships by employing bidirectional Mendelian randomization (MR) and linkage disequilibrium score regression (LDSC). Notably, strong positive genetic correlations with NAFLD were observed for BMI (rg= 0.73), Trunk fat mass (rg= 0.67), Type 2 diabetes (rg= 0.86), and weight (rg= 0.57), while whole-body impedance (rg= -0.31) and neutrophil count (rg= -0.28) exhibited negative correlations. Our MR analysis demonstrated unidirectional effects of BMI (OR = 1.57), Trunk fat mass (OR = 1.40), Weight (OR = 1.22), whole-body Impedance (OR = 0.83), and Type 2 diabetes (OR = 1.42) on NAFLD risk. Intriguingly, bidirectional causal effects were identified between Alcohol intake frequency and NAFLD (ORAlcohol intake frequency → NAFLD= 1.42; ORNAFLD → Alcohol intake frequency= 1.02), suggesting a complex interplay. Furthermore, through intermediary MR analyses, we uncovered pathways mediated by FGF21 and IL-10RB, linking BMI and Trunk fat mass, respectively, to NAFLD development. These findings provide novel insights into the multifaceted genetic landscape of NAFLD, highlighting the importance of body composition, metabolic health, and lifestyle factors in its pathogenesis.
Research on the influence of government subsidies on agricultural enterprises' R&amp;D input: Threshold effect based on financing constraints
Authors: Cui Yujie 
Published: August 2024

Abstract

This paper takes listed agricultural companies from 2013 to 2022 as the research object, and uses fixed effect model and threshold model to test the impact of government subsidies on agricultural enterprises' R&D input. The results show that: Government subsidies can significantly increase the R&D input of agricultural enterprises, and financing constraints have a single threshold effect in the process of the impact of government subsidies on agricultural enterprises. Government subsidies for sample agricultural enterprises on both sides of the threshold have a positive promoting effect on R&D input, and when the financing constraints are higher than the threshold threshold (FC > 0.1812), Government subsidies play a more positive role in promoting agricultural enterprises' R&D investment. The research results confirm that the relationship between government subsidies and agricultural enterprises R&D investment is not linear, and the corresponding policy recommendations are put forward according to the empirical research results.
Multi-Patch De-raindrop Transformer for UAV images
Authors: Li Yufeng , Zhou Qianhui , Xie Chuanlong , Wu Shuang 
Published: August 2024

Abstract

Due to the complexity of aerial photography environments during rainy conditions, rain droplets randomly adhere to the lens, significantly degrading image quality. Therefore, this paper proposes a de-raindrop method for UAV aerial images based on a fusion network of multi-patch and frequency Transformer. The network architecture consists of a three-stage image restoration network that applies a multi-patch segmentation strategy to optimize image patches of different sizes and positions. The proposed method leverages the strengths of Transformer algorithms by introducing a Frequency Attention Transformer Block (FATB). This block incorporates a frequency attention mechanism that decouples high and low-frequency components within the self-attention layers. By simultaneously focusing on both local and global information in the image, FATB achieves high-quality image reconstruction. Furthermore, to enhance feature fusion during image restoration, we introduce an Adaptive Feature Enhancement Module (AFEM). This module improves the representation capability of features across different stages, thereby further boosting the quality of image restoration. Experimental results demonstrate that the proposed method surpasses the state-of-the-art algorithms in raindrop removal, achieving an improvement of 0.41dB over the best existing algorithm while maintaining higher efficiency. Additionally, the method exhibits strong performance across other public benchmark raindrop removal datasets, indicating its broad applicability. In summary, this research not only advances the field of UAV image de-raindrop but also provides clearer and more reliable images for subsequent visual tasks.
Finite element analysis of bending behaviour of glulam beams reinforced with CFRP plates
Authors: Glišović Ivan , Todorović Marija , Simović Nađa , Pavlović Marko 
Published: August 2024

Abstract

Timber structures can effectively be reinforced using externally or internally bonded fibre reinforced polymer (FRP) composites. This paper presents numerical analysis of bending behaviour of glulam beams reinforced with carbon fibre reinforced polymer (CFRP) plates. Nonlinear 3-dimensional finite element model was developed and validated by experimental tests carried out on beams with CFRP plates strategically located in the tension zone between the bottom two laminations. The numerical analysis was performed using the software package ABAQUS. Glulam beams were modelled using solid elements, while membrane elements were used for CFRP plates. Suitable constitutive relations for each material were utilised in the model. The theory of anisotropic plasticity was applied to include plastic behaviour of timber laminations in the compression zone. The Hill’s criterion for orthotropic materials was used as a condition for transition to the plastic state. The progressive damage model was introduced to effectively tackle the softening behaviour of wood. The numerical results have shown good agreement with the experimental results in relation to load-deflection relationship, ultimate load and elastic stiffness. Nonlinear behaviour of reinforced beams was achieved in the numerical analysis, confirming the finite element model to be accurate past the linear-elastic range.