bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategic Cooperation in Ride-Hailing: Analyzing Operational Efficiency in San Francisco
Authors: Liu Ke , Jiang Gaozhe , Cheng Xi , Hu Xin , Che Chang 
Published: October 2024

Abstract

Ride-hailing services, such as Uber and Lyft, have become integral to urban transportation systems, offering convenience and flexibility to local residents. However, the expansion of these services can contribute to congestion and efficiency problems, particularly in densely populated cities like San Francisco. This study investigates the potential of information sharing between ride-hailing service providers to mitigate congestion and enhance operational efficiency. By leveraging the BEAM (Behavior, Energy, Autonomy, and Mobility) simulation platform, we model various scenarios in which Uber and Lyft either cooperate by sharing operational data or operate independently. The simulation examines key metrics such as passenger waiting time, vehicle repositioning, and the impact of surge pricing on user welfare and supplier profit. Our findings suggest that strategic cooperation between service providers can reduce passenger waiting times and improve resource allocation, though it may also lead to a reduction in supplier profits due to the decreased effectiveness of surge pricing. The results have significant implications for urban transportation policy and the optimization of ride-hailing operations, highlighting the trade-offs between user benefits and supplier profitability in a collaborative framework. Future research should explore the long-term societal impacts of such cooperation, including its effects on traffic congestion and overall social welfare.
Use of shear nails connector to improve UHPC-NC interface bonding performance of functional graded concrete components in offshore structure
Authors: HE Jianmin , WEN Xiaodong , GONG Wenbo 
Published: October 2024

Abstract

This paper designed functional graded concrete components to meet the bearing and durability improvement subjected to marine environment, where the normal concrete (NC) core was used to bear loads and was protected by the ultra-high-performance concrete (UHPC) permanent formwork from chloride ion permeability. By inspiring of transfer printing technology and controlled permeability formwork, a new simple shear nails construction treatment on UHPC formwork was proposed for establishing a connection between UHPC formwork and NC core. In order to study shear nails construction measures on the interface bonding performance between UHPC and NC, UHPC-NC bonding specimens were subjected to double-sided shear tests using the density and distribution spacing of shear nails on the surface of UHPC formwork as experimental parameters. The results showed when the shear nail density ρ ≥ 6.4, the specimen failure transformed into axial compression failure of NC core. The shear stress on the bonding surface increases approximately parabolic with the density of shear nails. Under the same density, the shear stress on the bonding surface of specimens with larger nail spacing was enhanced by 19.04%-41.74% compared to specimens with smaller spacing. The results show that the density and the distribution spacing of shear nails have a significant impact on the shear strength of the UHPC-NC surface. The influence of shear nail density on the shear strength of UHPC-NC interface is greater than that of the distribution spacing of shear nails. Based on comparing and analyzing the existing shear strength models of UHPC-NC bonding surfaces, fully considering the failure mode of bonding surfaces, a calculation formula for the shear strength of prefabricated UHPC-NC bonding surfaces was established. The calculation results have a high degree of agreement with experimental values, which can provide reference for the interface design of UHPC-NC composite specimens.
Application of FCEEMD-TSMFDE and Adaptive CatBoost in Fault Diagnosis of Complex Variable Condition Bearings
Authors: Mao Min , Xu Bingwei , Sun Yuhuan , Tan Kairong , Wang Yuran , Zhou Chao , Zhou Chengjiang , Yang Jingzong 
Published: October 2024

Abstract

A fault diagnosis method based on Fast Complementary Ensemble Empirical Mode Decomposition (FCEEMD)-Time Shift Multiscale Fuzzy Dispersion Entropy (TSMFDE) feature extraction and adaptive Optuna-CatBoost is proposed to accurately and efficiently diagnose complex variable condition bearings. Firstly, using FCEEMD, the bearing vibration signal doped with noise is decomposed into several Intrinsic Mode Functions (IMF) components. Then, based on the Maximal Information Coefficient / Gini Index(CMIC/Gini), each IMF component is quantified and filtered to achieve denoising and reconstruction. Next, TSMFDE is used to extract features from the reconstructed signal and construct bearing fault feature sets for different health states. Finally, use Optuna to achieve adaptive key parameters of Categorical Boosting (CatBoost) classifier. By utilizing the variable speed-bearing datasets of Xi'an Jiaotong University (XJTU) and the University of Ottawa (UO), complex variable working condition fault diagnosis experiments were conducted. The results indicate that FCEEMD can effectively decompose IMF components in the high-frequency to low-frequency range and successfully suppress the mode aliasing phenomenon. The Signal denoising method based on evaluation indicators can effectively screen IMF components and filter out false components (or noise components). TSMFDE can effectively mine the fault characteristics of complex variable working conditions. The Optuna-CatBoost model can identify faults with an average accuracy of 99.76% and 99.33%, respectively, and is a good method for diagnosing faults under variable operating conditions.
Attention-driven Representation Enhancement and Uncertainty Refinement for Polyp Segmentation
Authors: Feng Guangming , Li Huiqian , Yao Jieru , Jia Yiwen , Han Longfei 
Published: October 2024

Abstract

Polyp segmentation is of great significance for the diagnosis and treatment of colorectal cancer. However, the accurate segmentation of polyps remains challenging due to the morphological and textural similarities between the lesions and surrounding tissues. In this paper, we propose an attention-based polyp segmentation method and target learning the visual patterns of lesion regions from the perspectives of representation enhancement and uncertain region refinement. To achieve this, we design Co-attentive Representation Learning (CaRL), which integrates spatial and channel attention mechanisms to effectively enhance the representation by emphasizing critical regions and features. We also propose the Attention-based Uncertainty Refinement (AUR) module, which utilizes attention mechanisms to gradually eliminate false negatives and false positives by refining uncertain regions. Deep networks implemented with CaRL and AUR enhance and refine discrepant yet discriminative features for polyp segmentation in an end-to-end manner. Experimental results demonstrate that our proposed method significantly improves the performance of polyp segmentation in both white light and narrow-band imaging (NBI) modalities while achieving state-of-the-art performance.
Investigating the quality of quinoa (Chenopodium quinoa Willd.) seed under the influence of different levels of irrigation and vermicompost
Authors: Sanandaji Diba Sheykhi , Heidari Gholamreza , Fathi Parviz , Khodaverdiloo Habib , Sharifi Zahed 
Published: October 2024

Abstract

Quinoa (Chenopodium quinoa), a globally sought-after crop for its nutritional value and adaptability, faces increasing demands for sustainable cultivation practices. This two-year study, conducted at the Research Farm of the University of Kurdistan, Iran (2021–2022), investigated the impact of varying irrigation levels and vermicompost application on quinoa yield and seed quality, aiming to reduce chemical fertilizer dependency. The experiment utilized a split-plot based on a randomized complete block design. Four irrigation levels (50%, 75%, 100%, and 125% of quinoa's water requirement) constituted the main factor, while four vermicompost application rates (0, 5, 10, and 15 tons per hectare) formed the sub-factor. The results showed that the 125% water requirement treatment achieved the highest seed yield (2131.51 kg ha− 1) and biological yield (4975.10 kg ha− 1), while the 15 tons per hectare vermicompost application resulted in significant yield improvements, reaching 1784.01 kg ha− 1 for seed yield and 4100.25 kg ha-1 for biological yield. Notably, the highest nitrogen concentration (2.54%) in quinoa seed was observed in the second year with 15 tons per hectare of vermicompost and 50% of the water requirement. Furthermore, the application of 15 tons per hectare of vermicompost led to a 54% increase in phosphorus, 51% increase in potassium, and a 23.79% increase in seed calcium compared to the control treatment. This study highlights the potential of vermicompost and optimized irrigation levels to significantly enhance quinoa yield and improve the nutritional profile of quinoa seeds. These findings promote sustainable agricultural practices by minimizing reliance on chemical fertilizers while optimizing resource utilization.
Research on Traditional Village Clustered Protection and Utilization Methods Based on Network Science -113 Traditional Villages in Eastern Hubei Province as an Example
Authors: Yuan Lei , xu liquan , zhang zhentian , Xu Yan 
Published: October 2024

Abstract

For a long time, China's traditional villages, as a form of heritage, have emphasized the conservation of historical “authenticity”, with limitations imposed on commercial development and capital investment. Most of China's traditional villages are in mountainous, with limited transportation and an underdeveloped economy. With the impact of industrialization and urbanization, many traditional villages face problems such as depopulation and severe labor loss. Economic restructuring and commercial development of these villages are urgently needed. Based on this, China has proposed a demonstration work, “Traditional Village Clustered Protection and Utilization”. This work has changed traditional villages' previous single protection model to a clustered model for heritage preservation and economic development. With 113 state-level traditional villages in the eastern region of Hubei Province as the research object, this study adopts the multi-layer network method to construct a Multiplex Relationship Network of traditional villages based on the Economic Development Network and Cultural Preservation Network. Our research results showed that (1) 7 subgroups were identified using a community detection algorithm that detects the community structure of the Multiplex Relationship Network. Most communities span administrative boundaries and are classified into three categories: within a single county, subgrouped across counties, and dispersed across counties. (2) Core nodes were extracted using three network centrality indicators (average degree, betweenness centrality, and community structure). The core notes include ten of the strongest power nodes, three of the strongest connectivity nodes, and ten "bridge" nodes. The strongest power and connectivity nodes impact the development within their communities, while “bridge” nodes play an essential role in inter-community associations. (3) The correlation results show that the economic development and cultural preservation networks interact with each other. Therefore, the average degree of the multiplex relationship network is significantly influenced by economic factors. The study innovatively uses a multi-layer network to guide the planning and implementation of Traditional Village Protection and Utilization in a Subgroup Planning Mode. It provides disciplinary inspiration and practical guidance for revitalizing and utilizing traditional villages.
Genome-wide KAS-Seq mapping of leukocytes in ischemia-reperfusion model reveals IL7R as a potential therapeutic target for ischemia-reperfusion injury
Authors: Zhang Lei , Duolikun Maimaitiyasen , Chen Hangyu , Wang Zihao , Li Xuehui , Xiao Hong , Dong Yuchao , Chen Haoyu , Liu Fengyong , Fan Shiyong , Lin Jian , Chen Long 
Published: October 2024

Abstract

Background
Ischemia‒reperfusion injury (IRI) is one of the leading causes of mortality and disability worldwide. Owing to its complex pathogenesis, there is still a lack of effective therapeutic targets in clinical practice, and exploring the mechanism and targets of IRI is still a major clinical challenge.
Objective(s):
The goal of this study was to explore the genetic alterations that cause leukocytes in peripheral blood after ischemia‒reperfusion to discover new biomarkers and potential therapeutic targets.
Study Design:
KAS-Seq (Kethoxal-assisted single-strand DNA sequencing) was used to obtain gene expression profiles of circulating leukocytes in a porcine ischemia‒reperfusion model at 24, 48, and 72 hours after ischemia‒reperfusion, which integrated genes that exhibited regular changes over time.
Results
In this study, we thoroughly analyzed the dynamic changes in gene expression post-IRI, revealing changes that were significantly enriched in key signaling pathways regulating immune responses and T-cell activation over time. Particularly striking was our identification of the interleukin-7 receptor (IL7R), which plays a crucial molecular role in IRI. Additionally, via database mining technology, we confirmed the close relationship between IL7R and IRI, explored the interaction between interferon-γ (IFNG) and IL7R in T-cell activation, and clarified their joint influence on ischemia‒reperfusion injury.
Conclusions
Utilizing KAS-Seq analysis of leukocytes from peripheral blood, we successfully delineated the temporal patterns of gene expression and alterations in signal transduction pathways in porcine models of ischemia‒reperfusion. Subsequent in-depth analysis identified IL7R as a potential novel therapeutic target for IRI. The pivotal role of this gene in modulating immune responses offers innovative avenues for the development of IRI treatments.
A cotton swab platform for fluorescent detection of aluminum ion in food samples based on aggregation-induced emission of carbon dots
Authors: Shao Tong , Yang Dou , Wang Xiaoshuang , Wang Ruirui , Yue Qiaoli 
Published: October 2024

Abstract

A novel portable cotton swab based on nitrogen-doped carbon dots (NCDs) for Al3+ detection was constructed for the first time. NCDs with bright green fluorescence were prepared by hydrothermal method with phenylhydrazine hydrochloride and 3-hydroxy-2-naphthoic acid hydrazide as precursors. The surface of NCDs was exposed to abundant functional groups (such as amino, carboxyl, hydroxyl, etc.), which was helpful for the formation of complexes between NCDs and Al3+.In the presence of Al3+, the aggregation of NCDs obviously induced their fluorescence enhancement. Furthermore, the fluorescence quantum yield of NCDs was increased by 12 times with Al3+, and the fluorescence lifetime was increased by 7.54 ns. For the detection of Al3+, the fluorescence intensity was linearly correlated with the concentration of Al3+ (2.5-300 μM), and the concentration of Al3+ with the limit of detection at 0.16 μM. Moreover, for the portable way, cotton swabs were successfully employed to construct the sensors for the detection of Al3+ in food samples. This proposal was potential for the application of analytes in food analysis.
Relationship between plasma proteome and hydrocephalus: a two-sample Mendelian randomization analysis
Authors: Du Senlin , Tao Jiarong , Deng Yi , Wu Miaojing , Fang Hua 
Published: October 2024

Abstract

Background: Hydrocephalus is a serious condition that affects individuals across all age groups, arising from various etiologies. The substantial efficacy of plasma proteome in numerous diseases has been substantiated by multiple studies. We conducted a two-sample Mendelian randomization analysis to investigate the potential association between plasma proteome and hydrocephalus.
Methods: By conducting a two-sample Mendelian randomization analysis, we identified 98 plasma proteins that either increased or decreased the risk of communicating hydrocephalus out of a total of 4,907 proteins. The inverse-variance weighted method for causal effect estimation, as well as the weighted median, maximum likelihood, and MR Egger regression methods, were further employed for sensitivity analyses after selecting the top 20 proteins. Additionally, gene enrichment analysis was performed to uncover relevant functional pathways.
Results: Elevated levels of ADGRF1 (OR=2.728, 95% CI [1.266-5.879], P=0.010), APP (OR=2.923, 95% CI [1.328-6.431], P=0.008), DUSP13 (OR=3.201, 95% CI [1.062-9.647], P=0.039), EPHA3 (OR=4.341, 95% CI [1.031-18.288], P=0.045), HSPA1B (OR=4.578, 95% CI [1.431-14.643], P=0.010), HYAL1 (OR=3.075, 95% CI [1.375-6.881], P=0.006), KIRREL3 (OR=6.067, 95% CI [1.278-28.806], P=0.023), RAD23B (OR=6.825, 95% CI [1.245-37.415], P=0.027), SERPINE1 (OR=3.768, 95% CI [1.452-9.777], P=0.006), SNPH (OR=4.019, 95% CI [1.059-15.252], P=0.041), SRP14 (OR=6.292, 95% CI [1.193-33.189], P=0.030), and TMEFF1 (OR=2.830, 95% CI [1.097-7.300], P=0.031) were associated with an increased risk of hydrocephalus. Additionally, these relevant proteins primarily participate in biological processes associated with axon development, axonogenesis, axon guidance, and neuron projection guidance.
Conclusion: Higher genetically predicted levels of protein ADGRF1, APP, DUSP13, EPHA3, HSPA1B, HYAL1, KIRREL3, RAD23B, SERPINE1, SNPH, SRP14 and TMEFF1 are associated with an increased risk of hydrocephalus. The findings provide valuable insights into potential therapeutic targets, protective mechanisms, and underlying biological processes, ultimately leading to the development of more effective and personalized treatment strategies for individuals with hydrocephalus.
Hazardous Effects of Heavy Metal Pollution on Nile Tilapia in the aquatic ecosystem of the Eastern Delta in Egypt
Authors: Shaalan Walaa M. 
Published: October 2024

Abstract

Introduction: Heavy metal pollution threatens the biodiversity and ecological equilibrium of the Nile River. This study investigates the impact of heavy metal pollution on aquatic animal as Nile tilapia (Oreochromis niloticus) in the Damietta branch of the River Nile and El-Rayah El-Tawfeeky in Benha city in Egypt.
Methods:Fish and water samples were subsequently analyzed using inductively coupled plasma atomic emission spectroscopy (ICP-OES) revealing significantly higher concentrations of Mg, Cd, Hg, Cr, Cu, Ni, Pb, and Zn in fish muscle tissues collected from Damietta branch compared to El-Rayah El-Tawfeeky samples.
Results: Histopathological examinations revealed noteworthy alterations in tilapia gill, liver, spleen, and muscle tissues, suggesting potential health risks. Gene expression analysis using Real time polymerase chain reaction (RT-qPCR indicated) significant changes in genes related to muscle growth (MyoD, IGF-1) and immune response (TNFa, IL6) in fish from Damietta branch relative to fish of El-Rayah El-Tawfeeky.
Conclusion: The findings raise concerns about heavy metals bioaccumulation and potential health implications for consumers. The study underscores the significance of continuous monitoring, utilizing chemical, histopathological, and molecular tools as bioindicators for environmental protection measures against aquatic pollution.
Development of nectar from snap melon, gac fruit and steviol glycosides: changes in physico-chemical properties, antioxidant potential, sensory and microbial qualities during storage
Authors: Raj Anupam , Gomez Saji , Jacob Sharon , Kuruvila Bintu 
Published: October 2024

Abstract

The aim of the current study was to develop low-calorie nectar from snap melon and gac fruit and assess the changes in physicochemical, microbiological and organoleptic characteristics during storage at ambient (34 ± 2°C) and refrigerated conditions (5 ± 2°C) for a duration of three months. Storage of the samples in ambient and refrigerated conditions appeared to be safe from a microbiology perspective. The physico-chemical parameters of the nectar, such as pH, TSS, viscosity, and colour values, decreased, while the titratable acidity increased in the nectar during the course of storage. Moreover, ascorbic acid, phenols, β carotene, lycopene, antioxidant activity, and energy values decreased in the nectar during the storage period. In addition, the reduction in bioactive constituents was more rapid under ambient storage than in refrigerated storage conditions.
The role of soil chemical properties and microbial communities on Dendrocalamus brandisii bamboo shoot quality, Yunnan Province, China
Authors: Cao Jianjie , Chen Qian , Zhang Manyun , Guo Lei , Omidvar Negar , Xu Zhihong , Hui Chaomao , Liu Weiyi 
Published: October 2024

Abstract

The relationship between soil and plants is close and complex, playing a key role in plant growth and quality. However, the intrinsic relationship between soil microorganisms, soil properties and bamboo shoot quality under different geographic seed sources has not been clearly demonstrated. By using 16srRNA and ITS techniques, seven main production areas of Dendrocalamus brandisii in Yunnan province were studied. The results showed that soil chemical properties and microbial communities have a direct positive impact on bamboo shoot quality. Among the bacterial communities, Actinobacteriota, Chloroflexi, Patescibacteria, GAL15, and Cyanobacteria have the most significant influence, with an impact coefficient of 0.865. These bacteria affect the nutritional value of bamboo shoots, including water content, soluble sugar, ash content, protein, and lignin. Regarding soil chemical properties, SOM, pH, AP, and TN values impact the bamboo shoot quality, particularly in terms of water content, soluble sugar, and crude fat. Additionally, among the fungal communities, Basidiomycota, Kickxellomycota, Mucoromycota, unclassified-k-Fungi, and Glomeromycota primarily affect the texture of bamboo shoots, specifically water content and tannin. In summary, soil properties and soil microorganisms are interconnected and work together to bamboo shoot quality, and the bamboo shoot quality could be enhanced by increasing microbial activity through the regulation of soil environmental factors in the efficient cultivation of D.brandisii.
Uncovering the role of c-Fos in the bidirectional relationship between depression/anxiety behaviors and α-synuclein propagation in Parkinson's disease
Authors: Kim Soo-Jeong , Kim Jae-Bong , Ham Seonghui , Park Sang Myun 
Published: October 2024

Abstract

Background
Parkinson's disease (PD) is characterized by motor symptoms and significant non-motor symptoms, such as depression and anxiety, which often precede motor manifestations. This study investigates the bidirectional relationship between depression/anxiety behaviors and α-synuclein (α-syn) propagation in PD.
Methods
We used A53T α-syn transgenic mice, combining chronic restraint stress (CRS) and α-syn preformed fibrils (PFF) injection to explore the relationship. Behavioral assessments and immunohistochemical analyses were conducted to evaluate the effects of CRS and PFF on α-syn propagation and depression/anxiety-like behaviors. Additionally, c-Fos and mGluR5 were examined as potential mediators.
Results
Our findings reveal that depression/anxiety behaviors and α-syn propagation exacerbate each other, creating a vicious cycle that may accelerate PD progression. This interaction is mediated by the neuronal activity marker c-Fos. The c-Fos inhibitor T5224 ameliorated these effects, highlighting its potential as a therapeutic target. Additionally, mGluR5 activation partly contributes to this process.
Conclusions
The critical role of neuronal activity in the interplay between non-motor symptoms and neuropathology in PD suggests that early intervention strategies targeting both aspects may slow disease progression and improve quality of life.