bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning reveals shifting precipitation patterns on the Qinghai-Tibetan Plateau (1980-2020) linked to Southwest Asian monsoon
Authors: duopingzhu  , wang junbang , Li Hao , Yao Bin , Watson Alan E. 
Published: November 2024

Abstract

High precision precipitation estimation with high temporal and spatial resolution is essential for depicting the hydrological process in ecological and environmental researches. Various spatial interpolation algorithms were developed but large uncertainties were found for the Qinghai-Tibetan Plateau (QTP), where meteorological stations are sparsely located over its complex topography. This study developed an Attention-Gated Convolutional Neural Network (A-GCN) algorithm to produce more accurate precipitation spatial interpolation. The spatiotemporal changes were explored in the A-GCN-based precipitation in 1980 to 2020 and its underlying mechanism was analyzed in the view of Asia monsoon. The results showed the A-GCN algorithm, through local connectivity and local region weight sharing in convolutional neural networks, enable better focus on local region features, providing good performance by the comparing with independent observations or the available precipitation datasets. The spatial transition was found in the precipitation interannual trend from a decreasing north and increasing south to an increasing north and decreasing south around the year 2000. The transition could be attributed to the dipole precipitation pattern on a global scale and teleconnection with the Southwest Asia Monsoon enhancing in the early period then weakening since 2005. This study provides a state-of-the-art methodological framework for the spatial interpolation for geographic variable for regions with sparse observations. And precipitation changes would profoundly influence ecological and environment and should be paid more attentions.
Surgical Video Workflow Analysis via Visual-Language Learning
Authors: Li Pengpeng , Shu Xiangbo , Feng Chun-Mei , Feng Yifei , Zuo Wangmeng , Tang Jinhui 
Published: November 2024

Abstract

Surgical video workflow analysis has made intensive development in computer-assisted surgery by combining deep learning models, aiming to enhance surgical scene analysis and decision-making. However, previous research has mainly focused on identifying coarse-grained surgical phases from surgical videos. In order to provide a more comprehensive fine-grained analysis of surgical videos, this work focuses on accurately identifying triplets <instrument, verb, target> from surgical videos. Specifically, we propose a vision-language deep learning framework that incorporates intra- and inter- triplet modeling, termed I2TM, to explore the relationships among triplets and leverage the model understanding of the entire surgical process, thereby enhancing the accuracy and robustness of recognition. Besides, we also develop a new surgical triplet semantic enhancer (TSE) to establish semantic relationships, both intra- and inter-triplets, across visual and textual modalities. Extensive experimental results on surgical video benchmark datasets demonstrate that our approach can capture finer semantics, achieve effective surgical video understanding and analysis, with potential for widespread medical applications.
Si3N4 composite ceramic preparation with kerf loss silicon powder from photovoltaic industry by molten salt assisted nitriding method
Authors: Yu Jing-yang , Li Jing-wei , Lin Yin-he , Shi Jian , Zhang Lin , Luo Pai-feng , Ran Gao-tao , Chen Jun-wei , Tang Wen-ming 
Published: November 2024

Abstract

In this paper, Si3N4 composite ceramic were synthesized with kerf loss silicon waste powder as the raw material by molten salt assisted nitridation method. Na3AlF6 molten salt was introduced into the system and the effects of Si-salt ratio, nitridation temperature on the nitriding product were investigated. These results indicated that the addition of Na3AlF6 promotes the conversion of waste silicon to Si2N2O, and 90.7% of Si2N2O phase was obtained with the Si-salt ratio of 1:1.5 at 1350℃. The increase in temperature causes the main phase of the product changes from Si2N2O to β-Si3N4, which is due to the decomposition of Si2N2O and the α→β phase transition of Si3N4. And the content of β-Si3N4 phase reached 72.9% with the Si-salt ratio of 1:0.75 at 1450℃. The formation mechanism was analyzed combined with the in-situ nitriding process.
Lab life, seasons and chromosome fusions restrict non-cell-autonomously proliferation and neurogenesis, but not oligodendrogenesis, in mice and voles
Authors: Rapti Athanasia , Androutsopoulou Theodosia , Andreopoulou Evangelia , Mellou Maria , Leventakos Georgios , Anesti Maria , Mastori Konstantina , Chatzopoulou Myrto , Smyrli Paraskevi , Mitsainas Georgios P , KAZANIS ILIAS 
Published: November 2024

Abstract

Environmental and behavioral factors have been shown, in experimental settings, to affect neurogenesis in the mouse brain. We found that the density of proliferating neural stem/ progenitor cells (NSPCs) and of neuroblasts was significantly lower in the Subependymal Zone stem cell niche of lab mice when compared with mice and pine voles captured in the wild, with seasonal variation observed only in voles. Moreover, levels of proliferation and neurogenesis were found to decrease in proportion to the decrease in the numbers of chromosomes (from the typical 2n = 40 down to 2n = 26) caused by Robertsonian fusions. In contrast, oligodendroglial progenitors and microglial cells were unaffected by wildlife, seasons and chromosomal fusions. When NSPCs were grown in cultures no differences were detected, suggesting that environmental and genetic effects are mediated by non-cell-autonomous mechanisms. These “real-world” data provide a platform for the identification of systemic factors and genetic loci that control postnatal brain neurogenesis.
In hospital mortality and associated factors among patients admitted with myocardial infarction at public referral hospitals, Bahir Dar, Ethiopia, 2023. A multicenter three years, retrospective cross-sectional study
Authors: Demilew Tadele , Yabebal Yihealem , Hunegnaw Wubet , Agumas Yeshambel , Kassa Agerye , Bekele Birtukan , Girma Aron 
Published: November 2024

Abstract

Background: The prevalence of ischemic heart disease is increasing in Sub Saharan Africa countries, but adequate data are lacking regarding the in hospital mortality and associated factors.
Objective: To assess the magnitude of in hospital mortality due to myocardial infarction and associated factors among hospitalized patients at two public referral hospitals, Bahir Dar, Ethiopia, 2023.
Methods: Institution based retrospective cross-sectional study was conducted, using sample size of 317, among patients who were hospitalized between November 2020 to December 2023 due myocardial infarction in two public referral hospitals at Bahir Dar, Ethiopia. Pre-developed check list were used to extract data from the medical registry. Data were entered using Epidata Manager Version 4.6 and analyzed using SPSS version 27. Multivariate logistic regression analysis was used, considering with a p-value of <0.05 as statically significant, with a 95% confidence interval.
Result. The in-hospital mortality rate was 21.5% (95% CI: 16.6, 25.9). Age greater than 65 (AOR 6.85, 95% CI 1.58-29.71), presence of diabetes mellitus (AOR 7.02; 95% CI 2.47-19.91), high level of serum troponin (AOR=9.98; 95% CI: 4.06-24.53), elevated serum creatinine (AOR=4.21, 95% CI-1.47-12.08), higher Killip class (AOR-15.52, 95% CI: 5.19-46.46),and STEMI (AOR=5.75; 95% CI-1.66-19.87) were factors associated with in hospital mortality due MI.
Conclusion and recommendation: The in-hospital mortality due MI was found to be high and it was associated with advanced age, high Killip class, STEMI, high serum troponin, diabetes mellitus and high serum creatinine. Addressing these major factors and effective preventive tools are required to reduce this burden.
Filamentous fungi control multiphase flow and fluid distribution in heterogeneous porous media
Authors: Kang Peter , Lee Sang Hyun , Moura Marcel , Srivast Shreya , Santelli Cara 
Published: November 2024

Abstract

Filamentous fungi are ubiquitous across diverse systems and play crucial roles in global carbon and nutrient cycling1–3, soil carbon sequestration4–6, agricultural soil management7–9, contaminant fate and transport10–13, biofouling of engineered materials14,15, and human health16,17. While these processes typically involve multiple fluid phases in porous media, the mechanisms by which fungi regulate fluid flow remain poorly understood, limiting our ability to predict and harness fungi-mediated processes. The complexity and opacity of porous media further obscure our understanding of how fungi influence fluid flow and distribution. In this study, we use a dual-porosity microfluidic chip, featuring a flow channel embedded within tight porous media, to explore the impact of filamentous fungi on multiphase flow and fluid redistribution. Our pore-scale visualizations uncover that filamentous fungi can actively induce multiphase flow and mobilize trapped fluid phases in porous media through localized clogging and hyphal-induced pore invasion, enhancing the oil-water interfacial area and redistribution of fluid phases. This study reveals novel mechanisms by which filamentous fungi influence fluid flow and distribution, offering new insights into harnessing fungal processes to enhance critical applications such as bioremediation and carbon sequestration.
Action of Fungal Filtrates on Alternaria Linariae and on Development of Tomato Early Blight
Authors: de Morais Amanda Felchak , Sapelli Karla Siebert , Schwan-Estrada Kátia Regina Freitas , Mazaro Sérgio Miguel , Faria Cacilda Marcia Duarte Rios 
Published: November 2024

Abstract

The high soil and climate adaptability of tomato (Solanum lycopersicum L.) is one of the main factors that has sparked worldwide interest in this crop, encouraging its large-scale exploitation. However, this expansion also contributes to the emergence of associated phytosanitary problems, likepathogens such as Alternaria spp., the etiological agent of the disease known as early blight, one of the main diseases that occurs in this crop. Some fungal species have shown positive responses in inducing plant resistance to pathogens. Thus, the aim of this study was to evaluate the effect of the application of fungal filtrates of Ganoderma lucidum, Pleurotus ostreatus andTrichoderma asperellum on the development of A. linariae, as well as its effect on the development and post-harvest of tomato plants grown in a greenhouse and inoculated with the pathogen. For this purpose, evaluations of antagonistic potential, vegetative development, photosynthetic capacity during the crop cycle, and post-harvest quality of the fruits were performed. In vitro test demonstrated that all treatments are effective to control A. linariae and, when tested in greenhouse, were also able to reduce the development of the disease by reducing the area under the disease progress curve and the percentage of severity. Other tests demonstrated that plants treated with filtratedG. lucidumbiomass presented a good physiological response to the induction of resistance against A. linariae and can be used as BCA in the management of diseases in tomato plants, promoting better physiological and productive responses of the crop.
Double Threshold Handover Algorithm for High-Speed Railway Signaling Based on LSTM
Authors: Cheng Shuting , Wang Yongxing , Xiao Shuyan , Tao Weige 
Published: November 2024

Abstract

During the operation of high-speed trains, handovers between base stations are necessary to ensure continuous communication. However, traditional handover algorithms are no longer adequate for the needs of high-speed trains. Therefore, a dual-threshold handover algorithm based on LSTM prediction is proposed to improve communication quality. Firstly, two size thresholds are set. The Long Short-Term Memory (LSTM) neural network is used to predict the handover hysteresis threshold parameters. If the predicted value is less than the smaller threshold, it is replaced by the predicted value; if the predicted value is greater than the larger threshold, it is replaced by the predicted value. The in-depth analysis of the experimental results further elucidates the remarkable advantages of the proposed LSTM based dual-threshold handover algorithm for high-speed rail signal systems. Specifically, this algorithm not only significantly enhances the success rate of handovers but also effectively reduces the ping-pong handover rate, which is crucial for ensuring communication continuity and stability in high-speed mobile environments. This not only alleviates network load but also minimizes communication interruptions and delays caused by frequent handovers, thereby notably improving passengers' communication experience quality.
Working from home and job satisfaction: the role of gender and personality traits
Authors: Esposito Piero , Mendolia Silvia , Scicchitano Sergio , Tealdi Cristina 
Published: November 2024

Abstract

In this paper we investigate the effect of working-from home (WFH) on different components of employees’ job satisfaction, focusing on the role of gender and personality traits. Using longitudinal data from Italy, we estimate a difference-in-differences model, where treated individuals are those who transitioned to remote work due to the COVID-19 pandemic. Our findings reveal that WFH exhibits a positive influence on job satisfaction, albeit exclusively among women, depending on personal characteristics. Specifically, this effect is stronger among women with high levels of openness and agreeableness, whereas those with high neuroticism levels tend to be less satisfied when working remotely.
JEL classification: J28, J81, J16.
Study of novel ultra-high performance concrete by replacing cement with different particle size of wollastonite
Authors: Li Guanjie , Liu Danyang , Liu Ying , Wang Jingwei , Xu Shouyan , Xia Hongtu , Luo Feng 
Published: November 2024

Abstract

Ultra High Performance Concrete (UHPC) has been has been used far and wide in architectural field. Wollastonite microfiber (WF) has been shown to be effective in improving the brittle performance of UHPC. In this work, a series of Wollastonite Microfiber-Ultra High Performance Concrete (WF-UHPC) were synthesized by using WF as a low-activity fiber powder admixture to replace parts of cement in UHPC. Due to the smooth surface, the introduction of WF had improved the fluidity of UHPC slurry, which could make it fill all parts of the formwork more evenly. The maximum flexural strength and compressive strength of WF-UHPC could reach 19.5 MPa and 172.6 MPa in 28-day period, which were higher than that of UHPC. Furthermore, microfiber size of WF played a better bridging role, resulting in WF-UHPC possessed better shrinkage inhibition effect. The anti-freezing results indicated that the mass loss and strength loss of WF-UHPC after 300 freeze-thaw cycles were significantly reduced with the addition of wollastonite. This work provides consideration for the innovation of UHPC technology in the future and the research of replacement cement to mineral admixtures in UHPC.
An Efficient and Secure Big Data Sharing Scheme in IoT Based Information System
Authors: Lu Peng , Lu Xiuqing 
Published: November 2024

Abstract

With the rapid development of big data and Internet of Things, information sharing has become increasingly important in different information systems. However, the information system includes a large amount of sensitive information such as financial and customer data, which is vulnerable to privacy threats during data sharing. Furthermore, Internet of Things devices are usually resource limited and require lightweight operations. Therefore, it is particularly important to ensure security and high performance while achieving proper big data sharing in Internet of Things based information system. The paper proposes a private and efficient information sharing scheme based on pairing-free attribute encryption algorithm. Firstly, the scheme designs an encryption-based information platform sharing mode, which increases information confidentiality and security with authorized access. Secondly, the scheme proposes an information sharing model to describe the relationships of the entities during information sharing. Finally, the scheme implements detailed algorithms and simulates computation overhead in information sharing. The scheme not only realizes secure sharing of sensitive data in information system, but also ensures privacy and efficiency in information sharing process.
Free vibration characteristics of functionally graded sandwich doubly curved shallow shells via an accurate finite element model
Authors: Benounas Soufiane , Belarbi Mohamed-Ouejdi , Vinh Pham Van , Garg Aman 
Published: November 2024

Abstract

Problems associated with sandwichs laminates, such as delaminates and stress concentrations, paved the way for functionally graded materials (FGM). The present work aims to predict the free vibration behavior of cylindrical, spherical, hyperbolic, and elliptical functionally graded sandwich shallow shells. The study was carried out via an improved first-order shear deformation theory in the framework of eight-noded C0 isoparametric finite element with five degrees of freedom per node. Four different layup arrangements of functionally graded material and isotropic materials are adopted during the present study. Comparisons with reference solutions for various FG sandwich shell configurations and boundary conditions verify that the proposed finite element model is accurate, presents a fast rate of convergence to the reference results, and is valid for both thin and thick FGM sandwich doubly curved shallow shells. Moreover, the influences of the power-law index, radius of curvature, material distribution, side-to-thickness ratio, face-to-core-thickness ratio, and boundary conditions on the natural frequencies of symmetric and nonsymmetric FGM sandwich shells are thoroughly discussed. The nature of the material adopted within the layers of the shell, i.e., isotropic or functionally graded material, widely governs the behavior of the shell along with the power-law coefficient. For shells with a functionally graded face layer along with a ceramic core or top metallic phase followed by an FGM and a ceramic phase for the bottom layer, the values for the nondimensional natural frequency decrease with increasing power-law coefficient. Several new results are also presented, which will serve as benchmarks for future studies. The results demonstrate that the developed C0 finite element model exhibits excellent accuracy and computational efficiency in capturing the free vibration characteristics of FG sandwich doubly curved shallow shells, making it a suitable tool for practical design and analysis.
A novel preparation method and performance evaluation polyacrylic acid high-carbon alkyl esters
Authors: Zhang Tiantian , Li Kunyu , Gao Yuwei , Liu Ting , Ma Zhengsheng 
Published: November 2024

Abstract

Polyacrylic acid high-carbon alkyl esters provide unique advantages in the field of diesel oil low-temperature flow modification, crude oil demulsification and heavy oil viscosity reduction, so these approaches have been widely considered. In this paper, a novel method is proposed for preparing polyacrylic high-carbon alkyl esters, which involves an initial polymerization step and a subsequent esterification step as opposed to the traditional approach encompassing initial esterification and subsequent polymerization. In the initial step, acrylic acid, methyl acrylate, maleic anhydride and methacrylic acid were selected as monomers are prepared separately via polymerization in aqueous solution, and a novel redox initiation system comprising ammonium persulfate (APS) and N, N-diethyl hydroxylamine (DEHA) is established for the first time to regulate the molecular weight distribution of the polymer. In the second step, the polymer is esterified with different high-carbon alcohols under catalyst to obtain products with various ester groups. Notably, the use of poly(tetradecyl acrylate) could reduce the cold filter point of base diesel to 4–5℃ and the freezing point to 1℃. The application of poly hexadecyl acrylate could reduce the viscosity of heavy oil. Moreover, the viscosity reduction rate of the oil sample was 32.5%, and the pour point of heavy oil was reduced from 5℃ to 3℃.
Coordinated Multi-Level Scheduling Method Considering Uncertainty of Renewable Energy and Load
Authors: Song Bingbing , Qin Kangping , Wen Min , Zhu Moyan , Zou Kaiming 
Published: November 2024

Abstract

As renewable energy continues to be widely integrated, the energy structure is gradually transforming. The increasing grid connection of wind and photovoltaic power signifies a major shift in the energy mix. This change is particularly evident in heavy load areas at the regional grid and provincial dispatch levels, where uncertainties on both the supply and demand sides impact the daily operation of power systems. New dispatch strategies are urgently needed to address these uncertainties. This paper introduces a two-stage day-ahead and intra-day coordinated multi-level dispatch method that considers both the regional-level and provincial-level power systems, addressing supply-demand uncertainties from the perspective of regional grid-level and unmet load peak shaving. Unmet load refers to the load that cannot be met solely by the output of regional grid units. At the regional grid level, a unit dispatch model for unmet load peak shaving is developed. We introduce the concept of unmet load and, based on peak-valley weighting, propose a multi-province load peak shaving method, improving the approach to unmet load considerations. At the provincial level, a two-stage robust optimization dispatch model is constructed based on regional grid dispatch, and it is solved using the Karush-Kuhn-Tucker (KKT) conditions and the Column-and-Constraint Generation (C&CG) algorithm. Finally, case study results validate the proposed model's effectiveness, demonstrating its ability to provide an optimized coordinated grid-provincial dispatch strategy under supply-demand uncertainty.