bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solution of convection-diffusion model in groundwater pollution
Authors: Rashidinia Jalil , Momeni Arefeh , Molavi-Arabshahi Mahboubeh 
Published: November 2023

Abstract
This research involves in the development of the spectral collocation method using Bernoulli polynomials to the solution for time fractional convection-diffusion problems arising in groundwater pollution. The main aim is to develop the operational matrices as well as fractional derivative. The advantage of our approach is to orthogonalize the Bernoulli polynomials for sake of creating sparse operational matrices for derivatives in which having one sub diagonal non-zero entries only, andalso creating operational matrix for fractional derivative to obtained the diagonal matrix. Due to these, the convergence of our approach is fast with low cost computations. Discussion on the error analysis for the presented approach is given. Two test problems are considered to illustrate the effectiveness and applicability of our method. The maximum absolute error inthe computed solution compare with the existing method in the literature. The comparison shows that our method is more accurate and easy implemented
Exploring the Destructive Synergy Between IL-33 and Suilysin Hemolysis on Blood Brain Barrier Stability
Authors: Yang Fu , Jing jie , Liang Lei , Mengmeng Liu , Junjie Wang , Liancheng Lei , Hongtao Liu 
Published: November 2023

Abstract
Streptococcus suis type 2 (SS2) is a zoonotic pathogen capable of eliciting meningitis, presenting significant challenges to both the swine industry and public health. Suilysin (Sly), one of SS2 most potent virulence determinants, releases a surfeit of inflammatory agents following red blood cell (RBC) lysis. Notably, while current research on Sly role in SS2-induced meningitis predominantly centers on its interaction with the blood-brain barrier (BBB), the repercussions of Sly hemolytic products on BBB function have been largely sidestepped. In this vein, our study delves into the ramifications of Sly-induced hemolysis on BBB integrity. We discern that Sly hemolytic derivatives exacerbate the permeability of Sly-induced in vitro BBB models. Within these Sly hemolytic products, Interleukin-33 (IL-33) disrupts the expression and distribution of Claudin-5 in brain microvascular endothelial cells, facilitating the release of Interleukin-6 (IL-6) and Interleukin-8 (IL-8), thereby amplifying BBB permeability. Preliminary mechanistic insights suggest that IL-33-driven expression of IL-6 and IL-8 is orchestrated by the p38-mitogen-activated protein kinase (p38-MAPK) signaling, whereas matrix metalloproteinase 9 (MMP-9) mediates IL-33-induced suppression of Claudin-5. To validate these in vitro findings, an SS2-infected mouse model was established, and upon intravenous administration of ST2 antibodies, in vivo results further underscored the pivotal role of the IL-33/ST2 axis during SS2 cerebral invasion. In summation, this study pioneerly illuminates the involvement of Sly hemolytic products in SS2-mediated BBB compromise and spotlights the instrumental role and primary mechanism of IL-33 therein. These insights enrich our comprehension of SS2 meningitis pathogenesis, laying pivotal groundwork for therapeutic advancements against SS2-induced meningitis.
Enhanced mechanical, thermal, and erosion resistance properties via the synergetic effect of n-ATH/LMGP added ceramifiable silicone rubber composites for electrical insulation
Authors: J Manoj Dhivakar , Kornhuber Stefan , Sarathi Ramanujam 
Published: November 2023

Abstract
The present work is focused on investigating the mechanical, thermal, and electrical erosion resistance properties of newly developed silicone rubber composites with micro-size-low melting glass powder (LMGP) and nano-size alumina trihydride (n-ATH). Utilizing the fluorescent fiber, a new erosion testing method has been developed. The intensity of the signal generated from the fluorescent fiber explains the severity of damage caused by electrical inception followed by arcing and erosion. LMGP filler exhibits good thermal stability, arc resistance, and flame-retardant properties by forming a ceramic structure between ATH and silicone rubber matrix. With ATH/LMGP-filled hybrid samples, the formation of fire cinders is observed rather than flame formation in virgin silicone rubber samples at the time of erosion. Very little temperature rise is observed at the time of erosion with the LMGP-added samples. Compared to virgin material, the hybrid composite material shows a mechanical improvement of 13.03% in tensile strength and 12.47% in tear strength. The synergetic effect of the ATH and LMGP fillers enhances the thermal conductivity of the silicone rubber matrix by 59.34%. FEM studies revealed the basic understanding of the local hotspot reduction with the addition of high thermal conductive fillers and its effect on erosion resistance.
Improving the performance of a spectral model to estimate total nitrogen content with small soil samples sizes
Authors: Tang Weihao , Hu Wenfeng , Li Chuang , Wu Jinjing , Liu Hong , Wang Chao , Luo Xiaochuan , Tang Rongnian 
Published: November 2023

Abstract
The application of near-infrared spectrum spectroscopy (NIRS) for rapid quan titative analysis of soil total nitrogen (STN) is of great significance to recycling nitrogen in the ecosystem and crops growth. However, collecting thousands of soil samples and chemical annotation are impracticable, more importantly a deviation from NIRS advantages of rapid, costless and nondestructive. To improve the estimation performance and reduce uncertainty of the model under small sample sizes, new solutions from soil spectral data augmentation and model fusion were investigated. Specifically, 123 Latosols samples were collected, and decomposed by particle sizes to generate more data from multiple scales. Subsequently, based on the augmented data, multi-modal fusion methods were implemented. The results showed that the proposed method increased the scale of spectral data, mined more STN-related spectral information, improved estimation accuracy, and reduced uncertainty. The fusion model based on augmented data yielded optimal estimated results (root mean square error (RMSE) = 0.082g.kg−1) R2 = 0.779, and a ratio of performance to interquartile distance (RP IQ) = 3.428) on the validation set. In addition, we explored the impact of different model fusion strategies and proposed soil data augmentation method for estimating. From a 10-folds validation, the R2 cv of the weighted fusion model with using augmented data was increased by 0.285, and RP IQ was 1.015 improved than model constructed from conventional machine learning (ML) technique and pristine limited data (R2 cv = 0.432, RP IQ = 2.294). Therefore, in the scenario of using NIRS to build a rapid and accurate STN predictive models, the proposed method shows great potential in improving model reliability under small sample sizes.
Blade Optimization of Multi-Blade Centrifugal Fan: Experimental and simulation study
Authors: Zhao Hanqing , Li Yiping , Zheng Tongfu , Bao Ming , Huang Jiayu , Li Congcong , Zhao Jie , Zhang Kai 
Published: November 2023

Abstract
To overcome the technical challenges of the multi-blade centrifugal fan, such as low efficiency and insufficient total pressure, the single-arc blades of the fan were optimized and replaced in this study. The flow field of the multi-blade centrifugal fan with a single-arc blade and an airfoil blade was simulated and compared using Computational Fluid Dynamics (CFD). Under steady-state conditions, the total pressure, velocity field distribution, and aerodynamic performance of a multi-blade centrifugal fan were analyzed. The numerical results show that the presence of vortices, secondary flows, and boundary layer separation in the flow channel of a single-arc multi-blade centrifugal fan. Combined with the lift-to-drag ratio theory of aerodynamic airfoil, four different airfoil blades were selected for the multi-blade centrifugal fan. It can be found that the lift-to-drag ratio of the airfoil was positively correlated with fan efficiency. Furthermore, the airfoil blade can suppress the above phenomena in the flow channel and enhance the flowability of the blade flow channel. Verified experiments on airfoil effects showed a 3%-7% efficiency improvement in the multi-blade centrifugal fan compared to the single-arc blade. Additionally, the airfoil fan exhibited substantial enhancements in total pressure and power. These findings hold significance for guiding optimal fan design.
Modified capillary number to standardize droplet generation in suction driven microfluidics
Authors: Panwar Jatin , Roy Rahul 
Published: November 2023

Abstract
In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the role of geometry along with suction pressure in the dynamics of droplet generation to develop a predictive model. We conducted a comprehensive characterization of droplet generation in a flow focusing device with varying control parameters. We used these results to formulate a scaling argument and propose a governing parameter, called as modified capillary number (CaL), that combines normalized droplet volume with geometrical parameters (length of dispersed and continuous phase channels) and flow parameters (interfacial tension, phase viscosity and velocity) in a power-law relationship. CaL effectively captures the transition from squeezing and dripping regimes of droplet generation, providing essential insights into the design requirements for suction-driven droplet generation. These findings are key to standardize microfluidic flow-focusing devices that can achieve the desired droplet generation behavior with optimal pressure consumption.
Mapping Stiffness Landscape of Heterogeneous and Anisotropic Fibrous Tissue
Authors: Chavoshnejad Poorya , Li Guangfa , Liu Dehao , Razavi Mir Jalil 
Published: November 2023

Abstract

Finding the stiffness map of biological tissues is of great importance in evaluating their healthy or pathological conditions. However, due to the heterogeneity and anisotropy of biological fibrous tissues, this task presents challenges and significant uncertainty when characterized only by single-mode loading experiments. In this study, we propose a new method to accurately map the stiffness landscape of fibrous tissues, specifically focusing on brain white matter tissue. Initially, a finite element model of the fibrous tissue was subjected to six loading modes, and their corresponding stress-strain curves were characterized. By employing multiobjective optimization, an equivalent anisotropic material model was inversely extracted to best fit all six loading modes simultaneously. Subsequently, large-scale finite element simulations were conducted, incorporating various fiber volume fractions and orientations, to train a convolutional neural network capable of predicting the equivalent anisotropic material model solely based on the fibrous architecture of any given tissue. The method was applied to imaging data of brain white matter tissue, demonstrating its effectiveness in precisely mapping the anisotropic behavior of fibrous tissue. The findings of this study have direct applications in traumatic brain injury, brain folding studies, and neurodegenerative diseases, where accurately capturing the material behavior of the tissue is crucial for simulations and experiments.
Antimalarial effect of ethanol extract of Parinari curatellifolia stem-bark in Plasmodium berghei-NK 65 infected mice
Authors: Michael Lomi Oruchukwu , Joshua Parker Elijah , Amah Christian Chijioke , Okoro Ikechukwu Jacob , Felix Joshua Ogah 
Published: November 2023

Abstract
Background
The use of Parinari curatellifolia for the management of malaria by Africans without scientific validation, prompted this study, to investigate the antimalarial effect of ethanol extract of Parinari curatellifolia stem bark (EEPCSB) in Plasmodium berghei (NK-65)-infected mice.
Method
Thirty mice (16–21 g) were grouped into six of five mice each. Group 1 (uninfected) served as normal control while groups 2–6 were infected. Group 2 (positive control) was untreated while group 3 (standard control) received 20/120 mg/kg b.w. of arthemeter/lumefantrine, groups 4–6 received 200, 400 and 600 mg/kg b.w. of EEPCSB respectively. The treatment lasted for four consecutive days. Parasitemia, heamatological and biochemical tests were carried out using established methods. The obtained data were analysed using one-way analysis of variance (ANOVA).
Result
The extract significantly (p < 0.05) suppressed the parasitemia, and produced significant (p < 0.05) increase in the PCV, RBC, and Hgb and a significant (p < 0.05) decrease in the WBC of groups 4–6 compared to the positive control. The liver function marker enzymes - AST, ALT, ALP, and total bilirubin were all significantly (p < 0.05) reduced in the treated animals, while there was a significant (p < 0.05) decrease in the total cholesterol, triacylglycerol and LDL, and a significant (p < 0.05) increase in the HDL of the infected animals compared to the positive control. While there was a significant (p < 0.05) reduction in lipid peroxidation marker MDA in the treated groups, the activities of the SOD and catalase, significantly (p < 0.05) increased compared to the positive control. The GSH concentration reduced significantly (p < 0.05) in the treated groups compared to the untreated group.
Conclusion
The extract showed excellent antimalarial effect by reducing parasitemia and reversing haematological and biochemical aberrations in Plasmodium berghei-infected mice as demonstrated in this study. Therefore, Parinari curatellifolia stem bark could be a source of lead compound for a novel and effective antimalarial drug.
Detection Method of Smart Meter Carrier Module Pin Based on Blob Analysis
Authors: Zhou Shuai , Zhang Jia , Luo Yong , 邢 家瑞 
Published: November 2023

Abstract
In order to achieve automatic detection of pin defects in smart meter carrier module, a machine vision detection method based on Blob analysis is proposed in this paper. Firstly, the interface region of carrier module is segmented using the maximum class variance method combined with perspective transformation. Secondly, a two-stage identification strategy based on Blob analysis is proposed to complete the rough positioning of the pins, which takes the distribution rules of the pins as constraint conditions. The spot is extracted by adaptive binarization strategy. Finally, the centroid method was used to calculate the spot center of the pin, which is registered with the template point set. The defect detection of the pin was completed according to the offset of each pin.
Experimental characterization of humerus bones with complex fracture patterns and fixation systems via laser vibrometry
Authors: Carboni Biagio , Guruva Sawan Kumar , Gumina Stefano , Candela Vittorio , Tirillò Jacopo , Sergi Claudia , Valente Teodoro , Lacarbonara Walter 
Published: November 2023

Abstract
This work discusses a comparative experimental investigation into specimens mimicking healthy humerus bones and fractured bones subject to an innovative surgery procedure and to a classical technique defined as the gold standard surgery. The new surgery technique consists in the installation of an external fixation mechanism (fixator) that constrains in defined positions a certain number of titanium slender bars inserted and clamped to the fractured bones according to different spatial patterns. The mechanical properties of the material constituting the artificial bones are obtained by means of compressive tests while a SEM imaging is employed to characterize the morphology of the fracture surface. A 3D laser vibrometer is employed to acquire the resonance frequencies and the associated operational deflection shapes of the specimens subject to piezoelectric actuation. The same experimental configurations are employed to acquire the mechanical waves propagating from the actuators across the surface of the bones. The analysis of the results provides insights into which configuration of the fixator performs better for a fast recovery using as references the healthy bones and the gold standard surgery. The experimental campaign paves also the way towards the adoption of advanced techniques employed for the mechanical characterization of materials and structures in biomedical applications with the additional aim of extracting data-driven models of the systems.
Malaria Notifications in Legal Amazon, Brazil (2003-2022): A Comprehensive Dataset for Research &amp; Surveillance
Authors: Monteiro Kayo Henrique de Carvalho , Rocha Elisson da Silva , Neto Sebastião Rogerio da Silva , Maia Leonardo de Carvalho , Peterka Cássio , Dourado Raphael Augusto , Sampaio Vanderson Souza , Endo Patricia Takako 
Published: November 2023

Abstract
Background Malaria remains a significant threat to global health, with substantial economic and public health implications. In 2019, over 247 million cases of malaria were reported, resulting in 619,000 deaths. More than 42 million Brazilians are at risk of developing malaria, with cases concentrated in the Legal Amazon region (WHO, 2020). Malaria continues to be a major public health issue in Brazil.
Methods In this study, we focus on predicting malaria cases in the high-incidence region of Legal Amazon. Our investigation contributes in two main ways: by developing a comprehensive data preprocessing methodology for the SIVEP-MALARIA dataset and by providing the preprocessed dataset to enhance research reproducibility. Subsequently, we employ two machine learning models, SVR and Random Forest, to predict malaria cases in Legal Amazon states. Our analysis spans different states and malaria categories, assessing model performance using RMSE and MAE metrics.
Results The results indicate that the SVR model outperformed for the Vivax and Falciparum Malaria datasets. Random Forest exhibited superior performance in states and malaria categories with limited case notifications, providing accurate predictions even when no notifications were available.
Conclusions Evaluating each state individually and considering each malaria type is an approach for policymakers to tailor public policies according to each state's specific needs. Ongoing actions and innovative approaches are essential in the fight against malaria, where the integration of predictive tools leveraging epidemiological data stands out as a promising strategy to overcome this global challenge. Our findings point towards a potential path to malaria elimination in the Legal Amazon region.
Penerapan User Interface Design Pattern untuk Situs Web Katalog Seni Pertunjukan Indonesia
Authors: I Nyoman Marcel Mahardika  , Purwadi Joko , Susanto Budi 
Published: November 2023

Seni pertunjukan memainkan peran penting dalam keragaman budaya Indonesia. Namun, masih belum banyak media yang mempublikasikan informasi terkait seni pertunjukan kedalam satu pusat informasi. Berdasarkan permasalahan yang dijelaskan, maka diperlukan situs web seni pertunjukan yang dapat menampilkan informasi terkait seni pertunjukan dan memiliki desain antarmuka yang baik.
Pada penelitian ini, dilakukan perancangan antarmuka untuk situs web seni pertunjukan dengan menerapkan pola desain antarmuka pengguna sebagai solusi dalam perancangan antarmuka. Untuk menghasilkan desain antarmuka yang dapat memenuhi harapan pengguna, digunakan metode User Centered Design (UCD) dalam melakukan proses perancangan antarmuka.
Hasil pengujian menunjukan bahwa desain antarmuka memiliki tingkat efektivitas dan efisiensi yang baik, dengan nilai efektivitas sebesar 97.85% dan nilai efisiensi sebesar 96.94%. Selain itu, pengujian situs web dilakukan menggunakan metode SUS yang mendapatkan tingkat kebergunaan untuk situs web seni pertunjukan sebesar 82.87. Dari hasil yang didapatkan mengindikasikan bahwa situs web seni pertunjukan dapat diterima dan digunakan dengan baik oleh pengguna.
Sustainable synthesis of superhydrophobic textile filters for oil/water separation using biomass waste-derived Bio-Ag nanoparticles
Authors: Beagan A. , Chen C. , Mohamed M. E. 
Published: November 2023

Abstract

Separation of oil and water has become a daunting task at a global scale due to the frequent presence of industrial oily wastewater. This study describes the synthesis of a Bio-Ag nanoparticle and its utilization in fabricating superhydrophobic (SH) films on textile fibers for separating oil–water mixture. The Bio-Ag nanoparticles were prepared from grape seed extract. The study examined various aspects of the synthesized SH textile fiber, including its morphology, wettability, surface composition, chemical stability, mechanical stability, oil absorption capacity, oil–water separation performance, and flux rate. The results indicate that the developed Bio-Ag-based SH textile filter has excellent SH properties, with a low water sliding angle of 1° and a high water contact angles of 159°. The SH textile filter exhibited good separation efficiency, oil absorption capacity, and flux rate toward silicone oil, toluene, and petroleum ether. The SH textile filter also demonstrated satisfactory chemical and mechanical stability. The developed Bio-Ag-based SH textile filter has the potential to be an efficient material for oil–water separation applications.
Impact of coastline orientation on the dynamics of foredune growth (Łeba Barrier, south Baltic Sea coast, Poland)
Authors: Dłużewski Maciej , Dłużewska Joanna Rotnicka , Hesp Patrick Alan , Tomczak Joanna Oliwia , Dubis Lidiya 
Published: November 2023

Abstract
There are many factors controlling the aeolian sand transport rate on the beach and thus, variation in rates can impact foredune development. This study analyses coastline orientation as one such factor. The research was conducted at two sites on the Łeba Barrier, south Baltic Sea coast, Poland, located 4.2 km apart and which differed in coastline orientation by 20°. Based on wind data the potential aeolian sand transport rate for the period 2006–2017 was calculated. It appeared that taking into account the coastline orientation, the landward sand transport strongly exceeded the seaward and alongshore transport at one site, whereas the other site was dominated by alongshore sand transport. Topographic surveys carried out every 6 months showed that net sand deposition within the foredune at the coast dominated by landward transport was two and a half times greater than at the other site and resulted in significant dune growth.
Analysis of celebrity endorsement usage trends: a systematic literature review
Authors: Karina Andira Putri Vega , Bangun Cendera Rizky Anugrah , Susilo Daniel , Kustiwa Agus , Obadyah Ariel Barlian 
Published: November 2023

This systematic literature review aims to analyze studies on the use of endorsement marketing by celebrities. The data comes from several sources from Crossref collected between 2020 and 2022. Keywords used include "Social Media Marketing," "Endorsement Marketing," and "Celebrity Endorsement." From this search process, fifteen articles related to the topic were found. The results show that the source attractiveness and credibility model is a model that brands trust to have an effective impact because the determining factor for the success of celebrity endorsement lies in the source or messenger, namely the celebrity. Celebrity endorsement through celebrity social media accounts is increasingly popular as a social media marketing strategy because it influences buying behavior.
Keywords: social media marketing, endorsement, celebrity endorsement.