bluuebunny/crossref_metadata_2025_split huggingface dataset:
SPL50 negatively regulates cell death and disease resistance in rice
Authors: Ruan Banpu , Wu Hui , Jiang Yaohuang , Qiu Jiehua , Chen Fei , Zhang Yanli , Qiao Yu , Tang Mingyue , Ma Yingying , Qian Qian , Wu Limin , Yu Yancun 
Published: May 2024

Abstract

The identification of spotted leaf 50 (spl50), a novel lesion mimic mutant (LMM) in rice, provides critical insights into the mechanisms underlying programmed cell death (PCD) and innate immunity in plants. Based on ethyl methane sulfonate (EMS)-induced mutagenesis, the spl50 mutant mimics hypersensitive responses in the absence of pathogen by displaying spontaneous necrotic lesions after the tillering phase. SPL50, an ARM repeat protein essential for controlling reactive oxygen species (ROS) metabolism and boosting resistance to blast disease, was identified by map-based cloning techniques. This work also demonstrates the detrimental effects of spl50 on photosynthetic efficiency and chloroplast development. The crucial significance of SPL50 in cellular signaling and stress response is shown by its localization to the cell membrane and constitutive expression in various plant tissues. Given increasing concerns about global food security, this research underscores the critical role of SPL50 in modulating PCD and fortifying the immune response, contributing to the development of strategies for enhancing crop disease resistance.
Optimization of AGV Sorting Systems in Pharmaceutical Distribution: A Two-Stage Package Assignment and Simulation Approach
Authors: baz Hicham El , Wang Yong , Yoon Sang Won , Jin Yu 
Published: May 2024

Abstract

Automated Guided Vehicles (AGVs) have played an important role in modern factories or warehouses, replacing traditional conveyor-based sorting systems due to their flexibility and scalability. However, existing works on AGV sorting systems primarily focus on improving performance from mechanical perspectives or network optimization for routing design. There is a lack of discussion on how to provide a holistic assignment strategy that considers not only the assignment at the sorting area but also the impact of traffic flow from upstream stations in the system. This study introduces a novel two-stage optimization model for AGV sorting systems in central fill pharmacies, implemented via a simulation-based heuristic algorithm. The methodology is based on a detailed analysis of the sorting system layout, assessing performance through key performance indicators (KPIs) such as throughput, utilization, and cycle time, complemented by a sensitivity analysis regarding the number of AGVs. Results demonstrate broad applicability across different automated systems, suggesting significant implications for operational efficiency.
Potential Pavement Market Food Waste Applications of Novel and Sustainable Nanomaterials – An Eco-Friendly Approach
Authors: Purushothaman Bharathi , Raj Dayana , Vijayan Karthikeyan 
Published: May 2024

Abstract

Due to unethical methods, market waste (waste of fruits and vegetables) is greatly increasing today. The main challenge with this waste is finding a way to get rid of it without harming the environment. In this study, these wastes can be used to make biofertilizers, which is an alternate and effective usage. Zinc oxide nanoparticles (ZON) catalyze this breakdown process to shorten the time it takes to occur. Chemical precipitation is used to make ZON, and it may be recognized by its distinctive nanostructural properties. This nanoparticle-infused biofertilizer is being evaluated for its effectiveness in strengthening crops. A study was conducted to evaluate the biofertilizer produced in terms of moisture content, pH, total solids, volatile solids, organic matter, electrical conductivity, nitrogen, phosphate, and potassium content. Lady's finger growth at regular intervals is used to measure the effectiveness of biofertilizer in field trials. Analyses using the SEM method revealed that the typical nanoparticle size ranged between 10 and 30 nm and was erratic. The number of blooming days, vegetable size, weight, and branch height were all taken into account to determine the biofertilizer's efficacy at frequent intervals of 15, 30, 45, and 60 days of growth. ZON was found to produce the highest yield when compared to ZON-free controls. A significant increase in plant yield of 30 to 40% was observed when comparing biofertilizer with ZON to biofertilizer without ZON, chemical fertilizer, and soil.
Spatiotemporal Characteristics of Winter PM2.5 in Hubei Province in Recent Ten Years and Constraints in Wuhan, based on CCM Exploration
Authors: Zheng Yige , You Hongen , Liu Yutong , Xiao Shangbin 
Published: May 2024

Abstract

Under the influence of meteorological conditions such as atmospheric circu-lation and topographic conditions, regional transport of PM2.5 occurs and affects air quality. In this paper, the causal relationship between PM2.5 concentrations in other prefectural cities in Hubei Province, China and Wuhan was empirically investigated by using the Convergent Cross Mapping (CCM) with air quality monitoring data from the winter of 2015 to the winter of 2023 in each city in Hubei Province. It is found that there is a significant nonlinear weak coupling between PM2.5 concentrations in other prefectures in Hubei Province and Wuhan, and four groups of PM2.5 concentrations are causally correlated with each other with medium and strong correlations based on the 0.2 significance level test. Combined with the atmospheric circulation analysis, the regional transmission speed and direction of PM2.5 are affected by seasons.
Picosecond acoustics on iron and nickel in an internal-resistive- heated diamond anvil cell to 50 GPa and 2000 K
Authors: Nagaya Yoshihiro , Yagi Takashi , Ebina Ryoto , Hirose Kei , Kodama Manabu , Hirai Shuichiro , Ohta Kenji 
Published: May 2024

Abstract

We have determined the longitudinal wave velocity (VP) of iron (Fe) and nickel (Ni) up to 50 GPa and 2040 K by combining picosecond acoustics and internal-resistive-heated diamond anvil cell (DAC) techniques. The high pressure–temperature VP of Fe obtained in this study are in good agreement with those previously determined by synchrotron inelastic X-ray scattering experiments. We modeled the density, temperature, and composition dependence of the VP in the Fe-Ni alloy system based on the existing data set. We found that solid Fe alloys cannot match the geophysically inferred density-VP pairs of the lunar inner core, suggesting either its absence or its anelastic relaxation. Picosecond acoustics combined with an internal-resistive-heated DAC, a technique developed for the first time in this study, will play an important role in measuring the elastic wave velocity of Fe-based alloys under terrestrial core conditions and thus constraining their chemical compositions.
Visual simulation of opal using bond percolation through the weighted Voronoi diagram and the Ewald construction
Authors: Yokota Soma , Fujishiro Issei 
Published: May 2024

Abstract

Opal, a renowned gemstone, exhibits an optical phenomenon known as ''play of color,'' which is classified as a kind of structural color. This unique property makes opal a highly valuable material from the natural science, industry, and humanity perspectives. Opal has a complex internal structure called colloidal polycrystalline, and thus, representations of opal remain unestablished in computer graphics. In this study, to approximate the complex internal structure of opal, we imitate its formation process using the three-dimensional additively weighted Voronoi tessellation and percolation model. Further, we apply path tracing to compute the diffraction patterns of visible light inside opal by utilizing the Ewald construction employed in X-ray diffraction theory. Finally, we achieve a visually plausible output through spectral rendering.
Study of Brazilian native wood 'Caryocar villosum' rolling shear properties to produce CLT panels.
Authors: Criado Tayla Castilho , Molina Julio Cesar , Silva João Vítor Felippe , Silva Maria Fernanda Felippe , Dias Antonio Alves 
Published: May 2024

Abstract

The utilization of Cross-Laminated Timber (CLT) in construction has surged for its sustainable nature and structural efficiency. However, existing research predominantly focuses on CLT production using softwood species, neglecting the potential of utilizing hardwoods. This study investigated rolling shear strength (frs) and stiffness (Grs) 3-layer CLT elements made from Pequiá ("Caryocar villosum"). Experimental shear (vertical and inclined) and bending tests were conducted on different samples of specimens. Complementing the experimental work, numerical simulations using ABAQUS software were employed. Results indicated similar average resistances (frs) across different tests. The higher average stiffness (Grs) was observed in vertical shear compared to inclined shear tests. The vertical shear test was deemed more suitable for determining stiffness. Furthermore, the panel’s average stiffness was found to be greater than the beam’s average stiffness. An analytical equation was developed for the three-layer panel, and it was effective in estimating the rolling shear stiffness from bending tests. Additionally, numerical modeling successfully identified the regions of highest stress concentration, where ruptures occurred in the samples tested experimentally. These ruptures mainly occurred due to the concentration of shear stresses in the central layer of the CLT samples, with the contribution of normal compression and tensile stresses.
Estimation of uncertainties in the density driven flow in fractured porous media using MLMC
Authors: Logashenko Dmitry , Litvinenko Alexander , Tempone Raul , Wittum Gabriel 
Published: May 2024

Abstract

We use the Multi Level Monte Carlo method to estimate uncertainties in a Henry-like salt water intrusion problem with a fracture. The flow is induced by the variation of the density of the fluid phase, which depends on the mass fraction of salt. We assume that the fracture has a known fixed location but an uncertain aperture. Other input uncertainties are the porosity and permeability fields and the recharge. In our setting, porosity and permeability vary spatially and recharge is time-dependent. For each realisation of these uncertain parameters, the evolution of the mass fraction and pressure fields is modelled by a system of non-linear and time-dependent PDEs with a jump of the solution at the fracture. The uncertainties propagate into the distribution of the salt concentration, which is an important characteristic of the quality of water resources. We show that the multilevel Monte Carlo (MLMC) method is able to reduce the overall computational cost compared to classical Monte Carlo methods. This is achieved by balancing discretisation and statistical errors. Multiple scenarios are evaluated at different spatial and temporal mesh levels. The deterministic solver ug4 is run in parallel to calculate all stochastic scenarios.
Integrating Multi-Agent Systems in AI: A Framework Inspired by Physiology for Complex System Design
Authors: Chen Ching Han , Shiu Ming Fang 
Published: May 2024

Abstract

This study explores the integration of artificial intelligence (AI) through a Multi-Agent System (MAS), utilizing autonomous networks to implement a novel framework demonstrated in a navigation system for the visually impaired. It capitalizes on MAS's scalability and robustness, employing a holonic, recursive agent structure inspired by physiological systems for efficient modeling. The framework facilitates intelligent agent integration and utilizes MQTT and DDS for critical data exchange. Structured in five sections, the paper discusses design, experimental validation, and results, highlighting MAS's potential to enhance distributed intelligent systems across various sectors.
Analysis of Commensurate Semimajor Axes of Resonant Orbits Including Second-Order Gravitational Perturbations
Authors: Mabrouk Z. A. , El-Salam F. A. Abd , Owis A. , Elmahy Wesam 
Published: May 2024

Abstract

In this research work, the effects of perturbations due to resonant geopotential harmonics on the commensurate semi-major axis \(a_{c}^{{}}\)of the GPS orbits are being studied and analyzed. A second order approximation of the commensurate semi-major axis due to the higher zonal perturbations (up to \({J_6}\)) is obtained iteratively, starting with the unperturbed case as the zeroth-order. In the resonance cases a certain number of tesseral harmonics can produce effects of large amplitude and very long period, these important tesseral harmonics can be computed by Kaula’s resonant perturbation theory [1]. Using Lagrange’s planetary equations, the rate of change of the semi-major axis is computed. The drift rate as a function of longitudinal position is derived and plotted, revealing the existence of four roots which can be classified as stable positions at \({25.94^ \circ }\)E, \({205.9^ \circ }\)E and metastable positions at \({118.7^ \circ }\)E, \({298.7^ \circ }\)E. Motion about these stable and metastable points is investigated using the Poincare section method. The analysis reflects the existence of periodic, quasi-periodic, and even chaotic orbits in the vicinity of these points.
VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks
Authors: Suresh Krishnan , Padhy Rahul , Chandrasekhar Aaditya 
Published: May 2024

Abstract

ellular structures found in nature exhibit remarkable properties such as high strength, high energy absorption, excellent thermal/acoustic insulation, and fluid transfusion. Many of these structures are Voronoi-like; therefore researchers have proposed Voronoi multi-scale designs for a wide variety of engineering applications. However, designing such structures can be computationally prohibitive due to the multi-scale nature of the underlying analysis and optimization.In this work, we propose the use of a neural network (NN) to carry out efficient topology optimization (TO) of multi-scale Voronoi structures. The NN is first trained using Voronoi parameters (cell site locations, thickness, orientation, and anisotropy) to predict the homogenized constitutive properties. This network is then integrated into a conventional TO framework to minimize structural compliance subject to a volume constraint. Special considerations are given for ensuring positive definiteness of the constitutive matrix and promoting macroscale connectivity. Several numerical examples are provided to showcase the proposed method.
Vegetative propagation of Combretum collinum Fresen. (Combretaceae), Combretum molle R. Br. ex G. Don (Combretaceae) and Piliostigma thonningii Schumach. (Fabaceae) by cuttings: Effects of rooting media and indole-3-butyric acid concentration
Authors: Kabonesa Bernadette , Byakagaba Patrick , Mwavu Edward Nectar , Tumwebaze Susan Balaba , Buyinza Joel 
Published: May 2024

Abstract

The aim of the current study was to examine the propagation potential of woodland tree species in Uganda. Specifically, the study assessed the rooting of stem cuttings of Combretum collinum Fresen. (Combretaceae), Combretum molle R. Br. ex G. Don (Combretaceae) and Piliostigma thonningii Schumach. (Fabaceae) under different rooting media and Indole-3 butyric acid (IBA). Three rooting media (pine bark, soil-sand and sand) and different concentrations of Indole-butyric acid (IBA) plant growth hormone were considered. Data on rooting, number of roots, root length and root collar diameter were collected. Rooting of C. collinum was highest when treated with IBA and propagated in soil-sand or sand medium while that of C. molle and P. thonningii in soil-sand medium when the cuttings were not treated with IBA. The highest number of roots of C. collinum and C. molle was when they were treated with IBA and propagated in soil-sand or pine bark or sand medium while P. thonningii when the cuttings were not treated with IBA and propagated in soil-sand or sand.The highest root length of the C. collinum, C. molle and P. thonningii was achieved when cuttings were treated with IBA and propagated in sand. The highest root collar diameter of C. collinum and C. molle was when cuttings were treated with IBA and propagated in pine bark while of P. thonningii when cuttings were not treated with IBA and propagated in soil-sand. Propagation of these three species ought to take into consideration the interaction between rooting medium and growth hormone.
A Blended Variationally Consistent Phase Field Material Point Method for Material Fragmentation Problems
Authors: Tangade Harshal , Huang Tsung-Hui , Rodriguez Cameron 
Published: May 2024

Abstract

The material point method (MPM) can effectively addresses material fragmentation issues over mesh-based method due to its meshfree nature but faces numerical inaccuracies such as cell-crossing instability and Galerkin inexactness inherent in its numerical framework. The utilization of previously developed variational consistent (VC) corrections with smooth reproducing kernel (RK) approximations has proven effective in preventing cell-crossing and ensuring Galerkin exactness, albeit limited to continuum bodies. In this study, we present a blended variationally consistent phase field material point method for modeling material fragmentation process. The phase field damage method is integrated into MPM to facilitate the tracking of damage/cracks during the fragmentation process. The incorporation of VC correction alongside smooth RK approximation offers benefits not only for non-oscillatory stress modes but also for robust phase field evolution. To address the complexities of VC in handling domain boundary tracking during fragmentation, we introduce a deformation-driven blending scheme to seamlessly blend non-VC for fragmented regions and VC for continuous domains with a smooth transition zone in the Galerkin MPM. This approach enhances the stability and robustness of the formulation for simulating fragmentation problems. Benchmark examples involving extreme deformation scenarios illustrate the effectiveness of the proposed MPM framework, confirming its consistency and stability.
Effect of Hereditary Thrombophilia on the Clinical Severity of Covid-19 Pneumonia
Authors: Arslan Büşra Babahanoğlu , Argüder Emine , Ceylan Gülay Güleç , Tekdemir Halil , Hasanoğlu Canan 
Published: May 2024

Abstract

Aim: COVID-19 disease continues to pose a significant global challenge. Endothelial damage, imbalance of coagulation and fibrinolysis, vasculopathy, excessive cytokine release, and immunothrombotic mechanisms can be observed in COVID-19 disease. Severe coagulopathy is predominanant in COVID-19 pneumonia. This study aims to evaluate the effect of hereditary thrombophilia on the severity of COVID-19 pneumonia.
Materials and Methods: A total of 100 cases previously diagnosed with COVID-19 pneumonia and presented to the COVID-19 follow-up clinic were included in the study. Cases were categorized into outpatient, inpatient, and intensive care unit (ICU) follow-up groups based on clinical severity. Information regarding the period of COVID-19 pneumonia for the included patients was retrospectively obtained from hospital records. One tube of blood sample was collected from each case to assess the presence of hereditary thrombophilia and stored at +4°C. Subsequently, thrombophilia panel including Factor II (FII) 20210 G>A (Prothrombin), Factor V (FV) 1691 G>A (Leiden), MTHFR 677 C>T, MTHFR 1298 A>C, and PAI-1 4G/5G studies were performed.
Results: The age of cases ranged from 27 to 84 years with a mean age of 57.04 ± 12.68 years. 37% (n=37) of the cases were male, and 63% (n=63) were female. 65% of cases had comorbidities. In all cases except one, hereditary thrombophilia was observed (Factor V-Leiden heterozygosity 16%, prothrombin heterozygosity 7%, PAI-1 4G/4G mutation 19%, PAI-1 4G/5G mutation 48%, MTHFR 677 heterozygosity 45%, MTHFR 677 homozygosity 6%, MTHFR 1298 heterozygosity 42%, MTHFR 1298 homozygosity 14%). There was no statistically significant difference in the characteristics of hereditary thrombophilia among cases based on clinical severity (p>0.05). However, when the patients were grouped according to outpatient and inpatient (inpatient + ICU) treatment, PAI-1 4G/5G mutation was found to be statistically significantly higher in the inpatient treatment group [X2=12.00, p<0.05].
Conclusion: Almost all cases of COVID-19 pneumonia included in our study were found to have at least one hereditary thrombophilia. Furthermore, a significant difference in PAI-1 4G/5G mutation was observed between outpatient and inpatient (inpatient + ICU) cases. However, the presence of hereditary thrombophilia did not differ among the groups. This may be attributed to the limited number of cases included in the study and its retrospective nature. Nevertheless, demonstrating this association may suggest a potential link between hereditary thrombophilia and COVID-19 pneumonia.
Multi-criteria decision-making based on the combination of interval-valued hesitant fuzzy information and ORESTE method
Authors: Li Jian , Niu Li-li , Chen Qiongxia , Wang Zhong-xing 
Published: May 2024

Abstract

As an important extension of hesitant fuzzy sets, interval-valued hesitant fuzzy sets (IVHFSs) show the flexibility of decision makers (DMs) in expressing hesitant information. Accordingly, numerous research findings have been provided since the introduction of IVHFSs. However, a few important issues in IVHFS utilization remain to be addressed. To do this, this study introduces a multi-criteria decision-making (MCDM) method based on the combination of interval-valued hesitant fuzzy information and the method of the French organization Rangement et Synthese de Ronnees Relationnelles (ORESTE). First, the shortcomings of generalized normalized Hamming distance for interval-valued hesitant fuzzy elements (IVHFEs) in previous studies are discussed. Subsequently, several novel distance measures and a possibility degree formula are developed. Meanwhile, the proofs of the properties are provided to illustrate the effectiveness of the proposed distance measures and possibility degree formula. Second, an MCDM method based on the combination of interval-valued hesitant fuzzy information and the ORESTE method is developed. Lastly, an MCDM problem of identifying the optimal bidding schemeis presented to demonstrate the effectiveness of the proposed method. Acomparative study with other methods is conducted with an identical illustrative example.
Percepción sobre el cuidado de enfermería en lactancia materna a madres en postoperatorio de cesárea
Authors: Molina Sánchez Liliana , Vásquez Gil Irina María , Cuellar Ortiz Jhonayda 
Published: May 2024

Objetivo: determinar la percepción sobre el cuidado de enfermería en el proceso de lactancia materna en madres en postoperatorio de cesárea que se encuentran en alojamiento conjunto en el área de gineco-obstetricia de una institución prestadora de salud de Neiva, año 2021. Metodología: estudio cuantitativo, descriptivo, en el cual se tomó una muestra de 115 madres postoperatorio de cesárea que se encontraban en alojamiento conjunto en el área de gineco-obstetricia en una institución prestadora de salud de Neiva, año 2021. Se aplicó el cuestionario Percepción de Comportamientos de Cuidado Humanizado de Enfermería (PCHE) 3ra versión. Resultados: en su mayoría, las madres tenían una percepción favorable del cuidado de enfermería brindado en el proceso de lactancia materna. Casi la mitad de las madres sentían que recibían un trato respetuoso y apreciaban cualidades como la proactividad y el apoyo emocional en el cuidado de enfermería durante la lactancia. Aunque el 47% valoró la comunicación abierta con el personal de enfermería, existe una preocupación significativa sobre la falta de espacios adecuados para el diálogo en el entorno hospitalario. Conclusión: el cuidado humanizado fue percibido a través de la comunicación al momento de brindar información en relación a su salud, por cualidades propias del hacer de enfermería. De este modo, la labor de enfermería se enmarca en un reconocimiento “gratificación-satisfacción” por parte de las madres y su binomio madre-hijo. Las madres perciben sentimientos de tranquilidad y confianza con su cuidado.