bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Changes in Racial Residential and School Segregation and Trends in Racial Health Disparities, 2000–2020: A Life Course Perspective
Authors: Siegel Michael , Nicholson-Robinson Vanessa 
Published: February 2024

Abstract
Introduction
Most studies of the relationship between racial segregation and racial health disparities have focused on residential segregation. School-based racial segregation is an additional form of segregation that may be associated with racial disparities in health. This study examines the relationship between both residential segregation and school segregation and racial health disparities among non-Hispanic Black compared to non-Hispanic White persons at the county level in the United States. It also examines the relationship between changes in residential and school segregation and subsequent trajectories in a variety of racial health disparities across the life course.

Methods
Using the CDC WONDER Multiple Case of Death database, we derived an annual estimate of race-specific death rates and rate ratios for each county during the period 2000–2020. We then examined the relationship between baseline levels of residential and school segregation in 1991 as well as changes between 1991–2000 and the trajectories of the observed racial health disparities between 2000 and 2020. We used latent trajectory analysis to identify counties with similar patterns of residential and school segregation over time and to identify counties with similar trajectories in each racial health disparity. Outcomes included life expectancy, early mortality (prior to age 65), infant mortality, firearm homicide, total homicide, and teenage pregnancy rates.

Results
During the period 1991–2020, racial residential segregation remained essentially unchanged among the 1051 counties in our sample; however, racial school segregation increased during this period. Increases in school segregation from 1991 to 2000 were associated with higher racial disparities in each of the health outcomes during the period 2000–2020 and with less progress in reducing these disparities.

Conclusion
This paper provides new evidence that school segregation is an independent predictor of racial health disparities and that reducing school segregation—even in the face of high residential segregation—could have a long-term impact on reducing racial health disparities. Furthermore, it suggests that the health consequences of residential segregation have not been eliminated from our society but are now being exacerbated by a new factor: school-based segregation. Throughout this paper, changes in school-based segregation not only show up as a consistent significant predictor of greater racial disparities throughout the life course, but at times, an even stronger predictor of health inequity than residential segregation.
Complex networks after centrality-based attacks and defense
Authors: Zafar Maham , Kifayat Kashif , Gul Ammara , Tahir Usman , Ghazalah Sarah Abu 
Published: February 2024

AbstractExploration in complex networks has surged. Centrality measures play a pivotal role in pinpointing essential components within these networks. Previous work focus on nodes with the highest Betweenness centrality through extensive simulations. This paper analyzes the attack and/or defense strategy using one more centrality metric, bridging centrality and Bridging-Betweenness Fusion Attack (combination of both betweenness and bridging centrality). Our two-fold contribution is (1) Using high centrality removal as an attacking strategy and inspired by the dynamic node removal process, recalculated node method after each node removal is proposed. (2) In our defense techniques, new nodes are added to existing lower centrality nodes. They are added after attacks to restore the graph’s connectivity according to proposed defense strategies. Note that some attacks and defense techniques were already introduced while others are presented first time, e.g., the combination of two centrality measures for attack and a bridging-based defense strategy. This innovative approach presents a promising advancement in enhancing the resilience and fortification of complex networks against potential attacks, signifying a notable advantage of this work.
VoxelPlane-Reloc: an indoor scene voxel plane relocalization algorithm
Authors: Suo Lulu , Wang Bin , Huang Longxiang , Yang Xu , Zhang Qian , Ma Yan 
Published: February 2024

AbstractWe present VoxelPlane-Reloc, a novel indoor plane relocalization system based on voxel point clouds, designed for use with depth cameras. First, we propose an adaptive weighted plane extraction model that allows for dynamic adjustment of the correlation between points and plane accuracy. Second, we construct a plane merging model based on voxel growth, which employs a voxel neighborhood growth strategy to handle unmerged planes and allows for the merging of under-growing planes. Third, we present an incremental approach for plane input and propose a strategy for triplet selection and evaluation based on the structural constraints of the planes. This system relies solely on point clouds for relocalization and does not depend on other information, such as RGB data. We extensively evaluate the system on four datasets, and the experimental results demonstrate that the system can accurately and quickly perform relocalization with an average precision of $$99.37\%$$

99.37
%

. The time for relocalization is improved by $$92.43\%$$

92.43
%

compared to previous plane relocalization systems, and it exhibits strong robustness to indoor plane structures.
Leveraging pre-trained language models for code generation
Authors: Soliman Ahmed , Shaheen Samir , Hadhoud Mayada 
Published: February 2024

AbstractCode assistance refers to the utilization of various tools, techniques, and models to help developers in the process of software development. As coding tasks become increasingly complex, code assistant plays a pivotal role in enhancing developer productivity, reducing errors, and facilitating a more efficient coding workflow. This assistance can manifest in various forms, including code autocompletion, error detection and correction, code generation, documentation support, and context-aware suggestions. Language models have emerged as integral components of code assistance, offering developers the capability to receive intelligent suggestions, generate code snippets, and enhance overall coding proficiency. In this paper, we propose new hybrid models for code generation by leveraging pre-trained language models BERT, RoBERTa, ELECTRA, and LUKE with the Marian Causal Language Model. Selecting these models based on their strong performance in various natural language processing tasks. We evaluate the performance of these models on two datasets CoNaLa and DJANGO and compare them to existing state-of-the-art models. We aim to investigate the potential of pre-trained transformer language models to revolutionize code generation, offering improved precision and efficiency in navigating complex coding scenarios. Additionally, conducting error analysis and refining the generated code. Our results show that these models, when combined with the Marian Decoder, significantly improve code generation accuracy and efficiency. Notably, the RoBERTaMarian model achieved a maximum BLEU score of 35.74 and an exact match accuracy of 13.8% on CoNaLa, while LUKE-Marian attained a BLEU score of 89.34 and an exact match accuracy of 78.50% on DJANGO. Implementation of this work is available at https://github.com/AhmedSSoliman/Leveraging-Pretrained-Language-Models-for-Code-Generation.
International and European Institutions and Catalan Nationalism
Authors: Arenas García Rafael 
Published: February 2024

AbstractThe exercise of public power by substate entities poses a challenge for international law. Although such entities lack international legal personality, their actions can have international significance and, because they are state organs, must always adhere to the international obligations assumed by the state. In Spain, the autonomous communities exercise broad powers, which, in the case of Catalonia (via the Generalitat), include education, healthcare, prisons and police. Research shows that the Generalitat has exercised – and, to some extent, continues to exercise – some of its powers in disregard of certain constitutional and legal obligations. This action by public authorities in disregard of the law can have international consequences, and various international organizations have expressed positions on it through their bodies. This paper examines these positions on the Generalitat’s actions in connection with the secession process and other related policies, including both those that have been critical of this behaviour and those that have expressed direct or indirect support for it. The practice of the European Union, the Council of Europe, and the UN Human Rights Council through its Special Rapporteur on minority issues is analysed.
Numerical conformal mapping for underground unlined tunnels with arbitrary shapes based on Symm’s method
Authors: Chengzhang Jianing , Cheng Jun , Jiang Quan 
Published: February 2024

AbstractConformal mapping technique is important in theoretical analysis and numerical computation for the fields of stress and displacement. In general, a unlined tunnel with arbitrary shape has no analytical solution for conformal mapping. Therefore, the study of numerical method for conformal mapping has great significance. The basic functions of numerical conformal mapping are given based on Symm’s method in this paper. Furthermore, the inverse mapping functions were deduced according to the relationships between the boundary nodes in physical and mapped plane. Compared to the other numerical methods, the presented method has some advantages such that, it is simple in concept to be understood, and can give the mapping function without iteration process. The method can be used to the forward and inverse numerical conformal mappings for multiple underground unlined tunnels with arbitrary shapes in finite and infinite domains. With the help of method of fundamental solutions (MFS), the interpolation equations were proposed for multiple underground unlined tunnels with arbitrary shapes. Finally, several numerical examples for the groups of U-shaped and rectangle tunnels have been given to verify the effectiveness of this method. The numerical results can convergent to real cases, which show that the proposed method has the properties of good accuracy and strong adaptability.
Cellulose based adsorbent for cationic methylene blue dye removal
Authors: Melese Hana , Tsade Hizkeal 
Published: February 2024

AbstractNew chemically amended (sodium periodate cellulose nanoparticle (NaIO4-CNP) adsorbent material was synthesized from dried fibers of cotton. The synthesized NaIO4-CNP adsorbent material was characterized for functional groups, crystallite size, surface morphology, morphological structure, and particle size) by using Fourier transform infrared (FT-IR), X-ray diffraction (XRD), Scanning electron microscope (SEM), Transmission electron microscope (TEM) and Brunauer Emmett Teller (BET), instruments, respectively. Then it was investigated to eliminate methylene blue (MB) dye from textile secondary runoff wastewater (SERWW). The physicochemical properties of textile SERWW including organic matter (OM) and inorganic nutrients on the removal capabilities of MB dye was investigated. The adsorption mechanism study was shown that Freundlich isotherm fitted with a maximum removal capability (qmax) of 62.91 mg g−1. The elimination kinetic mechanism fits well to pseudo-second-order and its data recommended the materials (NaIO4-CNP) are effective for wastewater treatment. The MB dye uptake capacities were influenced by the presence of positively charged ions. The NaIO4-CNP adsorbent indicated excellent reproducibility considered as capable adsorption resources to eliminate MB dye from textile SERWW.
Evaluating mechanical, thermal, and water absorption properties of biocomposites with Opuntia cladode fiber and palm flower biochar for industrial applications
Authors: Natrayan L. , Chinta Neelima Devi , Teja Nalla Bhanu , Muthu G. , Kaliappan S. , Kirubanandan S. , Paramasivam Prabhu 
Published: February 2024

AbstractThis study addresses the development of environmentally friendly biocomposites using Opuntia cladode fiber and palm flower biochar for industrial applications. Derived sustainably, these materials significantly enhance mechanical properties, exemplified by Composite C3 (Resin 57wt.%, Fiber 40 wt%, Biochar 3 wt%) with notable flexural strength (217 MPa), tensile strength (178 MPa), impact strength (7.2 J), and hardness (92 Shore-D). However, a 5% biochar concentration led to a slight property decline. Thermal conductivity increased proportionally with biochar concentration, ranging from 0.36 to 0.49 W/mK, with biochar acting as an effective lubricant. Opuntia cladode fiber and biochar influenced water absorption rates, mitigated by silane surface treatment. The biocomposites show promise for electronics, spacecraft, automotive components, and packaging. The specific problem addressed is the need for sustainable materials. Opuntia cladode fiber and palm flower biochar offer a focused solution, yielding composites with improved mechanical, thermal, and water absorption properties for targeted industrial applications.
Analytical and numerical solution and multi-objective optimization of tetra-star-chiral auxetic stents
Authors: Behinfar Parsa , Nourani Amir 
Published: February 2024

AbstractThe present study examines the mechanical properties of auxetic stents with the tetra-star-chiral structure. The tetra-star-chiral geometry is parametrically modeled. Then, the design of experiments (DOE) is developed by defining the elastic properties of the stents and using the response surface method (RSM). Finite element (FE) analysis is performed in order to find a polynomial relationship between the geometric parameters as inputs and the elastic parameters as the outputs. Then, the optimal stent is found in terms of elasticity parameters by using RSM and NSGA-II methods and the two-dimensional Pareto front is plotted. The optimal parameters of the stent including flexural stiffness, axial elasticity modulus, radial elasticity modulus and Poisson’s ratio are obtained as 10.66 mPa m4, 5.37 MPa, 33.2 MPa and − 0.41, respectively. Moreover, a method is proposed to find an analytical solution for metal elastic stents in order to verify the FE model results, and also the blood vessel compliance of the optimal stent is examined.
Exploring marine algae-derived phycocyanin nanoparticles as a safe and effective adjuvant for sunscreen systems
Authors: Cao Jin , Zheng Xiaodan , Li Zhiye , Zheng Mingxue , Qian Chenyao , Shen Song , Qi Xueyong 
Published: February 2024

Abstract
Background
UV radiation (UV) exposure risks skin damage and cancer due to DNA damage and oxidative stress. Synthetic chemical sunscreens that protect against UV radiation can have health and environmental concerns. This study explores phycocyanin (PC), a marine algae-derived natural photoprotective compound, and its crosslinked nanoparticles (PCNP) as safe and effective adjuvants for sunscreen systems.

Methods
PCNP was synthesized via genipin-crosslinking. PC and PCNP biocompatibility were assessed on mouse embryonic fibroblast cells. ABTS evaluated antioxidant activity, and the UV absorption capacity of PC and PCNP were analyzed. PCNP skin permeability was tested in vitro and in vivo. Gel formulations with PCNP were examined for UV absorption effects.

Results
PCNP showed good biocompatibility, maintaining cell viability above 90% across concentrations. Both PC and PCNP demonstrated concentration-dependent antioxidant activity, efficiently scavenging free radicals. PCNP exhibited enhanced UV absorption in the UVB range compared to PC alone. Skin permeation studies displayed limited PCNP penetration through skin layers. In vivo, absorption assessments indicated PCNP localized mainly in the stratum corneum. PCNP-containing gels displayed improved UV absorption compared to gels without PCNP.

Conclusion
This study showcases PCNP’s potential as a natural and safe adjuvant for sunscreen with enhanced UV protection capabilities. PCNP preserved antioxidant activity, displayed limited skin penetration, and enhanced UV absorption. The findings suggest PCNP’s promise as a viable alternative to synthetic sunscreen agents, delivering effective photoprotection while minimizing health and environmental concerns.
Volunteer dispatch considering fatigue effect and satisfaction in emergency situation
Authors: Ren Zongwei , Zhang Qiuyu 
Published: February 2024

AbstractRescue organization scheduling is a hot issue in the field of emergency management, in which the participation of volunteer rescue organizations, a social force, is of great significance to improve the efficiency of emergency rescue. In the case of known rescue services required by the affected place and the information of rescue services provided by volunteer rescue organizations, the goal is to maximize the satisfaction of the victims and minimize the fatigue of the volunteer rescue organizations. The volunteer rescue organization scheduling problem is an NP-hard problem. To solve the studied problem model, two multi-objective optimization algorithms are applied in this article. With the goal of improving the overall rescue efficiency of volunteer rescue organizations implementing rescue at the disaster site during a single emergency, this study analyzes the practical problems related to emergency rescue, taking into account the effects of the time sensitivity of the disaster victims, the preference of the rescue services, the fatigue accumulation rate of the volunteer rescue organizations, and the matching of the rescue skills. Finally, this article distills some scheduling strategies applicable to emergency volunteer rescue organizations, hoping to provide theoretical basis and practical guidance for the Emergency Management Center and related emergency management departments to better configure and optimize emergency human resource scheduling problems.
Significance of synthesized digenite phase of copper sulfide nanoparticles as a photocatalyst for degradation of bromophenol blue from contaminated water
Authors: Abd ElRahman Aref M. E. , Osman Khaled H. , Hassan Nazly , Abd El-Naeem Gamal , El Bardan Aly A. , Khalil Marwa 
Published: February 2024

AbstractOrganic pollutants such as phenolic compounds have received global interest since they are harmful, toxic, and carcinogenic. This work aimed to synthesize copper sulfide nanoparticles in digenite phase (Cu1.8S) via sol–gel method and apply it as a photocatalyst to remove a phenolic contaminate, bromophenol blue (BPB) dye, from water. The copper sulfide nanoparticles were prepared by the sol–gel technique under different conditions, such as reaction temperature, reactant concentration, and aging time, in the presence of a stabilizing agent (cetyltrimethylammonium bromide, CTAB). The synthesized nanoparticles were then described using different characterization techniques. Then these nanoparticles were applied as a photocatalyst for the degradation of bromophenol blue (BPB) under different conditions, including photo-irradiation time, catalyst dosage, dye concentration and power lamp. The aimed copper sulfide digenite nanoparticles (Cu1.8S) were obtained at a 3 h aging time, exhibiting a cubic crystal structure and a size of 8 nm in a 3-dimensional closed-packed structure model with an energy band gap of 1.82 eV. This material has the ability to absorb visible light and thus can be a superior candidate for photocatalysis, demonstrating strong photocatalytic activity towards the degradation of the phenolic dye (i.e., BPB). Excellent results were achieved at a contact time of 3 h, 7 ppm of BPB, 50 mg catalyst dose, and 32 W power lamp. As a consequence, about 96.7% of the contaminants were removed. The photocatalytic degradation was found to obey the Langmuir postulate and exhibit pseudo first order kinetics.
Exploring the impact of input variables on option value: a study using experimental design and analysis techniques
Authors: Dar Amir Ahmad , Khan Mohammad Shahfaraz , Azad Imran , Jayaraman Gopu , Farooqi Ataur Rahman 
Published: February 2024

AbstractThe Black Scholes Model (BSM), a well-known approach for determining the fair value of options, has a long history. The price of the underlying asset, the strike price, volatility, time period, interest rates, and dividend yields are several of the input variables that have an impact on option pricing. This study intends to investigate the effects of these variables on option values. Taguchi’s methodology of design of the experiment is used for the experimental setup and to optimize the factors for option values. Taguchi method L27 design of experiment (DOE), analysis of variance (ANOVA), regression analysis, and analysis of means (ANOM) were used to investigate the effects of these input parameters on option values. MINITAB 18 software is used to carry out the analysis. The factors, in order of their significance from highest to lowest, were identified as: strike price, time period, interest rate, underlying asset price, volatility and dividend concerning to call option value for the given dataset. This technique can be used by traders to determine how various factors impact option values. The proportion contribution of these factors to the call values is also quantified using ANOVA.
Insecticidal activities of the ethanolic extract of citrus fruit seeds for the control of Culex mosquitoes
Authors: Lagundoye Yemi Olajumoke , Simon-Oke Iyabo Adepeju , Akeju Adebayo Victor 
Published: February 2024

AbstractMosquitoes are among the significant vectors of public health concern. Culex mosquitoes have been implicated in spreading disease pathogens that inflicted both animal and man. The Hazards caused by using synthetic insecticide in controlling this vector cannot be overlooked. Thus, there is need to find alternative control method that is harmless and environment friendly. This research aimed to study the insecticidal activities of extract from four Citrus species seeds in the control of larval and adult stages of Culex mosquitoes. Different concentrations (1.0, 1.5, 2.0, 2.5, and 3.0%) of the extract was prepared using extraction solvent (ethanol) The highest percentage mortality of Culex larval was observed from application of 3.0% concentration of C. paradisi seeds extract within the period of exposure, 35.00%, 58.33%, 80.00%, and 100.00% larval mortality was recorded respectively. There is a significant difference (p < 0.05) comparing control and all the concentrations of Citrus seeds extract. Larvicidal potency of 3.0% seed extract concentration of C.sinensis, C.aurantium, C.aurantifolia, and C.paradisi are not statistically different (p > 0.05). The adulticidal potency of the seed oil varies with Citrus species. Citrussinesis seed oil gave higher percentage of adult Culex mortality in all the period of exposure. Statistically, the adulticidal potency of 2.5% concentration of all the Citrus seed oil are not different significantly (p > 0.05), expect the potency of C.aurantium seed extract. The lethal concentration requires for 50% (LC50) and 90% (LC90) of Citrus seeds oil extract varies with respect to period of exposure. Extract from Citrus seeds should be adopted for the control and management of insect vectors and it should be incorporated to integrated vector management (IVM) program.