bluuebunny/crossref_metadata_2025_split huggingface dataset:
How can an inferior competitor be a successful invader?
Authors: Tesfay Yohannes B. , Blaschke Annika , Kreyling Jürgen 
Published: April 2023

Abstract
The invasion of ecosystems by non-native species is recognized as one of the most significant global challenges, particularly in semiarid regions where native biodiversity is already under stress from drought and land degradation. The implicit assumption is that invaders are strong competitors, but a greenhouse pairwise experiment conducted to examine intraspecific and interspecific competition effects of Opuntia ficus-indica, a widespread invader in semiarid ecosystems, with two species native to the highlands of Eritrea, Ricinus communis and Solanum marginatum, revealed that O. ficus-indica is a weak competitor. In direct interaction, the competition in aboveground productivity measured by the logarithmic response ratio for O. ficus-indica was 3.4-fold and 5.9-fold higher than for R. communis and S. marginatum, respectively. Belowground, the native R. communis was facilitated (-1.00 ± 0.69) by O. ficus-indica which itself suffered from high competition. This pattern became even stronger under water shortage, where aboveground competition for S. marginatum decreased 5.7-fold, and for O. ficus-indica, it increased 1.4-fold. Despite being a poor competitor, O. ficus-indica outperformed R. communis and S. marginatum in both aboveground (4.3 and 3.8 times more) and belowground (27 and 2.8 times more) biomass production, respectively. The findings of this study challenge the common interpretation that invasive species are strong competitors and highlight the importance of considering other factors, such as productivity and tolerance limits, when assessing the potential impacts of invasive species on semiarid ecosystems.
Oral health literacy, knowledge and perceptions in a socially and culturally diverse population: a mixed methods study
Authors: King Shalinie , Thaliph Ayesha , Laranjo Liliana , Smith Benjamin J , Eberhard Joerg 
Published: April 2023

Abstract
Background: Poor oral health literacy has been proposed as a causal factor in disparities in oral health outcomes. This study aims to investigate oral health literacy (OHL) in a socially and culturally diverse population of Australian adults visiting a public dental clinic in Western Sydney.
Methods: A mixed methods study where oral health literacy was assessed using the Health Literacy in Dentistry scale (HeLD-14) questionnaire and semi-structured interviews explored oral health related knowledge, perceptions and attitudes. Interviews were analysed using a thematic approach.
Results: A sample of 48 participants attending a public dental clinic in Western Sydney was recruited, with a mean age of 59.9 (SD16.2) years, 48% female, 50% born in Australia, 45% with high school or lower education, and 56% with low-medium OHL. A subgroup of 21 participants with a mean age of 68.1 (SD14.6) years, 40% female, 64% born in Australia, 56% with a high school or lower education, and 45% with low-medium OHL completed the interview. Three themes identified from the interviews included 1) attitudes and perceptions about oral health that highlighted a lack of agency and low prioritisation of oral health, 2) limited knowledge and education about the causes and consequences of poor oral health, including limited access to oral health education and finally 3) barriers and enablers to maintaining good oral health, with financial barriers being the main contributor to low OHL.
Conclusions: Strategies aimed at redressing disparities in oral health status should include improving access to oral health information. The focus should be on the impact poor oral health has on general health with clear messages about prevention and treatment options in order to empower individuals to better manage their oral health.
Cost-effectiveness of the anti-vascular endothelial growth factor intravitreal injection and panretinal photocoagulation for patients with proliferative diabetic retinopathy in South Korea
Authors: Lee Hyeon-Jeong , Cho Songhee , Park Jungeun , Jin Yan , Kim Hyung Min , Jee Donghyun 
Published: April 2023

Abstract
Background: We determined the cost-effectiveness of the anti-vascular endothelial growth factor (VEGF) intravitreal injection versus panretinal photocoagulation (PRP) for patients with proliferative diabetic retinopathy (PDR) in South Korea.
Methods: We simulated four treatment strategies using PRP and the anti-VEGF injection by constructing a Markov model for a hypothetical cohort of 50-year-old PDR patients: (1) PRP only; (2) anti-VEGF injection only; (3) PRP first; and (4) anti-VEGF injection first.
Results: In this cost-effectiveness analysis, compared with only-PRP, the incremental cost-effectiveness ratiowas $95,456 per quality-adjusted life-year (QALY) for PRP first, $34,375 per QALY for anti-VEGF injection first, and $33,405 per QALY for anti-VEGF injection only from a healthcare perspective. From the societal and payer perspective, strategy (2) was more cost-saving and effective than (1). In the probabilistic sensitivity analysis, only-PRP was cost-effective up to the willingness-to-pay (WTP) of about $42,000, while anti-VEGF injection only was cost-effective from a healthcare perspective. From the societal and payer perspectives, regardless of the value of WTP, anti-VEGF injection only was the most cost-effective strategy.
Conclusion: Our results on the cost-effectiveness of the anti-VEGF injection for PDR, alone or in combination with PRP treatment, can be used as important evidence when making medical service decisions.
Improved mechanical, optical, and electrical properties of chitosan films with the synergistic reinforcing effect of carbon nanotubes and reduced graphene oxide for potential optoelectronic applications
Authors: González-Martínez Jesús Roldán , Magallanes-Vallejo Aurora Guadalupe , López-Oyama Ana Bertha , Madera-Santana Tomás Jesús , Anaya-Garza Karely , Rodríguez-González Eugenio , Barfusson-Domínguez Felipe , Gámez-Corrales Rogelio 
Published: April 2023

Abstract
The purpose of this study was to determine the effects of carbon nanotubes (CNT), reduced graphene oxide (rGO), and a mixture of the (CNT-rGO) on the structural, mechanical, electrical, and optical properties of low (CSL), medium (MCS) and high-molecular (HCS) weight chitosan. The formed films' structure and physical properties were analyzed using swelling, X-ray diffraction, mechanical testing, and SEM micrographs. The 4-Probe technique showed that chitosan electrical conductivity was improved by six orders of magnitude strongly influenced by the CNT addition. The photoluminescence (PL) studies showed that rGO addition induces a non-radiative process in composites and decreases the PL intensity by nearly 43%. The CNTs in CSL and the mixture in CSL present the best electrical, optical, and swelling degree properties. The composites properties and ease of preparation of the films reported in this work make them suitable for optoelectronic applications due to their electrical conductivity and PL values.
Monitoring and early warning of artificial intelligence system in public health safety law
Authors: Yin Weida 
Published: April 2023

Abstract
With the development of communication technology, the birth of 5G technology has epoch-making significance for data transmission and storage. Because of its very large network bandwidth and small network delay, it is very reliable in data transmission. 5G and other engineering, such as artificial intelligence and other technologies are often linked together, from the technical means and data transmission efficiency and other aspects of the technical level, promote and make artificial intelligence technology can be further expanded and extended. Based on this, the application and development of 5G technology and artificial intelligence under the background of new era information technology are expanded and studied in this paper. In addition, based on the prediction process of deep neural network construction, this paper studies its operability on FPGA platform from this process, and carries out a series of related studies on the implementation means of neural network on FPGA platform. In this paper, an accelerated system is designed, and the model can be established based on the key factors extracted from the accelerated system. Applying models set under different acceleration systems in different scenarios can be suitable for different network architectures. In the final research phase, we analyzed the materials and performed experimental verification. In the context of the market economy, we elaborated on the responsibility of the government in a certain region to maintain public security. For a region, it needs to be based on local actual conditions, specific analysis of specific issues, learning from the experience of some areas where public health incidents are handled well, and establishing a system with local characteristics. From the process of elaboration, we found that public health safety is not only closely related to each of our lives, but also further related to social stability and security.
Economic simulation of sports industry based on deep learning algorithm and data mining
Authors: Yuhao Zou , Tian Zhou 
Published: April 2023

Abstract
In recent years, the research on the domestic and international sports industry has made considerable achievements, but there are still some loopholes in the content, that is, there is still a vacancy in the comprehensive quantitative evaluation of the economic development of the sports industry, especially in the statistics of the output value of the sports industry, which lacks a comprehensive understanding of the economic development of the industry. In the state of dual demand research and application, it is still necessary to reveal the publicity and education of industrial scale, industrial structure, industrial function and industrial safety between people and industries, which is also a necessary way to develop the talent guarantee industry. In this work, we should establish an economic model related to the sports industry. It mainly applies the deep learning algorithm and data information mining technology. After allowing the extraction of information from the sports industry database, it is converted into an economic model of the sports industry. It uses scientific and efficient processing methods to analyze a large number of diverse data, in order to find the hidden laws and knowledge behind it. Therefore, this paper uses data mining technology to process and analyze the economic development data of sports industry in detail, and conducts corresponding quantitative analysis according to the requirements of data development. Finally, this paper points out that the neural network in the deep learning algorithm has further training and learning on the economic data of the sports industry, which is convenient for the subsequent prediction of the economic development of the sports industry to make a greater breakthrough.
Application of VR recognition based on image object detection algorithm in urban street landscape art design
Authors: Meng Xiangyun 
Published: April 2023

Abstract
Image target detection plays an important role in the field of VR recognition and art design. It is applied in many fields such as urban planning and weather monitoring in China. In recent years, depth neural network has become an important part of target detection algorithm. Target detection has shown excellent functions in segmentation, tracking and recognition. With the rapid development of image detection technology, targeted image detection has improved the quantity and quality of data. In the application of VR technology to the artistic design of urban street landscape, it not only helps designers better observe the world characteristics, but also constantly stimulates designers' thinking inspiration in the interactive environment, thus generating new ideas, new creativity, new means and rich creative content. Therefore, design can play a role from the conceptual stage to the final effect display stage. At this stage, VR recognition technology is not mature enough in the design of urban street landscape, which is still in the exploration stage. Select a suitable VR system, and further explore and study the functions of the selected engine system on this basis. Explore the virtual work route suitable for building street landscape, and select the virtual environment of street landscape to lay a solid foundation for VR identification technology. Based on the main technical content of VR identification, the actual change and interaction of operating materials can be reflected, and the results of urban street landscape design can be presented in the most intuitive way.
Analysing spatial and geometrical patterns of urbanization using spatial metrics – A case study of Tiruchirappalli urban, India
Authors: K Prakash , R Jegankumar , RS Libina ,   Dhanabalan1 SP
Published: April 2023

Abstract

The understanding of spatial and geometrical patterns in urbanization is crucial in tackling its associated problems. As urbanization progresses through various stages of development, it reflects different forms, patterns, and interactions based on physical and functional aspects. Spatial metrics, a well-regarded technique for quantifying urban characteristics, is one of several methods developed to achieve this. The current study was conducted in Tiruchirappalli and six other urban centres located within a 40-kilometre radius; which helps to comprehend the comparative growth and spatial patterns in relation to Tiruchirappalli urban centre. The urban centres were divided into eight zones based on direction for more precise quantification. The study employed Landsat 5 and 8 satellite images to classify land use/cover for the periods 1996, 2008, and 2020, which were then used to assess urban spatial growth and quantify spatial and geometrical patterns. Fragstat, a comprehensive application with several metrics, was used to analyse spatial metrics, including patch, class, and landscape levels, which focus on spatial configurations such as area and edge, aggregation, diversity, and shape. The study generated significant data about spatial and geometric properties, patterns, and obstructions of growth. The area and edge metrics and aggregation metrics indicated that Manachanallur, Manapparai, Musiri, Thiruverumbur, and Thuraiyur had the most unpredictable, random growth with highly protrusive urban growth in few zones across the study period. Diversity metrics demonstrated that Tiruchirappalli had the most abundant urban patches, with few patches from other classes. Shape metrics revealed significant improvements from 2008–2020 across all urban centres, whereas from 1996–2008, urban patches were more irregular in shape. The current study is a significant contribution to the urban research in understanding the relative spatial and geometric patterns of urbanization. The knowledge generated could aid in sustainable urban development planning and focus.
Bio-green synthesis of calcium acetate from oyster shell waste at low cost and reducing the emission of greenhouse gases
Authors: Seesanong Somkiat , Seangarun Chaowared , Boonchom Banjong , Laohavisuti Nongnuch , Montri Nattaya , Thompho Somphob , Boonmee Wimonmat , Mongkol Sorakit , Rungrojchaipon Pesak 
Published: April 2023

Abstract
Bio-green synthesis was designed and employed for calcium acetate monohydrate (Ca(CH3COO)2·H2O) preparation. Biological wastes obtained from food, oyster shells, were recycled to calcium carbonate and then were used as bio-green raw material to replace limestone/carbonate stone for calcium acetate production. The conditions (ambient temperature occurred in an exothermic reaction, drying time, percentage yield, and percentage solubility) of the reaction between the bio-green CaCO3 and three different acetic (CH3COOH) concentrations (8, 10, and 12 mol·L−1) were investigated. The maximum percentage yield (93.42%) with a shorter drying time (18 h) affected the low cost of the product found in the reaction between the bio-green CaCO3 with 12 mol·L−1 acetic acid. The percentage solubility and chemical compositions without any toxic metal impurity revealed by the XRF technique would be useful to suggest use in the specific application. The XRD, FTIR, and TGA data of Ca(CH3COO)2·H2O prepared by the bio-green CaCO3 obtained from oyster shell wastes in this work and those in previous works used other calcium sources were consistent. The morphologies with different sizes of the obtained Ca(CH3COO)2•H2O depend on the CH3COOH concentrations reported in this work and were different from those reported in previous works because of different calcium sources. According to the observation, it can be concluded that the low-cost and bio-green technique without the environmental effects was successfully applied to produce cheap Ca(CH3COO)2•H2O and reduce greenhouse gas emissions, which can be used in the specific industry.
Application of Computer Aided CAD in Urban Planning Heritage Protection
Authors: Wang Song 
Published: April 2023

Abstract
Computer aided CAD system plays an important role in urban planning and heritage conservation. When developing new products, the computer aided system can effectively identify the existing CAD model, facilitate reuse for design, thus shortening the development cycle, reducing the development cost, and improving the development efficiency. Therefore, this paper proposes a concept of computer learning algorithm and a model of naive Bayesian algorithm, that is, urban cultural heritage is an important carrier of human history and culture. After long-term development and accumulation, the current form and spiritual significance have evolved. Since the reform and opening up, China's urban heritage protection has also achieved fruitful results and valuable experience, thus forming a three-level protection system of famous cities, famous streets and cultural protection buildings. With the continuous maturity of computer aided CAD system theory in the field of urban heritage, CAD system has deepened the understanding of "culture" in heritage, and the practice of heritage protection has gradually shifted from traditional urban architecture protection to anthropology, cultural geography and other humanities and social sciences. At this stage, computer aided CAD urban planning introduced the integrity, diversity and development oriented sustainable development of heritage protection, and paid unprecedented attention to the local nature of heritage or the special background of heritage generation. The focus on urban heritage protection has shifted from simply proposing protection practices to the power and interest mechanism behind heritage protection. Only in this way can heritage management truly maintain sustainable development.
Pressure Drop Characteristics of Concentric Spiral Corrugation Cryostats for a HTS Power Cable Considering Core Surface Roughness
Authors: Choi Youngjun , Kim Seokho 
Published: April 2023

Abstract
Recently, interest in renewable energy systems such as solar, hydrogen and wind power has increased as an alternative to fossil fuels. Renewable energy sources such as large wind and solar farms require long-distance power transmission because they are located inland or offshore, far from the city where power is required. High Temperature Superconducting (HTS) power cables have more than 5 times the transmission capacity and less than one-tenth the transmission loss compared to the existing cables of the same size, enabling large-capacity transmission at low voltage. In addition, it has perfect magnetic shielding performance, so it can fundamentally solve the electromagnetic wave environmental problem, and does not use any environmental pollutants in the existing high-voltage power cables. For commercialization of HTS power cables, unmanned operation and long-distance cooling technology of several kilometers is essential, and pressure drop characteristic is important. The cryostat's spiral corrugation tube is easier to bend, but unlike the round tube, the pressure drop cannot be calculated using the Moody chart. In addition, it is more difficult to predict the pressure drop characteristics due to the irregular surface roughness of the binder wound around the cable core. In this paper, a suitable CFD model of a spiral corrugation tube with a core was designed by referring to the water experiments from previous studies. In the four cases geometry, when the surface roughness of the core was 10mm, most errors were 15% and the maximum errors were 23%. These results will be used as a reference for the design of long-distance HTS power cables.
Application of an improved wide-narrow-band hybrid ANC algorithm in large commercial vehicle cab
Authors: Su Jintao , nie jinquan , Chen Shuming 
Published: April 2023

Abstract

In recent years, active noise reduction technology has become a research hotspot. However, most active noise reduction technologies are developed based on passenger vehicles and are not implemented in large commercial vehicles. The large commercial vehicle sound field space is large, the traditional active noise reduction method is difficult to implement. In order to explore this problem, this paper proposes an improved active noise control method for commercial vehicles :(1) based on the traditional notch filter, a notch FxLMS algorithm based on speed smoothing is proposed; (2) On the basis of the traditional wire-narrowband hybrid ANC algorithm, the reference signal weighting technology is introduced into the wide-band subsystem, and the notch FxLMS algorithm based on speed smoothing is used as the narrowband subsystem, so as to propose an improved wire-narrowband hybrid ANC algorithm. With the help of MATLAB, the simulation model of the designed algorithm is established, and the collected commercial vehicle test noise data is used as the reference signal to simulate and verify the proposed algorithm. The results show that the proposed method has certain practicability.
Checkpoint Nano-degrader to Transiently Promote Efferocytosis
in Acute Myocardial Infarction
Authors: Gao Jinfeng , Huang Zheyong , Wang Qiaozi , Li Qiyu , Tan Haipeng , Chen Jing , Yakufu Wusiman , Sun Dili , Wang Zhengmin , Yang Hongbo , Zhang Jinyan , Weng Xueyi , Wang Qibing , Qian Juying , Pang Zhiqing , Song Yanan , Ge Junbo 
Published: April 2023

Abstract
The efferocytosis of apoptotic cardiomyocytes (CMs) after acute myocardial infarction (AMI) is required for inflammation resolution and cardiac repair. However, this process would be impaired by the interaction of elevated CD47 on apoptotic CMs with receptor signal-regulatory protein alpha (SIRPα) on macrophages. Herein, based on receptor-mediated internalization, we developed senescent RBC-mimetic liposome (RLP) as a nano-degrader to promote SIRPα degradation and inhibit CD47-SIRPα axis transiently. After injection, we demonstrated that RLP modified with Ly6G antibody hitchhiked neutrophiles and was released to macrophages in the border area of the infarct heart, which was subsequently internalized by macrophages through SIRPα and degraded in lysosome. CD47-SIRPα axis blockade consequently facilitated the efferocytosis of apoptotic CMs and lead to decreased infarct area and anti-inflammatory microenvironment for improved cardiac remodeling. This nano-degrader presents a practical membrane protein degradation strategy to transiently inhibit CD47-SIRPα axis and boost apoptotic CMs efferocytosis.