bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Robotic Arm for the Porcelain Bushing in Substation
Authors: Chen Hao , Han Wei , Xu Weilun , Tang Zongyao , Chen Yini , Xu Peng , Ma Zhaoxing 
Published: September 2023

Abstract
With the development and the application popularization of Artificial Intelligence robot technology and 5G technology, a robotic arm is designed and developed for rinsing porcelain bushing in high voltage substation in this paper. Firstly, the components and implementation of robotic arm are presented, subsequently, a circular cleaning structure with a 120-degree split is proposed to rinse the porcelain bushing. Secondly, a two-stage simple and effective method to realize automatic orientation is proposed utilizing photoelectric switches. Moreover, a prototype of robotic arm with control system is developed based on the regime switching function, and the result of edge computing is transmitted by 5G technology. Finally, feasibility and effectiveness of the robotic arm are verified in the Nanjing power grid. The case study manifests that the robotic arm developed by the proposed method in the paper can achieve efficient rinsing and all the corresponding information can be transmitted preciously. The proposed method lays a foundation for wide application of cleaning robot in high voltage substation.
Water footprint of irrigated rice in the state of Rio Grande do Sul, 2019/2020 crop
Authors: Recktenwalt Fabiane , Moraes Francisco Alexandre , Pereira Marco Alésio Figueiredo 
Published: September 2023

Abstract

Agricultural production is the practice that uses the most water on the planet, especially the irrigated agriculture, which represents a large part of this demand. As well as the quantitative issue, adequate quality is essential to meet the demands of the crop and its return to the water sources, in a way that does not cause damage to the environment. To measure this consumption, the expression “water footprint” emerged. The water footprint seeks to quantify the demand for water incorporated into products. This paper aims to determine the amount of water used to produce irrigated rice in six rice growing regions in the state of Rio Grande do Sul (RS), in the 2019/2020 crop. The mentioned regions are represented the municipalities of Uruguaiana (West Border), Dom Pedrito (Campanha), Santa Maria (Central Region), Camaquã (Internal Coastal Plain), Porto Alegre (External Coastal Plain) and Rio Grande (South Zone). Climate data from the analyzed regions, during the plant cycle, and productivity values in the crop in question were used. Values of 1,187 m³ t-1 were found for WB, 1,347 m³ t-1 for CA, 1,058 m³ t-1 for CR, 783 m³ t-1 for ICP, 1,115 m³ t-1 for ECP and 1,066 m³ t-1 for SZ. For the state of Rio Grande do Sul, an average water footprint was obtained in the 2019/2020 crop of 1,093 m³ t-1.
Synthetic Viscoelastic Activating Cells for T Cell Engineering and Cancer Therapy
Authors: Li Song , Liu Zeyang , Li Yan-Ruide , Yang Youcheng , Zhu Yu , Yuan Weihao , Hoffman Tyler , Wu Yifan , Zhu Yichen , Fang Ying , Ge Xinyang , Soto Jennifer , Yang Lili 
Published: September 2023

Abstract

Immunotherapy shows great promise for cancer treatment, but its effectiveness and durability remain limited. Thus, there is unmet needs for more robust technology for immune cell engineering. Here we develop a scalable microfluidic platform to fabricate synthetic viscoelastic activating cells (SynVACs) with programmable mechanical and chemical properties. We demonstrate that the viscoelastic nature of SynVACs significantly impacts T cell functionality. Compared to rigid or elastic microspheres, SynVACs greatly enhance human T cell expansion with drastic CD8+ T cell generation while suppressing regulatory T cell formation, resulting in enhanced tumor killing capability. Notably, expanding chimeric antigen receptor (CAR)-T cells with SynVACs achieves approximately 90% CAR transduction efficiency and leads to a six-fold increase of T memory stem cells. These engineered CAR-T cells exhibit superior efficacy in eliminating tumor cells, not only in a human lymphoma mouse model, but also in a solid tumor xenograft mouse model of ovarian cancer. Additionally, SynVAC-expanded CAR-T cells persist for longer time periods in vivo to suppress tumor growth and recurrence. These findings underscore the crucial role of mechanical signals in T cell engineering and highlight the potential of SynVAC platform in CAR-T therapy and broad immunoengineering applications.
Boehmite-Enhanced PVDF-HFP/PAN Coaxial Electrospun Nanofiber Hybrid Membrane: A Superior Separator for Lithium-Ion Batteries
Authors: Chen Zhou , Guan Mengdi , Cheng Yuwen , Li Hui , Ji Guojing , Chen Hui , Fu Xuguang , Awuye Desire Emefa , Zhu Yingbao , Yin Xichen , Man Zengming , Wu Cao 
Published: September 2023

Abstract
Polyethylene (PE) and polypropylene (PP) are widely employed in commercial lithium-ion batteries (LIBs) separators due to their superb mechanical strength and chemical stability. Nonetheless, inherent limitations such as inadequate high-temperature resilience, low porosity, and suboptimal wettability curtail their application in high-temperature settings and diminish their lifespan. Creating LIB separators with superior attributes is imperative to attain high electrochemical efficiency. Herein, we engineered nanofibers with a boehmite-modified PVDF-HFP shell and PAN core via electrospinning, subsequently integrating them into an LIB separator. Contrasted with prevailing commercial PP separators, the BM-doped PVDF-HFP/PAN (PAN@PVDF-HFP/BM) membrane showcases a commendable suite of properties, including a heightened shrinkage temperature of 160 oC, impressive porosity at 85.2%, remarkable electrolyte absorption capacity at 872.8%, and stellar ionic conductivity measuring 3.98 mS/cm. An LIB featuring the PAN@PVDF-HFP/BM separator was cycled 200 times at a current rate of 0.2C, revealing minimal specific discharge capacity decay (from 164.9mAhg-1 to 153mAhg-1), and a capacity retention rate of 93.3%. Additionally, the enhancement mechanism of the coaxial nanofiber facilitated by boehmite has been elucidated using Density Functional Theory (DFT) calculations. The PAN@PVDF-HFP/BM nanofiber membrane introduces a pioneering approach to fabricate LIB separators that boast prolonged longevity and high-temperature resilience.
Restriction of Donaldson's functional to diagonal metrics on Higgs bundles with non-holomorphic Higgs fields
Authors: Miyatake Natsuo 
Published: September 2023

Abstract
We consider a Higgs bundle over a compact K\"ahler manifold with a smooth, non-holomorphic Higgs field. We assume that the holomorphic vector bundle decomposes into a direct sum of holomorphic line bundles. Under an assumption on the zero set of the non-holomorphic Higgs field, we provide some necessary and sufficient conditions for Donaldson's functional which is restricted to the set of diagonal Hermitian metrics associated with a holomorphic decomposition of the vector bundle to attain a minimum. In particular, when the holomorphic vector bundle decomposes into a direct sum of holomorphic line bundles, we show that we can solve the Hermitian-Einstein equation under a strong assumption even if the Higgs field is non-holomorphic.
MSC Classification: 53C07 , 58E15
Tropical seamounts as stepping-stones for coral reef fishes: range extensions and new regional distributions from mesophotic ecosystems in the Coral Sea, Australia
Authors: Galbraith Gemma F , Cresswell Benjamin J , McClure Eva C , Hoey Andrew S 
Published: September 2023

Abstract
Seamounts and remote oceanic islands provide valuable natural laboratories in which to study patterns and processes in marine biodiversity. A central hypothesis arising from studies of these systems is the ecological function of seamounts as stepping stones for dispersal and population connectivity. Evidence of this mechanism exists for a range of taxa, including coral reef fishes, but is still lacking from many tropical seamounts in remote regions. In this study, we used remotely operated vehicles and baited remote underwater video systems to survey fish and benthic communities between 1 – 100m on seamounts in the Coral Sea Marine Park (CSMP), Australia. We found evidence to support the stepping stone model of ecological connectivity from new observations of sixteen coral reef fishes which have previously not been recorded by quantitative surveys in the region. The widespread distribution of many of these species throughout the full latitudinal extent of the CSMP suggests that the there is greater connectivity between mesophotic habitats in the Coral Sea and surrounding biogeographic regions than previously known. We also found a wide variety of mesophotic habitats and recorded significant depth range extensions for seventy-eight fishes in these habitats. This further highlights the potential role of increased habitat area and heterogeneity in a stepping stone effect throughout the region. Four of the fish occurrence records represent significant range extensions into the Coral Sea from adjacent biogeographic regions and thirteen fishes recorded by this study in the CSMP are not known from the neighbouring Great Barrier Reef, despite its close proximity. Although the Coral Sea remains relatively understudied, these findings suggest that larger-scale models of marine biogeography are relevant to communities in the region, particularly at mesophotic depths. Given the extent and the spatial arrangement of seamounts in the Coral Sea, our findings emphasise that the region is an important link between the centre of marine biodiversity in the Coral Triangle and the Southwest Pacific. Greater mesophotic sampling effort and genetic studies are necessary to understand the nature of connectivity and, to establish the role of regional seamount chains, like the Coral Sea reefs, in broader marine biogeographic processes.
Surface Roughness parameters at a Tropical Semi-Arid Site: 4 years of Atmosphere Boundary Layer observations in the Deccan Plateau region at Shadnagar, India
Authors: Sakuru Sai Krishna V. S. , Mallikarjun K. , Kumar N.V.P. Kiran , Ramana M.V. 
Published: September 2023

Abstract
Accurate inputs of surface roughness parameters are vital for estimating exchange of fluxes between surface and atmosphere, dispersion and transport of pollutants, wind erosion, and wind energy assessment studies, especially over heterogeneous and undulating surfaces. The surface roughness parameters are derived using observations from a 32m meteorological tower during 2016 to 2019. The site is located in the Deccan Plateau region at Shadnagar, India (17°01'59.7"N, 78°11'14.2"E) and experiences a tropical semi-arid climate. We employed multi-level low-frequency measurements (1-min) with a logarithmic wind profile method and single-level high-frequency measurements (20 Hz) with six alternative methods. The zero-plane displacement height (\(d\)) is observed to be 15.8 ± 0.37 m using the former approach, and 15.7 ± 1.7 m using the latter. Similarly, the aerodynamic roughness length for momentum (\({z}_{0}\)) is observed to be 0.1 ± 0.06 m and 0.27 ± 0.2 m, respectively. The \(d\) and \({z}_{0}\) vary within the range 12.8 to 19.4 m and 0.05 to 0.42 m respectively, across eight wind-direction sectors. Influence of seasonal changes in vegetation due to shedding of leaves is evident; \(d\) and \({z}_{0}\) vary by 3 to 6% and 11 to 50%, respectively. Vertically extrapolated winds compared favourably against 100 m ERA5 reanalysis winds over the western sector, suggesting the optimal parameterization within ERA5 for cropland and shrub land covers which dominate these sectors. Our findings indicate that canopy height-based rule-of-thumb guidelines may not suitably estimate roughness parameters for the heterogeneous native land cover, dominated by shrubs and sparsely distributed trees, of the region.
Effect of multifaceted social norms on physicians’ use of clinical practice guidelines on antimicrobials: Evidence from secondary and tertiary general hospitals in central-western China
Authors: Wang Lingjie , Liu Wenbin 
Published: September 2023

Abstract
Background
With the improper use of antimicrobials becoming a major public health concern globally, poor compliance of clinical practice guidelines(CPGs) on antimicrobials is still prominent, especially in less developed regions. Although social norms have received increasing attention as the determinants of physicians’ CPGs use, most studies set forth only a single level of social norms. Therefore, this study aims to investigate the impact of multifaceted social norms on physician’ use of CPGs on antimicrobials, and further reveal the temporal effects of social norms.
Methods
Based on integration of Theory of Planned Behavior and Theory of Normative Social Behavior, a questionnaire survey was conducted covering social norms at individual level (subjective norms), organizational level (organization criterion) and social level (social identity), as well as other potential factors (attitudes, behavioral intention, etc) for the use of CPGs on antimicrobials. Data were collected by multi-stage random sampling from 502 physicians in secondary and tertiary general hospitals in central-western China. Structural equation model (SEM) was used to link the three-level factors with physician's behavior. And with reflected by the moderating effects of professional titles in this study, the temporal effects of social norms were examined by multi-group SEM.
Results
Nearly 70% of the participants had a good practice of using CPGs on antimicrobials. Reliability and validity analysis shows that the questionnaire developed from the theoretical model is acceptable. Subjective norms, organization criterion and social identity were linked to higher behavioral intentions(β = 0.212, p < 0.01; β = 0.254, P < 0.01; β = 0.212, P < 0.01). The direct effect of behavior intentions on physicians' practice was 0.822, and the indirect effects of subjective norms, organizational criterion and social identity on practice were 0.308, 0.236 and 0.235. The effects of organization criterion and social identity on behavior were moderated by the professional title, and regarding effects would be weakened with the rise of professional title.
Conclusion
This study reveals the importance of multifaceted social norms in enhancing physicians’ use of CPGs on antimicrobials and the moderating effects of professional titles on the role of social norms at organizational level (organizational criterion) and social level (social identity).
Recession Prediction using SVM and linear regression
Authors: Nashikkar Siddharth , Hanamar Aryaa , Pathan Nuren , Mulla Heena 
Published: September 2023

Abstract
In this study, We present a groundb­reaking approach utilizing machine learning to predict economic reces­sions. By analyzing key indic­ators like real gross domestic product, income, employment, manufacturing, and retail sales, we can forecast the likelihood of a recession occurring in a specific year using Python 3 and employing Linear Regre­ssion and Support Vector Regre­ssion algor­ithms. This user-f­riendly application not only provides advanced warning of reces­sions but also assists policy­makers and busin­esses in making timely and informed decisions for economic stability and resil­ience.
Performance assessment of a new G12/A1 antibody-based rapid ELISA using commercially available and gluten-spiked food samples
Authors: Verma Anil K. , Monachesi Chiara , Catassi Giulia N. , Franceschini Elisa , Gatti Simona , Lionetti Elena , Catassi Carlo 
Published: September 2023

Abstract
Background
Food products with < 20 mg/kg gluten can be labeled ‘gluten-free’ according to international regulations. Several antibodies based ELISAs have been develop to track gluten traces in food products. Among them, R5 and G12 antibody-based ELISAs are the frequently used methods. However, these antibodies have certain limitations.
Aims
We evaluated the accuracy of G12/A1 antibody-based 'Glutentox ELISA Rapid G12' and compared the results with the current reference method i.e., R5 antibody-based ‘Ridascreen R5 ELISA’.
Methods
In the first step, performance of Glutentox ELISA Rapid G12 kit was inspected by determination of the threshold value i.e.,> or < 20 mg/kg gluten in different food products. In the second step, quantification accuracy was assessed by quantification of gluten in gluten-free food products spiked with gliadin reference material.
Results
In total 47 food products (naturally and labeled gluten-free, and food with traces of gluten) were included. Of them, 29 products were quantified with < 20 mg/kg, and 18 with a low level of gluten by both the kits. Six out of 29 gluten-free products were used for the recovery test at different spike levels. Gluten concentration and mean recovery rates of individual kits showed consintency.
Conclusions
GlutenTox Rapid G12 ELISA could be an appropriate choice for detecting gluten in food products but needs more investigation e.g. more in-house validation and a collaborative test.
Bio-Synthesis and Synergistic Effects of Cu-Ag Bimetallic Nanoparticles Using Argyreia Nervosa Leaf Extract for Antibacterial Applications
Authors: Kalakonda Parvathalu , Kathi Rajitha , GL Merlinsheeba , Dabbeta Naveen Kumar , Madipoju Naveen Kumar , L Soujanya M , Morampudi Vijay , Banne Sreenivas , Mandal Pritam , Naidu Ramu , Khanam Sarvani Jowhar , Banavoth Murali , Eve Nainavinodini Sudarsanam , Podila Bala Bhaskar 
Published: September 2023

AbstractA novel biosynthesis of metal nanoparticles and their potential applications have attracted many researchers, as metal nanoparticles are effectively used in biomedical applications. We study copper-silver bimetallic nanoparticles (Cu-Ag BMNPs) through this biosynthesis, which utilizes Argyreia Nervosa (AN) plant leaf green extract as a capping, reducing and stabilizing agents. The biosynthesis methodology, which is operationally simple and cost-effective, and silver nitrate (AgNO3) and cupric oxide (CuO) are used as precursor materials. Comprehensive characterization of the Cu-Ag BMNPs was conducted using X-Ray Diffraction (XRD), UV-Vis Spectrometer, Scanning Electron Microscopy (SEM), Zeta Seizer, and Fourier Transformed Infrared spectrometer (FTIR). SEM analysis revealed the formation of Cu-Ag BMNP aggregates with sizes ranging from 25 to 100 nm. The FTIR results indicate successful removal of organic and inorganic impurities, which is corroborated by the XRD data. To assess antimicrobial properties of the Cu-Ag BMNPs, disk diffusion and Minimum Inhibition Concentration (MIC) assays are performed against Escherichia coli (E. coli) as the target pathogen, and results are compared to a standard reference of Gentamicin antibiotic. The antimicrobial tests demonstrate that the Cu-Ag BMNPs exhibit remarkable antimicrobial activity with high minimum inhibition concentration (MIC) values and a broad zone of inhibition in the disc diffusion assays against E. coli. The results showed the potential antimicrobial activity of the synthesized BMNPs against the tested bacteria. The green synthesis approach employed in this study provides a sustainable and eco-friendly method for synthesizing Cu-Ag-BMNPs with potential antimicrobial properties.
Backbone NMR resonance assignments for the C terminal domain of the Streptococcus mutans adhesin P1
Authors: Peng Emily-Qingqing , Nogueira M. Luiza Caldas , Rivière Gwladys , Brady L. Jeannine , Long Joanna R. 
Published: September 2023

Abstract
Adhesin P1 (aka AgI/II) plays a pivotal role in mediating Streptococcus mutans attachment in the oral cavity, as well as in regulating biofilm development and maturation. P1’s naturally occurring truncation product, Antigen II (AgII), adopts both soluble, monomeric and insoluble, amyloidogenic forms within the bacterial life cycle. Monomers are involved in important quaternary interactions that promote cell adhesion and the functional amyloid form promotes detachment of mature biofilms. The heterologous, 51-kD C123 construct comprises most of AgII and was previously characterized by X-ray crystallography. C123 contains three structurally homologous domains, C1, C2, and C3. NMR samples made using the original C123 construct, or its C3 domain, yielded moderately resolved NMR spectra. Using Alphafold, we re-analyzed the P1 sequence to better identify domain boundaries for C123, and in particular the C3 domain. We then generated a more tractable construct for NMR studies of the monomeric form, including quaternary interactions with other proteins. The addition of seven amino acids at the C-terminus greatly improved the spectral dispersion for C3 relative to the prior construct. Here we report the backbone NMR resonance assignments for the new construct and characterize some of its quaternary interactions. These data are in good agreement with the structure predicted by Alphafold, which contains additional β-sheet secondary structure compared to the C3 domain in the C123 crystal structure for a construct lacking the seven C-terminal amino acids. Its quaternary interactions with known protein partners are in good agreement with prior competitive binding assays. This construct can be used for further NMR studies, including protein-protein interaction studies and assessing the impact of environmental conditions on C3 structure and dynamics within C123 as it transitions from monomer to amyloid form.
A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO
Authors: Han Fei , Li Fanyu , Ling Qinghua , Han Henry , Lu Tianyi , Jiao Zijian , Zhang Haonan 
Published: September 2023

Abstract
Feature selection can be seen as a multi-objective task, where the goal is to select a subset of features that exhibit minimal correlation among themselves while maximizing their correlation with the target label. Multi-objective particle swarm optimization algorithm (MOPSO) has been extensively utilized for feature selection and has achieved good performance. However, most MOPSO-based feature selection methods are random and lack knowledge guidance in the initialization process, ignoring certain valuable prior information in the feature data, which may lead to the generated initial population being far from the true Pareto front (PF) and influence the population's rate of convergence. Additionally, MOPSO has a propensity to become stuck in local optima during the later iterations. In this paper, a novel feature selection method (fMOPSO-FS) is proposed. Firstly, with the aim of improving the initial solution quality and fostering the interpretability of the selected features, a novel initialization strategy that incorporates prior information during the initialization process of the particle swarm is proposed. Furthermore, an adaptive hybrid mutation strategy is proposed to avoid the particle swarm from getting stuck in local optima and to further leverage prior information. The experimental results demonstrate the superior performance of the proposed algorithm compared to the comparison algorithms. It yields a superior feature subset on seven UCI benchmark datasets and four gene expression profile datasets.