Agriculture Communications最新文献

{"title":"Engineering plants to replace fossil carbon","authors":"Robert J. Henry","doi":"10.1016/j.agrcom.2025.100116","DOIUrl":"10.1016/j.agrcom.2025.100116","url":null,"abstract":"<div><div>Reduction in carbon emissions from the use of fossil fuels can be addressed by engineering plants to become a renewable resource to replace fossil carbon. Plant-based production of fuels and chemicals needs to be sustainable and cost competitive. The most abundant source of renewable carbon is lignocellulosic plant biomass. Conversion of this biomass to end products currently generates low yields due to the recalcitrance of lignified biomass. Improved processing technologies have contributed to making this economically feasible but widespread adoption of lignocellulose as a replacement for fossil carbon will require genetically improved plants with a biomass composition that facilitates processing. Large-scale production requires concentrated efforts on species delivering the highest biomass yields. Recent advances in biomass pre-treatment have delivered more cost-effective processing. Developments in the genomics of key biomass species and the availability of advanced spatial omics and gene editing now promise to provide pathways to engineer plant biomass to become a better raw material for these processes and drive rapid adoption.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100116"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Achieving precision nutrition in pigs through the utilization of mathematical modeling as a fundamental tool: A review of recent work","authors":"Qile Hu ,&nbsp;Yingying Li ,&nbsp;Xiangshi Luo ,&nbsp;Shuya Zhang ,&nbsp;Zhe Li ,&nbsp;Xue Bao ,&nbsp;Li Wang ,&nbsp;Wenxuan Dong ,&nbsp;Enkai Li ,&nbsp;Lu Wang ,&nbsp;Changhua Lai ,&nbsp;Shuai Zhang","doi":"10.1016/j.agrcom.2025.100115","DOIUrl":"10.1016/j.agrcom.2025.100115","url":null,"abstract":"<div><div>The pig industry is entering a new era characterized by artificial intelligence (AI) and interdisciplinary integration, with numerous innovative techniques facilitating the achievement of precision nutrition. This review summarizes relevant research on precision pig nutrition based on mathematical modeling conducted at the Ministry of Agriculture and Rural Affairs Feed Industry Centre (MAFIC), China Agricultural University, and compares these findings with studies from other research groups. Previous studies have shown that mathematical modeling is an effective tool for data integration and prediction. However, models in animal nutrition face challenges such as insufficient data and outdated algorithms. Therefore, developing and applying new data-collection methodologies, advanced algorithms, and platforms are necessary to achieve precision nutrition. Two novel, non-invasive, cost-effective, portable, and reproducible techniques – heart rate monitoring and bioelectrical impedance analysis – facilitate real-time predictions of heat production and enable analysis of body composition in pigs. The newly developed algorithms, including classification algorithms, artificial neural networks, data augmentation algorithms, interpretable machine learning algorithms, and multi-objective formulation algorithms, are utilized to forecast the net energy values of feedstuffs, construct nutrient requirement tables, and predict the growth performance of pigs in the context of big data and numerous parameters. Additionally, introducing new software and hardware, such as establishing big data analysis platforms and AI feed formulation software based on large language model architecture, is also significant. Moreover, future advancements in precision feeding equipment are of great interest. Integrating mathematical models with these new methods, algorithms, and software will enable the precise formulation of personalized nutrition plans and optimal adjustment of dietary structures for pigs, providing robust theoretical and practical guidance for the successful implementation of precision nutrition in pig production.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100115"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of computer vision for livestock body conformation assessment","authors":"Simon X. Yang ,&nbsp;Yongqi Han ,&nbsp;Weihong Ma ,&nbsp;Dan Tulpan ,&nbsp;Jiawei Li ,&nbsp;Junfei Li ,&nbsp;Youjun Yue","doi":"10.1016/j.agrcom.2025.100099","DOIUrl":"10.1016/j.agrcom.2025.100099","url":null,"abstract":"<div><div>Livestock body conformation is a key indicator for evaluating an animal's production performance, health status, and breeding value. Traditional conformation assessment methods, which rely on manual measurements and visual scoring, are not only time-consuming and labor-intensive but also prone to subjective. With the rapid development of computer vision and artificial intelligence technologies, novel approaches leveraging two-dimensional (2D) images, three-dimensional (3D) point cloud processing, and multimodal data fusion have become research hotspots in the field of automated conformation assessment. This paper reviews the progress of computer vision applications in livestock body conformation assessment, highlighting key methods and their potential practical value. The review encompasses core technologies such as expert knowledge-based approaches, data collection and preprocessing techniques, classical machine learning algorithms, and advanced deep learning models. Specifically, it elaborates on the implementation methods, application scenarios, and typical outcomes of these techniques in body size measurement, limb and hoof detection, reproductive organ detection, and udder detection. Furthermore, the main challenges in applying computer vision to livestock conformation assessment are outlined, including data quality issues, algorithm generalization capability, real-time performance limitations, and the cost and complexity of device deployment. Future research should aim to improve data quality, model adaptability, and deployment efficiency, ensuring scalable and cost-effective conformation assessment solutions.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methylesterification of pectic homogalacturonan and the role of PME-PMEI families in poplar wood development","authors":"Lin Zheng ,&nbsp;Biying Li ,&nbsp;Yajuan Chen ,&nbsp;Liping Ding ,&nbsp;Shanshan Xue ,&nbsp;Muqing Ma ,&nbsp;Zongyun Yan ,&nbsp;Jianhua Wei ,&nbsp;Hongzhi Wang","doi":"10.1016/j.agrcom.2025.100102","DOIUrl":"10.1016/j.agrcom.2025.100102","url":null,"abstract":"<div><div>Pectin is a key component of plant cell walls that impacts plant development by modulating cell adhesion and wall stiffness through methylesterification by pectin methylesterase (PME). While its role in primary cell walls is well established, its specific functions and regulatory mechanisms in secondary xylem (i.e., wood formation) remain poorly understood. This study investigated the role of pectin methylesterification in wood development. We discovered that both low- and high-methylesterified homogalacturonan (HG) are abundant in the cambium and expanding xylem regions of secondary vascular tissues. Using integrative bioinformatics approaches, we identified 75 <em>PtrPMEs</em> and 61 <em>PtrPMEIs</em> within the <em>Populus trichocarpa</em> genome, many of which are highly expressed during wood formation. Notably, several <em>PtrPMEs</em> and <em>PtrPMEIs</em> with similar expression patterns are capable of interacting, suggesting post-translational regulation of PME activity during wood formation. Specifically, the highly expressed <em>PtrPME10</em>, <em>PtrPME70</em>, <em>PtrPMEI50,</em> and <em>PtrPMEI58</em> during secondary cell wall deposition were co-expressed with genes involved in monolignol polymerization across 51 poplar tissues and organs, implying a putative role in lignin biosynthesis. Furthermore, overexpression of the <em>Populus</em> ortholog of <em>PtrPME45</em> in <em>P. davidiana ​× ​bolleana</em> led to increased demethylesterification of HG, resulting in reduced lengths and widths of vessel and fiber cells in secondary xylem. Our study uncovers specific roles of PME in wood formation and elucidates regulatory mechanisms controlling PME activity during wood development. These findings on the interplay between PME and lignin biosynthesis provide a potential strategy for genetic improvement of woody plants, with implications for forestry and bioenergy applications.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pangenome-wide characterization of the TCP gene family and its potential role in regulating adventitious shoot regeneration in apple","authors":"Chuanjun Chang ,&nbsp;Zushu Xie ,&nbsp;Shubiao Zhang ,&nbsp;Dantong Shao ,&nbsp;Xiaoyan Ma ,&nbsp;Lu Tong ,&nbsp;Muhammad Mobeen Tahir ,&nbsp;Zhanling Lu ,&nbsp;Ikhtiyor Namozov ,&nbsp;Dong Zhang ,&nbsp;Juanjuan Ma ,&nbsp;Yanrong Lv","doi":"10.1016/j.agrcom.2025.100101","DOIUrl":"10.1016/j.agrcom.2025.100101","url":null,"abstract":"<div><div>With rapid advancements in sequencing technologies, the genomes of numerous plant species have been deciphered. Among these, apple—a globally important fruit crop—has greatly benefited from such progress, with numerous high-quality genome assemblies providing valuable resources for genomic research and gene family studies. In this study, we analyzed the genomic characteristics of 26 <em>Malus</em> accessions, identified and classified their transcription factor (TF) families, and conducted a comprehensive pangenome-wide investigation of the TCP gene family across these accessions. Our findings revealed a strong positive correlation between genome size and transposable element (TE) content, suggesting TEs play a role in genome expansion. TF profiling showed significant variation in the abundance of certain families among different accessions. Specifically, 932 TCP genes were grouped into three subfamilies (PCF, CIN, and CYC/TB1) with a consistent compositional pattern. Orthologous gene group (OGG) analysis among the 26 <em>Malus</em> accessions revealed that core TCP genes were relatively conserved in gene count and possessed longer gene sequences and coding sequences (CDS). Synteny analyses indicated strong evolutionary conservation, with purifying selection acting on most TCP genes. Functional enrichment analysis highlighted the functional diversity within the TCP gene family. Moreover, transcriptomic analyses during adventitious shoot (AS) regeneration showed that core TCP genes were expressed at higher levels than non-core ones and identified some candidate TCP genes potentially involved in regulating AS formation. This study provides valuable insights into the evolutionary conservation and functional diversity of the TCP gene family, revealing its potential regulatory roles in AS regeneration in apple.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-destructive detection of spotted wing Drosophila infestation in blueberry fruit using hyperspectral imaging technology","authors":"Xinyang Mu,&nbsp;Yuzhen Lu","doi":"10.1016/j.agrcom.2025.100096","DOIUrl":"10.1016/j.agrcom.2025.100096","url":null,"abstract":"<div><div>Spotted Wing Drosophila (SWD) infestation in blueberries presents a significant threat to blueberry industries due to yield loss and quality safety issues during the postharvest process, where infested fruit is zero-tolerated. Current detection methods require destructive sampling, which is time-consuming and labor-intensive. Therefore, they are not suitable for high-volume inspection of individual products during postharvest handling. This study presents an innovative hyperspectral imaging-based approach to detect SWD infestation in highbush blueberry fruit. Two benchtop hyperspectral imaging systems in reflectance mode, operating in the visible-near-infrared (Vis-NIR, 400–1000 ​nm) and short-wavelength infrared (SWIR, 900–1700 ​nm) ranges, respectively, were in-house assembled for acquiring images of 945 (including 706 healthy and 235 infested) blueberry samples hand-picked from orchards. Hyperspectral imagery was processed to segment blueberries and extract mean spectra from individual samples. Infested blueberries showed lower spectral reflectance in the region of 750–1350 ​nm than normal samples. Baseline models were built using six different classifiers for sample classification, and the models based on partial least squares discriminant analysis (PLS-DA) yielded the best overall accuracy of 90.2 ​% and 92.5 ​% for the Vis-NIR and SWIR systems, respectively, with the corresponding recall rates of 74.2 ​% and 80.6 ​% for infested fruit. Three alternative modeling pipelines were proposed by implementing oversampling of the minority infested fruit class and waveband selection, through an exhaustive search for optimal methods, resulting in improved detection performance. Among the optimization strategies, oversampling proved more effective than waveband selection for enhancing model performance, and their combination (oversampling followed by waveband selection) yielded the best classification, with PLS-DA remaining the best classifier. The Vis-NIR and SWIR systems achieved the best overall accuracies of 93.7 ​% and 97.2 ​%, respectively, with the corresponding recall rates of 85.9 ​% and 95.7 ​% for infested fruit. This research showed that hyperspectral imaging, especially in the SWIR range, was useful for rapid, non-destructive detection of SWD infestation in blueberry fruit.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of global climate change on mushroom production: challenges and opportunities","authors":"Xia Guo ,&nbsp;Jianping Xu","doi":"10.1016/j.agrcom.2025.100091","DOIUrl":"10.1016/j.agrcom.2025.100091","url":null,"abstract":"<div><div>Climate change has been linked to a wide range of adverse impacts on human health and socioeconomic well-being. While mushrooms have been suggested as potential agents for mitigating climate change, the effects of climate change on mushroom production remain largely unexplored. Here, we review and analyze the potential impacts of climate change on the production of both cultivated and wild edible and medicinal mushrooms, with a focus on the impacts of changing temperature and precipitation. First, we review global temperature and precipitation scenarios projected by 2100. Most climate scientists predict that global temperature will continue to rise gradually and precipitation distribution will become increasingly uneven in the future. Second, our analyses suggest that these environmental shifts will negatively impact the productivity of most cultivated mushrooms in multiple ways, including restricted substrate supplies, damage from pests and pathogens, and high electrical expenditures, etc. Third, some wild mushrooms may benefit from warmer and more humid conditions in certain regions, leading to increased mycelial growth and fruiting. However, hotter and drier environments in other regions, as projected for the future, will likely suffer decreasing yields for most mushrooms. For many wild gourmet mushroom species, their suitable habitats may change, with the majority predicted to experience habitat shrinkage, resulting in an overall decrease in productivity. Aside from challenges, we also discuss opportunities, including incorporating smart technologies for monitoring environmental factors, utilizing artificial intelligence for predictive analytics, and automating tasks such as irrigation and cooling/heating. We note that long-term monitoring across multiple ecological zones is needed to accurately quantify the impacts of global climate change on mushroom production and fine-tune strategies for sustainable mushroom cultivation.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immune evasion strategies of Seneca Valley virus: mechanisms of host innate immune suppression","authors":"Shijie Xie ,&nbsp;Jingyu Yan ,&nbsp;Bo Jiang ,&nbsp;Jue Liu ,&nbsp;Jiangwei Song","doi":"10.1016/j.agrcom.2025.100100","DOIUrl":"10.1016/j.agrcom.2025.100100","url":null,"abstract":"<div><div>Seneca Valley virus (SVV), an emerging picornavirus, poses a significant threat to the global swine industry. Innate immunity acts as the initial defense mechanism of host cells against viral infection. Upon infection, viruses can be detected by the cellular host's pattern recognition receptors (PRRs), which trigger the activation of signaling cascades and the strong production of type I interferon (IFN-I) to limit viral replication. SVV employs diverse strategies to evade innate immunity, primarily through 3C protease, which targets host antiviral proteins to antagonize IFN-I signaling. Additionally, SVV hijacks autophagy, apoptosis, and pyroptosis to facilitate its own replication. In this review, we summarize recent research on the underlying mechanisms employed by SVV to manipulate host innate immune response and programmed cell death pathways. This review will provide insights for the design of SVV vaccines and contribute to the prevention and control of SVV infection.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moderate intermittent water deficit enhances dry matter remobilization, nitrogen uptake, and water and nitrogen use efficiency in winter wheat","authors":"Chen Ru ,&nbsp;Yuxuan Liu ,&nbsp;Wene Wang ,&nbsp;Xiaotao Hu","doi":"10.1016/j.agrcom.2025.100098","DOIUrl":"10.1016/j.agrcom.2025.100098","url":null,"abstract":"<div><div>Drought stress severely inhibits the growth and production of winter wheat, particularly after anthesis. To mitigate these effects, this study evaluated the impact of intermittent water deficit priming on physiological and yield-related traits of winter wheat under subsequent drought stress, based on a two-year experiment. Intermittent moderate water deficit priming (PID2) significantly increased photosynthetic rate (P_n) and stomatal conductance, resulting in higher dry matter accumulation and relative growth rate. Moreover, compared to non-primed plants, PID2 improved dry matter translocation efficiency and its contribution to grain by 42.3 ​% and 23.0 ​%, respectively, thereby increasing yield by 27.1 ​%. Additionally, PID2 and persistent mild water deficit priming (PPD1) improved root distribution in the middle and lower soil layers, enhancing nitrogen uptake, as well as grain nitrogen and protein accumulation. Nitrogen use efficiency for yield under PID2 and PPD1 treatments increased by 12.5 ​% and 12.2 ​%, respectively, compared to non-primed plants. The TOPSIS assessment indicated that PID2 enhanced drought tolerance in wheat most effectively, making it a promising water management strategy for mitigating post-anthesis stress.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ecological wisdom: functional plant Cosmos bipinnata enhances fitness traits of predator Harmonia axyridis strengthening biological control in greenhouse production","authors":"Jie Wang ,&nbsp;Shu Li ,&nbsp;Wenyi Yuan ,&nbsp;Séverin Hatt ,&nbsp;Yan Fang ,&nbsp;Zhenyu Jin ,&nbsp;Su Wang","doi":"10.1016/j.agrcom.2025.100097","DOIUrl":"10.1016/j.agrcom.2025.100097","url":null,"abstract":"<div><div>Functional plants play a pivotal role in plant protection by bolstering the populations of pests’ natural enemies. When utilized as companion plants, they serve as crucial components in conservation biological control. A systematic analysis of the ecological functions of candidate companion plant species is of utmost importance for effectively attracting and sustaining natural enemies, thereby promoting biological control strategies. In this study, we comprehensively examined the impact of <em>Cosmos bipinnata</em> (Asteraceae) on the olfactory behavior, lifespan, and survival of <em>Harmonia axyridis</em>, and evaluated its function in maintaining field populations and pest control capabilities. Compared to the absence of companion plants, <em>C. bipinnata</em> leaves at the vegetative stage significantly attracted <em>H. axyridis</em> females in Y-tube olfactometer assays, while both females and males significantly avoided <em>C. bipinnata</em> during the flowering stage. Additionally, females lived significantly longer when offered 5 ​<em>C. bipinnata</em> flowers daily compared to those with no food source. Moreover, providing <em>C. bipinnata</em> flowers in addition to aphids (in deprivation or <em>ad libitum</em>) also significantly increased egg production of <em>H. axyridis</em>. Furthermore, in greenhouse pepper production, the introduction of <em>C. bipinnata</em> increased the colonization rate of <em>H. axyridis</em> released in the early stages, thus achieving effective pest control in the short term. In the long term, incorporating <em>C. bipinnata</em> helped sustain multiple developmental stages of <em>H. axyridis</em> populations, accelerating pest suppression and enhancing pepper yield throughout the entire production cycle.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 3","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}