Agriculture Communications最新文献

{"title":"Advancements in leaf-scale radiative transfer modeling: A review with focus on the PROSPECT model","authors":"Fenghua Yu ,&nbsp;Shuang Xiang ,&nbsp;Zhongyu Jin ,&nbsp;Juchi Bai ,&nbsp;Tongyu Xu","doi":"10.1016/j.agrcom.2026.100122","DOIUrl":"10.1016/j.agrcom.2026.100122","url":null,"abstract":"<div><div>Accurate estimation of leaf biochemical parameters is fundamental to understanding the physiological status of terrestrial vegetation at the leaf level. Leaf radiative transfer models (RTMs) provide an important theoretical basis for establishing the relationship between leaf spectral information and biochemical information, which simulates the radiative transfer processes and light interaction mechanisms within vegetation. As the most widely used leaf-scale RTM, the PROSPECT model can accurately simulate leaf spectral reflectance and transmittance by inputting leaf structural parameters and physical and chemical parameters. When combined with inversion technologies, RTMs can retrieve the biochemical parameters and leaf structure information of vegetation. It is of great significance to comprehensively review the application of RTMs in leaf spectral simulation and biochemical parameter inversion. The purpose of this paper is to review the development and applications of existing RTMs, focusing on the evolution of the PROSPECT model. The results show that the assumption of a uniform distribution inside the leaf is not completely realistic. Current understanding of leaf internal anatomy remains inadequate. In terms of inversion, physics-based RTMs are still underexplored. Furthermore, RTM inversion studies focused on dominant pigments such as chlorophyll, while carotenoids and anthocyanins received little attention due to their relatively low content.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"4 1","pages":"Article 100122"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190197","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":"The graphical barley pangenome reveals micro- and macro-scale genetic variation","authors":"Brett Chapman ,&nbsp;Viet Dang ,&nbsp;Tianhua He ,&nbsp;Camilla Hill ,&nbsp;Haifei Hu ,&nbsp;Penghao Wang ,&nbsp;Philipp E. Bayer ,&nbsp;David Edwards ,&nbsp;Gabriel Keeble-Gagnère ,&nbsp;Josquin Tibbits ,&nbsp;Chengdao Li","doi":"10.1016/j.agrcom.2026.100131","DOIUrl":"10.1016/j.agrcom.2026.100131","url":null,"abstract":"<div><div>Graphical pangenomes and orthologous gene clustering visualisations offer powerful tools to analyse, validate, and extract genomic variations within a species. For crop genomics, integrating these models and algorithms into complex and large genomes is essential to unlock the potential of genomic technology. Barley (<em>Hordeum vulgare</em> L.) is an important crop for the global malting industry, and faces increasing challenges from climate change and rising production demands. In this study, we integrated pangenome graph and orthologous gene clustering tools and applied them to multiple high-quality barley genome assemblies. This approach revealed a detailed and compact representation of genetic diversity, capturing variation from base-pair level to large structural rearrangements across the entire barley pangenome. Using pangenome graph and gene clustering analyses, we identified substantial structural variation (SV) between barley cultivars and landraces and characterised presence–absence variation (PAV) and copy number variation (CNV) patterns. Through hierarchical edge bundles, network plots, and sequence tube maps of genes controlling row-type, we identified haplotype blocks defined by single-nucleotide polymorphisms (SNPs) and InDels. Linearised genome graph visualisation via the Panache pangenome browser further enabled exploration of PAV regions. Together, these visualisation approaches demonstrate how multiple levels of resolution in a graphical pangenome can provide a unified view of genomic variation. The genomic resources and tools developed here expand the toolkit for barley breeding and genetic improvement.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"4 1","pages":"Article 100131"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147399208","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":"Multi-objective optimization of cold chain distribution routes considering traffic congestion","authors":"Zhipeng Nan ,&nbsp;Xinting Yang ,&nbsp;Luis Ruiz-Garcia ,&nbsp;Jingna Qiu ,&nbsp;Yimeng Feng ,&nbsp;Jiawei Han","doi":"10.1016/j.agrcom.2025.100104","DOIUrl":"10.1016/j.agrcom.2025.100104","url":null,"abstract":"<div><div>This study presents an advanced multi-objective optimization model for cold chain distribution (CCD) that explicitly accounts for the impact of traffic congestion on key cost components. By integrating fixed costs, transportation costs, refrigeration costs, and carbon emission costs, along with customer satisfaction, the model aims to minimize total distribution costs while satisfying both environmental and operational constraints. An improved genetic algorithm (I-GA) is applied to optimize CCD routes under these constraints. Simulation results demonstrate that the I-GA significantly outperforms the traditional genetic algorithm (T-GA) in terms of the number of vehicles used and total travel distance. Notably, although incorporating traffic congestion into the model increases the overall CCD cost by 7.06 ​%, it concurrently reduces carbon emission costs by 3.72 ​%. Furthermore, the study identifies a synergistic effect when optimizing refrigeration costs and carbon emission costs jointly: this dual optimization results in only minimal increases in overall cost. This research provides a valuable decision-support tool for enterprises to develop more efficient, sustainable, and profitable CCD strategies.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145247994","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":"Development and application of the SNP14K array to accelerate Brassica rapa genetic research","authors":"Bin Zhang ,&nbsp;Tongbing Su ,&nbsp;Xiaoyun Xin ,&nbsp;Weihong Wang ,&nbsp;Xiuyun Zhao ,&nbsp;Deshuang Zhang ,&nbsp;Yangjun Yu ,&nbsp;Fenglan Zhang ,&nbsp;Peirong Li ,&nbsp;Shuancang Yu","doi":"10.1016/j.agrcom.2025.100111","DOIUrl":"10.1016/j.agrcom.2025.100111","url":null,"abstract":"<div><div><em>Brassica rapa</em> is one of the most important vegetable crops with the largest cultivation area in China. Compared with other genotyping technologies, the Affymetrix Axiom genotyping with single nucleotide polymorphism (SNP) array has become popular due to its high-throughput, flexibility, and efficiency. In this study, we successfully developed the first SNP14K array for <em>B. rapa</em> based on resequencing data from 189 accessions. The array contains 148,399 high-quality SNPs evenly distributed across the genome. Minor Allele Frequency (MAF) analysis indicated that these SNPs are highly polymorphic. Principal component analysis (PCA) clearly distinguished different subspecies among the 189 ​<em>B. rapa</em> accessions. Population structure and phylogenetic analyses demonstrated that the 148,399 high-quality SNPs are representative. Next, we assessed the genetic relationships of 97 ​<em>B. rapa</em> varieties using the SNP14K array on the Axiom genotyping system. Phylogenetic analysis showed that these 97 cultivars were divided into seven distinct subpopulations: Chinese cabbage, Pak choi, Wawacai, Baibangkuaicai, Qingbangkuaicai, Caixin, and one mixed type. In addition, major quantitative trait loci (QTLs) related to leaf trichome and flowering time were accurately identified using the SNP14K array. This newly developed SNP14K array provides a valuable tool for genetic diversity analysis, gene/QTL mapping, and molecular breeding in <em>B</em>. <em>rapa</em>.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571395","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":"miR-493-3p promotes porcine muscle satellite cells differentiation and the formation of slow muscle fibers through MKK7/JNK axis","authors":"Lingling Wu ,&nbsp;Zhaolu Wang ,&nbsp;Xiaoting Wu,&nbsp;Yidi Zhang,&nbsp;Gongshe Yang,&nbsp;Jianjun Jin,&nbsp;Xin'e Shi","doi":"10.1016/j.agrcom.2025.100114","DOIUrl":"10.1016/j.agrcom.2025.100114","url":null,"abstract":"<div><div>MicroRNAs (miRNAs) are key regulators of porcine myogenesis. In this study, we elucidated the regulatory role of miR-493-3p in skeletal muscle development. miR-493-3p showed a preferential expression pattern in skeletal muscle, with significantly higher expression in slow-twitch muscle than in fast-twitch muscle. Functional analyses revealed that overexpression of miR-493-3p inhibited the proliferation of porcine primary muscle satellite cells (MSCs) while promoting their differentiation and slow-twitch myofiber formation. In mouse, adeno-associated virus (AAV)-mediated overexpression of miR-493-3p significantly increased the cross-sectional area (CSA) of tibialis anterior muscle and promoted the proportion of slow-twitch myofibers. Furthermore, bioinformatic analysis and Dual-Luciferase Reporter Assay identified <em>MAP kinase kinase 7</em> (<em>MKK7</em>) as a direct target of miR-493-3p. The miR-493-3p inhibited <em>MKK7</em> expression, consequently reducing phosphorylated c-Jun N-terminal kinase (p-JNK) levels. Overall, our data demonstrate that miR-493-3p promotes porcine MSC differentiation and slow-twitch myofiber formation <em>via</em> inhibiting the MKK7/JNK axis. This finding enhances our understanding of miRNA-regulated skeletal muscle developmental networks and provides a potential strategy for improving pork production and meat quality.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100114"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684146","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":"The mechanisms of Wickhamomyces anomalus in control of postharvest black spot disease in tomatoes and the preparation of its biocontrol solid products","authors":"Xi Zhang,&nbsp;Marui Zhu,&nbsp;Dhanasekaran Solairaj,&nbsp;Kaili Wang,&nbsp;Qiya Yang,&nbsp;Hongyin Zhang","doi":"10.1016/j.agrcom.2025.100112","DOIUrl":"10.1016/j.agrcom.2025.100112","url":null,"abstract":"<div><div>Postharvest black spot of tomato causes considerable economic losses to the tomato industry. Biological control presents a sustainable and efficient alternative. This study investigated the biocontrol mechanism of <em>Wickhamomyces anomalus</em> and optimized its lyoprotectant formulation using response surface methodology. Results revealed that <em>W. anomalus</em> effectively antagonizes <em>Alternaria alternata</em> by colonizing tomato tissues and inhibiting spore germination and hyphal growth <em>in vitro</em>. Response surface analysis identified the optimal lyoprotectant formulation as follows: sorbitol (6.44 ​g/100 ​mL), skimmed milk powder (10.49 ​g/100 ​mL), L-glutamine sodium (3.18 ​g/100 ​mL), and trehalose (4.94 ​g/100 ​mL). Under this formulation, the survival rate of lyophilized <em>W. anomalus</em> was 85.9 ​%. Notably, the formulation maintained high storage stability, with a survival rate of 67.0 ​% after 90 days. During storage, the biocontrol efficacy against black spot remained robust – the rot rate of <em>W. anomalus</em>-treated tomatoes only increased from 14.1 ​% to 24.0 ​%, demonstrating its persistent biocontrol activity. In conclusion, an efficient and stable biocontrol agent based on <em>W. anomalus</em> has been developed, offering a promising solution for controlling postharvest diseases in tomatoes.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684147","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":"Phenology and seed treatment impacts surface defenses and fall armyworm (Spodoptera frugiperda) growth in rice (Oryza sativa)","authors":"Devi Balakrishnan,&nbsp;Jessica Ayala,&nbsp;Alejandro Vasquez,&nbsp;Nick Bateman,&nbsp;Rupesh Kariyat","doi":"10.1016/j.agrcom.2025.100105","DOIUrl":"10.1016/j.agrcom.2025.100105","url":null,"abstract":"<div><div>Rice (<em>Oryza sativa</em> L.) is considered as the most important staple food crop in the world, feeding half of the global population. One of the emerging concerns in rice is the fall armyworm (<em>Spodoptera frugiperda</em>, FAW), a highly polyphagous insect herbivore. Although FAW has been well studied across many host systems, rice-FAW interactions—including the effects of phenology and seed treatment—are less understood. In this study, we examined the response of FAW to rice under a thiamethoxam seed treatment across three different phenological stages (V5: tillering; V11: maximum tillering; R3: panicle exsertion). We used four commonly grown cultivars in USA, exposed them to FAW for a short period of 48 ​h, and conducted a separate long-term feeding experiment using an artificial diet fortified with leaf material from treated and untreated plants. Data on FAW growth and development traits, rice surface defense levels, and FAW larval feeding behavior were collected. Our results showed that FAW response was significantly affected by seed treatment and rice phenological stages. Interestingly, maximum tillering, the most resistant stage against FAW was also found to have the highest levels of epicuticular wax and trichomes (after the V5 stage)—the two major surface defenses compared to the reproductive stage. We also found that seed treatment negatively affected wax content and increased FAW mortality. In light of the consequent changes in pest biology and emerging insecticide resistance, our data highlight the importance of rice phenology and seed treatment effects on innate rice defenses, as well as their consequences for herbivore feeding.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145322568","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":"Effect of bagging treatment on fruit anthocyanin biosynthesis in sweet cherry","authors":"Chen Feng ,&nbsp;Qingqing Guo ,&nbsp;Chuanbao Wu ,&nbsp;Xiaoming Zhang ,&nbsp;Jing Wang ,&nbsp;Guoqing Song ,&nbsp;Guohua Yan ,&nbsp;Yu Zhou ,&nbsp;Wei Wang ,&nbsp;Kaichun Zhang ,&nbsp;Xuwei Duan","doi":"10.1016/j.agrcom.2025.100103","DOIUrl":"10.1016/j.agrcom.2025.100103","url":null,"abstract":"<div><div>Bagging is a generic technique to improve fruit quality in fruit trees, but its specific impact on the coloration of sweet cherries remains unclear. In this study, we integrated transcriptomic and metabolomic analyses to dissect the regulatory networks of metabolites and genes affected by yellow-black double-layered bagging. Our results demonstrated that bagging enhanced the coloration of ‘Lapins’ cherries, accompanied by significant increases in the concentrations of key anthocyanins (ACNs), including cyanidin-3-O-glucoside, pelargonidin-3-O-rutinoside, peonidin-3-O-rutinoside, and cyanidin-3-O-rutinoside. Bagged cherries also showed marked accumulation of glucose, D-sorbitol, and D-fructose, which may contribute to ACN synthesis. In terms of hormones, the concentrations of four compounds—one abscisic acid derivative, two auxins, and one jasmonic acid derivative—exhibited positive correlations with ACN accumulation, while two cytokinins exhibited negative correlations, suggesting hormone-specific regulatory roles in coloration. Transcriptomic analysis revealed that changes in ACN synthesis-related genes drove the observed coloration differences. Specifically, <em>PavMYB10.1</em> and <em>PavNAC02</em> acted as positive regulators, promoting ACN biosynthesis, while PavBBX24 functioned as a negative regulator, preventing excessive ACN accumulation under normal light conditions. These findings suggest that bagging affects sweet cherry fruit coloration by regulating ACN accumulation, thereby enhancing our understanding of the underlying molecular mechanisms.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145322569","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":"From plants to pest targets: Revisiting botanical insecticides for lepidopteran pest management","authors":"Farman Ullah ,&nbsp;Guru-Pirasanna-Pandi Govindharaj ,&nbsp;Moazam Hyder ,&nbsp;Satyabrata Sarangi ,&nbsp;Hina Gul ,&nbsp;Xiaowei Li ,&nbsp;Raul Narciso C. Guedes ,&nbsp;Nicolas Desneux ,&nbsp;Yaobin Lu","doi":"10.1016/j.agrcom.2025.100113","DOIUrl":"10.1016/j.agrcom.2025.100113","url":null,"abstract":"<div><div>Botanical insecticides, derived from plant sources, have been used for millennia, long before the advent of synthetic chemicals. Though marginalized since the Green Revolution, growing concerns about the environmental and health impacts of synthetic insecticides have revived interest in these natural alternatives. Lepidopteran pests, particularly caterpillars, remain among the most damaging agricultural threats and are still predominantly managed with synthetic insecticides. Botanical insecticides offer a promising alternative due to their biodegradability, reduced environmental persistence, and diverse bioactivities—including insecticidal, antifeedant, and repellent effects—linked to compounds from neem, jatropha, rotenone-containing plants, and other sources. Recent breakthroughs in nanoformulations, such as nanoemulsions and metallic or polymeric nanoparticles, have significantly enhanced the efficacy, delivery efficiency, and stability of botanical insecticides. Nano-encapsulated extracts—like neem or rosemary extracts combined with silver nanoparticles—have shown superior pest control at lower dosages and reduced phytotoxicity. Yet, these technological advances have outpaced our understanding of their ecological implications. Key knowledge gaps remain regarding long-term environmental impacts, resistance evolution in target pests, and non-target organism effects. Most research continues to focus on a narrow range of plant species and active ingredients, while broader issues like large-scale production, and field-scale efficacy are underexplored. To fully exploit the potential of botanical insecticides, future efforts must prioritize ecological risk assessment, broaden the spectrum of studied plants, and integrate molecular tools such as CRISPR-Cas9, RNA interference (RNAi), transcriptomics, and machine learning. These tools provide deeper insights into pest physiology and resistance mechanisms, promoting precision, resilience, and environmental safety. Realizing this vision will require interdisciplinary collaboration to develop greener extraction methods, establish harmonized regulatory pathways, and conduct rigorous ecological risk assessments.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684149","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":"Tracking plant growth using image sequence analysis","authors":"Yiftah Szoke ,&nbsp;Guy Shani","doi":"10.1016/j.agrcom.2025.100110","DOIUrl":"10.1016/j.agrcom.2025.100110","url":null,"abstract":"<div><div>Automated plant phenotyping can help to monitor the growth process of crops, eliminating the high costs associated with traditional manual approaches. Using low-cost devices (e.g., digital cameras), RGB images can be captured under field or greenhouse conditions to track various phenotypes. In this paper, we focused on a particular task – tracking plant growth by identifying and monitoring plant nodes in greenhouse-grown crops. We used a setup where a digital camera captured images at 1-h intervals, with object detection algorithms employed to facilitate rapid and cost-effective tracking of nodes. The main challenge addressed in this paper involved tracking nodes that were hidden temporarily caused by diurnal leaf movements – leaves obscure some nodes at different times throughout the day. Because a node may be hidden for a few hours but visible at other times during the day, one can predict its location while it is hidden. We proposed two approaches, clustering and linear interpolation, for estimating hidden node locations. We collected a set of greenhouse datasets for different crops and conducted empirical comparisons of our methods. Results showed that our approach predicted the node location with an average error of less than 4 ​cm.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"3 4","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571393","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}