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Highly Strong,Tough,and Cryogenically Adaptive Hydrogel Ionic Conductors via Coordination Interactions

research 2024年第3期2024卷 703-713页

作者： Zhuomin Wang Siheng Wang Lei Zhang He Liu Xu Xu Institute of Chemical Industry of forestry Products Key Laboratory of Biomass Energy and MaterialJiangsu ProvinceKey Laboratory of Chemical Engineering of Forest ProductsNational Forestry and Grassland AdministrationNational Engineering Research Center of Low-Carbon Processing and Utilization of Forest BiomassJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest ResourcesChinese Academy of ForestryNanjing 210042China College of Chemical engineering Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest ResourcesNanjing Forestry UniversityNanjing 210037China.

Despite the promise of high flexibility and conformability of hydrogel ionic conductors,existing polymeric conductive hydrogels have long suffered from compromises in mechanical,electrical,and cryoadaptive properties due to monotonous functional improvement strategies,leading to lingering ***,we propose an all-in-one strategy for the preparation of poly(acrylic acid)/cellulose(PAA/Cel)hydrogel ionic conductors in a facile yet effective manner combining acrylic acid and salt-dissolved cellulose,in which abundant zinc ions simultaneously form strong coordination interactions with the two polymers,while free solute salts contribute to ionic conductivity and bind water molecules to prevent ***,the developed PAA/Cel hydrogel simultaneously achieved excellent mechanical,conductive,and cryogenically adaptive properties,with performances of 42.5 MPa for compressive strength,1.6 MPa for tensile strength,896.9%for stretchability,9.2 MJ m^(−3)for toughness,59.5 kJ m^(−2)for fracture energy,and 13.9 and 6.2 mS cm^(−1)for ionic conductivity at 25 and−70°C,*** by these features,the resultant hydrogel ionic conductor is further demonstrated to be assembled as a self-powered electronic skin(e-skin)with high signal-to-noise ratio for use in monitoring movement and physiological signals regardless of cold temperatures,with hinting that could go beyond high-performance hydrogel ionic conductors.

关键词： Highly freezing salts

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High-Value-Added Utilization of Turpentine:Screening of Anti-Influenza Virus Agents fromβ-Pinene Derivatives

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Journal of Renewable Materials 2024年第1期12卷 45-56页

作者： Yiwen Li Hongyan Si Peng Wang Hai Luo Minggui Shen Xiaoping Rao Zhanqian Song Shibin Shang Zongde Wang Shengliang Liao East China Woody Fragrance and Flavor engineering research center of national forestry and grassland administration Camphor Engineering Research Center of National Forestry and Grassland AdministrationCollege of ForestryJiangxi Agricultural UniversityNanchang330045China Institute of Chemical Industry of forestry Products China Academy of ForestryNational Engineering Laboratory for Biomass Chemical UtilizationKey and Open Laboratory of Forest Chemical EngineeringState Forestry AdministrationKey Laboratory of Biomass Energy and MaterialJiangsu ProvinceNanjing210042China College of Chemical engineering Huaqiao UniversityXiamen361021China

Turpentine is a renewable and resourceful forest *** deep processing and utilization of turpentine,particularly its primary componentβ-pinene,has garnered widespread *** study aimed to synthesize 40 derivatives ofβ-pinene,including nopinone,3-cyanopyridines of nopinone,myrtanyl acid,myrtanyl acylthioureas,and myrtanyl *** assessed the antiviral activities of theseβ-pinene derivatives against influenza virus A/Puerto Rico/8/34(H1N1)using the 3-(4,5-dimetylthiazol-2-yl)-2,5-diphenyltetrazolium bromide ***β-pinene derivatives were used before and after cellular infection with the influenza virus to evaluate their preventive and therapeutic effects against the H1N1 *** results showed that only compound 10o exhibited a preventive effect against the H1N1 virus with a half-maximal inhibitory concentration(IC50)value of 47.6μmol/*** the compounds,4e,4i,and 4l demonstrated therapeutic effects against cellular infection,with compound 4e displaying the most potent therapeutic effect(IC50=17.5μmol/L),comparable to the positive control *** findings indicated that certainβ-pinene derivatives exhibited in vitro antiviral activity against the H1N1 influenza A virus,warranting further investigation as potential anti-influenza agents.

关键词： Antiviral activity β-pinene derivative 3-cyanopyridine influenza virus

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Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships

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Computers, Materials & Continua 2024年第6期79卷 4259-4281页

作者： Xiuyang Meng Chunling Wang Jingran Yang Mairui Li Yue Zhang Luo Wang School of Information Science and Technology Beijing Forestry UniversityBeijing100083China engineering research center for forestry-Oriented Intelligent Information Processing of national forestry and grassland administration Beijing100083China

Suicide has become a critical concern,necessitating the development of effective preventative *** media platforms offer a valuable resource for identifying signs of suicidal *** progress in detecting suicidal ideation on social media,accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant *** tackle this,we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships(TCNN-SN).This model enhances predictive performance by leveraging social network relationship features and applying correction factors within a weighted linear fusion *** is specifically designed to identify key individuals who can help uncover hidden suicidal users and *** model,assessed using the bespoke dataset and benchmarked against alternative classification approaches,demonstrates superior accuracy,F1-score and AUC metrics,achieving 88.57%,88.75%and 94.25%,respectively,outperforming traditional TextCNN models by 12.18%,10.84%and 10.85%.We assert that our methodology offers a significant advancement in the predictive identification of individuals at risk,thereby contributing to the prevention and reduction of suicide incidences.

关键词： Suicide risk prediction social media social network relationships Weibo Tree Hole deep learning

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Multi-modal knowledge graph inference via media convergence and logic rule

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 211-221页

作者： Feng Lin Dongmei Li Wenbin Zhang Dongsheng Shi Yuanzhou Jiao Qianzhong Chen Yiying Lin Wentao Zhu School of Information Science and Technology Beijing Forestry UniversityBeijingChina engineering research center for forestry-oriented Intelligent Information Processing National Forestry and Grassland AdministrationBeijingChina Michigan Technological University HoughtonMichiganUSA

Media convergence works by processing information from different modalities and applying them to different *** is difficult for the conventional knowledge graph to utilise multi-media features because the introduction of a large amount of information from other modalities reduces the effectiveness of representation learning and makes knowledge graph inference less *** address the issue,an inference method based on Media Convergence and Rule-guided Joint Inference model(MCRJI)has been *** authors not only converge multi-media features of entities but also introduce logic rules to improve the accuracy and interpretability of link ***,a multi-headed self-attention approach is used to obtain the attention of different media features of entities during semantic ***,logic rules of different lengths are mined from knowledge graph to learn new entity ***,knowledge graph inference is performed based on representing entities that converge multi-media *** experimental results show that MCRJI outperforms other advanced baselines in using multi-media features and knowledge graph inference,demonstrating that MCRJI provides an excellent approach for knowledge graph inference with converged multi-media features.

关键词： logic rule media convergence multi-modal knowledge graph inference representation learning

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CNN demodulation model with cascade parallel crossing for CPM signals

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The Journal of China Universities of Posts and Telecommunications 2024年第3期31卷 30-42页

作者： Yang Jiachen Duan Ruifeng Li Chengju School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China engineering research center for forestry-Oriented Intelligent Information Processing of national forestry and grassland administration Beijing 100083China

The continuous phase modulation(CPM)technique is widely used in range telemetry due to its high spectral efficiency and power ***,the demodulation performance of the traditional maximum likelihood sequence detection(MLSD)algorithm significantly deteriorates in non-ideal synchronization or fading *** address this issue,this work proposes a convolutional neural network(CNN)called the cascade parallel crossing network(CPCNet)to enhance the robustness of CPM signals *** CPCNet model employs a multiple parallel structure and feature fusion to extract richer features from CPM *** approach constructs feature maps at different levels,resulting in a more comprehensive training of the model and improved demodulation *** results show that under Gaussian channel,the proposed CPCNet achieves the same bit error rate(BER)performance as MLSD method when there is no timing error,but with 1/4 symbol period timing error,the proposed method has 2 dB demodulation gain compared with CNN and convolutional long short-term memory deep neural network(CLDNN).In addition,under Rayleigh channel,the BER of the proposed method is reduced by 5%-87%compared to that of MLSD in the wide signal-to-noise ratio(SNR)region.

关键词： continuous phase modulation(CPM) convolutional neural network(CNN) maximum likelihood sequence detection(MLSD) Rayleigh fading timing error

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Conservation genomics provides insights into genetic resilience and adaptation of the endangered Chinese hazelnut, Corylus chinensis

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Plant Diversity 2024年第3期46卷 294-308页

作者： Zhen Yang Lisong Liang Weibo Xiang Lujun Wang Qinghua Ma Zhaoshan Wang Key Laboratory of Tree Breeding and Cultivation National Forestry and Grassland AdministrationResearch Institute of ForestryChinese Academy of ForestryBeijing 100091China national engineering research center of Eco-Environment Protection for Yangtze River Economic Belt China Three Gorges CorporationBeijing 100083China Rare Plants research Institute of Yangtze River China Three Gorges CorporationYichang 443133China research Institute of Economic forest Cultivation and Processing Anhui Academy of ForestryHefei 230031China

Global climate change has increased concerns regarding biodiversity ***,many key conservation issues still required further research,including demographic history,deleterious mutation load,adaptive evolution,and putative *** we generated the first chromosome-level genome of the endangered Chinese hazelnut,Corylus chinensis,and compared the genomic signatures with its sympatric widespread ***-C yunnanensis *** found large genome rearrangements across all Corylus species and identified species-specific expanded gene families that may be involved in *** genomics revealed that both *** and the *** complex had diverged into two genetic lineages,forming a consistent pattern of southwestern-northern *** size of the narrow southwestern lineages of both species have decreased continuously since the late Miocene,whereas the widespread northern lineages have remained stable(***) or have even recovered from population bottlenecks(*** complex) during the *** with ***-C. yunnanensis complex,*** showed significantly lower genomic diversity and higher inbreeding ***,*** carried significantly fewer deleterious mutations than ***-C. yunnanensis complex,as more effective purging selection reduced the accumulation of homozygous *** also detected signals of positive selection and adaptive introgression in different lineages,which facilitated the accumulation of favorable variants and formation of local ***,both types of selection and exogenous introgression could have mitigated inbreeding and facilitated survival and persistence of ***,our study provides critical insights into lineage differentiation,local adaptation,and the potential for future recovery of endangered trees.

关键词： Conservation genomics Demographic history Inbreeding Genetic load Runs of homozygosity Local adaptation

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Differences in leaf cuticular wax induced by whole-genome duplication in autotetraploid sour jujube

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Horticultural Plant Journal 2024年第1期10卷 66-76页

作者： Meng Li Chenxing Zhang Lu Hou Xinru Liu Hanqing Zhao Xiaoming Pang Wenhao Bo Yingyue Li national engineering research center of Tree Breeding and Ecological Restoration College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijing 100083China Key Laboratory of Genetics and Breeding in forest Trees and Ornamental Plants Ministry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijing 100083China The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of national forestry and grassland administration Beijing Forestry UniversityBeijing 100083China

Drought-resistant plants exhibit strong water retention *** this regard,the autotetraploid sour jujube leaves exhibit better water retention than diploid *** comparisons and physiological comparisons of diploid and autotetraploid leaves showed that the autotetraploid leaves had thicker leaf cuticles and more leaf wax accumulation than the diploid leaves,which could reduce cuticle permeability and improve the drought tolerance of *** this study,the cuticular wax crystalloids on the adaxial and abaxial sides of young and mature jujube leaves were observed in the two ploidy types,and unique cuticular wax crystalloids covering a large area of the cuticle on autotetraploid sour jujube leaves may provide an advantage in reducing leaf non-stomata transpiration and improving plant drought *** on the transcriptome,115 differentially expressed genes between diploids and autotetraploids were further analyzed and found to be involved in the accumulation of cuticular wax components,including terpenoids,fatty acids,and lipids,as well as ABC transporter and wax biosynthetic ***,14 genes differentially expressed between glossy autotetraploid leaves and nonglossy diploid leaves,such as LOC107414787,LOC107411574 and LOC107413721,were screened as candidate genes by qRT-PCR *** findings provided insights into how polyploidization improved drought tolerance.

关键词： Autotetraploid Jujube Drought tolerance Cuticular wax RNA-seq

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Construction of apricot variety search engine based on deep learning

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Horticultural Plant Journal 2024年第2期10卷 387-397页

作者： Chen Chen Lin Wang Huimin Liu Jing Liu Wanyu Xu Mengzhen Huang Ningning Gou Chu Wang Haikun Bai Gengjie Jia Tana Wuyun State Key Laboratory of Tree Genetics and Breeding Research Institute of Non-timber ForestryChinese Academy of ForestryZhengzhouHenan 450003China Shenzhen Branch Guangdong Laboratory of Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdong 518120China Kernel-Apricot engineering and Technology research center of State forestry and grassland administration ZhengzhouHenan 450003China Key Laboratory of Non-timber forest Germplasm Enhancement and Utilization of national forestry and grassland administration ZhengzhouHenan 450003China

Apricot has a long history of cultivation and has many varieties and types. The traditional variety identification methods are timeconsuming and labor-consuming, posing grand challenges to apricot resource management. Tool development in this regard will help researchers quickly identify variety information. This study photographed apricot fruits outdoors and indoors and constructed a dataset that can precisely classify the fruits using a U-net model (F-score:99%), which helps to obtain the fruit's size, shape, and color features. Meanwhile, a variety search engine was constructed, which can search and identify variety from the database according to the above features. Besides, a mobile and web application (ApricotView) was developed, and the construction mode can be also applied to other varieties of fruit ***, we have collected four difficult-to-identify seed datasets and used the VGG16 model for training, with an accuracy of 97%, which provided an important basis for ApricotView. To address the difficulties in data collection bottlenecking apricot phenomics research, we developed the first apricot database platform of its kind (ApricotDIAP, http://***/) to accumulate, manage, and publicize scientific data of apricot.

关键词： Apricot Variety Convolutional neural network Deep learning Database platform Mobile application Image retrieval

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The Combination of Achnatherum inebrians Extracts and Soil Microorganisms Inhibited Seed Germination and Seedling Growth in Elymus nutans

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Phyton-International Journal of Experimental Botany 2024年第3期93卷 567-580页

作者： Rui Zhang Taixiang Chen Zhenjiang Chen Hao Chen Xuekai Wei Malik Kamran Chunjie Li State Key Laboratory of Herbage Improvement and grassland Agro-Ecosystems Key Laboratory of Animal Husbandry InnovationMinistry of Agriculture and Rural AffairsEngineering Research Center of Grassland AgricultureMinistry of EducationWest Gansu Province Prataculture Technology Innovation CenterCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou730020China center for grassland research National Forestry and Grassland AdministrationCaFBeijing100091China

In a greenhouse experiment,the effects of soil microorganisms and extracts of Achnatherum inebrians on the seed germination and seedling growth of Elymus nutans were *** results showed that both the extracts from aboveground and belowground parts of *** signiﬁcantly inhibited the germination rate,germination potential,germination index,vigor index,seedling height,root length,and fresh weight of ***,but increased malondialdehyde content,catalase,peroxidase and superoxide dismutase activity of *** seedlings(p<0.05).The allelopathy of aqueous extracts of the aboveground parts of *** was stronger than that of the *** extracts of the aboveground parts of *** decreased seed germination rate,germination potential,germination index,vigor index,seedling length,root length,and seedling fresh weight by 10.45%-74.63%,24.18%-32.50%,19.03%-73.36%,37.83%-88.41%,21.42%-53.14%,2.65%-40.21%,and 20.45%-61.36%,respectively,and malondialdehyde content,peroxidase,catalase,and superoxide dismutase activity increased by 8.09%-62.24%,27.83%-86.47%,22.90%-93.17%,and 11.15%-75.91%,*** above indexes were higher in live soil than in sterilized *** microorganisms increased the allelopathy of *** seed germination rate,germination potential,germination index,vigor index,seedling length,and seedling fresh weight of *** planted in live soil decreased by 8.22%-48.48%,10.00%-51.85%,8.19%-53.26%,16.43%-60.03%,12.91%-28.81%,and 9.09%-22.86%compared with sterilized soil,*** content,peroxidase,catalase,and superoxide dismutase activity of *** planted in live soil increased by 53.91%-81.06%,15.71%-57.34%,33.33%-86.31%,and 9.78%-52.51%compared with sterilized soil,*** existence of soil microorganisms enhanced the allelopathy of the secondary metabolites of ***.A combination of microorganisms and aqueous extracts from the aboveground parts of *** had the s

关键词： Achnatherum inebrians water immersion liquid aqueous leachate precipitate allelopathy Elymus nutans soil microorganisms

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RoBGP:A Chinese Nested Biomedical Named Entity Recognition Model Based on RoBERTa and Global Pointer

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Computers, Materials & Continua 2024年第3期78卷 3603-3618页

作者： Xiaohui Cui Chao Song Dongmei Li Xiaolong Qu Jiao Long Yu Yang Hanchao Zhang School of Information Science and Technology Beijing Forestry UniversityBeijing100083China engineering research center for forestry-Oriented Intelligent Information Processing of national forestry and grassland administration Beijing100083China Division of Biostatistics Department of Population HealthGrossman School of MedicineNew York UniversityNew York10016USA

Named Entity Recognition(NER)stands as a fundamental task within the field of biomedical text mining,aiming to extract specific types of entities such as genes,proteins,and diseases from complex biomedical texts and categorize them into predefined entity *** process can provide basic support for the automatic construction of knowledge *** contrast to general texts,biomedical texts frequently contain numerous nested entities and local dependencies among these entities,presenting significant challenges to prevailing NER *** address these issues,we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer(RoBGP).Our model initially utilizes the RoBERTa-wwm-ext-large pretrained language model to dynamically generate word-level initial *** then incorporates a Bidirectional Long Short-Term Memory network for capturing bidirectional semantic information,effectively addressing the issue of long-distance ***,the Global Pointer model is employed to comprehensively recognize all nested entities in the *** conduct extensive experiments on the Chinese medical dataset CMeEE and the results demonstrate the superior performance of RoBGP over several baseline *** research confirms the effectiveness of RoBGP in Chinese biomedical NER,providing reliable technical support for biomedical information extraction and knowledge base construction.

关键词： Biomedicine knowledge base named entity recognition pretrained language model global pointer

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