Journal of memory and language最新文献_第2页

Word learning in children with developmental language disorder: A meta-analysis testing the encoding hypothesis 发展性语言障碍儿童的单词学习：一项检验编码假说的元分析

IF 3 1区心理学

Journal of memory and language Pub Date : 2025-08-06 DOI: 10.1016/j.jml.2025.104678

Paola Calabrese, Nicholas Hedger, Katherine Pritchard, Vesna Stojanovik, Emma Pagnamenta

{"title":"Word learning in children with developmental language disorder: A meta-analysis testing the encoding hypothesis","authors":"Paola Calabrese, Nicholas Hedger, Katherine Pritchard, Vesna Stojanovik, Emma Pagnamenta","doi":"10.1016/j.jml.2025.104678","DOIUrl":"10.1016/j.jml.2025.104678","url":null,"abstract":"<div><div>Many children with Developmental Language Disorder (DLD) find learning new words difficult, which negatively affects their educational and psycho-social outcomes. Word learning involves encoding, consolidation and reconsolidation of words, but the most challenging phase and factors which moderate word learning remain unclear.</div><div>We conducted a systematic review and meta-analysis to determine which phase is most challenging and which factors predict oral word learning success in children with DLD. The search including PsycINFO, PubMed, Web of Science, and LLBA identified forty-six studies published before April 2024 comparing children with DLD and typically developing (TD) age-matched peers in word learning tasks. Seventy-eight effect sizes were calculated for encoding (n DLD = 1462, n TD = 2161), eight for consolidation (n DLD = 107, n TD = 112), and 19 for reconsolidation (n DLD = 296, n TD = 278).</div><div>The random effect model identified an effect for encoding (k = 78, d = 0.82, [0.66, 0.98], p < .001) but not consolidation (k = 8, d = −0.2, [−0.68, 0.29], p = .43) or reconsolidation (k = 19, d = 0.23, [−0.14, 0.59], p = .22) of new words. The moderator analysis via random effects models identified verbal short-term memory and lexical knowledge as significant moderators of encoding, while word length was the most important task characteristic.</div><div>Despite limited data for consolidation and reconsolidation, our findings provide new insights into oral word learning difficulties in children with DLD. These insights help clinicians and teachers identify support strategies while also highlighting gaps in existing research, driving future studies forward.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"145 ","pages":"Article 104678"},"PeriodicalIF":3.0,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Speakers encode silent structures: Evidence from complementizer priming in English 说话者编码沉默结构：来自英语补语启动的证据

IF 3 1区心理学

Journal of memory and language Pub Date : 2025-08-03 DOI: 10.1016/j.jml.2025.104671

Shota Momma , Norvin Richards , Victor S. Ferreira

{"title":"Speakers encode silent structures: Evidence from complementizer priming in English","authors":"Shota Momma , Norvin Richards , Victor S. Ferreira","doi":"10.1016/j.jml.2025.104671","DOIUrl":"10.1016/j.jml.2025.104671","url":null,"abstract":"<div><div>Do speakers encode abstract structural representations devoid of perceptual-motor content, that is, phonology? In six recall-based production experiments, we examined whether English speakers encode the null complementizer in sentence production using <em>structural priming</em>, the tendency for speakers to reuse the structure they have recently encountered. The results show that the null complementizer can be primed across distinct construction types and that this priming effect cannot be explained as the priming of the absence of the overt complementizer. These results are difficult to capture in semantic, pragmatic, or phonological terms. Furthermore, we evaluated two varieties of neural network language models (based on transformers and long short term memory) for their capacity to reproduce human priming patterns. Although they could reproduce basic priming effects, neural network language models were simultaneously more sensitive to constructional differences and less sensitive to abstract similarities across constructions than humans. This suggests that distributional cues alone are likely not sufficient for learning the generalization governing the distribution of English complementizers. Based on these results, we argue that the structural representations speakers construct during production go beyond what they hear and say.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"145 ","pages":"Article 104671"},"PeriodicalIF":3.0,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LLMs as models for analogical reasoning 法学硕士作为类比推理的模型

IF 3 1区心理学

Journal of memory and language Pub Date : 2025-07-31 DOI: 10.1016/j.jml.2025.104676

Sam Musker , Alex Duchnowski , Raphaël Millière , Ellie Pavlick

{"title":"LLMs as models for analogical reasoning","authors":"Sam Musker , Alex Duchnowski , Raphaël Millière , Ellie Pavlick","doi":"10.1016/j.jml.2025.104676","DOIUrl":"10.1016/j.jml.2025.104676","url":null,"abstract":"<div><div>Analogical reasoning — the capacity to identify and map structural relationships between different domains — is fundamental to human cognition and learning. Recent studies have shown that large language models (LLMs) can sometimes match humans in analogical reasoning tasks, opening the possibility that analogical reasoning might emerge from domain-general processes. However, it is still debated whether these emergent capacities are largely superficial and limited to simple relations seen during training or whether they encompass the flexible representational and mapping capabilities which are the focus of leading cognitive models of analogy. In this study, we introduce novel analogical reasoning tasks that require participants to map between semantically contentful words and sequences of letters and other abstract characters. This task necessitates the ability to flexibly <em>re-represent</em> rich semantic information—an ability which is known to be central to human analogy but which is thus far not well-captured by existing cognitive theories and models. We assess the performance of both human participants and LLMs on tasks focusing on reasoning from semantic structure and semantic content, introducing variations that test the robustness of their analogical inferences. Advanced LLMs match human performance across several conditions, though humans and LLMs respond differently to certain task variations and semantic distractors. Our results thus provide new evidence that LLMs might offer a <em>how-possibly</em> explanation of human analogical reasoning in contexts that are not yet well modeled by existing theories, but that even today’s best models are unlikely to yield <em>how-actually</em> explanations.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"145 ","pages":"Article 104676"},"PeriodicalIF":3.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144749191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Memory for prediction: A Transformer-based theory of sentence processing 预测记忆：基于变换的句子处理理论

IF 2.9 1区心理学

Journal of memory and language Pub Date : 2025-07-25 DOI: 10.1016/j.jml.2025.104670

Soo Hyun Ryu , Richard L. Lewis

{"title":"Memory for prediction: A Transformer-based theory of sentence processing","authors":"Soo Hyun Ryu , Richard L. Lewis","doi":"10.1016/j.jml.2025.104670","DOIUrl":"10.1016/j.jml.2025.104670","url":null,"abstract":"<div><div>We demonstrate that Transformer-based neural network language models provide a new foundation for mechanistic theories of sentence processing that seamlessly integrate expectation-based and memory-based accounts. First, we show that the attention mechanism in GPT2-small operates as a kind of cue-based retrieval architecture that is subject to similarity-based interference. Second, we show that it provides accounts of classic memory effects in parsing, including contrasts involving relative clauses and center-embedding. Third, we show that a simple word-by-word entropy metric computed over the internal attention patterns provides an index of memory interference that explains variance in eye-tracking and self-paced reading time measures (independent of surprisal and other predictors) in two natural story reading time corpora. Because the cues and representations are learned, there is no need for the theorist to postulate representational features and cues. Transformers provide practical modeling tools for exploring the effects of memory and experience, given the increasing availability of both pre-trained models and software for training new models, and the ease with which surprisal and attention entropy metrics may be computed.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"145 ","pages":"Article 104670"},"PeriodicalIF":2.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models 用视觉基础语法归纳模型重构语言自举作为联合推理

IF 2.9 1区心理学

Journal of memory and language Pub Date : 2025-07-24 DOI: 10.1016/j.jml.2025.104672

Eva Portelance , Siva Reddy , Timothy J. O’Donnell

{"title":"Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models","authors":"Eva Portelance , Siva Reddy , Timothy J. O’Donnell","doi":"10.1016/j.jml.2025.104672","DOIUrl":"10.1016/j.jml.2025.104672","url":null,"abstract":"<div><div>Semantic and syntactic bootstrapping posit that children use their prior knowledge of one linguistic domain, say syntactic relations, to help later acquire another, such as the meanings of new words. Empirical results supporting both theories may tempt us to believe that these are different independent learning strategies. Here, we argue for a unified approach, where instead they are both contingent on a more general learning strategy for language acquisition: joint learning. Using a series of neural visually-grounded grammar induction models, we demonstrate that both syntactic and semantic bootstrapping effects are strongest when syntax and semantics are learnt simultaneously via joint learning. This more general learning strategy results in better grammar induction, realistic lexical category learning, and better interpretations of novel sentence and verb meanings. Joint learning makes language acquisition <em>easier</em> for learners by mutually constraining the hypotheses spaces for both syntax and semantics. Studying the dynamics of joint inference over many input sources and modalities represents an important new direction for language modeling and learning research in both cognitive sciences and AI, as it may help us explain how language can be acquired in more constrained learning settings.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"145 ","pages":"Article 104672"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Type and token frequency jointly drive learning of morphology 词型和词频共同驱动词法学习

IF 3 1区心理学

Journal of memory and language Pub Date : 2025-07-22 DOI: 10.1016/j.jml.2025.104666

Gaja Jarosz , Cerys Hughes , Andrew Lamont , Brandon Prickett , Maggie Baird , Seoyoung Kim , Max Nelson

{"title":"Type and token frequency jointly drive learning of morphology","authors":"Gaja Jarosz , Cerys Hughes , Andrew Lamont , Brandon Prickett , Maggie Baird , Seoyoung Kim , Max Nelson","doi":"10.1016/j.jml.2025.104666","DOIUrl":"10.1016/j.jml.2025.104666","url":null,"abstract":"<div><div>We examine the joint roles of type frequency and token frequency in three artificial language learning experiments involving lexicalized plural allomorphy. The primary role of type frequency in productivity is well-established, but debates about the precise relationship between type frequency and productivity continue. The effect of token frequency on productivity is even more controversial: some lines of research suggest token frequency and productivity are inversely related, other results indicate they are positively related, and yet others argue token frequency plays no role in productivity. We address both of these questions. Our learning framework makes it possible to examine the effects of these variables on generalization to novel forms and to examine how sensitivity to these factors affects the time-course of learning. The first two experiments differentiate predictions for generalization of three distinct hypotheses about the role of type frequency, while the third experiment investigates the independent role of token frequency. We find that both type and token frequency independently and positively contribute to learning rates and generalization across the three experiments. We also apply two computational learning theories – implementing two prominent theoretical linguistic frameworks – to the learning of the lexically-conditioned allomorphy patterns in our experiments. Despite their differences, we show that the incremental learning dynamics of both models correctly predict the general trends in generalization rates, learning curves, and the influence of token frequency observed across the experimental conditions.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"144 ","pages":"Article 104666"},"PeriodicalIF":3.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning filler-gap dependencies with neural language models: Testing island sensitivity in Norwegian and English 用神经语言模型学习填空依赖性：测试挪威语和英语的岛屿敏感性

IF 2.9 1区心理学

Journal of memory and language Pub Date : 2025-07-20 DOI: 10.1016/j.jml.2025.104663

Anastasia Kobzeva , Suhas Arehalli , Tal Linzen , Dave Kush

{"title":"Learning filler-gap dependencies with neural language models: Testing island sensitivity in Norwegian and English","authors":"Anastasia Kobzeva , Suhas Arehalli , Tal Linzen , Dave Kush","doi":"10.1016/j.jml.2025.104663","DOIUrl":"10.1016/j.jml.2025.104663","url":null,"abstract":"<div><div>Human linguistic input is often claimed to be impoverished with respect to linguistic evidence for complex structural generalizations that children induce. The field of language acquisition is currently debating the ability of various learning algorithms to accurately derive target generalizations from the input. A growing body of research explores whether Neural Language Models (NLMs) can induce human-like generalizations about filler-gap dependencies (FGDs) in English, including island constraints on their distribution. Based on positive results for select test cases, some authors have argued that the relevant generalizations can be learned without domain-specific learning biases (Wilcox et al., 2023), though other researchers dispute this conclusion ((Lan et al., 2024b; Howitt et al.,2024). Previous work focuses solely on English, but broader claims about filler-gap dependency learnability can only be made based on multiple languages and dependency types. To address this gap, we compare the ability of NLMs to learn restrictions on FGDs in English and Norwegian. Our results are mixed: they show that although these models acquire some sophisticated generalizations about filler-gap dependencies in the two languages, their generalizations still diverge from those of humans. When tested on structurally complex environments, the models sometimes adopt narrower generalizations than humans do or overgeneralize beyond their input in non-human-like ways. We conclude that current evidence does not support the claim that FGDs and island constraints on them can be learned without domain-specific biases.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"144 ","pages":"Article 104663"},"PeriodicalIF":2.9,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the animacy effect in focal prospective memory tasks: When animates don’t stand out 探究焦点前瞻记忆任务中的动画效果：当动画不突出时

IF 2.9 1区心理学

Journal of memory and language Pub Date : 2025-07-18 DOI: 10.1016/j.jml.2025.104673

Sara B. Félix , Marie Poirier , Josefa N.S. Pandeirada

{"title":"Exploring the animacy effect in focal prospective memory tasks: When animates don’t stand out","authors":"Sara B. Félix , Marie Poirier , Josefa N.S. Pandeirada","doi":"10.1016/j.jml.2025.104673","DOIUrl":"10.1016/j.jml.2025.104673","url":null,"abstract":"<div><div>The animacy effect refers to a memory advantage for animates/living beings as compared to inanimates/nonliving things. So far, the animacy effect has been investigated mostly in retrospective memory. Given that memory serves a future-oriented function, and considering the adaptive significance of animacy, it has been proposed that it should also confer an advantage in prospective memory (i.e., memory for intentions/actions to-be-performed in the future). Recent research reported an animacy effect in nonfocal event-based prospective memory tasks. The present work explored this effect in focal prospective memory. In a series of five studies, conducted in different countries and languages, we employed various ongoing tasks. Across all studies, no differences in prospective memory performance between animates and inanimates were found. This result held in a sign-test including all participants (<em>N</em> = 408 young adults) for a more powered analysis. Also, no differences between animates and inanimates were obtained in the baseline and filler trials. These results are discussed considering the mechanisms that have been proposed to explain the effect in retrospective memory tasks, namely attention-prioritization and richness of encoding. Overall, our results are partially explained by the attention-prioritization account of the animacy effect and also provide support for the Multiprocess Framework.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"144 ","pages":"Article 104673"},"PeriodicalIF":2.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The development of the adaptive use of different forms of rehearsal in verbal serial recall tasks. A multi-method study 不同形式的排练在言语序列回忆任务中的适应性运用。多方法研究

IF 2.9 1区心理学

Journal of memory and language Pub Date : 2025-07-17 DOI: 10.1016/j.jml.2025.104674

Sebastian Poloczek , Christopher Jarrold

{"title":"The development of the adaptive use of different forms of rehearsal in verbal serial recall tasks. A multi-method study","authors":"Sebastian Poloczek , Christopher Jarrold","doi":"10.1016/j.jml.2025.104674","DOIUrl":"10.1016/j.jml.2025.104674","url":null,"abstract":"<div><div>Verbal rehearsal is a key feature of certain working memory models that have previously assumed that children develop adult-like rehearsal around the age of 7. However, a broader literature indicates that younger children are capable of rehearsal. The present study, consisting of two experiments with 191 primary school children in total, combined methods that are rarely used to study rehearsal in serial recall. Self-paced presentation times were obtained as a behavioural indicator of strategy use. On half of trials, children additionally reported their strategies via think-aloud (Expt. 1) or immediate trial-by trial self-reports (Expt. 1 & 2). Results from the three methods employed in Experiment 1 with 10- to 11-year-olds converged on the conclusion that multiple strategies were used across trials. Listening, single rehearsal, and cumulative rehearsal were common strategies that were validly reported with no or only small effects of reactivity of strategy reporting. Experiment 2 revealed that between the ages of 6 to 11 years children employed a range of strategies across trials. Listening without rehearsal was common and cumulative rehearsal rare among the younger children, but cumulative rehearsal and strategy adaptivity to list length gradually increased with age. Importantly, self-reports were corroborated by self-presentation times even in younger children. We conclude that rehearsal development does not follow a stage-like progression. Rather, the data support an overlapping waves model as several strategies coexist, the likelihood of using a strategy changes gradually, and adaptivity of strategy choices still improves among older children.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"144 ","pages":"Article 104674"},"PeriodicalIF":2.9,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.9 1区心理学

Journal of memory and language Pub Date : 2025-07-16 DOI: 10.1016/j.jml.2025.104669

Hailin Hao , Zuzanna Fuchs , Shravan Vasishth

{"title":"Similarity-based interference in the processing of classifier-noun dependencies in Mandarin Chinese","authors":"Hailin Hao , Zuzanna Fuchs , Shravan Vasishth","doi":"10.1016/j.jml.2025.104669","DOIUrl":"10.1016/j.jml.2025.104669","url":null,"abstract":"<div><div>During the processing of linguistic dependencies, the presence of a non-dependent word—referred to as a distractor—can sometimes complicate the identification of the correct subject. This phenomenon, known as similarity-based interference, provides a valuable testing ground for competing theories of sentence processing and has garnered significant interest in the field of psycholinguistics. One prominent theory, cue-based retrieval, suggests that the parser initiates a search for the relevant linguistic dependent at the retrieval site (e.g., the verb) based on a set of retrieval cues. In this work, we explore the use of lexicon-specific cues set by classifiers in the retrieval of noun dependents in Mandarin Chinese to provide evidence for the cue-based retrieval mechanism. A further open question is whether the distractor must intervene between the co-dependents (so-called retroactive interference) or whether the distractor can appear to the left of the dependent elements (so-called proactive interference). Previous work has suggested that proactive interference is weaker than retroactive interference, i.e., that the distractor has to intervene between the co-dependents to influence the dependency completion process. Using self-paced reading and A-Maze tasks, and Bayes Factors for hypothesis testing, we found robust evidence for a predicted interference effect in retroactive configurations, but no interference in proactive configurations. We discuss the theoretical implications of the current work for theories of retrieval and sentence processing in general.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"144 ","pages":"Article 104669"},"PeriodicalIF":2.9,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0