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91.
BackgroundTouch screen devices are now ubiquitous, and their usage by young children is increasing. However, the effects of these devices on young children are still unknown. Therefore, this study aimed to address the associations of touch screen device exposure with symptomatic emotional and behavioral problems and language development in children between the ages of 18 and 36 months.MethodA total of 161 primary caregivers of children between the ages of 18 and 36 months were recruited from the pediatric ward and outpatient clinic at a medical center in southern Taiwan. All caregivers were asked to fill out the Child Behavior Checklist for Ages 1½–5 (CBCL 1½–5) and a questionnaire on basic personal information and touch screen device usage, and they were also interviewed with the Communication and Language Screening Test for Birth to Three Chinese-Speaking Infant-Toddlers (CLST). Independent t-test and one-way ANOVA were used to examine the differences among the categories in the demographic variables and to characterize the touch screen device usage behaviors. Pearson’s correlation was used to analyze the relationship between language delay and the extent of touch screen device exposure. After primary univariate analysis, we used multiple regression models to examine the relationships among the effects of touch screen device usage behaviors on children's emotional and behavioral problems and language development.ResultThe children’s mean age was 25.63 months (SD = 5.35). Children who spent more time on touch screen devices were more likely to have emotional problems (β = .219, p < .010, 95 % CI: .279–1.518), anxious/depressive symptoms (β = .206, p < .050, 95 % CI: .170–1.244), somatic complaints (β = .291, p < .001, 95% CI: .455–1.462), social withdrawal symptoms (β = .194, p < .050, 95 % CI: 0.133–1.150), attention problems (β = .300, p < .001, 95 % CI: .432–1.267), and aggressive behaviors (β = .247, p < .010, 95 % CI: .967–3.983). The effects were not noted on language development (β = −.136, p < .100, 95 % CI: −2.595–.147).ConclusionYoung children who spent more time on touch screen devices were more likely to have emotional problems, anxious/depressive symptoms, somatic complaints, social withdrawal symptoms, attention problems, and aggressive behaviors, but not language delay. 相似文献
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This study was the first to longitudinally explore the extent to which early temperament and sensory processing were of predictive value for cognitive development and Autism Spectrum Disorder (ASD) symptomatology in a sample of preterm children (N = 50, 22 girls, mean gestational age 27 weeks). At the corrected ages of 10, 18, and 24 months, sensory processing and temperament were assessed, as were cognitive development and ASD symptoms at 36 months. Better cognitive development was predicted by fewer hospitalisation days at birth and by lower Activity Level at 18 months. Temperamental subscales of Negative Affect showed associations with both parent-reported and observational measures of ASD symptomatology, whereas sensory processing only had predictive value for parent-reported symptoms of ASD. The usefulness of temperament and sensory processing for prediction of ASD symptom severity and cognitive outcomes became clear in the second year of life. The results indicate that this area of research is worth additional investigation in the extreme and very preterm population, to explore in further detail whether these two concepts might be able to provide information about which preterms are more likely to develop ASD or cognitive impairments. 相似文献
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Maximilian Seitz Jan Lenhart Nina Rübsam 《The British journal of developmental psychology》2020,38(3):363-390
Social-cognitive theory posits that children learn gender stereotypes through gendered information. The present study examined whether children learn new gender stereotypes from stories when unknown words are linked to a gendered protagonist or context information. In Experiment 1, 40 3- to 6-year-old preschoolers were read stories with either a gendered protagonist embedded within a non-gendered context, or a non-gendered protagonist embedded within a gendered context. In Experiment 2, the same sample of children were read stories with the protagonist and the context displaying congruent or incongruent gender information. Each story featured an unknown activity linked with the stereotypical content. Both experiments indicate that the children rated the activity according to both the gender of the context and of the protagonist; however, the effect of the latter was stronger. In addition, children showed higher interest in the unknown activity if the protagonist’s gender matched their own sex. Thus, gender information in stories influences how children perceive unknown words. 相似文献
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Much previous work has suggested that word order preferences across languages can be explained by the dependency distance minimization constraint (Ferrer-i Cancho, 2008, 2015; Hawkins, 1994). Consistent with this claim, corpus studies have shown that the average distance between a head (e.g., verb) and its dependent (e.g., noun) tends to be short cross-linguistically (Ferrer-i Cancho, 2014; Futrell, Mahowald, & Gibson, 2015; Liu, Xu, & Liang, 2017). This implies that on average languages avoid inefficient or complex structures for simpler structures. But a number of studies in psycholinguistics (Konieczny, 2000; Levy & Keller, 2013; Vasishth, Suckow, Lewis, & Kern, 2010) show that the comprehension system can adapt to the typological properties of a language, for example, verb-final order, leading to more complex structures, for example, having longer linear distance between a head and its dependent. In this paper, we conduct a corpus study for a group of 38 languages, which were either Subject–Verb–Object (SVO) or Subject–Object–Verb (SOV), in order to investigate the role of word order typology in determining syntactic complexity. We present results aggregated across all dependency types, as well as for specific verbal (objects, indirect objects, and adjuncts) and nonverbal (nominal, adjectival, and adverbial) dependencies. The results suggest that dependency distance in a language is determined by the default word order of a language, and crucially, the direction of a dependency (whether the head precedes the dependent or follows it; e.g., whether the noun precedes the verb or follows it). Particularly we show that in SOV languages (e.g., Hindi, Korean) as well as SVO languages (e.g., English, Spanish), longer linear distance (measured as number of words) between head and dependent arises in structures when they mirror the default word order of the language. In addition to showing results on linear distance, we also investigate the influence of word order typology on hierarchical distance (HD; measured as number of heads between head and dependent). The results for HD are similar to that of linear distance. At the same time, in comparison to linear distance, the influence of adaptability on HD seems less strong. In particular, the results show that most languages tend to avoid greater structural depth. Together, these results show evidence for “limited adaptability” to the default word order preferences in a language. Our results support a large body of work in the processing literature that highlights the importance of linguistic exposure and its interaction with working memory constraints in determining sentence complexity. Our results also point to the possible role of other factors such as the morphological richness of a language and a multifactor account of sentence complexity remains a promising area for future investigation. 相似文献
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We trained a computational model (the Chunk-Based Learner; CBL) on a longitudinal corpus of child–caregiver interactions in English to test whether one proposed statistical learning mechanism—backward transitional probability—is able to predict children's speech productions with stable accuracy throughout the first few years of development. We predicted that the model less accurately reconstructs children's speech productions as they grow older because children gradually begin to generate speech using abstracted forms rather than specific “chunks” from their speech environment. To test this idea, we trained the model on both recently encountered and cumulative speech input from a longitudinal child language corpus. We then assessed whether the model could accurately reconstruct children's speech. Controlling for utterance length and the presence of duplicate chunks, we found no evidence that the CBL becomes less accurate in its ability to reconstruct children's speech with age. 相似文献