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"068b144f8fba4e5da57da9b121002eb7",
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"id": "_PgPXyP9y-FU",
"outputId": "3a026e5b-96d0-4bca-867d-2c683615fd8c"
},
"source": [
"%pip install transformers\n",
"\n"
],
"execution_count": 4,
"outputs": [
{
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},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "lxxXoKdQ0oiT",
"outputId": "2d2178e7-222e-496e-87be-dca19e603f19"
},
"source": [
"from transformers import AutoTokenizer, AutoModelForSeq2SeqLM\n",
"\n",
"texts = [\"Several studies have reported poor executive function (EF) development in deaf children with subsequent impacts on their social and academic attainment. This paper describes the results of a music-based EF intervention designed for deaf children and carried out in two sets of primary schools. This is the first classroom-based EF training study with deaf children, and it also incorporates a replication phase. The intervention was a within-subject crossover design, with 29 deaf children aged 7-11\\xa0years who participated in both an EF and an art class control activity, each lasting 10\\xa0hours over 5\\xa0weeks. Non-verbal EF skills were assessed at pre-test, the crossover point, and post-test. Findings indicated that the EF intervention led to an improvement in participants' working memory and inhibitory skills in comparison with their performance on the same tasks after the control activity. The findings were not uniform for all EFs targeted nor for all cognitive ability levels in the sample. We discuss the implications of our findings for deaf children with different ability levels and for how EF interventions can be further improved.\",\n",
" 'We developed a non-verbal task assessing updating and manipulation of working memory contents. 80 3- to 7-year-olds (47 girls; predominantly European White) were tested with a 4\\u202f×\\u202f4 grid containing 8 boxes (in the 4 centre cells and 4 outer corners). A sticker was hidden and children searched for it after a delay phase. In the updating trials, the grid was rotated during delays, in the manipulation trials, the grid was both occluded and rotated. Rewards were hidden in either the inner or outer boxes (between-subjects design). Performance was affected by age, rotation degree and hiding condition. Performance was better in outer boxes trials, where visual tracking was easier. Occluded inner trials added a substantial cognitive load (which increased with degree of rotation), resulting in children performing at chance level, suggesting that manipulation involving mental rotation is a distinct skill from tracking invisible object displacement, with a more protracted development.',\n",
" 'We examined the role of different cognitive-linguistic skills in reading and arithmetic fluency, and whether the effects of these skills are mediated by reading and arithmetic accuracy. One hundred twenty-six English-speaking Grade 1 children (67 females, 59 males; = 6.41 years) were followed from the beginning of Grade 1 (Time 1) to the end of Grade 1 (Time 2). At Time 1, they were assessed on measures of non-verbal IQ, speed of processing, working memory, phonological awareness, rapid automatized naming (RAN), and number sense. At Time 2, they were assessed on measures of reading and arithmetic accuracy as well as on measures of reading and arithmetic fluency. Results of path analysis showed first that when reading and arithmetic fluency were included in the model as separate outcomes, RAN was predictive of both and that speed of processing and working memory were predictive of only arithmetic fluency. Second, RAN, speed of processing, and working memory had both direct and indirect effects ( reading and arithmetic accuracy) on the covariation of reading and arithmetic fluency. Irrespective of how reading and arithmetic fluency were treated in the analyses, the effects of non-verbal IQ, phonological awareness, and number sense were all indirect. Taken together, these findings suggest that reading and arithmetic fluency draw on a broader network of cognitive-linguistic skills, whose effects can sometimes be indirect through reading and arithmetic accuracy.',\n",
" 'Gains in cognitive test performance that occur during adolescence are associated with brain maturation. Cortical thinning and reduced sleep slow wave activity (SWA) are markers of such developmental changes. Here we investigate whether they mediate age-related improvements in cognition. 109 adolescents aged 15-19y (49 males) underwent magnetic resonance imaging, polysomnography (PSG) and a battery of cognitive tasks within a 2-month time window. Cognitive tasks assessed non-verbal intelligence, sustained attention, speed of processing and working memory and executive function. To minimize the effect of sleep history on SWA and cognitive performance, PSG and test batteries were administered only after at least 8 nights of 9-h time-in-bed (TIB) sleep opportunity. Age-related improvements in speed of processing (r = 0.33, p = 0.001) and non-verbal intelligence (r = 0.24, p = 0.01) domains were observed. These cognitive changes were associated with reduced cortical thickness, particularly in bilateral temporoparietal regions (rs = -0.21 to -0.45, ps < 0.05), as well as SWA (r = -0.35, p < 0.001). Serial mediation models found that ROIs in the middle/superior temporal cortices, together with SWA mediated the age-related improvement observed on cognition. During adolescence, age-related improvements in cognition are mediated by reductions in cortical thickness and sleep slow wave activity.',\n",
" \"This study examined the association between executive functioning and language in young adults with Down syndrome (DS). Nineteen young adults with DS (aged 19-24\\xa0years) completed standardised measures of overall cognition, vocabulary, verbal fluency and executive function skills. Friedman's analysis of variance (χ (3)\\xa0=\\xa028.15, P\\xa0<\\xa0.001) and post hoc comparisons indicated that, on average, participants had a significantly lower overall non-verbal than verbal cognitive age equivalent and lower expressive than receptive vocabulary skills. Using Spearman correlations, performance on a verbal measure of cognition inhibition was significantly negatively related to receptive vocabulary (ρ\\xa0=\\xa0-.529, adjusted P\\xa0=\\xa0.036) and verbal fluency (ρ\\xa0=\\xa0-.608, adjusted P\\xa0=\\xa0.022). Attention was significantly positively correlated with receptive (ρ\\xa0=\\xa0.698, adjusted-p\\xa0=\\xa0.005) and expressive (ρ\\xa0=\\xa0.542, adjusted P\\xa0=\\xa0.027) vocabulary. Verbal working memory was significantly positively associated with receptive vocabulary (ρ\\xa0=\\xa0.585, adjusted P\\xa0=\\xa0.022) and verbal fluency (ρ\\xa0=\\xa0.737, adjusted P\\xa0=\\xa0.003). Finally, visuospatial working memory was significantly associated with receptive vocabulary (ρ\\xa0=\\xa0.562, adjusted P\\xa0=\\xa0.027). Verbal and non-verbal measures of executive functioning skills had important associations with language ability in young adults with DS. Future translational research is needed to investigate causal pathways underlying these relationships. Research should explore if interventions aimed at increasing executive functioning skills (e.g. attention, inhibition and working memory) have the potential to lead to increases in language for young adults with DS.\"]\n",
"\n",
" \n",
"tokenizer = AutoTokenizer.from_pretrained(\"google/pegasus-xsum\")\n",
"model = AutoModelForSeq2SeqLM.from_pretrained(\"google/pegasus-xsum\")\n",
"\n",
"def summarize_cluster(documents):\n",
" text = '.'.join(documents)\n",
" tokens = tokenizer(text, truncation=True, padding=\"longest\", return_tensors=\"pt\")\n",
" summary_tokens = model.generate(**tokens)\n",
" print(summary_tokens.shape)\n",
" summary_text = tokenizer.decode(summary_tokens[0])\n",
" return summary_text\n",
"\n",
"summarize_cluster(texts)"
],
"execution_count": 35,
"outputs": [
{
"output_type": "execute_result",
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
},
"text/plain": [
"'<pad> The effect of executive function training on working memory and inhibitory skills in deaf children is investigated.</s>'"
]
},
"metadata": {},
"execution_count": 35
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 157
},
"id": "n9azVrQY0azm",
"outputId": "ab26e81a-0e87-4eba-aa6e-ca12364df7c8"
},
"source": [
"# using bert-extractive-summarizer package\n",
"\n",
"%pip install bert-extractive-summarizer -q\n",
"\n",
"from summarizer import Summarizer\n",
"\n",
"bert_summarizer_model = Summarizer()\n",
"result = bert_summarizer_model('. '.join(texts), num_sentences=1)\n",
"result"
],
"execution_count": 32,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"Some weights of the model checkpoint at bert-large-uncased were not used when initializing BertModel: ['cls.predictions.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.weight']\n",
"- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
"- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
]
},
{
"output_type": "execute_result",
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
},
"text/plain": [
"'Several studies have reported poor executive function (EF) development in deaf children with subsequent impacts on their social and academic attainment. Occluded inner trials added a substantial cognitive load (which increased with degree of rotation), resulting in children performing at chance level, suggesting that manipulation involving mental rotation is a distinct skill from tracking invisible object displacement, with a more protracted development.. We examined the role of different cognitive-linguistic skills in reading and arithmetic fluency, and whether the effects of these skills are mediated by reading and arithmetic accuracy.'"
]
},
"metadata": {},
"execution_count": 32
}
]
}
]
}
