Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Cognition and Perception
Title: Do Animals Engage Greater Social Attention in Autism? An Eye Tracking Analysis
Abstract: Background Visual atypicalities in autism spectrum disorder (ASD) are a well documented phenomenon, beginning as early as 2–6 months of age and manifesting in a significantly decreased attention to the eyes, direct gaze and socially salient information. Early emerging neurobiological deficits in perceiving social stimuli as rewarding or its active avoidance due to the anxiety it entails have been widely purported as potential reasons for this atypicality. Parallel research evidence also points to the significant benefits of animal presence for reducing social anxiety and enhancing social interaction in children with autism. While atypicality in social attention in ASD has been widely substantiated, whether this atypicality persists equally across species types or is confined to humans has not been a key focus of research insofar. Methods We attempted a comprehensive examination of the differences in visual attention to static images of human and animal faces (40 images; 20 human faces and 20 animal faces) among children with ASD using an eye tracking paradigm. 44 children (ASD n = 21; TD n = 23) participated in the study (10,362 valid observations) across five regions of interest (left eye, right eye, eye region, face and screen). Results Results obtained revealed significantly greater social attention across human and animal stimuli in typical controls when compared to children with ASD. However in children with ASD, a significantly greater attention allocation was seen to animal faces and eye region and lesser attention to the animal mouth when compared to human faces, indicative of a clear attentional preference to socially salient regions of animal stimuli. The positive attentional bias toward animals was also seen in terms of a significantly greater visual attention to direct gaze in animal images. Conclusion Our results suggest the possibility that atypicalities in social attention in ASD may not be uniform across species. It adds to the current neural and biomarker evidence base of the potentially greater social reward processing and lesser social anxiety underlying animal stimuli as compared to human stimuli in children with ASD.
Extracted statement — Data: Visual atypicalities
Research field: Communication Neuroscience
Title: Brain connectivity dynamics during social interaction reflect social network structure
Abstract: <jats:title>Abstract</jats:title><jats:p>Social ties are crucial for humans. Disruption of ties through social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader social network resources. Here, we use functional magnetic resonance imaging data acquired from 80 male adolescents to investigate how social exclusion modulates functional connectivity within and across brain networks involved in social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship network data, we examine how individual variability in brain reactivity to social exclusion relates to the density of participants’ friendship networks, an important aspect of social network structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how social network characteristics are associated with task-based connectivity dynamics, participants who showed greater changes in connectivity within the mentalizing system when socially excluded by peers had less dense friendship networks. This work provides novel insight to understand how distributed brain systems respond to social and emotional challenges, and how such brain dynamics might vary based on broader social network characteristics.</jats:p>
Extracted statement — Has approach: functional connectivity
Research field: Communication Neuroscience
Title: Engaged listeners: shared neural processing of powerful political speeches
Abstract: Powerful speeches can captivate audiences, whereas weaker speeches fail to engage their listeners. What is happening in the brains of a captivated audience? Here, we assess audience-wide functional brain dynamics during listening to speeches of varying rhetorical quality. The speeches were given by German politicians and evaluated as rhetorically powerful or weak. Listening to each of the speeches induced similar neural response time courses, as measured by inter-subject correlation analysis, in widespread brain regions involved in spoken language processing. Crucially, alignment of the time course across listeners was stronger for rhetorically powerful speeches, especially for bilateral regions of the superior temporal gyri and medial prefrontal cortex. Thus, during powerful speeches, listeners as a group are more coupled to each other, suggesting that powerful speeches are more potent in taking control of the listeners' brain responses. Weaker speeches were processed more heterogeneously, although they still prompted substantially correlated responses. These patterns of coupled neural responses bear resemblance to metaphors of resonance, which are often invoked in discussions of speech impact, and contribute to the literature on auditory attention under natural circumstances. Overall, this approach opens up possibilities for research on the neural mechanisms mediating the reception of entertaining or persuasive messages.
Extracted statement — Has approach: inter-subject correlation analysis
Research field: Communication Neuroscience
Title: Increased attention but more efficient disengagement: Neuroscientific evidence for defensive processing of threatening health information.
Abstract: OBJECTIVE Previous studies indicate that people respond defensively to threatening health information, especially when the information challenges self-relevant goals. The authors investigated whether reduced acceptance of self-relevant health risk information is already visible in early attention processes, that is, attention disengagement processes. DESIGN In a randomized, controlled trial with 29 smoking and nonsmoking students, a variant of Posner's cueing task was used in combination with the high-temporal resolution method of event-related brain potentials (ERPs). MAIN OUTCOME MEASURES Reaction times and P300 ERP. RESULTS Smokers showed lower P300 amplitudes in response to high- as opposed to low-threat invalid trials when moving their attention to a target in the opposite visual field, indicating more efficient attention disengagement processes. Furthermore, both smokers and nonsmokers showed increased P300 amplitudes in response to the presentation of high- as opposed to low-threat valid trials, indicating threat-induced attention-capturing processes. Reaction time measures did not support the ERP data, indicating that the ERP measure can be extremely informative to measure low-level attention biases in health communication. CONCLUSION The findings provide the first neuroscientific support for the hypothesis that threatening health information causes more efficient disengagement among those for whom the health threat is self-relevant.
Extracted statement — has_analysis_approach: P300 amplitude
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — problem: emotional impact on underserved audiences
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Material: feelings and emotions
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Method: focus group
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Method: focus groups
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Material: not reached groups
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Material: reached groups
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Material: three different underserved audiences
Research field: Communication Sciences
Title: Feeling Left Out: Underserved Audiences in Science Communication
Abstract: Science communication only reaches certain segments of society. Various underserved audiences are detached from it and feel left out, which is a challenge for democratic societies that build on informed participation in deliberative processes. While only recently researchers and practitioners have addressed the question on the detailed composition of the not reached groups, even less is known about the emotional impact on underserved audiences: feelings and emotions can play an important role in how science communication is received, and “feeling left out” can be an important aspect of exclusion. In this exploratory study, we provide insights from interviews and focus groups with three different underserved audiences in Germany. We found that on the one hand, material exclusion factors such as available infrastructure or financial means as well as specifically attributable factors such as language skills, are influencing the audience composition of science communication. On the other hand, emotional exclusion factors such as fear, habitual distance, and self- as well as outside-perception also play an important role. Therefore, simply addressing material aspects can only be part of establishing more inclusive science communication practices. Rather, being aware of emotions and feelings can serve as a point of leverage for science communication in reaching out to underserved audiences.
Extracted statement — Material: underserved audiences
Research field: Computational Engineering
Title: Learning to Generate Wikipedia Summaries for Underserved Languages
            from Wikidata
Abstract: While Wikipedia exists in 287 languages, its content is unevenly distributed among them. In this work, we investigate the generation of open domain Wikipedia summaries in underserved languages using structured data from Wikidata. To this end, we propose a neural network architecture equipped with copy actions that learns to generate single-sentence and comprehensible textual summaries from Wikidata triples. We demonstrate the effectiveness of the proposed approach by evaluating it against a set of baselines on two languages of different natures: Arabic, a morphological rich language with a larger vocabulary than English, and Esperanto, a constructed language known for its easy acquisition.
Extracted statement — Material: a neural network architecture
Research field: Computational Engineering
Title: Predicting Infections Using Computational Intelligence – A Systematic Review
Abstract: Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care to minimize the damage produced by the disease, or to isolate them to avoid the risk of spread. In this context, computational intelligence can be useful to predict the risk of infection in patients, raising early alarms that can aid medical teams to respond as quick as possible. In this paper, we survey the state of the art on infection prediction using computer science by means of a systematic literature review. The objective is to find papers where computational intelligence is used to predict infections in patients using physiological data as features. We have posed one major research question along with nine specific subquestions. The whole review process is thoroughly described, and eight databases are considered which index most of the literature published in different scholarly formats. A total of 101 relevant documents have been found in the period comprised between 2003 and 2019, and a detailed study of these documents is carried out to classify the works and answer the research questions posed, resulting to our best knowledge in the most comprehensive study of its kind. We conclude that the most widely addressed infection is by far sepsis, followed by Clostridium difficile infection and surgical site infections. Most works use machine learning techniques, from which logistic regression, support vector machines, random forest and naive Bayes are the most common. Some machine learning works provide some ideas on the problems of small data and class imbalance, which can be of interest. The current systematic literature review shows that automatic diagnosis of infectious diseases using computational intelligence is well documented in the medical literature.
Extracted statement — Has result: Machine Learning