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  1. Book ; Online: Knowledge Modelling and Learning through Cognitive Networks

    Stella, Massimo / Kenett, Yoed N.

    2022  

    Keywords Information technology industries ; text mining ; big data ; analytics ; review ; self-organization ; computational philosophy ; brain ; synaptic learning ; adaptation ; functional plasticity ; activity-dependent resonance states ; circular causality ; somatosensory representation ; prehensile synergies ; robotics ; COVID-19 ; social media ; hashtag networks ; emotional profiling ; cognitive science ; network science ; sentiment analysis ; computational social science ; Twitter ; VADER scoring ; correlation ; semantic network analysis ; intellectual disability ; adolescents ; EEG ; emotional states ; working memory ; depression ; anxiety ; graph theory ; classification ; machine learning ; neural networks ; phonotactic probability ; neighborhood density ; sub-lexical representations ; lexical representations ; phonemes ; biphones ; cognitive network ; smart assistants ; knowledge generation ; intelligent systems ; web components ; deep learning ; web-based interaction ; cognitive network science ; text analysis ; natural language processing ; artificial intelligence ; emotional recall ; cognitive data ; AI ; pharmacological text corpus ; automatic relation extraction ; gender stereotypes ; story tropes ; movie plots ; network analysis ; word co-occurrence network ; n/a
    Language 0|e
    Size 1 electronic resource (240 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021617252
    ISBN 9783036543468 ; 3036543465
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review.

    Stella, Massimo

    Topics in cognitive science

    2021  Volume 14, Issue 1, Page(s) 143–162

    Abstract: Social media are digitalizing massive amounts of users' cognitions in terms of timelines and emotional content. Such Big Data opens unprecedented opportunities for investigating cognitive phenomena like perception, personality, and information diffusion ... ...

    Abstract Social media are digitalizing massive amounts of users' cognitions in terms of timelines and emotional content. Such Big Data opens unprecedented opportunities for investigating cognitive phenomena like perception, personality, and information diffusion but requires suitable interpretable frameworks. Since social media data come from users' minds, worthy candidates for this challenge are cognitive networks, models of cognition giving structure to mental conceptual associations. This work outlines how cognitive network science can open new, quantitative ways for understanding cognition through online media like: (i) reconstructing how users semantically and emotionally frame events with contextual knowledge unavailable to machine learning, (ii) investigating conceptual salience/prominence through knowledge structure in social discourse; (iii) studying users' personality traits like openness-to-experience, curiosity, and creativity through language in posts; (iv) bridging cognitive/emotional content and social dynamics via multilayer networks comparing the mindsets of influencers and followers. These advancements combine cognitive-, network- and computer science to understand cognitive mechanisms in both digital and real-world settings but come with limitations concerning representativeness, individual variability, and data integration. Such aspects are discussed along with the ethical implications of manipulating sociocognitive data. In the future, reading cognitions through networks and social media can expose cognitive biases amplified by online platforms and relevantly inform policy-making, education, and markets about complex cognitive trends.
    MeSH term(s) Cognition ; Emotions ; Humans ; Language ; Social Cognition ; Social Media
    Language English
    Publishing date 2021-06-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2482883-X
    ISSN 1756-8765 ; 1756-8757
    ISSN (online) 1756-8765
    ISSN 1756-8757
    DOI 10.1111/tops.12551
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Hernán González Bollo y Diego Ezequiel Pereyra. Agencias y funcionarios de la Argentina peronista (1944-1955). Universidad Nacional de Quilmes, 2020, 254 páginas.

    Stella M. Cornelis

    Quinto Sol, Vol 26, Iss

    2022  Volume 2

    Keywords Social Sciences ; H ; Social history and conditions. Social problems. Social reform ; HN1-995 ; Economic history and conditions ; HC10-1085
    Language Spanish
    Publishing date 2022-01-01T00:00:00Z
    Publisher Instituto de Estudios Sociohistóricos, Facultad de Ciencias Humanas, Universidad Nacional de La Pampa
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media.

    Stella, Massimo

    PeerJ. Computer science

    2020  Volume 6, Page(s) e295

    Abstract: Mindset reconstruction maps how individuals structure and perceive knowledge, a map unfolded here by investigating language and its cognitive reflection in the human mind, i.e., the mental lexicon. ...

    Abstract Mindset reconstruction maps how individuals structure and perceive knowledge, a map unfolded here by investigating language and its cognitive reflection in the human mind, i.e., the mental lexicon.
    Language English
    Publishing date 2020-09-14
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.295
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Grasping the sword of Damocles.

    Davies, Stella M

    Blood

    2021  Volume 138, Issue 19, Page(s) 1792–1793

    Language English
    Publishing date 2021-11-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80069-7
    ISSN 1528-0020 ; 0006-4971
    ISSN (online) 1528-0020
    ISSN 0006-4971
    DOI 10.1182/blood.2021012347
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uh III Zs.140: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 364: Show issues

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  6. Book ; Conference proceedings: Hematopoietic stem cell transplantation 2012 education supplement

    Davies, Stella M. / Levine, John E.

    reviews of recent advances in hematopoietic stem cell therapy prepared by clinicians and investigators presenting plenary and concurrent scientific session papers at the 2012 BMT Tandem Meetings [February 1 - 5, 2012 San Diego, California]

    (Biology of blood and marrow transplantation ; 18,1, Suppl. 1)

    2012  

    Event/congress BMT Tandem Meetings (2012, SanDiegoCalif.)
    Author's details ed. Stella M. Davies ; John E. Levine
    Series title Biology of blood and marrow transplantation ; 18,1, Suppl. 1
    Collection
    Language English
    Size S200 S. : Ill., graph. Darst.
    Publisher Elsevier
    Publishing place Orlando, FL
    Publishing country United States
    Document type Book ; Conference proceedings
    HBZ-ID HT017177364
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs A 5082 -18,Suppl.1- not available for loan Zeitschriften-Lesesaal

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  7. Article ; Online: Impact of climate change on the health of peruvians: challenges and strategies for a comprehensive response.

    Blanco-Villafuerte, Luciana / Hartinger, Stella M

    Revista peruana de medicina experimental y salud publica

    2024  Volume 40, Issue 2, Page(s) 130–131

    Title translation Impacto del cambio climático en la salud de los peruanos: desafíos y estrategias para una respuesta integral.
    MeSH term(s) Humans ; Climate Change ; Peru ; Public Health
    Language English
    Publishing date 2024-01-15
    Publishing country Peru
    Document type Editorial
    ZDB-ID 2120092-0
    ISSN 1726-4642 ; 1726-4642
    ISSN (online) 1726-4642
    ISSN 1726-4642
    DOI 10.17843/rpmesp.2023.402.12998
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety

    Stella, Massimo

    A review

    2021  

    Abstract: Math anxiety is a clinical pathology impairing cognitive processing in math-related contexts. Originally thought to affect only inexperienced, low-achieving students, recent investigations show how math anxiety is vastly diffused even among high- ... ...

    Abstract Math anxiety is a clinical pathology impairing cognitive processing in math-related contexts. Originally thought to affect only inexperienced, low-achieving students, recent investigations show how math anxiety is vastly diffused even among high-performing learners. This review of data-informed studies outlines math anxiety as a complex system that: (i) cripples well-being, self-confidence and information processing on both conscious and subconscious levels, (ii) can be transmitted by social interactions, like a pathogen, and worsened by distorted perceptions, (iii) affects roughly 20% of students in 63 out of 64 worldwide educational systems but correlates weakly with academic performance, and (iv) poses a concrete threat to students' well-being, computational literacy and career prospects in science. These patterns underline the crucial need to go beyond performance for estimating math anxiety. Recent advances with network psychometrics and cognitive network science provide ideal frameworks for detecting, interpreting and intervening upon such clinical condition. Merging education research, psychology and data science, the approaches reviewed here reconstruct psychological constructs as complex systems, represented either as multivariate correlation models (e.g. graph exploratory analysis) or as cognitive networks of semantic/emotional associations (e.g. free association networks or forma mentis networks). Not only can these interconnected networks detect otherwise hidden levels of math anxiety but - more crucially - they can unveil the specific layout of interacting factors, e.g. key sources and targets, behind math anxiety in a given cohort. As discussed here, these network approaches open concrete ways for unveiling students' perceptions, emotions and mental well-being, and can enable future powerful data-informed interventions untangling math anxiety.
    Keywords Computer Science - Social and Information Networks ; Computer Science - Computation and Language ; Mathematics - History and Overview ; Physics - Physics and Society
    Publishing date 2021-08-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: The Plata Rock Avalanche

    Stella M. Moreiras

    Frontiers in Earth Science, Vol

    Deciphering the Occurrence of This Huge Collapse in a Glacial Valley of the Central Andes (33° S)

    2020  Volume 8

    Abstract: This paper reviews the genesis of a chaotic deposit in the Blanco River basin (BRB) in the Argentine Andes that has been interpreted to be either of debris flow or glacial origin. A detailed sedimentological and geomorphic study of the deposit was ... ...

    Abstract This paper reviews the genesis of a chaotic deposit in the Blanco River basin (BRB) in the Argentine Andes that has been interpreted to be either of debris flow or glacial origin. A detailed sedimentological and geomorphic study of the deposit was undertaken to determine its origin. Glacial landforms in the source area of the deposit contrast markedly to those in neighboring valleys of the BRB. The lack of moraines and the presence only of rock glaciers in the headwaters of the Angostura Valley suggest that a glacier might have been destroyed by a rock avalanche in the Late Pleistocene. The deposit itself has the characteristics of rapid deposition by a huge (≤105 m3) rock avalanche sourced on the eastern slope of Mount Plata (5,956 m asl). The rock avalanche traveled a distance of 26.6 km and descended 4,700 m in altitude. The optically stimulated luminescence (OSL) ages on alluvial sediments associated with the landslide deposits suggest that the rock avalanche occurred ∼35–39 ka ago. The rock avalanche may have been triggered by an earthquake, given that the active Carrera fault system extends across the basin and there is a cluster of seven Late Pleistocene rock avalanches in the region.
    Keywords rock avalanche ; Late Pleistocene ; Central Andes ; Argentina ; sedimentology ; Science ; Q
    Subject code 550
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Use of Parsing Heuristics in the Comprehension of Passive Sentences: Evidence from Dyslexia and Individual Differences.

    Stella, Marianna / Engelhardt, Paul E

    Brain sciences

    2022  Volume 12, Issue 2

    Abstract: This study examined the comprehension of passive sentences in order to investigate whether individuals with dyslexia rely on parsing heuristics in language comprehension to a greater extent than non-dyslexic readers. One hundred adults (50 dyslexics and ... ...

    Abstract This study examined the comprehension of passive sentences in order to investigate whether individuals with dyslexia rely on parsing heuristics in language comprehension to a greater extent than non-dyslexic readers. One hundred adults (50 dyslexics and 50 controls) read active and passive sentences, and we also manipulated semantic plausibility. Eye movements were monitored, while participants read each sentence, and afterwards, participants answered a comprehension question. We also assessed verbal intelligence and working memory in all participants. Results showed dyslexia status interacted with sentence structure and plausibility, such that participants with dyslexia showed significantly more comprehension errors with passive and implausible sentence. With respect to verbal intelligence and working memory, we found that individuals with lower verbal intelligence were overall more likely to make comprehension errors, and individuals with lower working memory showed particular difficulties with passive and implausible sentences. For reading times, we found that individuals with dyslexia were overall slower readers. These findings suggest that (1) individuals with dyslexia do rely on heuristics to a greater extent than do non-dyslexic individuals, and (2) individual differences variables (e.g., verbal intelligence and working memory) are also related to the use of parsing heuristics. For the latter, lower ability individuals tended to be more consistent with heuristic processing (i.e., good-enough representations).
    Language English
    Publishing date 2022-02-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci12020209
    Database MEDical Literature Analysis and Retrieval System OnLINE

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