Research (10)
Figurative language comprehension in individuals with autism spectrum disorder: A meta-analytic review
We present a meta-analysis of studies that compare figurative language comprehension in individuals with autism spectrum disorder and in typically developing controls who were matched based on chronological age or/and language ability. A total of 41 studies and 45 independent effect sizes were included based on predetermined inclusion criteria. Group matching strategy, age, types of figurative language, and cross-linguistic differences were examined as predictors that might explain heterogeneity
Methodological Problems on the Way to Integrative Human Neuroscience
Neuroscience is multidisciplinary effort to understand structures and functions of the brain and brain-mind relations. This effort results in the increasing amount of data, generated by sophisticated technologies. However, these data enhance our descriptive knowledge, rather than to improve our understanding of brain functions. This is caused by methodological gaps both within and between subdisciplines constituting neuroscience, and the atomistic approach that limits the study of macro- and mes
Boosting Cognition: Effects of Multiple-Session Transcranial Direct Current Stimulation on Working Memory
Transcranial direct current stimulation (tDCS) is a promising tool for neurocognitive enhancement. Several studies have shown that just a single session of tDCS over the left dorsolateral pFC (lDLPFC) can improve the core cognitive function of working memory (WM) in healthy adults. Yet, recent studies combining multiple sessions of anodal tDCS over lDLPFC with verbal WM training did not observe additional benefits of tDCS in subsequent stimulation sessions nor transfer of benefits to novel WM ta
Exploring the benefits and challenges of health professionals’ participation in online health communities: Emergence of (dis)empowerment processes and outcomes
BACKGROUND: Various online applications and service has led to the development of online health communities (OHCs), which in addition to the peer-to-peer communication offer patients and other users also interaction with health professionals. While the benefits and challenges of patients and other users' participation in OHCs have been extensively studied, a thorough examination of how health professionals as moderators (i.e., those who provide clinical expertise to patients and other users in O
The dangers of faulty, biased, or malicious algorithms requires independent oversight
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Increased cortical capillary transit time heterogeneity in Alzheimer's disease: a DSC-MRI perfusion study
Alzheimer's disease (AD) is characterized by the accumulation of hyperphosphorylated tau and neurotoxic Aβ in the brain parenchyma. Hypoxia caused by microvascular changes and disturbed capillary flows could stimulate this build-up of AD-specific proteins in the brain. In this study, we compared cerebral microcirculation in a cohort of AD and mild cognitive impairment (MCI) patients with that of age-matched controls, all without a history of diabetes or of hypertension for more than 2 years, usi
What is data ethics?
as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing and use), algorithms (including artificial intelligence, artificial agents, machine learning and robots) and corresponding practices (including responsible innovation, programming, hacking and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data ethics builds on the f
OTX015 (MK-8628), a novel BET inhibitor, exhibits antitumor activity in non-small cell and small cell lung cancer models harboring different oncogenic mutations
// Maria E. Riveiro 1 , Lucile Astorgues-Xerri 1 , Ramiro Vazquez 2 , Roberta Frapolli 2 , Ivo Kwee 3, 5 , Andrea Rinaldi 3 , Elodie Odore 6 , Keyvan Rezai 6 , Mohamed Bekradda 1 , Giorgio Inghirami 7, 9 , Maurizio D’Incalci 2 , Kay Noel 10 , Esteban Cvitkovic 1, 10 , Eric Raymond 11 , Francesco Bertoni 3, 12 1 Oncology Therapeutic Development, Clichy, France 2 IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy 3 Lymphoma and Genomics Research Program, IOR Institute of Onc
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains
Advances in neuronal recording techniques are leading to ever larger numbers of simultaneously monitored neurons. This poses the important analytical challenge of how to capture compactly all sensory information that neural population codes carry in their spatial dimension (differences in stimulus tuning across neurons at different locations), in their temporal dimension (temporal neural response variations), or in their combination (temporally coordinated neural population firing). Here we inve
Improving workplace-based assessment and feedback by an E-portfolio enhanced with learning analytics
Electronic portfolios (E-portfolios) are crucial means for workplace-based assessment and feedback. Although E-portfolios provide a useful approach to view each learner’s progress, so far options for personalized feedback and potential data about a learner’s performances at the workplace often remain unexploited. This paper advocates that E-portfolios enhanced with learning analytics, might increase the quality and efficiency of workplace-based feedback and assessment in professional education.