Writing direction and language activation affect how Arabic-English bilingual speakers map time onto space.

We investigated whether writing direction and language activation influence how bilingual speakers map time onto space. More specifically, we investigated how Arabic-English bilingual speakers conceived where (e.g.

Carport and carpet: Effects of compound and pseudocompound word structures on typing.

Typing slows at the middle of the word. The exact nature of the slowdown is still disputed. Research on attentional and motoric effects in typing suggests that the slowdown is purely a function of chunking of letters in creating the motor output; this approach posits no further influence of linguistic information during output.

Influence of the constituent morpheme boundary on compound word access.

Embedded morphemes are thought to become available during the processing of multi-morphemic words, and impact access to the whole word. According to the edge-aligned embedded word activation theory Grainger & Beyersmann, (2017), embedded morphemes receive activation when the whole word can be decomposed into constituent morphemes. Thus, interfering with morphological decomposition also interferes with access to the embedded morphemes.

Exploring the role of our contacts with pets in broadening concerns for animals, nature, and fellow humans: a representative study.

While pet ownership is normative in many occidental countries, whether humans' proximal contacts with pets have implications for attitudes and behaviors toward other (non pet) animals, nature, and fellow humans, has received limited empirical attention. In a large representative sample, we investigate whether pet ownership and positive contact with pets are associated with more positive attitudes and heightened concerns for non-pet animals, nature, and human outgroups. A cross-sectional questionnaire survey was conducted among Canadian adults (619 pet owners, 450 non-pet owners).

LaDEP: A large database of English pseudo-compounds.

The Large Database of English Pseudo-compounds (LaDEP) contains nearly 7500 English words which mimic, but do not truly possess, a compound morphemic structure. These pseudo-compounds can be parsed into two free morpheme constituents (e.g.

Clinical and laboratory genetic counseling assistants: Comparing background experiences, responsibilities, satisfaction, and career goals.

Understanding the responsibilities, qualifications, future plans, and contributions of genetic counseling assistants (GCAs) across all work settings could aid in establishing a scope of practice, advocating for creation of GCA positions, and informing future education and training for GCAs and genetic counselors. We compared laboratory and clinical GCA responsibilities, sources of job satisfaction, background experience, and career goals. Sixty-five laboratory and 73 clinical GCAs participated in this study by completing an online survey.

The 5-year longitudinal diagnostic profile and health services utilization of patients treated with electroconvulsive therapy in Quebec: a population-based study.

Purpose: Electroconvulsive therapy (ECT) is effective for treating several psychiatric disorders. However, only a minority of patients are treated with ECT. It is of primary importance to characterize their profile for epidemiological purposes and to inform clinical practice.

Musculoskeletal disorder (MSD) prevention practices by nurses working in health care settings: Facilitators and barriers to implementation.

The incidence of musculoskeletal disorders (MSD) in the healthcare professional population is concerning. In particular, the high incidence of back injuries is an issue for nurses. Although many MSD prevention initiatives are being implemented, these practices are not succeeding in reducing MSDs.

Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety.

Individuals prone to anxiety and depression often report beliefs and make judgements about themselves that are more negative than those reported by others. We use computational modeling of a richly naturalistic task to disentangle the role of negative priors versus negatively biased belief updating and to investigate their association with different dimensions of Internalizing psychopathology. Undergraduate participants first provided profiles for a hypothetical tech internship.

Constituent processing in compound and pseudocompound words.

Theories of multimorphemic word recognition generally posit that constituent representations are involved in accessing the whole multimorphemic word. Gagné et al. (2018) found that pseudoconstituents and constituents become available when processing pseudocompound and compound masked primes (e.

The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety.

Theoretical accounts have linked anxiety to intolerance of ambiguity. However, this relationship has not been well operationalized empirically. Here, we used computational and neuro-imaging methods to characterize anxiety-related differences in aversive decision-making under ambiguity and associated patterns of cortical activity.

On the benefits of representation regularization in invariance based domain generalization.

A crucial aspect of reliable machine learning is to design a deployable system for generalizing new related but unobserved environments. Domain generalization aims to alleviate such a prediction gap between the observed and unseen environments. Previous approaches commonly incorporated learning the invariant representation for achieving good empirical performance.

Pet ownership and psychological well-being during the COVID-19 pandemic.

The question of pet ownership contributing to human well-being has received mixed empirical evidence. This contrasts with the lay intuition that pet ownership contributes positively to wellness. In a large representative sample, we investigate the differences that may exist between pet vs.

Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.

Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of COVID-19 patients as the maximum severity over the course of the disease is closely linked to the outcome. As such, evaluation of future severity from current CXR would be highly desirable. We trained a repurposed deep learning algorithm on the CheXnet open dataset (224,316 chest X-ray images of 65,240 unique patients) to extract features that mapped to radiological labels.

Optimism and pessimism in optimised replay.

The replay of task-relevant trajectories is known to contribute to memory consolidation and improved task performance. A wide variety of experimental data show that the content of replayed sequences is highly specific and can be modulated by reward as well as other prominent task variables. However, the rules governing the choice of sequences to be replayed still remain poorly understood.

Mediators and moderators of physical activity changes in a school-based intervention targeting childhood obesity.

This study identifies mediators and moderators of changes in physical activity (PA) following a school-based pilot intervention. Students from two Lebanese schools were randomly allocated into intervention ( = 191) and control ( = 183) groups. The multiple-mediation analysis revealed that active self-identity and perceived barriers mediated the intervention's effect on PA changes.

Exploring polypharmacy with artificial intelligence: data analysis protocol.

Background: Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of medication combinations and sequences of use makes it complicated for traditional statistical methods to predict which therapy is genuinely associated with health outcomes. The project aims to use artificial intelligence (AI) to determine the quality of polypharmacy among older adults with chronic diseases in the province of Québec, Canada.

Recurrent neural networks achieving MLSE performance for optical channel equalization.

We explore recurrent and feedforward neural networks to mitigate severe inter-symbol interference (ISI) caused by bandlimited channels, such as high speed optical communications systems pushing the frequency response of transmitter components. We propose a novel deep bidirectional long short-term memory (BiLSTM) architecture that strongly emphasizes dependencies in data sequences. For the first time, we demonstrate via simulation that for QPSK transmission the deep BiLSTM achieves the optimal bit error rate performance of a maximum likelihood sequence estimator (MLSE) with perfect channel knowledge.

Flute birds and creamy skies: The metaphor interference effect in modifier-noun phrases.

People take longer to determine that metaphoric sentences (e.g., some birds are flutes) are literally false compared to anomalous sentences (e.