Subscribe

Topic

Psychology

Psychology is the study of conscious and unconscious phenomena, feeling and thought. It is an academic discipline of immense scope. Psychologists seek an understanding of the emergent properties of the mind, and all the variety of phenomena associated to personality.

Effect of computerized cognitive remediation therapy on mental time travel in patients with schizophrenia— a pilot randomized controlled trial

Objective: To investigate the intervention effect of computerized cognitive remediation therapy (CCRT) on mental time travel (MTT) in patients with schizophrenia(SCZ).

The research progress of perioperative non-pharmacological interventions on postoperative cognitive dysfunction: a narrative review

Postoperative cognitive dysfunction (POCD) is a common neurological complication in elderly patients after surgery and general anesthesia.

A qualitative investigation of the Montgomery–Åsberg depression rating scale: discrepancies in rater perceptions and data trends in remote assessments of rapid-acting antidepressants in treatment resistant depression

Introduction: Despite the development of many successful pharmaceutical interventions, a significant subset of patients experience treatment-resistant depression (TRD).

Bipolar disorders and schizophrenia: discrete disorders?

Background: With similarities in heritability, neurobiology and symptomatology, the question has been raised whether schizophrenia and bipolar disorder are truly distinctive disorders or belong to a continuum. This narrative review summarizes common and distinctive findings from genetics, neuroimaging, cognition and clinical course that may help to solve this ethiopathogenetic puzzle.

Where in the brain is creativity? The fallacy of a creativity faculty in the brain

The neuroscience of creativity is built on a tacit and near universal assumption that is false.Paradoxically, this is not contentious; once made explicit, the assumption is readily conceded as false.

Physical activity, musculoskeletal disorders, burnout, and work engagement: a cross-sectional study on Italian white-collar employees

Introduction: Both mental and physical health of office workers had a positive relationship with their work engagement, with the latter relationship being driven by the association of a healthy diet and physical activity (PA). This observational study aimed to investigate the associations between PA levels, musculoskeletal disorders (MSDs), burnout, and

Changes of serum cortisol during pregnancy and labor initiation: an onsite cross-sectional study

Background: Increased maternal cortisol secretion has been observed during pregnancy and labor.

Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches

Sugarcane smut and Pachymetra root rots are two serious diseases of sugarcane, with susceptible infected crops losing over 30% of yield.

Identification of PANoptosis-related subtypes, construction of a prognosis signature, and tumor microenvironment landscape of hepatocellular carcinoma using bioinformatic analysis and experimental verification

Background: Hepatocellular carcinoma (HCC) is one of the most lethal malignancies worldwide.

Long-Term Oral Administration of Huaier Granules Improves Survival Outcomes in Hepatocellular Carcinoma Patients Within Milan Criteria following Microwave Ablation: A Propensity Score Matching and Stabilized Inverse Probability Weighting Analysis

Objective: This study aimed to elucidate the therapeutic effects of Huaier granules on hepatocellular carcinoma (HCC) within the Milan criteria in patients who underwent microwave ablation (MWA). Materials and Methods: A total of 228 patients were included, with 97 in the Huaier group and 131 in the control group. We

Estimating Winning Percentage of the Fourth Quarter in Close NBA Games Using Bayesian Logistic Modeling

This study examined the fourth quarters in the close games in the regular NBA games in the last decade, ranging from the 2013-14 season to the 2022-2023 season.

An exploration on the machine-learning-based stroke prediction model

With the rapid development of artificial intelligence technology, machine learning algorithms have been widely applied at various stages of stroke diagnosis, treatment, and prognosis, demonstrating significant potential. A correlation between stroke and cytokine levels in the human body has recently been reported. Our study aimed to establish machine-learning models based

Ashwagandha for Cognitive Function

Editor's Note: This article is a reprint.

Hydroxychloroquine was WHO’s dress rehearsal to shift decision-making to international forces driven by power and money

By examining the manipulation of hydroxychloroquine during the covid era to attain a political end, this article seeks to illustrate the destructive forces brought to bear on how medicine was practised in Australia, with shameless disregard for the health and survival of patients, or for the integrity of those charged

Ten New Studies Detail Health Risks of 5G

Over the past decade, I've written many articles discussing the evidence of biological harm from nonionizing electromagnetic ﬁeld (EMF) radiation and radiofrequency radiation (RFR) from wireless technologies. The video above features an interview I did with Siim Land in February 2020 for his Body Mind Empowerment podcast in which I