A pilot study of the role of the BDNF Val66Met polymorphism in response to exercise-augmented exposure therapy for posttraumatic stress disorder.

Brain-Derived Neurotrophic Factor (BDNF) is implicated in extinction learning, which is a primary mechanism of exposure therapy for posttraumatic stress disorder (PTSD). Brief aerobic exercise has been shown to promote BDNF release and augment extinction learning. On the premise that the Val allele of the BDNF Val66Met polymorphism facilitates greater release of BDNF, this study examined the extent to which the Val allele of the BDNF polymorphism predicted treatment response in PTSD patients who underwent exposure therapy combined with aerobic exercise or passive stretching.

Cognitive Behavior Therapy vs Mindfulness in Treatment of Prolonged Grief Disorder: A Randomized Clinical Trial.

Importance: Although grief-focused cognitive behavior therapies are the most empirically supported treatment for prolonged grief disorder, many people find this treatment difficult. A viable alternative for treatment is mindfulness-based cognitive therapy.

Objective: To examine the relative efficacies of grief-focused cognitive behavior therapy and mindfulness-based cognitive therapy to reduce prolonged grief disorder severity.

Habituation of distress during exposure and its relationship to treatment outcome in post-traumatic stress disorder and prolonged grief disorder.

Reliving distressing memories is a core component of treatments for post-traumatic stress disorder (PTSD) and prolonged grief disorder (PGD). There is little understanding of how reliving these memories functions in the treatment of these disorders. This study investigated whether reliving functions comparably in the treatment of PTSD and PGD, and whether it is comparably related to treatment outcome.

Videoconferencing-delivered psychological intervention for the treatment of COVID-19 related psychological distress in University students: study protocol for a randomised controlled trial in India.

Background: The mental health impacts of the COVID-19 pandemic have been profound. This paper outlines the study protocol for a trial that tests the efficacy of a brief group-based psychological intervention (Coping with COVID; CWC), relative to Supportive Counselling, to reduce distress associated with COVID-19 in a young adult population in Bangalore, India.

Methods: A single-blind, parallel, randomized controlled trial will be carried out via video conferencing in a small group format.

Augmenting trauma-focused psychotherapy for post-traumatic stress disorder with brief aerobic exercise in Australia: a randomised clinical trial.

Background: Although exposure therapy is central in most front-line psychotherapies of post-traumatic stress disorder (PTSD), many patients do not respond to this treatment. We aimed to investigate the effects of brief aerobic exercise on the efficacy of exposure therapy in reducing the severity of PTSD.

Methods: We did a single-blind, parallel, randomised controlled trial in Sydney, NSW, Australia.

DATaR: Depth Augmented Target Redetection using Kernelized Correlation Filter.

Unlike deep learning which requires large training datasets, correlation filter-based trackers like Kernelized Correlation Filter (KCF) use implicit properties of tracked images (circulant structure) for training in real time. Despite their popularity in tracking applications, there exists significant drawbacks of the tracker in cases like occlusions and out-of-view scenarios. This paper attempts to address some of these drawbacks with a novel RGB-D Kernel Correlation tracker in target re-detection.

Effectiveness of a Videoconferencing-Delivered Psychological Intervention for Mental Health Problems during COVID-19: A Proof-of-Concept Randomized Clinical Trial.

Introduction: Anxiety and depression have increased markedly during the COVID-19 pandemic. There is a lack of evidence-based strategies to address these mental health needs during the pandemic.

Objective: We aim to conduct a proof-of-concept trial of the efficacy of a brief group-based psychological intervention delivered via videoconferencing for adults in Australia distressed by the pandemic.

Discovery of novel inhibitors targeting Plasmodium knowlesi dihydrofolate reductase using molecular docking and molecular dynamics simulation.

Plasmodium knowlesi, recognized as the fifth Plasmodium parasite, is the least studied malaria parasite. It is a significant cause of morbidity and mortality in the South-East Asia region. Enzymes of folate synthesis, especially dihydrofolate reductase (DHFR), is a well-approved drug target in other Plasmodium species, but its role in Plasmodium knowlesi is poorly studied.

Effect of Information, Education, and Communication activity on health literacy of cardiovascular diseases among school-going adolescents in Delhi.

Background: Heart attack and stroke account for >80% of deaths due to cardio-vascular diseases (CVDs) in India. Adolescents are the most susceptible group to adopt risky behaviors causing CVDs such as use of tobacco and alcohol, sedentary lifestyle, and unhealthy diet. This study was conducted to assess the health literacy of CVDs such as heart attack and stroke among school-going adolescents and change in health literacy after different information, education, and communication (IEC) activities.

Brief videoconferencing psychological intervention for reducing COVID-19 related distress: study protocol for a randomized controlled trial.

Background: Globally COVID-19 has had a profound impact on the psychological wellbeing of millions of people, and there is an urgent imperative to address elevated levels of distress during the COVID-19 pandemic. The World Health Organization (WHO) has developed Problem Management Plus (PM+), a low intensity psychological intervention for adults experiencing psychological distress. This paper outlines the study protocol for a trial that tests the effectiveness of an adapted version of PM+ to reduce distress associated with COVID-19.

Deep Attention Models for Human Tracking Using RGBD.

Visual tracking performance has long been limited by the lack of better appearance models. These models fail either where they tend to change rapidly, like in motion-based tracking, or where accurate information of the object may not be available, like in color camouflage (where background and foreground colors are similar). This paper proposes a robust, adaptive appearance model which works accurately in situations of color camouflage, even in the presence of complex natural objects.