Chemistry, manufacturing, and control (CMC) assessment of Manganescan

To design effective and patient-specific cancer therapy, sensitive detection of relapse and distant metastases by non-invasive medical imaging is essential, for which MRI offers tremendous potential due to wide availability of the equipment in clinic and avoidance of ionizing radiation. Although gadolinium-based contrast agents are the most frequently used for MRI, they are associated with nephrogenic systemic fibrosis and brain deposition. Thus, less toxic manganese ions are exploited as an alternative for tumor detection using MRI.

SmartBody, SmartMind: Exploring the effectiveness of an online interoceptive training program on physical and emotional well-being.

SmartBody, SmartMind (SBSM) is a 12-week online intervention combining elements of movement, mindfulness, education, and psychologically-informed coping strategies. SBSM’s philosophy is that there are physical, emotional, and psychological dimensions to all disorders. Accordingly, SBSM offers a variety of therapeutic techniques through a variety of modalities, so that each individual may tailor their own healing. While SBSM’s approach aligns closely with leading edge research on trauma, chronic pain, and other conditions, it has never been formally evaluated.

The role of wearable technology in a community-based program for language development and the impact of virtual program delivery.

The proposed research project is the virtual delivery of an existing program provided by the partner organization, Calgary Reads. LENA Start is a group program offered to parents of children aged 6 months to 3 years. The goal of the program is the provide parents with information regarding language development in the home and practical strategies to both increase parent language and conversational turns between the caregiver and child as well as increase parent knowledge and child language outcomes.

It takes a village: Investigating the scaffolding strategies of writing development employed by ANS communities to support early literacy development.

The achievement gap observed between African Nova Scotia (ANS) learners and their peers has been a concern to the researchers, the community, policy-makers and other education sponsors. Also, the on-going COVID-19 crisis has increased calls for research studies that can share light on how education investors can trust and work together to address the achievement gap and inform policy.

Community-based water monitoring and two-eyed seeing in the St. Marys Area of Concern

This project aims to bring Indigenous and Western ways of knowing together to generate actionable community-based data and information to influence local and regional water management and related decisions in the St. Marys River Area of Concern. Led collaboratively by the Garden River First Nation, NORDIK Institute (Algoma University), and Waterlution, delivered in partnership with four other organizations, we propose a pilot project that will train Indigenous community members to monitor water quality over a condensed monitoring season (i.e., as a proof of concept).

Change detection of wetland vegetation under contrasting water-level scenarios in coastal marshes of eastern Georgian Bay

Great Lakes coastal marshes are economically and ecologically important ecosystems that purify water, reduce flooding risks, and provide habitat for the most diverse community of plants, reptiles, and fish along the shoreline. Most of the coastal marshes in Lakes Ontario and Erie have been destroyed or degraded by land-use changes, but those in eastern Georgian Bay are still in pristine condition; however, water-level fluctuations associated with global climate change and human activities are threatening their ecological integrity.

Program evaluation for JUMP Math: An empirical assessment of a resource for math education - Year two

Canadian math scores are in decline. Numerous studies have demonstrated the importance of numerical proficiency for outcomes such as health, employability and financial stability. Therefore, the effectiveness of a child’s math education is key to future success. It is of utmost importance, then, to identify effective math education programs. The proposed project will evaluate JUMP Math – a not-for-profit math curriculum – in a selection of schools within the Thames Valley District School Board (TVDSB).

The experiences of Indigenous school psychology trainees working with Indigenous communities

To date, there is little understanding of how to adapt school psychology practice to fit the needs of Indigenous populations. This project seeks to understand the current challenges that exist for school psychology practice with Indigenous peoples and what changes are needed to advance the practice. By completing autobiographical studies, Indigenous master’s students-in-training who will be working with First Nations communities and Indigenous students are uniquely positioned to consider how school psychology can better serve the interests of their people.

Identifying Challenges Faced by Women Entrepreneurs When Starting and Growing Businesses in Cambodia

This research project will focus on identifying challenges that women entrepreneurs in Cambodia face when starting and/or growing businesses. The purpose of the research is to help organizations identify areas where they can improve their services offered to empower women to start and grow their businesses. This research will be done by collecting participant feedback through the Monkiri E-Learning Application. Participants will be separated into groups and a randomized selection will be interviewed.

Artificial Intelligence and Machine Learning in the Interpretation of Wide-Complex Tachyarrhythmia

Wide-Complex Tachyarrhythmia (WCT) is an abnormality in which the heart rate is elevated and QRS complex duration is increased. An electrocardiogram (ECG) is a simple and quick test used to review heart functioning, so ECG images can be used to determine whether a patient is having an abnormal heart rhythm such as WCT. A WCT diagnosis based on the ECG can be difficult as it can take a lot of time and considerable expertise to make an accurate interpretation.

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