2,318 results match your criteria: "Lakehead University; Northern Ontario School of Medicine. chris.mushquash@lakeheadu.ca.[Affiliation]"

PET Imaging of Solid Tumors with a G-Quadruplex-Targeting F-Labeled Peptide Probe.

J Med Chem

January 2025

Guangdong Medicine-Engineering Interdisciplinary Technology Research Center, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, China.

Positron emission tomography (PET) is a common imaging technique and can provide accurate information about the size, shape, and location of tumors. Recent evidence has shown that G-quadruplex structures (G4s) are identified in human oncogenes, and these special structures are recognized as diagnostic cancer markers and drug targets for anticancer therapies. Although a number of techniques for in vivo imaging of G4s have been developed, achieving sufficient sensitivity and selectivity in vivo remains challenging.

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Transtibial amputation (TTA) is the removal of the lower leg often resulting in pain, mental health issues, and a more sedentary lifestyle that lacks physical activity (PA). Low balance confidence and other factors related to the physical and psychosocial adaptation to amputation could contribute to why people with TTA actively avoid PA. Studies have investigated lower extremity amputations and barriers to PA in general, but none have focused solely on transtibial amputation and its relationship with PA participation and avoidance habits.

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Table Extraction with Table Data Using VGG-19 Deep Learning Model.

Sensors (Basel)

January 2025

Faculty of Science and Environmental Studies, Department of Computer Science, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.

In recent years, significant progress has been achieved in understanding and processing tabular data. However, existing approaches often rely on task-specific features and model architectures, posing challenges in accurately extracting table structures amidst diverse layouts, styles, and noise contamination. This study introduces a comprehensive deep learning methodology that is tailored for the precise identification and extraction of rows and columns from document images that contain tables.

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Meta-analysis reveals global variations in plant diversity effects on productivity.

Nature

January 2025

Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada.

Positive effects of plant diversity on productivity have been globally demonstrated and explained by two main effects: complementarity effects and selection effects. However, plant diversity experiments have shown substantial variation in these effects, with driving factors poorly understood. On the basis of a meta-analysis of 452 experiments across the globe, we show that productivity increases on average by 15.

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Family physicians in Ontario provide most of the primary care to the healthcare system. However, given their broad scope of practice, they often provide additional services including emergency medicine, hospital medicine, and palliative care. Understanding the spectrum of services provided by family physicians across different regions is important for health human resource planning (HHRP).

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Animal translocations provide striking examples of the human footprint on biodiversity. Combining continental-wide genomic and DNA-barcoding analyses, we reconstructed the historical biogeography of the Asian black-spined toad (Duttaphrynus melanostictus), a toxic commensal amphibian that currently threatens two biodiversity hotspots through biological invasions (Wallacea and Madagascar). The results emphasize a complex diversification shaped by speciation and mitochondrial introgression that comprises two distinct species.

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This study tested the accuracy and thermodynamic consistency of four CEoS/α-function models. The objective was to find the most suitable CEoS/α-function combo for producing accurate and consistent physical and derivative properties for nonpolar, polar and hydrogen bonding components at subcritical conditions. The models tested were PR-Twu, PR-Soave, RK-Twu, and RK-Soave.

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Background: This study investigates a multi-angle acquisition method aimed at improving image quality in organ-targeted PET detectors with planar detector heads. Organ-targeted PET technologies have emerged to address limitations of conventional whole-body PET/CT systems, such as restricted axial field-of-view (AFOV), limited spatial resolution, and high radiation exposure associated with PET procedures. The AFOV in organ-targeted PET can be adjusted to the organ of interest, minimizing unwanted signals from other parts of the body, thus improving signal collection efficiency and reducing the dose of administered radiotracer.

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This study presents a theoretical and mathematical analysis and modelling of the emerging microalgal membrane photobioreactors (M-MPBRs) for wastewater treatment. A set of mathematical models was developed to predict the biological performances of M-MPBRs. The model takes into account the effects of hydraulic retention time (HRT), solid retention time (SRT), and the N/P ratio of influent on the biological performance of M-MPBRs, such as microalgal biomass production and nutrient (N and P) removals.

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The field of phenomics is experiencing unprecedented advances thanks to the rapid growth of morphological quantification based on three-dimensional (3D) imaging, online data repositories, team-oriented collaborations, and open data-sharing policies. In line with these progressions, we present an extensive primate phenotypic dataset comprising >6,000 3D scans (media) representing skeletal morphologies of 386 individual specimens covering all hominoid genera (except humans) and other selected primates. The digitized specimens are housed in physical collections at the American Museum of Natural History, the National Museum of Natural History, the Royal Museum for Central Africa (Belgium), the Cleveland Museum of Natural History, and Stony Brook University.

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The worldwide prevalence of thyroid disease is on the rise, representing a chronic condition that significantly impacts global mortality rates. Machine learning (ML) approaches have demonstrated potential superiority in mitigating the occurrence of this disease by facilitating early detection and treatment. However, there is a growing demand among stakeholders and patients for reliable and credible explanations of the generated predictions in sensitive medical domains.

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Cancer Cells in Sleep Mode: Wake Them to Eliminate or Keep Them Asleep Forever?

Cells

December 2024

Department of Chemistry, Lakehead University, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada.

Cancer cell dormancy is a critical phase in cancer development, wherein cancer cells exist in a latent state marked by temporary but reversible growth arrest. This dormancy phase contributes to anticancer drug resistance, cancer recurrence, and metastasis. Treatment strategies aimed at cancer dormancy can be categorized into two contradictory approaches: inducing cancer cells into a dormant state or eliminating dormant cells.

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Crosslinked lignin starch copolymer as a sustainable and thermally stable drilling fluid controller.

Carbohydr Polym

February 2025

Biorefining Research Institute and Chemical Engineering Department, Lakehead University, Thunder Bay, ON P7B 5E1, Canada. Electronic address:

Fluid loss is a well-known challenge of drilling operations. In this work, a novel sustainable starch-lignin-based polymer was synthesized for possible use in drilling fluid applications. The X-ray photoelectron spectroscopy (XPS) analysis confirmed that kraft lignin was crosslinked with starch via ether covalent bonds.

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This study was carried out to develop a conceptual framework for determining the best interpolation method which mainly is employed to calculate the variability maps of electrical conductivity (EC) in neighboring regions. The considered case study is parts of the Khorasan Razavi province, Iran (including five aquifers Kashmar, Fariman, Doruneh, Sarakhs and Joveyn). In the first step, the empirical variogram (semi-variogram) was computed for the study area.

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This article examines the complicated terrain of immunization acceptance and access among Indigenous peoples in northern Ontario by drawing on conversations held prior to 2019 that explored knowledge about Haemophilus influenzae type a (Hia) infection specifically and attitudes toward vaccines more broadly. In the decade preceding COVID-19, Hia emerged as a leading cause of morbidity and mortality in Indigenous communities in northern Canada. Before developing new vaccines, it is imperative to hold conversations with the communities most affected and to learn more about Indigenous peoples' perceptions of and knowledge about vaccines, both generally and Hia specifically.

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Background: The International Federation of Manual and Musculoskeletal Physical Therapists (IFOMPT) membership requires accreditation of countries postgraduate musculoskeletal physiotherapy programmes to meet IFOMPT's Educational Standards through International Monitoring. The Educational Standards and International Monitoring are both being reviewed.

Objectives: To seek insight and feedback from IFOMPT's membership on the Educational Standards and International Monitoring to inform the current review.

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Metaphors to describe and understand dementia have been used in Western culture for many years. However, the ways in which people living with dementia and care partners use metaphors and symbols to illustrate and give meaning to their own experiences has been less understood. In this paper we explore the use of metaphor as methodology-- a way to support people living with dementia and their care partners in reflecting on and sharing their experiences of dementia.

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Hub Metabolites Promote the Bioflocculant Production in a Biomass-Degrading Bacterium Pseudomonas boreopolis GO2.

Microb Physiol

January 2025

State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, School of Marine Sciences, Ningbo University, Ningbo, China.

Introduction: The low yield of bioflocculants has been a bottleneck problem that limits their industrial applications. Understanding the metabolic mechanism of bacteria that produce bioflocculants could provide valuable insights and strategies to directly regulate their yield in future.

Methods: To investigate the change of metabolites in the process of bioflocculant production by a biomass-degrading bacterium, Pseudomonas boreopolis GO2, an untargeted metabolome analysis was performed.

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Long-term stability of productivity increases with tree diversity in Canadian forests.

Proc Natl Acad Sci U S A

December 2024

Faculty of Natural Resources Management, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.

Article Synopsis
  • The study investigates the relationship between tree diversity and the stability of forest productivity over long periods, using data from 7,500 natural forest plots in Canada.
  • Findings reveal that greater tree diversity—based on functional, phylogenetic, and taxonomic measures—leads to increased temporal stability in forest productivity, which is crucial for ecosystem health.
  • Specifically, higher functional diversity can boost productivity and stability metrics significantly, underscoring the importance of maintaining diverse forests for long-term ecological benefits.
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Sexual violence is a worldwide issue that impacts many individuals, often with serious and long-lasting effects. Students represent a high-risk group for sexual violence on campuses. As a result, various government initiatives have called for Universities and Colleges to develop policies and sexual violence prevention initiatives.

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"Several birds with one stone": exploring the potential of AI methods for multi-target drug design.

Mol Divers

November 2024

Department of Computer Science, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, Ontario, L2S 3A1, Canada.

Article Synopsis
  • Drug discovery is typically slow and costly, but AI methods are being used to accelerate the process and effectively create new drug candidates.
  • While many AI-driven studies focus on a single-target approach, polypharmacology aims to find drugs that can bind multiple targets simultaneously for better disease treatment outcomes.
  • Research shows that AI techniques for multi-target drug design can produce higher quality compounds more efficiently than traditional single-target methods, despite the common belief that multi-target design is more challenging.
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The need for increased sensitivity in magnetic resonance imaging (MRI) is crucial for its advancement as an imaging modality. The development of passive Lenz Resonators (LRs) for effective RF magnetic field (B) focusing will improve MRI sensitivity via local amplification of MRI signal, thereby leading to more efficient diagnosis and patient treatment.While there are methods for amplifying the signal from specific nuclei in MRI, such as hyperpolarization, a general solution will be more advantageous and would work in combination with these preexisting methods.

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Objective: To date, systematic reviews of frostbite injuries predominantly focus on the treatment of frostbite, which narrows the scope of prevention and disregards the impact of frostbite-related predisposing factors. Comprehensively synthesizing relevant evidence to understand the psychosocial and personal predisposing factors to frostbite injury and related amputation would provide new insight into frostbite injury prevention. This review investigated the psychosocial and personal predisposing factors of frostbite injury and associated amputation.

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