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Depositional history of the Ament Bay Assemblage in the Sturgeon Lake Greenstone Belt, Northwestern Ontario: implications for gold metallogeny
Get PDFThe Sturgeon Lake greenstone belt makes up the easternmost portion of the western
Wabigoon terrane of the Superior craton, and is comprised of mostly Neoarchean volcanic
assemblages, minor siliciclastic successions, and subalkalic- to alkalic intrusions. The Ament
Bay assemblage is the youngest supracrustal assemblage of the Sturgeon Lake greenstone belt
with a newly determined maximum depositional age of 2695.2 ± 7.8 Ma. Ament Bay consists
dominantly of polymictic conglomerates, subarkosic- to arkosic arenites and wacke-mudstone
sequences, interpreted as a sub-aerial fan delta that is transitional into subaqueous turbidites.
These lithofacies are intruded by syenites of the Sturgeon Narrows Alkalic Complex (ca: 2693.2
± 0.9 Ma), which are also incorporated as clasts in conglomerates of the Ament Bay assemblage,
indicating a coeval relationship between alkalic magmatism, uplift erosion and sedimentation.
Both the Ament Bay assemblage and Sturgeon Narrows Alkalic Complex are cross-cut by the
Sturgeon Lake fault zone. Coeval alkalic magmatism and sedimentation in a fault-controlled
basin are features of the 2680-2670 Ma Timiskaming assemblage which controls much of the
orogenic-style gold endowment in the Abitibi greenstone belt. The Ament Bay assemblage has
similar features but gold mineralization is not recognized in the belt. The lack of gold
endowment in the Ament Bay assemblage could be a result of crustal influence on the alkalic
melts and shallow-penetrating faults, in contrast to the juvenile nature of alkalic magmatism and
deep-penetrating faults associated with the Timiskaming assemblage.Master of Science (MSc) in Geolog
Serving Canadian Armed Force (CAF) members, veterans, and their families with experiences of trauma
No full textCanadian Armed Forces (CAF) members make the courage decision to protect Canada at
all costs. Their decision entails risking the detriment of their physical and mental well-being.
CAF members and veterans often face unique and traumatic experiences. The current CAF
modernization strategy has prioritized mental health care, implementing more holistic style
approaches as it recognizes the growing need for continuous improvement to both the services
delivered to users and their quality of life. The current medical model of care has been critiqued
for perpetuating oppression and stigmatization of its users and does not allow for the full
consideration of socio-economic factors. The following Advanced Practicum report explores the
effects of various external factors using principles of trauma-informed care and a Mad Studies in
response to stressors such as childhood experience or gender on current experiences.Master of Social Work (MSW
Weaving access: ecological architecture for refuge along the Welland Canal
No full textTo engage everyone, human and non-human, and
provide refuge, is an act of kindness. If the world we
chose to create will be accessible to everyone, we must
design it this way. Sensually, and socially, architecture
can act as the tool we use as a community to create a
landscape that engages us, while still connecting us to
our biographical and geographical history. All within our
control, some things, such as the industrial revolution,
have forced communities including the indigenous, to
move and develop around these infrastructures. Although
economical, some infrastructures out of our control were
a result of compromises, such as the Welland Canal and
the Niagara Escarpment. Which begs the question, how can we provide refuge for
the people who built our communities, the specially-abled,
and the wildlife we depend on? Perhaps by reclaiming a
site that has close ties to this industrial prominence from
colonization, and making it our own again. Resembling a
community space for healing, and recreation, activities we
already informally participate in, and providing a sense of
place to the site. In this case, the Welland Canal, and the
site adjacent to the West of Lock 4.Master of Architecture (M.Arch
A different approach to learning: developing an educational environment with a focus on the neurodiverse and learning disabled
No full textLearning disabilities affect 10% of Canadians. Data indicates
that roughly 3.9 million Canadians are living with learning
disabilities. There are approximately 770 000 students
with neurodevelopmental disorders among the 7.7 million
students in school. Many neurodiverse students who struggle
in traditional classrooms find that elementary, secondary, and
postsecondary academic accommodations don’t meet their
needs.
In order to fill these gaps, it is important for this thesis to
understand different learning and comprehension studies.
Phenomenology and science aren’t typically compared;
however, understanding both aids in understanding the
learning process. Architects have no influence over curriculum
or delivery, but they can improve learning environments.
Subtly manipulating light, texture, shape, and sound can make
learning more engaging. Using the ideas of phenomenology,
neurosciences prove that sensory-stimulating spaces
improve learning. This study demonstrates that designing
neurodiversity-based learning settings will inevitably result in
better spaces for both students and teachers.Master of Architecture (M.Arch
The Archean Hammond Reef deposit: the formation of an orogenic gold deposit in a contractional step-over-zone along a major strike-slip fault system
No full textHammond Reef is an orogenic gold deposit with a measured and indicated resource estimate of
3.3 Moz at an average grade of 0.84 g/t gold. It is located within the south-central region of the
Wabigoon Subprovince in northwest Ontario. It is hosted within a system of north- to northeasttrending anastomosing shear zones, called the Marmion Shear System (MSS), which straddles
the contact between the Mesoarchean Diversion stock to the west and Marmion Batholith to the
east. Multiple shear sense indicators, including the deflection of mylonitic foliations in shear
zones, drag folds, and shear bands, suggests that the MSS is a major sinistral transcurrent fault
system. The bulk of gold mineralization is concentrated in an ENE-trending bend along the MSS,
characterized by intense sericite and carbonate alteration. Mineralization formed between 2700-
2690 Ma and is associated with syn-tectonic hydrothermal quartz breccias and shallowly dipping
quartz-carbonate veins with down-dip striations, which formed during bulk NNW-directed
shortening across the bend. This suggests that the Hammond Reef deposit formed along a
contractional step-over-zone between two regional sinistral transcurrent faults. Compression
across the bend resulted in more fracturing that localized the migration of hydrothermal fluids
and the precipitation and concentration of gold.Master of Science (MSc) in Geolog
Developing social work skills at the mood and anxiety program
No full textDepression and anxiety is a common mental health concern in Canada. One of the
objectives of this advanced practicum final report is to provide an overview of depression and
anxiety, present treatment and practice approaches, and explore service users’ experiences
concerning the treatment of depression and anxiety. Also, I dedicated a section on developing
and practicing reflective practice. The importance of developing reflective practice in social
work is evident. Reflective practitioners’ focus on analyzing and understanding their practice
helps increase their awareness concerning their work. In particular, reflective practice challenges
the underlying assumptions of practitioners and bridges the gap between their professional
knowledge and practice. For this reason, I discussed my learning on reflective practice and how I
applied it while learning practice skills in the advanced practicum site, the Mood and Anxiety
Program at HSN. Hence, this advanced practicum final report presents an analysis of my learning
within the Mood and Anxiety Program, and the corresponding theories and approaches to
practice in the literature
A hydrid deep neural network for electroencephalogram (EEG)-based screening of depression
No full textTechnological development is a major contributor to improve people's quality of life. In recent
times happy life has been considered one of the major requirements as people live under stress and
face several mental disorders like depression, anxiety, and loneliness. In the mental disorder space,
depression is a major and common disease. According to the World Health Organization (WHO),
it is estimated that 5% of adults suffer from depression. Diagnosis of depression has several
challenges, for example, patient counseling is time consuming, over-dependence on doctors and
accuracy of diagnosis. To resolve these diagnosis issues, computer aided system is required with
the use of machine learning tools. The objective of this research to develop hybrid deep learning
model by using CNN and LSTM. The dataset used in this study contains 945 subjects of mental
disorders and healthy control subjects. Three hybrid models were developed and compared with
different sets of extracted features. Raw data was pre-processed and applied in hybrid model, and
at the end the model was validated with the unknown EEG dataset. The hybrid model with entire
features of dataset reported an accuracy of 98.0% and performed better in comparison with other
two models which were trained with extracted features by using decision tree classifier. The results
show that the developed hybrid CNN and LSTM model is accurate, less complex, and useful in
detecting mental disorders including depression using EEG signals
Question everything: a critical examination of faculty beliefs concerning learning strategy and learning styles
No full textStudents make many questions and decisions in academia concerning learning. One of
the most critical among them is what learning strategy to use. In this study, faculty members
from various Ontario (Canada) colleges and universities were surveyed to examine their opinions
on learning strategy effectiveness and on whether learning styles exist as an advantage for
learners. This study compares the opinions of faculty members on learning strategy to the
evaluation of learning techniques outlined by John Dunlosky’s research team (Dunlosky et al.,
2013) and to the best evidence concerning learning styles as an advantage for learning (Pashler et
al., 2008; Massa & Mayer, 2006). While several key factors were examined (for example, the
faculty’s highest degree, employment status, number of years teaching, and institution type), the
results produced mixed evidence for faculty opinions against the best evidence. As well,
demographic differences among the groups of teachers were not meaningful predictors of their
opinions. Even though faculty opinions were not in line with recognized evidence, learning is a
complicated situation, and theories will be presented to examine the disconnect between the
instructors’ opinions and the best evidence.Doctor of Philosophy (PhD) in Human Studies and Interdisciplinarit
La pertinence des styles d’enseignement de Mosston et Ashworth au regard des réalités de l’enseignement de l’éducation physique et sportive en République du Congo
No full textCette étude a pour objectif de vérifier la pertinence des styles d’enseignement de Mosston et Ashworth (2002) au regard des réalités de l’enseignement de l’éducation physique et sportive (EPS) au Congo. Pour ce faire, la Technique du Groupe Nominale (TGN) a été utilisée comme technique de collecte des données pour recueillir les informations. Dix (10) enseignants d’EPS ayant pris part préalablement a une formation sur les styles d’enseignement de Mosston et Ashworth se sont portés volontaires à participer à l’étude. Les résultats obtenus montrent qu’en République du Congo, les styles d’enseignement de Mosston et Ashworth n’ont tous pas été jugés pertinents. Cinq (5) raisons ont été évoquées par les participants : le livre programme de l’INRAP suggère uniquement l’utilisation des styles d’enseignement reproducteurs ; l’insuffisance du volume horaire accordé à l’enseignement de l’EPS ; l’effectif pléthorique des classes ; le manque criard du matériel didactique et le manque d’installations sportives
Evaluation of U-Net model in the detection of cervical spine fractures
No full textThe cervical spine is composed of seven vertebrae from C1 to C7 with a lordotic curve (C-shaped
curve) and joints between vertebrae for spine mobility. A computed tomography (CT) is
commonly used by experts and physicians in imaging diagnosis to give information about the
cervical spine and vertebrae in the neck. Diseases such as spinal stenosis (narrowing of the spinal
canal), herniated discs, tumors, and fractures in the cervical spine can be diagnosed by CT scans.
Quickly detecting the presence, and location of cervical spine fractures in CT scans helps
physicians prevent neurologic deterioration and paralysis after trauma. Throughout this thesis, a
U-Net model was trained for semantic segmentation on approximately 2019 study instances with
provided CT images, while only 87 of them have been segmented by spine radiology specialists.
After that, a combination of 2D CNN and bidirectional GRU deep learning models was used for
the detection of fractures in each vertebra, as a classification task.
The objectives of this research are to develop two deep-learning models for detecting and
localizing cervical spine fractures and evaluate the ongoing research activities on semantic
segmentation and classification in the medical field. This research aims to use a semantic
segmentation algorithm in deep learning by using U-Net architecture to estimate the location of
each cervical vertebra, as well as propose a deep convolutional neural network (DCNN) with a
bidirectional GRU memory (Bi-GRU) layer for the automated detection of cervical spine
fractures in CT images. This approach was trained and tested on a dataset provided by RSNA
(a team of the American Society of Neuroradiology and Spine Radiology).
Furthermore, the critical factors, such as preprocessing techniques and specialized loss functions
were explored that must be taken into consideration when segmenting 3D medical images.
Whether used as a standalone framework for segmentation and classification tasks or as an
integrated backbone for medical image processing, this architecture is flexible enough to
accommodate other models. The proposed approach yields results that are comparable to those
of existing techniques, but it can be improved by using larger image sizes and more advanced
GPU workstations that will reduce the overall processing time.
Future research will be using other pretrained networks as an encoder and increasing image sizes
to examin the performance improvmet of the architecture which needed more advanced
computational resources and also integrate the current architecture into a simulated crash
scenarios to use in various applications such as producing protecive sport equipments.Master of Science (MSc) in Computational Science