17,197 research outputs found
Gamification in E-Learning: game factors to strengthen specific English pronunciation features in undergraduate students at UPTC Sogamoso
Appendix A Characterization survey (104), Appendix B. EFL Students’ questionnaire (109), Appendix C. Characterization survey: data treatment question (113), Appendix D. Informed consent letter, English version (114), Appendix E. Carta de consentimiento informado, versión en español (117), Appendix F. Time Schedule (120), Appendix G. Sample Challenges at Moodle (126), Appendix H. Participants’ questionnaire results (128).La gamificación es un término que suele denotar el uso de componentes del juego en situaciones no relacionadas con el juego en sí para crear experiencias de aprendizaje agradables, divertidas y motivadoras para los estudiantes (Werbach y Hunter, 2012). Por lo tanto, el análisis de los factores básicos de los juegos se convierte en algo esencial a la hora de definir y utilizar la gamificación como estrategia de mediación del inglés como lengua extranjera para fortalecer rasgos específicos de pronunciación en los estudiantes de pregrado de la UPTC Sogamoso.
El procedimiento de estudio se basa en la investigación acción mediante la implementación de la estrategia de gamificación para la mediación en la pronunciación del inglés, orientada a treinta estudiantes de diferentes programas de ingeniería, administración y tecnología con niveles heterogéneos de dominio del inglés. Las actividades se centran principalmente en la producción de sonidos, el ritmo, el acento y la entonación, los rasgos de pronunciación segmental y suprasegmental.
Los resultados arrojaron una evidente mejora en las características segméntales y suprasegmentales de la percepción en la pronunciación de los participantes así como la contribución del objetivo de los juegos a la instrucción fonética y fonológica, la sensación en el juego a la motivación para mejorar la pronunciación, el reto establecido en los juegos a la actitud positiva de los participantes, y la sociabilidad a la exposición practica de la pronunciación inglesa.Gamification is a relatively new term that often denotes the use of game components in situations unrelated to the game itself to create enjoyable, fun, and motivating learning experiences for students (Werbach and Hunter, 2012). Therefore, analyzing the games' basic factors becomes essential when defining and using gamification as a strategy for English as Foreign Language mediation to strengthen specific pronunciation features in UPTC Sogamoso undergraduate students.
The study procedure is based on action research by implementing the gamification strategy for mediation in English pronunciation, oriented to thirty students from different engineering, management, and technology programs at heterogeneous levels of English proficiency. The activities mainly focus on sound production, rhythm, stress, and intonation, segmental and suprasegmental pronunciation features.
The results showed an evident improvement in the segmental and suprasegmental features of the participants' pronunciation perception as well as the contribution of game goals to phonetics and phonological instruction, the game sensation to the motivation for pronunciation improvement, the game challenge to the participants' positive attitude, and the sociality to the English pronunciation exposure practice
The developing maternal-infant relationship: a qualitative longitudinal study
Aim
The study aimed to explore maternal perceptions and the use of knowledge relating to their infant’s mental health over time using qualitative longitudinal research.
Background
There has been a growing interest in infant mental health over recent years. Much of this interest is directed through the lens of infant determinism, through knowledge regarding neurological development resulting in biological determinism. Research and policy in this field are directed toward individual parenting behaviours, usually focused on the mother. Despite this, there is little attention given to maternal perspectives of infant mental health, indicating that a more innovative approach to methodology is required.
Methods
This study took a qualitative longitudinal approach, and interviews were undertaken with seven mothers from the third trimester of pregnancy and then throughout the first year of the infant’s life. Interviews were conducted at 34 weeks of pregnancy, and then when the infant was 6 and 12 weeks, 6, 9, and 12 months, alongside the collection of researcher field notes—a total of 41 interviews. Data were analysed by creating case profiles, memos, and summaries, and then cross-comparison of the emerging narratives. A psycho-socially informed approach was taken to the analysis of data.
Findings
Three interrelated themes emerged from the data: evolving maternal identity, growing a person, and creating a safe space. The theme of evolving maternal identity dominated the other themes of growing a person and creating a safe space in a way that met perceived socio-cultural requirements for mothering and childcare practices. Participants’ personal stories give voice to their perceptions of the developing maternal-infant relationship in the context of their socio-cultural setting, relationships with others, and experiences over time.
Conclusions
This study adds new knowledge by giving mothers a voice to express how the maternal-infant relationship develops over time. The findings demonstrate how the developing maternal-infant relationship grows in response to their mutual needs as the mother works to create and sustain identities for herself and the infant that will fit within their socio-cultural context and individual situations. Additionally, the findings illustrate the importance of temporal considerations, social networks, and intergenerational relationships to this evolving process. Recommendations for practice, policy, and education are made that reflect the unique relationship between mother and infant and the need to conceptualise this using an ecological approach
How to Be a God
When it comes to questions concerning the nature of Reality, Philosophers and Theologians have the answers.
Philosophers have the answers that can’t be proven right. Theologians have the answers that can’t be proven wrong.
Today’s designers of Massively-Multiplayer Online Role-Playing Games create realities for a living. They can’t spend centuries mulling over the issues: they have to face them head-on. Their practical experiences can indicate which theoretical proposals actually work in practice.
That’s today’s designers. Tomorrow’s will have a whole new set of questions to answer.
The designers of virtual worlds are the literal gods of those realities. Suppose Artificial Intelligence comes through and allows us to create non-player characters as smart as us. What are our responsibilities as gods? How should we, as gods, conduct ourselves?
How should we be gods
A productive response to legacy system petrification
Requirements change. The requirements of a legacy information system change, often in unanticipated ways, and at a more rapid pace than the rate at which the information system itself can be evolved to support them. The capabilities of a legacy system progressively fall further and further behind their evolving requirements, in a degrading process termed petrification. As systems petrify, they deliver diminishing business value, hamper business effectiveness, and drain organisational resources. To address legacy systems, the first challenge is to understand how to shed their resistance to tracking requirements change. The second challenge is to ensure that a newly adaptable system never again petrifies into a change resistant legacy system. This thesis addresses both challenges. The approach outlined herein is underpinned by an agile migration process - termed Productive Migration - that homes in upon the specific causes of petrification within each particular legacy system and provides guidance upon how to address them. That guidance comes in part from a personalised catalogue of petrifying patterns, which capture recurring themes underlying petrification. These steer us to the problems actually present in a given legacy system, and lead us to suitable antidote productive patterns via which we can deal with those problems one by one. To prevent newly adaptable systems from again degrading into legacy systems, we appeal to a follow-on process, termed Productive Evolution, which embraces and keeps pace with change rather than resisting and falling behind it. Productive Evolution teaches us to be vigilant against signs of system petrification and helps us to nip them in the bud. The aim is to nurture systems that remain supportive of the business, that are adaptable in step with ongoing requirements change, and that continue to retain their value as significant business assets
Response of saline reservoir to different phaseCO₂-brine: experimental tests and image-based modelling
Geological CO₂ storage in saline rocks is a promising method for meeting the target of net zero emission and minimizing the anthropogenic CO₂ emitted into the earth’s atmosphere. Storage of CO₂ in saline rocks triggers CO₂-brine-rock interaction that alters the properties of the rock. Properties of rocks are very crucial for the integrity and efficiency of the storage process. Changes in properties of the reservoir rocks due to CO₂-brine-rock interaction must be well predicted, as some changes can reduce the storage integrity of the reservoir. Considering the thermodynamics, phase behavior, solubility of CO₂ in brine, and the variable pressure-temperature conditions of the reservoir, there will be undissolved CO₂ in a CO₂ storage reservoir alongside the brine for a long time, and there is a potential for phase evolution of the undissolved CO₂. The phase of CO₂ influence the CO₂-brine-rock interaction, different phaseCO₂-brine have a unique effect on the properties of the reservoir rocks, Therefore, this study evaluates the effect of four different phaseCO₂-brine reservoir states on the properties of reservoir rocks using experimental and image-based approach.
Samples were saturated with the different phaseCO₂-brine, then subjected to reservoir conditions in a triaxial compression test. The representative element volume (REV)/representative element area (REA) for the rock samples was determined from processed digital images, and rock properties were evaluated using digital rock physics and rock image analysis techniques. This research has evaluated the effect of different phaseCO₂-brine on deformation rate and deformation behavior, bulk modulus, compressibility, strength, and stiffness as well as porosity and permeability of sample reservoir rocks. Changes in pore geometry properties, porosity, and permeability of the rocks in CO₂ storage conditions with different phaseCO₂-brine have been evaluated using digital rock physics techniques. Microscopic rock image analysis has been applied to provide evidence of changes in micro-fabric, the topology of minerals, and elemental composition of minerals in saline rocks resulting from different phaseCO₂-br that can exist in a saline CO₂ storage reservoir. It was seen that the properties of the reservoir that are most affected by the scCO₂-br state of the reservoir include secondary fatigue rate, bulk modulus, shear strength, change in the topology of minerals after saturation as well as change in shape and flatness of pore surfaces. The properties of the reservoir that is most affected by the gCO₂-br state of the reservoir include primary fatigue rate, change in permeability due to stress, change in porosity due to stress, and change topology of minerals due to stress. For all samples, the roundness and smoothness of grains as well as smoothness of pores increased after compression while the roundness of pores decreased. Change in elemental composition in rock minerals in CO₂-brine-rock interaction was seen to depend on the reactivity of the mineral with CO₂ and/or brine and the presence of brine accelerates such change. Carbon, oxygen, and silicon can be used as index minerals for elemental changes in a CO₂-brine-rock system. The result of this work can be applied to predicting the effect the different possible phases of CO₂ will have on the deformation, geomechanics indices, and storage integrity of giant CO₂ storage fields such as Sleipner, In Salah, etc
Self-help/mutual aid groups in mental health : ideology, helping mechanisms and empowerment
In the last quarter of the twentieth century, self-help/mutual aid groups for mental health issues started to emerge in growing numbers, mainly in Western societies, offering and/or advocating for alternative non-traditional forms of support, and attracted the attention of many researchers and clinicians for their unique characteristics. Among the subjects of interest are typologies of groups, helping mechanisms and benefits from participation. However, there is lack of systematic research in the area and existing studies have been largely confined to the therapeutic value of these groups instead of acknowledging their
socio-political meaning and subsequent psychosocial benefits for their members like personal empowerment.
The present study was conducted during the transitional years from a Conservative to a newly elected Labour Government (1996 -1998), with subsequent policy shifts taking place in the welfare sector. The purpose of the study was to explore the potential of self-help groups as part of a broader new social movement, the service user movement, focussing on the English scene. It addressed this issue examining the relevance of a group typology based on political ideology and focus of change. To test the validity of this classification for members, a set of individual characteristics and group mechanisms as well as their change
through time were examined. The sample consisted of fourteen mental health selfhelp/mutual aid groups from London and South East England, with a variety of structural and organisational features. The methodology used was a combination of both quantitative (self-completion questionnaires) and qualitative techniques (analysis of written material, participant observation and interviews). Measurements were repeated after a one-year interval (Time 1N=67, Time 2 N=56).
Findings showed that, indeed, political ideology of self-help/mutual aid groups provided the basis of a meaningful typology and constitutes a comprehensive way of categorising them. Group ideology was related to specific helping mechanisms and aspects of personal empowerment. Specifically, conservative and combined group members reported more expressive group processes like sharing of feelings and self-disclosure, while radical group members were more empowered and optimistic. Group identification was also associated with specific helping activities and aspects of empowerment in the three group categories. The psychosocial character of group types and the beneficial outcomes for members remained stable through time. In general, prolonged participation was reflected in greater member identification with the group and resulted in improved mental wellbeing, increased social support, companionship and optimism for the future
Scalable software and models for large-scale extracellular recordings
The brain represents information about the world through the electrical activity of
populations of neurons. By placing an electrode near a neuron that is firing (spiking), it
is possible to detect the resulting extracellular action potential (EAP) that is transmitted
down an axon to other neurons. In this way, it is possible to monitor the communication
of a group of neurons to uncover how they encode and transmit information. As the
number of recorded neurons continues to increase, however, so do the data processing
and analysis challenges. It is crucial that scalable software and analysis tools are developed
and made available to the neuroscience community to keep up with the large
amounts of data that are already being gathered.
This thesis is composed of three pieces of work which I develop in order to better
process and analyze large-scale extracellular recordings. My work spans all stages of extracellular
analysis from the processing of raw electrical recordings to the development
of statistical models to reveal underlying structure in neural population activity.
In the first work, I focus on developing software to improve the comparison and adoption
of different computational approaches for spike sorting. When analyzing neural
recordings, most researchers are interested in the spiking activity of individual neurons,
which must be extracted from the raw electrical traces through a process called
spike sorting. Much development has been directed towards improving the performance
and automation of spike sorting. This continuous development, while essential,
has contributed to an over-saturation of new, incompatible tools that hinders rigorous
benchmarking and complicates reproducible analysis. To address these limitations, I
develop SpikeInterface, an open-source, Python framework designed to unify preexisting
spike sorting technologies into a single toolkit and to facilitate straightforward
benchmarking of different approaches. With this framework, I demonstrate that modern,
automated spike sorters have low agreement when analyzing the same dataset, i.e.
they find different numbers of neurons with different activity profiles; This result holds
true for a variety of simulated and real datasets. Also, I demonstrate that utilizing a
consensus-based approach to spike sorting, where the outputs of multiple spike sorters
are combined, can dramatically reduce the number of falsely detected neurons.
In the second work, I focus on developing an unsupervised machine learning approach
for determining the source location of individually detected spikes that are
recorded by high-density, microelectrode arrays. By localizing the source of individual
spikes, my method is able to determine the approximate position of the recorded neuriii
ons in relation to the microelectrode array. To allow my model to work with large-scale
datasets, I utilize deep neural networks, a family of machine learning algorithms that
can be trained to approximate complicated functions in a scalable fashion. I evaluate
my method on both simulated and real extracellular datasets, demonstrating that it is
more accurate than other commonly used methods. Also, I show that location estimates
for individual spikes can be utilized to improve the efficiency and accuracy of spike
sorting. After training, my method allows for localization of one million spikes in approximately
37 seconds on a TITAN X GPU, enabling real-time analysis of massive
extracellular datasets.
In my third and final presented work, I focus on developing an unsupervised machine
learning model that can uncover patterns of activity from neural populations
associated with a behaviour being performed. Specifically, I introduce Targeted Neural
Dynamical Modelling (TNDM), a statistical model that jointly models the neural activity
and any external behavioural variables. TNDM decomposes neural dynamics (i.e.
temporal activity patterns) into behaviourally relevant and behaviourally irrelevant dynamics;
the behaviourally relevant dynamics constitute all activity patterns required
to generate the behaviour of interest while behaviourally irrelevant dynamics may be
completely unrelated (e.g. other behavioural or brain states), or even related to behaviour
execution (e.g. dynamics that are associated with behaviour generally but are not
task specific). Again, I implement TNDM using a deep neural network to improve its
scalability and expressivity. On synthetic data and on real recordings from the premotor
(PMd) and primary motor cortex (M1) of a monkey performing a center-out reaching
task, I show that TNDM is able to extract low-dimensional neural dynamics that are
highly predictive of behaviour without sacrificing its fit to the neural data
Seeing the wood and the trees? Lessons from applying ecosystem services in forest planning
In the UK and globally, forestry is experiencing an upsurge in interest as forests are
anticipated to play a major role in addressing the twin crises of biodiversity loss and climate
change that our society currently face. In the UK, forest management has traditionally
focused on timber production yet forests provide many more ecosystem services (ES),
including climate mitigation, slope stabilisation, and numerous wider ecological and social
benefits. Forestry requires long-term planning, and so understanding the impacts of
forest management is a critical part of predicting the future supply of these benefits, that
can then inform decision-making. This thesis has taken a transdisciplinary approach
to operationalise evidence of management impacts on ES to support planning and
management decision-making for a public forest case study in Scotland.
The research questions address three key areas: the link between management and the
supply of ES; demand for ES from the public as a key stakeholder of the public forest
estate; and the use of quantified ES information for supporting forest planning. There is
a growing body of published research on forest ES; this was reviewed to synthesise the
evidence of impacts of management on supply, and the trade-offs and synergies resulting
from different management approaches. The review showed that maintaining the supply of
ES at the forest scale will require a range of management approaches that build resilience
in forests in the face of socio-economic and climate change uncertainty.
A collaborative, case study approach was identified at the outset as critical to meet the
thesis aims. The project was co-developed with a Forest Planning Manager (FM), and the
activities undertaken formed five phases:
Phase 1. Problem scoping and definition, to identify knowledge gaps and research
questions, and select the case study forest. The chosen forest in northwest Scotland is
a predominantly spruce plantation that is important for timber production, recreation and
habitat for a protected species.
Phase 2. Data collection for baseline ES supply, and current and future ES demand: to
address one of the main knowledge gaps identified during Phase 1. Forest users and local
communities were surveyed and the results showed general support for environmental,
health and wellbeing outcomes, while timber production, climate mitigation and economic
growth have lower priority.
Phase 3. Baseline ES mapping: to test the usefulness of these data for operational
decision-making. ES supply hotspots of timber, carbon storage, recreation and
biodiversity benefits were mapped, which highlighted areas where there may be conflicts
in achieving multiple benefits. Hotspot mapping methods were compared with the FM,
who found that individual ES maps were most informative for operational decision-making.
Phase 4. Scenario development and modelling: to explore how ES supply may change
in future in response to management, including the impact of climate change. Forest
development was simulated for 150 years to understand future ES supply under business
as usual management using a dynamically coupled modelling approach. These results
were then compared with alternative management scenarios developed with the FM.
Phase 5. Data visualisation, feedback and reflection: to provide the modelling results in an
interactive form that can support the forest planning process, and reflect on the research
process to learn lessons for the future. A data visualisation dashboard was developed that
the FM found useful for exploring the results, although there were unresolved challenges
related to interpretation, particularly benchmarking and scaling issues.
Overall, the main findings of the thesis showed that forest structure is more important
than species for ES supply in this type of forest. In addition, forest management intensity
decisions have more impact than climate in this region on future ES supply. The study
showed that there are more trade-offs among ES under higher intensity management,
and more synergies under lower intensity management. The simulation showed that time
lags must be anticipated and accepted for delivering a wider suite of ES than timber. The
ES framework provides a suitable method for delivering evidence that demonstrates how
management influences the supply of benefits beyond the wood it supplies that can inform
forest planning. It showed that there are time lags in ES responses to management, and
that the scale at which ES are reported can have important consequences for measuring
change. This is a challenge for using ES in planning. Co-developing the approach ensured
the results were salient, as they resulted in direct instrumental changes to the new forest
management plan that are intended to deliver wider environmental and social benefits in
the future. There were also wider benefits from this project, such as improved awareness
of the link between management and ES supply that the FM can apply in future planning
decision-making
Recommended from our members
Decellularised Normal and Tumour Scaffolds for Cancer Organoid Cultures as a Model of Colorectal Peritoneal Metastases
Peritoneal metastasis (PM) is one of the most common routes of dissemination for colorectal cancer and remains a lethal disease. PM development is caused by a cross-talk between invading cancer cells and the rearrangement of the extracellular matrix (ECM). This interplay is governed by biochemical and biomechanical events that allow the development of a specific microenvironment: the so-called metastatic niche. ECM remodeling may be critical for PM spread. In fact, it has been demonstrated that ECMs are not only able to provide structural support to the exfoliated neoplastic cells, but also to trigger specific molecular pathways, paving the path for the seed of cancer cells, directly to their "pre-educated" soil. The mechanisms that determine the interactions within cancer cells and the ECM are still obscure and could be elucidated by an in vitro 3D-culture system that integrates all the elements involved in PM development. Cancer organoids have shown a profound impact in the field of oncology since they better reflect the main characteristics of the native organs compared to the traditional cell culture models. However, they still fail to represent the heterogeneity of the microenvironment. Methodologies have been recently established to remove cells from tissues and obtain matrices in which ECM and tissue architecture are maintained (dECM models), that could be used as the most representative scaffold on which implant 3D cultures.
I aimed to obtain a 3D-model that closely recapitulates the microenvironment where the PM develops and includes d-ECM repopulated with PM-derived organoids (3D-dECM model). I removed the cellular component of ECMs derived from peritoneal cavity obtained from both PM samples and r matched normal peritoneum using detergents and enzymatic methods. dECMs analyses demonstrated that the procedure maintained the specific characteristics of their tissue of origin also in terms of distribution, localization, and architectural organization of ECM-related proteins. The obtained dECMs showed a different spatial rearrangement between normal and PM-derived peritoneum, suggesting that dECM scaffolds closely recapitulate the native PM microenvironment. Moreover, when I repopulated dECMs with PM-derived organoids I found that PM- and normal peritoneum-derived dECMs differentially regulated the localization and organization of the seeded organoids, which was the same as in the original tissue. The two 3D-ECM models presented different ability in supporting cell proliferation, where PM-derived 3D-dECMs showed a higher proliferation index and a major ability to maintain the stemness phenotype. PM- and normal peritoneum-derived 3D-dECMs differently modulated cell homeostasis and proliferation ratio.
A gene expression analysis of organoids, grown on different substrates reflected faithfully the clinical and biological characteristics of the organoids. The impact of the ECM on the response to standard chemotherapy treatment for PM was also observed.
This demonstrated the value of ex vivo 3D models obtained by combining patient-derived extracellular matrices depleted of cellular components and organoids to mimic the metastatic niche, which could provide tools to develop new therapeutic strategies in a biologically relevant context, to personalize treatments and increase their efficacy
Intervening on hypertension in Zambia: development of a culturally sensitized lifestyle programme to reduce disease incidence in urban areas
Background/purpose:
Hypertension, like other non-communicable diseases, is becoming a major public health problem for Sub-Saharan Africa (SSA). Its increasing prevalence is driven by an epidemiological transition with more people leading unhealthy lifestyles, including poor diet and physical inactivity. This project aimed to explore the use of participatory methods with an urban community in Zambia in co-developing a culturally sensitized hypertension prevention intervention.
Methods:
The intervention development study was divided into four phases. I scoped and synthesized existing literature on risk factors (non-modifiable and modifiable) for hypertension in SSA in Phase One. The identified risk factors and their drivers informed Phase Two community members focus group discussions and stakeholder interviews to explore the local context in the study site to clarify the problem, identify which hypertension risk factors were malleable (potential factors to target), the mechanism of change, and how to deliver this. The findings informed the development of the causal pathway, the intervention theory of change and the Phase Three co-development of the intervention core components and small-scale evaluation. Five co-development workshops (four with local residents and one with local stakeholders) iteratively informed identification of priority risk factors, the delivery format and setting, and finalization of intervention core components. The pilot intervention was then tested with volunteer participants (N=34) to assess feasibility, acceptability and potential effectiveness in Phase four.
Results:
The scoping review identified the most common risk factors for hypertension in SSA. Residents FGDs and key stakeholder interviews, informed by the scoping review findings, identified a number of potentially malleable hypertension risk factors at individual and interpersonal levels, including high salt intake and other dietary factors, low physical activity, excess body weight, central obesity, high alcohol intake and smoking. From these, the workshops prioritised intervening on salt intake, other dietary factors, and physical inactivity. Using these suggestions, an 8-week group-based intervention (CHiPI) was codeveloped. Stakeholders proposed evaluation of the CHiPI on a small scale and delivery through churches: “nearly all residents belong to a church”. Stakeholders also identified community health workers and church leaders as delivery facilitators. The intervention core components were agreed and refined in close consultation with residents. These included linguistic and cultural adaptations of SMART goal setting and self-monitoring tools, which were iteratively tested and refined to reflect the local socio-cultural context. The small-scale evaluation of the intervention showed high acceptability, feasibility and potential effectiveness in improving health literacy, adoption of healthier diets (less salt added during cooking [p=0.014], reduction in added salt to the plate at mealtimes [p=0.001], increased fruit intake [p=0.001], reduced fried meals [p = 0.001]), increased physical activity [p=0.01] and reduced sedentary lifestyle [p = 0.001]. Reductions in body weight [p = 0.002], BMI [p = 0.001], WC [p = 0.001], SBP [-3mmHg, p=0.003] and DBP [-4mmHg, p = 0.001] were also observed.
Conclusions and implications:
Participatory methods succeeded in engaging local residents and stakeholders in the development of a potentially effective culturally sensitized, 8-week, group-based hypertension prevention lifestyle intervention for delivery through churches in Zambia. Having demonstrated high feasibility, acceptability and potential effectiveness, taking this intervention to a larger evaluation to obtain evidence of effectiveness can inform hypertension prevention intervention development in Zambia and other SSA countries
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