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Toward a Continuum for Jesuit Education Founded Upon Cura Personalis and Magis
This dissertation examines the principles and purposes of Jesuit education, renowned for integrating academic excellence with spiritual and civic values, in search of decision-making criteria. While Jesuit schools followed the 1599 Ratio studiorum, they now adhere to guidelines set by the International Commission for the Apostolate of Jesuit Education (ICAJE). Despite ICAJE\u27s comprehensive framework, a gap exists in providing explicit criteria for educational decision-making beyond calling to discern. Employing a thematic qualitative content analysis method, this research analyzes ICAJE’s documents through a hermeneutic lens, drawing upon foundational Jesuit educational sources and significant contemporary studies. Key findings suggest that these principles not only encapsulate the essence of Jesuit education but also offer streamlined fundamental decision-making criteria to guide discernment. This study articulates cura personalis (care for the individual\u27s holistic development within the human community) and magis (discerned pursuit of the greater good) as the essential principles conveying the identity and purpose of Jesuit education. It advocates for these as fundamental decision-making criteria. This dissertation\u27s significance lies in its methodological blend of thematic and qualitative content analysis and its practical implications for qualitative researchers and ii practitioners in education. These findings can assist Ignatian educators in making more effective choices regarding didactical methods, organizing curricula, and defining institutional strategies to ensure a cohesive and enriching humanistic educational experience that better aligns with the fundamental ethos of Jesuit education. Future studies could use these criteria to advance a framework for a K-20 system of Jesuit education
Beyond Basic Vital Signs and Cultural Idiosyncrasies: Does AI Shape Fast and Frugal Clinical Judgment?
What motivates clinicians to trust Artificial Intelligence, even in the presence of well-adopted traditional information as an alternative? Should there be differences in the capacity to trust AI influenced by the state of market adoption and cultural phenomena? This study seeks to supply possible answers gained through an experiment with AI in clinical judgment in mature and emerging markets. It applies a well-established theory, heuristics-based decision-making, in demonstrating how the AI cue is recognized and utilized in clinical judgment, as compared to traditional cues such as basic vital signs. It tests the AI cue for dominance against traditional cues. To enrich findings from the primary objective, the model of the theory of planned behavior and constructs from three validated scales of measurement of attitudes toward AI to illuminate factors facilitating engagement with AI is used. Data are collected from two markets differentiated on the status of adoption of AI in health care: mature (US) and emerging (India). Findings corroborate previous research on the effort reduction in the form of examination of fewer queues and their reduced integration. Additionally, consistent with previous research, it is demonstrated that inclusion of AI does not guarantee its usage. Finally, factors that may either strengthen or inhibit engagement with AI in health care settings are illustrated and discussed
Impact of Obstructive Sleep Apnea on Masticatory Muscle Function
Obstructive sleep apnea (OSA) is a common and potentially serious sleep disorder characterized by repetitive episodes of complete or partial upper airway obstruction during sleep. These obstructions result in a reduction or cessation of airflow, leading to oxygen desaturation, and disruptions in sleep patterns.1,2 Common symptoms of OSA include loud snoring, gasping or choking during sleep, excessive daytime sleepiness, morning headaches, and irritability. Obstructive sleep apnea is often associated with other medical conditions, such as obesity, hypertension, cardiovascular disease, and diabetes. Diagnosis typically involves polysomnography to assess the frequency and severity of apneic episodes
Rotational State-to-State Transition Rate Coefficients for H\u3csub\u3e2\u3c/sub\u3eO + H\u3csub\u3e2\u3c/sub\u3eO Collisions at Nonequilibrium Conditions
Aims. The goal is to develop a database of rate coefficients for rotational state-to-state transitions in H2O + H2O collisions that is suitable for the modeling of energy transfer in nonequilibrium conditions, in which the distribution of rotational states of H2O deviates from local thermodynamic equilibrium.
Methods. A two-temperature model was employed that assumed that although there is no equilibrium between all possible degrees of freedom in the system, the translational and rotational degrees of freedom can be expected to achieve their own equilibria independently, and that they can be approximately characterized by Boltzmann distributions at two different temperatures, Tkin and Trot.
Results. Upon introducing our new parameterization of the collisional rates, taking into account their dependence on both Tkin and Trot, we find a change of up to 20% in the H2O rotational level populations for both ortho and para-H2O for the part of the cometary coma where the nonequilibrium regime occurs
Measuring the Effects of Unconventional Monetary Policy Tools Under Adaptive Learning
We compare the economic effects of forward guidance and quantitative easing utilizing the four-equation New Keynesian model of Sims et al. (2023) with agents forming expectations via an adaptive learning rule. The results indicate forward guidance can have a greater influence on macroeconomic variables compared to quantitative easing. Adaptive learning agents estimate a higher effect of forward guidance on the economy leading to a greater impact on expectations, and thus, contemporaneous inflation. However, the performance gap between forward guidance and quantitative easing can change. If quantitative easing includes anticipated shocks, more households finance consumption through long-term borrowing, and the central bank provides a greater percentage of liquidity in the long-term borrowing market, the performance of quantitative easing can increase, and at times, outperform forward guidance
Positive Thinking Training Intervention for Nursing Students to Foster Resilience: Assessing Critical Parameters from Students’ Perspectives
The COVID-19 pandemic impacted not only the physical but also the mental health of the American population. Anxiety and depression have increased three-fold since the pandemic [1]. The Centers for Disease Control and Prevention (CDC) 2021 survey revealed that approximately 33% of the American population have anxiety symptoms and 28% have depressive symptoms as compared to 11% and 4% of anxiety and depression respectively in 2019 [1]. Also, Research showed that the rate of suicidal ideations during the pandemic is higher than that reported prior to pandemic, suggesting that this may result in higher suicide rates in future [2]. Nursing students are faced with many challenges and anxiety and stress are common among nursing students [3,4] . Without a doubt, these challenges have been exacerbated during the pandemic [3,4]. Research shows that stronger resilience and humor were significantly associated with reduced anxiety [4]. Positive thinking is a cognitive process that helps people to develop optimistic ideas, find favorable solutions to problems, and produce an overall bright outlook on life. Positive thinking is a useful strategy for coping with adversity. Resilience and well-being can be enhanced through positive thinking training intervention [5].
The purpose of this pilot intervention study is to assess the six intervention parameters of the positive thinking training (PTT) intervention namely: the necessity, acceptability, feasibility, fidelity, safety and beginning effectiveness among nursing students
Caregiver QDTS, Korean
The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph
Ob QDTS, Polish
The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph
Adult QDTS, Tagalog
The Readiness for Hospital Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale were developed by Dr. Marianne Weiss to measure nurse-sensitive discharge care processes and patient outcomes. Three versions of the scales were developed concurrently for different patient populations – Adult medical-surgical patients, Parents of hospitalized children, and Postpartum Patient mothers (see Weiss & Piacentine, 2006, Weiss et al., 2007, and Bobay et al., 2018 for description of the development and initial testing). Additional scales and information about translation rights are located at Marquette Nursing. PERMISSION TO USE
The Readiness for Discharge Scale, Quality of Discharge Teaching Scale, and Post-Discharge Coping Difficulty Scale are available, and permission is granted to use the scales obtained from this website under the following conditions: The scales may not be modified or adapted. The scales may be used for research or for clinical practice. Permission is required from Dr. Weiss to load the scale(s) into the electronic health record and for hospital wide use of the scales. The scales may not be used or incorporated into for-profit/commercial programs. In publications reporting use of the scales, please reference Dr Weiss as the author of the scale and the translator (for non-English Scales) if noted on the scale form. The scales may not be published in manuscripts – only the results of use can be published. You may cite this website as the source of the scales. On publication of results, please send Dr Weiss a copy of the published paper.
No further permission is needed if you are using the scales under the above conditions. As a courtesy, please notify the translator listed on the website.
You must contact Dr Weiss directly ( [email protected]) for use in electronic health record system, hospital or system-wide use or for other purposes not listed above.
To see the scoring rubric, please go to https://www.marquette.edu/nursing/hospital-discharge-scales-quality-of-discharge-teaching-scale.ph