The paper explores mathematical methods that differentiate regular and chaotic time series, specifically for identifying pathological fistulas. It proposes a noise-resistant method for classifying responding rows of n...
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As artificial intelligence (AI) becomes more prominent in children's lives, an increasing number of researchers and practitioners underscored the importance of integrating AI as learning content in K-12. Despite t...
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This innovative practice paper describes the authors' experiences introducing active learning methodologies into a hybrid undergraduate software engineering project course. On our campus hybrid courses have both i...
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ISBN:
(数字)9798350351507
ISBN:
(纸本)9798350363067
This innovative practice paper describes the authors' experiences introducing active learning methodologies into a hybrid undergraduate software engineering project course. On our campus hybrid courses have both in-person and online students participating in a single course taught by the same instructor. The project team adapted the face-to-face class activities to accommodate the idiosyncrasies of an online course delivery environment. Using active learning and authentic assessment techniques, the authors sought to improve the levels of engagement exhibited by online students. The students in this course learn to use agile software engineering practices to deliver incremental software prototypes. The online and in-person students were surveyed at the conclusion of their course to measure their perceived levels of engagement with course activities. Data was collected from two recent offerings of this course. The results suggest that the neither the in-person or online students were not significantly different from one another on most survey responses or most performance measures.
This work focuses on the development of a mathematical model of the thermal protection system, in which the fractional Caputo derivative is used for the first time in one of the layers of the model. So far, no studies...
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One of the main advantages of the traditional instructor/student interaction is the possibility of receiving immediate instructional feedback within the defined lecture periods. However, the transition into full onlin...
One of the main advantages of the traditional instructor/student interaction is the possibility of receiving immediate instructional feedback within the defined lecture periods. However, the transition into full online, and hybrid pedagogy has gradually replaced instructional feedback with peer feedback. While essential for knowledge transfer among learners, peer feedback largely depends on prior knowledge from learning engagements that may not fully be related to the particular course in question. What we have observed in our learning management system is lots of unnecessarily repeated errors which could easily be averted with the right instruction. To this end, we employed optical image recognition to extract structured query language-based keywords from lecture slides and exercise sheets. Using these keywords, we automatically rank the degree to which a lecture slide suitable matches an exercise task, and thus provide an automatic recommendation to students encountering errors in respective tasks during exercise task engagements. Overall, we achieved a precision of 0.707 for German lecture slides and 0.72 for English lecture slides, which validates our strategy of assisting students with automatic lecture slide recommendations during their online exercise engagements.
This paper presents a qualitative empirical study that seeks to delve into and illuminate the mindset barriers confronted by software developers that hinder the acceptance and use of software modeling techniques. Alth...
This paper presents a qualitative empirical study that seeks to delve into and illuminate the mindset barriers confronted by software developers that hinder the acceptance and use of software modeling techniques. Although software modeling provides acknowledged advantages, such as improving quality, facilitating superior comprehension of system behavior, and enhancing stakeholder communication, it remains significantly underutilized among developers. The primary objective of this research is to understand these barriers not as a result of just technological challenges, but rather as deeply-rooted mindset barriers entrenched within the developer community. Utilizing a grounded theory approach, we conducted extensive interviews with a broad range of developers from various backgrounds. The data were analyzed to identify common themes and patterns. The findings provide insights into the developers' perspectives, revealing key mindset barriers such as tooling and support concerns, challenges posed by modern work paradigms, behavioral resistance, lack of perceived value, knowledge deficiency and skill deficiency. The results of this study serve as a stepping stone towards developing strategies to overcome these mindset barriers, with the aim of fostering a wider acceptance of software modeling techniques. The study contributes to our understanding of the human factors at play in the broader software engineering field.
In the wake of the 2024 US presidential election, pundits on both the left and the right pointed to a conservative backlash against "woke politics" to explain the election’s outcome. These politics, rooted ...
The performance of music source separation (MSS) has been greatly improved in recent years due to the rapid development of various neural network architectures. Spectrogram features are widely used in MSS tasks which ...
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Depression is a global burden and one of the most challenging mental health conditions to control. Using the BDI questionnaire, experts can detect its severity early, administer appropriate medication to patients, and...
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Background - Physiological tremor is defined as an involuntary and rhythmic shaking. Tremor of the hand is a key symptom of multiple neurological diseases, and its frequency and amplitude differs according to both dis...
Background - Physiological tremor is defined as an involuntary and rhythmic shaking. Tremor of the hand is a key symptom of multiple neurological diseases, and its frequency and amplitude differs according to both disease type and disease progression. In routine clinical practice, tremor frequency and amplitude are assessed by expert rating using a 0 to 4 integer scale. Such ratings are subjective and have poor inter-rater reliability. There is thus a clinical need for a practical and accurate method for objectively assessing hand *** - to develop a proof-of-principle method to measure hand tremor amplitude from smartphone *** - We created a computer vision pipeline that automatically extracts salient points on the hand and produces a 1-D time series of movement due to tremor, in pixels. Using the smartphones’ depth measurement, we convert this measure into real distance units. We assessed the accuracy of the method using 60 videos of simulated tremor of different amplitudes from two healthy adults. Videos were taken at distances of 50, 75 and 100 cm between hand and camera. The participants had skin tone II and VI on the Fitzpatrick scale. We compared our method to a gold-standard measurement from a slide rule. Bland-Altman methods agreement analysis indicated a bias of 0.04 cm and 95% limits of agreement from -1.27 to 1.20 cm. Furthermore, we qualitatively observed that the method was robust to limited *** relevance - We have demonstrated how tremor amplitude can be measured from smartphone videos. In conjunction with tremor frequency, this approach could be used to help diagnose and monitor neurological diseases.
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