3,532 research outputs found
Snowflakes Fantasy Percussion Part | 20-95761
No full textSnowflakes Fantasy
Part Number: 20-95760
Price: $5.50
Voicing: Percussion Parts
Music By: Hyun Kook
Edited By: Henry Leck Triangle and Bell Treehttps://digitalcommons.butler.edu/jca_scores/1542/thumbnail.jp
Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data
No full textBackground: Arterial pressure-based cardiac output (APCO) is a less invasive method for estimating cardiac output without concerns about complications from the pulmonary artery catheter (PAC). However, inaccuracies of currently available APCO devices have been reported. Improvements to the algorithm by researchers are impossible, as only a subset of the algorithm has been released. Objective: In this study, an open-source algorithm was developed and validated using a convolutional neural network and a transfer learning technique. Methods: A retrospective study was performed using data from a prospective cohort registry of intraoperative bio-signal data from a university hospital. The convolutional neural network model was trained using the arterial pressure waveform as input and the stroke volume (SV) value as the output. The model parameters were pretrained using the SV values from a commercial APCO device (Vigileo or EV1000 with the FloTrac algorithm) and adjusted with a transfer learning technique using SV values from the PAC. The performance of the model was evaluated using absolute error for the PAC on the testing dataset from separate periods. Finally, we compared the performance of the deep learning model and the FloTrac with the SV values from the PAC. Results: A total of 2057 surgical cases (1958 training and 99 testing cases) were used in the registry. In the deep learning model, the absolute errors of SV were 14.5 (SD 13.4) mL (10.2 [SD 8.4] mL in cardiac surgery and 17.4 [SD 15.3] mL in liver transplantation). Compared with FloTrac, the absolute errors of the deep learning model were significantly smaller (16.5 [SD 15.4] and 18.3 [SD 15.1], P<.001). Conclusions: The deep learning-based APCO algorithm showed better performance than the commercial APCO device. Further improvement of the algorithm developed in this study may be helpful for estimating cardiac output accurately in clinical practice and optimizing high-risk patient care. © Hyun-Lim Yang, Chul-Woo Jung, Seong Mi Yang, Min-Soo Kim, Sungho Shim, Kook Hyun Lee, Hyung-Chul Lee. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 16.08.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.TRU
Implementation and Control of a Bistable Two-Wheeled Inverted Pendulum-Type Mobile Robot
No full textIn the past decade, there have been a lot of researches on various models and controllers for two-wheeled inverted pendulum-type mobile robots. Two-wheeled inverted pendulum-type mobile robots are suitable for the service robots working both in the indoor and outdoor environments. In this paper, a bistable two-wheeled mobile robot which can tilt up and down (B-TMR) is designed and implemented. The B-TMR remedies the weak points of two-wheeled inverted pendulum-type mobile robots. The robot body is designed to maintain balancing state and tilted state. Cost efficiency is improved by using a single accelerometer with a Butterworth filter in order to measure inclined angle. To control five motion modes (Mode 1-Balancing; Mode 2-Tilt Up; Mode 3-Tilt Down; Mode 4-Tilted Move; Mode 5 - Balancing Move), a mode-selective controller is proposed. Through various experiments, the proposed hardware and controller are validated
Creating spatial visualizations using fine-tuned interior design style models informed by user preferences
No full textThis study examines the automated creation of spatial visualizations for interior design, emphasizing user preferences over precision. Recognizing design as a reflection of personal identity, we utilize domain-specific, image-fine-tuned AI models to capture the qualitative aspects of various design styles. In interior architecture, design styles are often categorized by shared visual features-like material use, color combinations, and furniture arrangement-based on tacit consensus rather than explicit data. These features significantly impact both the aesthetic and functional aspects of spaces, influenced by historical, cultural, and personal factors. We advanced the field with a text-to-image model that translates descriptive text into visual representations. An extensive evaluation of the default model was conducted, generating over 15,000 images across 25 design styles, which informed the subsequent integration of detailed design knowledge into the model's training. The refinement process included data preparation, textual alignment with image content, and hyperparameter optimization to develop fine-tuned models. Implemented across multiple scenarios, this approach proved successful in combining the nuanced models with the default, creating images that align with user-defined styles. This methodology serves as a tool for generating spatial visualizations that align with user requirements, providing a range of styles that cater to diverse preferences. It highlights the potential of AI in enhancing design visualization and the shift towards personalized, user-centric design solutions.
Behavior of circular CFT columns subject to axial force and bending moment
No full textThe major objective of this paper is to evaluate the behavior and ultimate resisting capacity of circular CFT columns. To consider the confinement effect, proper material models with respect to the confinement pressure are selected. A fiber section approach is adopted to simulate the nonlinear stress distribution along the section depth. Material nonlinearity due to the cracking of concrete and the yielding of the surrounding steel tube, as well as geometric nonlinearity due to the P-Delta effect, are taken into account. The validity of the proposed numerical analysis model is established by comparing the analytical predictions with the results from previous experimental studies about pure bending and eccentric axial loading. Numerical predictions using an unconfined material model were also compared to investigate the confinement effects on various loading combinations. The ultimate resisting capacities predicted by the proposed numerical model and the design guidelines in Eurocode 4 are compared to evaluate the existing design recommendation
Development of Alzheimer's disease biomarker using Aβ* 56 soluble oligomer in human nasal secretions
No full textBackground: Although soluble Aβ oligomer (AβO) might play a pivotal role in pathogenesis of Alzheimer's disease (AD), development of biomarker using detection of AβO might be limited due to its structural heterogeneity. Recently, we found the 56kDa soluble Aβ*56(Aβ*56) which is known to be involved in a very early sate of AD in human nasal secretion. The aim of this study is to explore diagnostic validity of Aβ*56 in nasal secretions in discriminating AD pathology.
Method: A total of 28 patients (normal control (NC) = 9, amnestic mild cognitive impairment (aMCI) = 10, and AD = 9) were included in the study. They were dichotomized using 18F-Flutemetamol amyloid positron emission tomography (PET) into with and without detectable amyloid burden. Level of Aβ*56 in nasal secretions were measured using immune blotting. Group differences in nasal Aβ*56 level were analyzed and correlation between nasal Aβ*56 level and mean standardized uptake value ratio were also conducted.
Result: There were no group differences in age, gender, and education. The nasal Aβ*56 level were significantly higher in aMCI and AD than NC group, but no group differences were found between aMCI and dementia. The nasal Aβ*56 level also had a positive correlation with cortical Aβ deposition on 18F-Flutemetamol PET.
Conclusion: These results demonstrate that the nasal Aβ*56 level can be easily measured, and it may be utilized as a biomarker for the diagnosis of early AD including aMCI. The study also suggests that nasal Aβ*56 level may predict cortical deposition of Aβ.1
Photodissociation Dynamics of C6F5Br at 234 nm: Fluorination Effects on Br/Br Formation Pathways
No full textThe impact of cultural events on the cinema and tourism in a community, BusanBusan's alternative industry to the cinema and tourism industry after the Pusan International Film Festival (PIFF)
No full textPlan BAn event is the most exciting and fastest growing industry related to leisure. Events can be viewed as part of the new wave of alternative tourism. This is the reason that tourism organizations in many countries actively promote events. An event induces tourists to participate. It makes them stay longer in the area which has held the event. An event generates jobs for the residents. The residents would need to develop an infrastructure to provide the many needed facilities. This study researched the economic impact of the Pusan International Film Festival (PIFF) on the tourism and cinema industry in Busan, South Korea. The festival was developed with attractive characteristics as a cultural event. The finding of this study supports the positive economic impact, development of the cinema and tourism industries, and the attitude of residents before and after PIFF in Busan. Key words: event, special event, festival, event tourism, culture, infrastructure. Busan*, Pusan International Film Festival (PIFF)** ( */** Today Busan officially uses ‘B’ for Busan.. However PIFF was launched in 1996 before Busan decided their English spelling for the name. PIFF uses ‘P’ for Busan. In this study Busan and Pusan are the same city.
Effect of fentanyl-based intravenous patient-controlled analgesia with and without basal infusion on postoperative opioid consumption and opioid-related side effects: A retrospective cohort study
No full textPurpose: We aimed to investigate the effect of a basal opioid infusion in fentanyl-based intravenous patient-controlled analgesia (IV-PCA) on postoperative opioid consumption, pain intensity, and occurrence of opioid-related side effects. Patients and Methods: We retrospectively reviewed 2097 consecutive patients who received IV-PCA after elective general, thoracic, urologic, and plastic surgery under general anesthesia between June 2019 and October 2019. The patients were divided into two groups: IV-PCA with basal infusion (basal group) and IV-PCA without basal infusion (no basal group). We performed a propensity score matching (PSM) analysis to adjust for baseline differences between both groups. We compared the fentanyl PCA consumption (mcg), pain intensity, rescue analgesic administration, and occurrence of opioid-related side effects (nausea, vomiting, somnolence or dizziness, and overall side effects) during the first 48 hours postoperatively between the two groups before and after PSM. Results: We analyzed 1317 eligible patients. Of these, 757 (57.5%) patients received IVPCA without basal infusion. The PSM of the total cohort yielded 539 pairs of cases. After PSM, the fentanyl PCA consumption was significantly lower in the no basal group at 48 hours postoperatively as compared to the basal group (at 24 hours, the median difference: -80 mcg, P<0.001, 95% CI=-112 - -45 mcg; at 48 hours, the median difference: -286 mcg, P<0.001, 95% C1=-380 - -190 mcg), without significantly increasing pain intensity and administration of rescue analgesia. The occurrence of overall opioid-related side effects was also significantly lower in the no basal group (at 24 hours: 31.0% vs 23.0%, OR=0.67, P=0.003, 95% CI=0.51 - 0.87; at 48 hours: 18.9% vs 11.0%, OR=0.48, P<0.001, 95% CI=0.31 - 0.75). Conclusion: Basal infusion of fentanyl-based IV-PCA was significantly associated with an increase in fentanyl consumption and the occurrence of opioid-related side effects in postsurgical patients.Y
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