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198 results on '"Chang, Hao‐Yuan"'

1. Higher derivative couplings of hypermultiplets

Author

Chang, Hao-Yuan, Sezgin, Ergin, and Tanii, Yoshiaki

Subjects
High Energy Physics - Theory
Abstract

We construct the four-derivative supersymmetric extension of $(1,0), 6D$ supergravity coupled to Yang-Mills and hypermultiplets. The hypermultiplet scalars are taken to parametrize the quaternionic projective space $Hp(n)=Sp(n,1)/Sp(n)\times Sp(1)_R$. The hyperscalar kinetic term is not deformed, and the quaternionic K\"ahler structure and symmetries of $Hp(n)$ are preserved. The result is a three parameter Lagrangian supersymmetric up to first order in these parameters. Considering the case of $Hp(1)$ we compare our result with that obtained from the compactification of $10D$ heterotic supergravity on four-torus, consistently truncated to $N=(1,0)$, in which the hyperscalars parametrize $SO(4,1)/SO(4)$. We find that depending on how $Sp(1) \subset Sp(1,1)$ is embedded in $SO(4)$, the results agree for a specific value of the parameter that governs the higher derivative hypermultiplet couplings., Comment: 29 pages

Published
2023
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2. Dualization of Higher Derivative Heterotic Supergravities in $6D$ and $10D$

Author

Chang, Hao-Yuan, Sezgin, Ergin, and Tanii, Yoshiaki

Subjects
High Energy Physics - Theory
Abstract

There exist two four-derivative extensions of $N=(1,0)$ supergravity in six dimensions. A particular combination of them is known to dualize to the analog of the the Bergshoeff-de Roo (BdR) action in $10D$. Here we first show that the two extensions are not related to each other by any field redefinitions. Next, we dualize them separately thereby obtaining a two parameter dual theory. This is done directly at the level of the action, thus avoiding the laborious method of integrating equations of motion of the dualized theory into an action. To explore whether a similar phenomenon exists in $10D$, we study the dualization of the BdR action in $10D$ in detail. We find an obstacle in the separation of the result into a sum of two independent invariants because of the presence of terms which do not lift from $6D$ to $10D$. We also compare the dual of the BdR action with an existing result obtained in superspace. We find that the bosonic actions agree modulo field redefinitions., Comment: 33 pages

Published
2022
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3. Dimensional reduction of higher derivative heterotic supergravity

Author

Chang, Hao-Yuan, Sezgin, Ergin, and Tanii, Yoshiaki

Subjects
High Energy Physics - Theory
Abstract

Higher derivative couplings of hypermultiplets to $6D, N=(1,0)$ supergravity are obtained from dimensional reduction of 10D heterotic supergravity that includes order $\alpha'$ higher derivative corrections. Reduction on $T^4$ is followed by a consistent truncation. In the resulting action the hyperscalar fields parametrize the coset $SO(4,4)/(SO(4)\times SO(4))$. While the $SO(4,4)$ symmetry is ensured by Sen's construction based on string field theory, its emergence at the field theory level is a nontrivial phenomenon. A number of field redefinitions in the hypermultiplet sector are required to remove several terms that break the $SO(4)\times SO(4)$ down to its $SO(4)$ diagonal subgroup in the action and the supersymmetry transformation rules. Working with the Lorentz Chern-Simons term modified 3-form field strength, where the spin connection has the 3-form field strength as torsion, is shown to simplify considerably the dimensional reduction., Comment: 40 pages. References added, appendices improved and typos corrected

Published
2021
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4. Deep Unitary Convolutional Neural Networks

Author

Chang, Hao-Yuan and Wang, Kang L.

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Deep neural networks can suffer from the exploding and vanishing activation problem, in which the networks fail to train properly because the neural signals either amplify or attenuate across the layers and become saturated. While other normalization methods aim to fix the stated problem, most of them have inference speed penalties in those applications that require running averages of the neural activations. Here we extend the unitary framework based on Lie algebra to neural networks of any dimensionalities, overcoming the major constraints of the prior arts that limit synaptic weights to be square matrices. Our proposed unitary convolutional neural networks deliver up to 32% faster inference speeds and up to 50% reduction in permanent hard disk space while maintaining competitive prediction accuracy.

Published
2021

5. A Projection Algorithm for the Unitary Weights

Author

Chang, Hao-Yuan

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Unitary neural networks are promising alternatives for solving the exploding and vanishing activation/gradient problem without the need for explicit normalization that reduces the inference speed. However, they often require longer training time due to the additional unitary constraints on their weight matrices. Here we show a novel algorithm using a backpropagation technique with Lie algebra for computing approximated unitary weights from their pre-trained, non-unitary counterparts. The unitary networks initialized with these approximations can reach the desired accuracies much faster, mitigating their training time penalties while maintaining inference speedups. Our approach will be instrumental in the adaptation of unitary networks, especially for those neural architectures where pre-trained weights are freely available.

Published
2021

9. Transforming outcome expectations into retention among hospital nurses: A cross‐sectional study.

Author

Huang, Tzu‐Ling, Chang, Hao‐Yuan, Huang, Min, Wong, Alice May‐Kuen, Yu, Wen‐Pin, Cheng, T. C. E., and Teng, Ching‐I

Abstract

Aim Design Methods Results Conclusion Implications for the Profession Impact Reporting Method Patient or Public Contribution To examine the main effects and interaction effects of outcome expectations (e.g., anticipated satisfactory salary and benefits), nurse identity (a sense of membership in the nursing profession), and information‐access efficiency of the electronic medical record system (how the system enables nurses to quickly retrieve the needed information) on nurses' retention.This study uses a cross‐sectional survey and adopts proportionate random sampling to recruit a representative sample of nurses of a medical centre in Taiwan.This study successfully obtained completed questionnaires from 430 nurses during December 2021 to January 2022. Data are analysed by using hierarchical regressions.Positive outcome expectations and identification as a member in the nursing profession are associated with retention. Information‐access efficiency strengthens the link between outcome expectations and retention, while nurse identity weakens this link.Outcome expectations can help retain nurses, particularly those who perceive high levels of information‐access efficiency and possess weak nurse identity. That is, outcome expectations have a complementary role with nurse identity in retaining nurses.Nurse managers should devise means to build positive outcome expectations for nurses. In addition, either strengthening nurses' identification with the nursing profession or improving the information‐access efficiency of the electronic medical system may also help retain nurses.This study examined how to transform outcome expectation to nurse retention, offering nurse managers to devise new means to retain nurses.STROBE statement was chosen as EQUATOR checklist.No patient or public contribution. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Unitary Neural Networks

Author

Chang, Hao-Yuan

Subjects
Artificial intelligence, Computer science, Quantum physics, Artificial Intelligence, Lie Group, Machine Learning, Natural Language Processing, Neural Networks, Quantum Computing
Abstract

This doctoral dissertation is a comprehensive study on a novel method based on unitary synaptic weights to construct intrinsically stable neural systems. By eliminating the need to normalize neural activations, unitary neural networks deliver faster inference speeds and smaller model sizes while maintaining competitive accuracies for image recognition. In addition, unitary networks are drastically more robust against adversarial attacks in natural language processing systems because unitary weights are resilient to small input perturbations. The last portion focuses on a small demo that implements unitary neural nets in quantum computing. With the comprehensive performance evaluation in classical machine learning, the rigorous framework in mathematics, and the exploration of quantum computing, this dissertation establishes a solid foundation for unitary neural networks in the future of deep learning.

Published
2022

16. Professional engagement: Connecting self‐efficacy to actual turnover among hospital nurses.

Author

Chang, Hao‐Yuan, Lee, I‐Chen, Tai, Shih‐I, Ng, Nga Yan, Shiau, Wen‐Lung, Yu, Wen‐Pin, Cheng, T. C. E., and Teng, Ching‐I

Subjects
*RESEARCH, *STRUCTURAL equation modeling, *SELF-efficacy, *LABOR turnover, *HOSPITAL nursing staff, *RESEARCH funding, *DESCRIPTIVE statistics, *HYPOTHESIS, *INTENTION, *PROFESSIONALISM, *STATISTICAL sampling, *STATISTICAL correlation, *LONGITUDINAL method
Abstract

Aims: To examine how nurses' self‐efficacy impacts professional engagement (professional opportunities exploration and workplace improvement participation), nurses' turnover intention and further on actual turnover. Background: The problem of nursing shortage has become a common global issue. Nurses' self‐efficacy could reduce nurses' turnover intention. However, whether professional engagement could connect nurses' self‐efficacy and their actual turnover remains unknown. Design: This study adopts a three‐wave follow‐up design. Methods: This study uses proportionate random sampling to survey nurses in a large medical centre in Taiwan. Totally, 417 participants were enrolled from December 2021 to January 2022 (first wave) and followed up from February 2022 to March 2022 (second wave). The data of nurses' actual turnover (or not) were traced in May 2022 (third wave). STROBE statement was chosen as the EQUATOR checklist. Results: Self‐efficacy was positively linked to outcome expectation, which is positively linked to professional opportunities exploration. Self‐efficacy was positively linked to career interest and workplace improvement participation. Professional engagement was negatively linked to nurses' intention to leave the target hospital, which was positively linked to actual turnover. Conclusion: This study uniquely finds that professional engagement is the key to the mechanism underlying the influence of nurse' self‐efficacy on their actual turnover. Impact: Our findings impact nursing management that professional engagement is as well important as nurses' self‐efficacy, with an aim to maintain the professional nursing workforce. Patient or Public Contribution: Nurses complete the questionnaires, return them to the investigators and permit investigators to check their personnel data. [ABSTRACT FROM AUTHOR]

Published
2023
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34. Fatigue Life Analysis of Cantilever Probe on Wafer Test

Author

Hsiao Te-Ching, Chang Hao-Yuan, and Huang Shyh-Chour

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

This research utilizes the finite element analysis software (ANSYS) to stimulate the different probe material quality (tungsten, SUS304 stainless steel, SUS316L stainless steel and SKD11 tool steel, respectively) during wafer tests. Under a room temperature of (25°C), the stress and fatigue life (cycles of probing test) of the cantilever probe were measured with an OverDriver (OD) of 20µm, 40µm, 50µm, 60µm and 80µm, respectively. First, to obtain the magnitude of pinpoint shift of the probe under wafer test and the OverDriver is 50µm. And, calculate the fatigue life of the probe. Then, a probe model with the same characteristics as the experiment is created and the probe fatigue life analyzed with the ANSYS. After the reliability of the model is ascertained, the wafer tests of different probe materials are stimulated under different OverDriver circumstances to calculate its stress and fatigue life. The results indicate that the greatest stress measured during the wafer test of the tungsten, SUS304 stainless steel, SUS316L stainless steel and SKD11 tool steel cantilever probe are all smaller than the yield strength, and the fatigue life could reach over one hundred K cycles. When catalogued by the cantilever probe fatigue life during one hundred K cycles, the life span, in order, is tungsten < SUS316L stainless steel < SUS304 stainless steel < SKD11 tool steel.

Published
2016
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35. MOESM1 of Implementation of human factors engineering approach to improve environmental cleaning and disinfection in a medical center

Author

I-Chen Hung, Chang, Hao-Yuan, Aristine Cheng, Chen, Mei-Wen, Chen, An-Chi, Ting, Ling, Yeur-Hur Lai, Jann-Tay Wang, Yee-Chun Chen, and Wang-Huei Sheng

Subjects
genetic structures, sense organs
Abstract

Additional file 1. The regular method of bleach dilution. The bleach was diluted with cold water using the uniform containers by the environmental service workers.

Published
2020
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36. Self-organized Criticality and Its CMOS Implementation

Author

Chang, Hao-Yuan

Subjects
Electrical engineering, chaos, Chua oscillator, CMOS, dynamical system, Fokker-Planck, Self-organized criticality
Abstract

Self-organized criticality is a ubiquitous phenomenon that appears in many complex dynamical systems. During this special phase, the system experiences long-range correlation in space and in time. In order to understand its origin, we developed a method that can predict whether or not a stochastic dynamical system will be chaotic. We hypothesize that self-organized criticality and chaos originate from breaking the supersymmetries of the complex dynamical systems; therefore, the eigenvalue spectrum for the Fokker-Planck Hamiltonian should have pairs of complex eigenvalues on its imaginary axis. By applying the Fokker-Planck equation to the Chua oscillator, we show that the eigenvalues move closer to the imaginary axis as the system becomes chaotic. Also, we built a self-organized critical circuit using CMOS transistors. The circuit exhibits "avalanche" behaviors, in which groups of oscillators become out of synchronization together. The avalanche statistics show power laws in both avalanche size and inter-avalanche time.

Published
2013

42. Influence of personality on care quality of hospital nurses

Author

Teng, Ching-I, Hsu, Kuang-Hung, Chien, Ruey-Cherng, and Chang, Hao-Yuan

Subjects
Nurses -- Practice, Nurses -- Social aspects, Personality -- Influence, Medical care -- Quality management, Medical care -- Evaluation, Patients -- Care and treatment, Patients -- Evaluation, Health
Published
2007

50. How do career barriers and supports impact nurse professional commitment and professional turnover intention?

Author

Chang, Hao‐Yuan, Chu, Tsung‐Lan, Liao, Yen‐Ni, Chang, Yin‐Tzu, and Teng, Ching‐I

Subjects
*VOCATIONAL guidance, *CHI-squared test, *COMMITMENT (Psychology), *STATISTICAL correlation, *EMPLOYMENT discrimination, *FACTOR analysis, *HOSPITALS, *HOSPITAL medical staff, *INTENTION, *LABOR turnover, *MEDICAL quality control, *NURSE administrators, *NURSE practitioners, *NURSES, *NURSES' attitudes, *NURSING, *PHILOSOPHY of nursing, *NURSING services administration, *NURSING students, *PROFESSIONAL employee training, *PSYCHOMETRICS, *STATISTICAL sampling, *STATISTICAL hypothesis testing, *EMPLOYEES' workload, *SOCIAL capital, *OCCUPATIONAL roles, *LEADERS, *STRUCTURAL equation modeling, *RELATIVE medical risk, *CROSS-sectional method, *DATA analysis software, *DESCRIPTIVE statistics, *PSYCHOLOGY
Abstract

Aims: This study examines how career barriers and supports (i.e., perceived discrimination, lack of advancement, human capital, and social capital) impact affective, normative, and continuance aspects of professional commitment and thus nurses' professional turnover intention. Background: Professional commitment is known to influence professional turnover intention. However, little is known about how career barriers and supports contribute to professional commitment and reduce professional turnover intention. Methods: This study adopted a cross‐sectional design and a survey to collect representative data in a major hospital in northern Taiwan. We used proportionate random sampling to ensure sample representativeness and obtained 524 responses. Results: Perceived discrimination and lack of advancement were negatively related to affective professional commitment. Human capital was positively related to affective, normative, and continuance professional commitment. Social capital was positively related to normative professional commitment. All aspects of professional commitment were negatively related to professional turnover intention. Conclusion: Career barriers and supports have an important influence on professional commitment. Reduced barriers and enhanced support may therefore help reduce nurses' professional turnover intentions. Implications for Nursing Management.: Nursing managers could aim to lessen career barriers while increasing career support for nurses, helping strengthen nurses' professional commitment and retention. [ABSTRACT FROM AUTHOR]

Published
2019
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