The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. https://scholars.ntou.edu.tw:443 2026-08-14T16:34:40Z 2026-08-14T16:34:40Z Li, Shih-Yu Wu, Shih-Ping Tam, Lap-Mou Cheng, Shyi-Chyi http://scholars.ntou.edu.tw/handle/123456789/26807 2026-08-10T03:12:22Z 2026-01-01T00:00:00Z

Title: Remaining Useful Life Prediction of Turbo Engine Based on CNN-BiLSTM Model With Feature Enhancement Approaches Authors: Li, Shih-Yu; Wu, Shih-Ping; Tam, Lap-Mou; Cheng, Shyi-Chyi Abstract: This article proposes a novel method for predicting the remaining useful life (RUL) of turbine engines by integrating convolutional neural networks (CNNs) and bidirectional long short-term memory (BiLSTM) frameworks with chaotic mapping (CM) and fractional-order (FO) filters (called CBCF). The method follows a sequence of CM, FO filter, CNN, and BiLSTM. CM is used for preprocessing to extract meaningful features from engine data, while the FO filter enhances image details produced by CM, contributing to more accurate RUL predictions. The enhanced images are then used as inputs to the CNN-BiLSTM model. CNN is employed to automatically extract and learn hierarchical features from the engine data through convolutional layers, capturing spatial patterns and local dependencies for more effective feature representation. BiLSTM is then used to process the time-sequenced data, integrating forward and backward network information to capture both past and future dependencies, thereby improving prediction accuracy. The commercial modular aero-propulsion system simulation (C-MAPSS) dataset, which is a benchmark dataset in this field, is utilized to evaluate the feasibility and effectiveness of the proposed method. The C-MAPSS dataset provides comprehensive data on engine degradation and has been widely used for validating RUL prediction models. Experimental results show that the integration of CM and FO filters with the CNN-BiLSTM model enhances performance, significantly reducing the root-mean-square error (RMSE) and demonstrating the potential of this approach for accurate RUL predictions.

2026-01-01T00:00:00Z Chung, Chih-Ching Liu, Sian-Tai Horng, Jiun-Lin Chou, Ming-Yi http://scholars.ntou.edu.tw/handle/123456789/26809 2026-08-10T03:12:22Z 2026-01-01T00:00:00Z

Title: Preferential impairment of later mating stages and sex-dependent metabolic shifts in Japanese medaka exposed to acute acidification Authors: Chung, Chih-Ching; Liu, Sian-Tai; Horng, Jiun-Lin; Chou, Ming-Yi Abstract: Environmental acidification poses a significant threat to aquatic organisms, yet the underlying mechanisms of how acid stress disrupts complex social and reproductive behaviors remain incompletely understood. In the present study, we investigated the behavioral and physiological responses of adult Japanese medaka (Oryzias latipes) under acute acid exposure (pH 4.5, 24 h). Our results showed that acute acid stress reduced mating success, with a stronger impairment observed in the transition to the crossing stage and subsequent spawning, while the earlier, male-driven stages of following and courtship were relatively less affected under the present experimental conditions. This reproductive impairment did not coincide with detectable changes in generalized emotional-like behavior. Fish showed normal performance in the novel tank test and maintained territorial aggression. Physiologically, we observed a clear sexual dimorphism. Under acid stress, males maintained relatively stable MOB and JAmm, whereas females showed elevated MOB and JAmm. These findings suggest that reproductive impairment may be more pronounced in energetically demanding mating stages and may be associated with sex-dependent physiological strain. We further propose that the increased metabolic cost of acidbase regulation in females could shift energy allocation, and that high-cost coordination behaviors may be reduced in order to maintain short-term survival. This study provides evidence linking bioenergetics, acid-base regulation, and reproductive behavior in a teleost model under acidification.

2026-01-01T00:00:00Z Hsieh, Meng-Chang Chuang, Wei-Liang Lin, Ting-Chieh http://scholars.ntou.edu.tw/handle/123456789/26808 2026-08-10T03:12:22Z 2026-01-01T00:00:00Z

Title: Greenwater due to plunging breaking wave impingement on a deck structure. Part 2: Impact pressure and air fraction Authors: Hsieh, Meng-Chang; Chuang, Wei-Liang; Lin, Ting-Chieh Abstract: Greenwater generated by plunging wave breakers can impose impulsive and highly localized loads on deck structures, yet the influence of entrained air remains insufficiently quantified because pressure and air fraction are rarely measured at nearly co-located positions. Extending the work of Chuang et al. (2023, Ocean Engineering, 287, 115859), this study simultaneously measures impact pressure and local air fraction on a rigid horizontal deck using a 40-point grid of flush-mounted pressure transducers and fiber-optic reflectometers. Two plunging-wave conditions representing near-edge and more inboard impacts were each repeated 30 times. Incident-wave repeatability and bootstrap convergence analyses were used to assess the adequacy of local ensemble means. Results show a narrow primary pressure peak when the water-rich plunging tongue reaches the deck, followed in some cases by delayed reloading associated with deformation and collapse of entrapped air cavities. The maximum ensemble-averaged pressure reached 15.58 kPa at X50-Z60 under the inboard-impact condition. Air-fraction measurements indicate rapid wetting near the lower probes and intermittent aeration near the upper probes. Higher local air fraction was associated with lower normalized peak pressure under the tested conditions, although the weak correlations and the influence of impact velocity and morphology preclude an isolated causal interpretation.

2026-01-01T00:00:00Z Rethi, Lekshmi Chau, Hoa Duc Febriani, Erlina Chen, Yan-Ting Tung, Szu-Yu Jheng, Pei-Ru Tseng, Yu-Wen Li, Rou Tsai, Min-Lang Chang, Chun-Chi Pham, Van Khiet Nguyen, Hieu Trung Chuang, Andrew E. -Y. http://scholars.ntou.edu.tw/handle/123456789/26803 2026-08-10T03:12:21Z 2026-01-01T00:00:00Z

Title: Plasma-engineered chitosan couples red-light bioenergetics to diabetic wound regeneration through programmable microenvironments Authors: Rethi, Lekshmi; Chau, Hoa Duc; Febriani, Erlina; Chen, Yan-Ting; Tung, Szu-Yu; Jheng, Pei-Ru; Tseng, Yu-Wen; Li, Rou; Tsai, Min-Lang; Chang, Chun-Chi; Pham, Van Khiet; Nguyen, Hieu Trung; Chuang, Andrew E. -Y. Abstract: Diabetic wounds remain trapped in a non-healing loop driven by oxidative stress, impaired bioenergetics, and persistent inflammation. Here, we report a cold atmospheric plasma (CAP)-engineered chitosan-microalgae (CS-CHL) photobioactive dressing that converts a carbohydrate matrix into a programmable photosynthetic interface for wearable 660-nm activation. CAP remodeled the CS microenvironment in a duration-dependent manner, as verified by FTIR/XRD/NMR, and yielded a distinct optimum at 30 s with the most favorable polymer reorganization and coupling to CHL. This just-right" window tuned photochemical branching under red light showing the strongest oxygen-sensitive response as reflected by the lowest O-2 quenching index (similar to 66.3% indicating the greatest probe quenching and thus higher O-2 availability) while simultaneously enhancing reductive bioenergetic outputs including hydrogen production (similar to 117.6%) and MPP-Production (similar to 116.4%) accompanied by the strongest light-responsive electrochemical signal. In an STZ-induced diabetic full-thickness wound model CS-CHL + 660 nm accelerated macroscopic wound closure versus wound-only and CS controls while systemic hematological indices remained comparable across groups. Mechanistic tissue profiling further supported coordinated inflammation suppression angiogenic/regenerative recovery ROS reduction mitochondrial functional restoration and activation of mitophagy/autophagy-associated pathways. Collectively CAP-tuned carbohydrate microenvironments provide a powerful route to program microalgal photobioenergetics and enable light-assisted diabetic wound repair."

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