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Geo-EnvironMeet 2025: Geoenvironmental Contamination and Waste Containment

作者： Alam, Md. Khorshed Farid, Arvin Computing Ph.D. Program Boise State Univ. BoiseID United States Dept. of Civil Engineering Boise State Univ. BoiseID United States

ISBN: (数字)9780784485699

The term Per- and polyfluoroalkyl substances (PFAS) refer to a class of manmade very stable chemicals popular for their ability to withstand heat and moisture. Hence, they are used in manufacturing a variety of goods and firefighting aqueous film-forming foams (AFFF). The discharge of these chemicals into the soil occurs when they are introduced into the environment through various means, such as being used in firefighting foams and similar products or when they get deposited in landfills. In addition to some levels of adsorption to a solid phase, PFAS have a propensity to adhere to the water-air interface, due to surfactant-like nature. This adsorption to air-water interfaces can complicate PFAS transportation through the vadose zone. The persistent properties and potential health risks linked to PFAS provide formidable complexity. due to the widespread contamination of the environment caused by PFAS, scientists and environmental agencies are intensively studying the fate and flow of these chemicals within the soil environment. In this paper, two numerical models - groundwater seepage and PFAS transport - are developed to examine the impact of air-water interface adsorption on the transport of PFAS within soil's unsaturated (vadose) and saturated (groundwater) environments. For unsaturated soil and the coupled groundwater seepage and PFAS transport models, the degree of saturation is fed into the PFAS transport model from the seepage model;the results are shown through 2d snapshots at certain times that show the spatial distribution of PFAS concentration over time for the two inlet-outlet-combination scenarios. Highlighting the significant impact of air-water interface adsorption (caused by varying degrees of water saturation) on PFAS transport within the groundwater system, the coupled model emphasizes the essential importance of taking site-specific conditions and hydrogeological parameters into account when assessing the risks of PFAS contamination and devising

关键词： Seepage

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Machine-learning-based sampling inspection under OQC capacity for real-time quality monitoring in the TFT-LCd industry

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International Journal of Production Research 2025年第6期63卷 2090-2113页

作者： Shih, Ming-Sung Chen, James C. Chen, Tzu-Li Chiang, Chih-Hsiung Hsu, Ching-Lan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan Graduate Institute of Intelligent Manufacturing Technology National Taiwan University of Science and Technology Taipei Taiwan Division of Quality Control AUO Corporation Taichung Taiwan

In the thin film transistor-liquid crystal display (TFT-LCd) industry, the competition is fierce, and the external failure cost is high. To improve the quality of released products, sampling inspection under outgoing quality control (OQC) is conducted before products are released. Owing to the variety and complexity of inspection items, the task must be carried out manually while realising automation is difficult. Traditional random sampling inspection is limited by sampling quantity, manpower, and material resources. To effectively improve acceptable quality levels, this paper proposes a quality predictive monitoring framework tailored to the production and inspection characteristics of the TFT-LCd industry. This framework includes real-time automatic quality monitoring based on an optimal machine learning prediction model with two-phase feature creation, and it also addresses OQC inspection capacity constraints. Experimental results show the prediction performance based on proposed model is better than the traditional random sampling process. In practice, superior average outgoing quality improves by more than 70% at the same sampling level. In addition, the features of the process can be further controlled and managed based on the prediction model to monitor the key parameters in real time and respond to abnormalities quickly, thereby further improving the quality of released products. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Liquid crystal displays

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Eff-SAM: SAM-based Efficient Method for Brain Tumor Segmentation in Multimodal 3d MRI Scans

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IEEE Access 2025年 13卷 90063-90087页

作者： Ahmad, Nisar Chen, Yao-Tien Ming Chi University of Technology International Ph.D. Program in Innovative Technology of Biomedical Engineering Medical Devices New Taipei City243303 Taiwan

Accurate brain tumor segmentation in MRI scans is crucial for effective diagnosis and treatment planning, as even minor segmentation errors can lead to significant clinical concerns. However, this task is challenged by the complex anatomy of the brain, variable tumor shapes, and low contrast between tumor sub-regions. Moreover, existing methods often lack generalizability across diverse segmentation tasks and imaging modalities. Large Vision Model (LVM) like the Segment Anything Model (SAM) represents a foundational advancement in tumor segmentation. While SAM has shown impressive performance on natural images, its effectiveness in medical imaging, especially brain tumor segmentation, is limited due to domain differences and indistinct boundaries in MRI scans. To address these challenges, we propose Eff-SAM, a 3d brain tumor segmentation framework that adapts SAM for medical applications through Parameter-Efficient Fine-Tuning (PEFT) technique. The framework incorporates PEFT with adapters into SAM’s encoder to fine-tune the model effectively and optimize its performance for medical imaging while maintaining computational efficiency. Additionally, a Cross-Sliced Attention (CSA) mechanism captures semantic relationships, improves tumor localization, and is introduced into the encoder. Robust data preprocessing further enhances the model’s generalization across datasets. Eff-SAM demonstrates state-of-the-art performance and outperforms benchmark methods on the BraTS 2020 and BraTS 2021 datasets. It achieves dice scores of 0.884 for Whole Tumor (WT), 0.853 for Tumor Core (TC), and 0.818 for Enhancing Tumor (ET) on the BraTS 2020 dataset, and 0.880 (WT), 0.861 (TC), and 0.821 (ET) on the BraTS 2021 dataset. This work highlights the potential of integrating vision models like SAM with lightweight, domain-specific modules to deliver accurate and efficient brain tumor segmentation offering a clinically valuable tool, especially in scenarios with limited data and complex tu

关键词： Semantic Segmentation

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deep-Learning Approach for An Analysis of Real-estate Prices and Transactions

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IEEE Access 2025年 13卷 89248-89265页

作者： Yang, Cheng-Hong Lee, Borcy Lin, Yu-da Tainan University of Technology Department of Information Management Tainan Taiwan National Kaohsiung University of Science and Technology Department of Electronic Engineering Kaohsiung Taiwan Kaohsiung Medical University Ph.D. Program in Biomedical Engineering Kaohsiung Taiwan Kaohsiung Medical University School of Dentistry Kaohsiung Taiwan Kaohsiung Medical University Drug Development and Value Creation Research Center Kaohsiung Taiwan National Penghu University of Science and Technology Department of Computer Science and Information Engineering Penghu Taiwan

Research on the study of houses, condominiums and buildings in Taiwan’s metropolitan areas continues to be an important area of research. In real estate forecasting and analysis, methods such as statistical analysis and questionnaire data collection are widely used. However, when multidimensional data is considered, these methods are time-consuming and inadequate. This study aimed to build a real estate forecasting model that can adapt to a changing environment. data were collected from public government databases, the collected data were standardized for accurate clustering, an appropriate data clustering algorithm was applied to the standardized data, and cross-statistical analysis was performed to verify the adopted algorithm. We used a deep learning based on autoencoder algorithm to increase the accuracy of the clustering analysis. A double-bottom map particle swarm optimization (dBM-PSO) clustering algorithm was then used to determine the optimal clustering solution. Cluster analysis and deep learning were conducted on data collected from public websites to understand the factors that led to the sustained increase in housing prices in Taiwan over the past decade. The results of this study indicate that three key factors—the number of real estate transactions, the average unit price of real estate transactions, and the building material and construction index—significantly affected real estate prices in Taiwan. Our results could help researchers and governments to focus on specific aspects of real estate development without being influenced by other related factors. In addition, the relationships between real estate trends and the aforementioned three key factors were determined to obtain valuable information that can enable the Taiwanese government to regulate the property market and prevent excessive growth. The framework proposed in this paper allows researchers and governments to focus on specific aspects of real estate development without being influenced b

关键词： Houses

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High-Energy Lithium-Ion Capacitors Using the NiS2@MXene Electrode: Evidence of dual Faradaic Reactions driven by the Choice of Electrolytes

ACS Applied Engineering Materials

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ACS Applied engineering Materials 2025年第5期3卷 1277-1291页

作者： Keerthana dileep Pamangadan C. Sharafudeen Mani Govindasamy Pin-Yi Chen Perumal Elumalai Electrochemical Energy Storage Lab Department of Green Energy Technology Madanjeet School of Green Energy Technologies Pondicherry University Puducherry 605014 India International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 24301 Taiwan；Research Centre for Intelligence Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 24301 Taiwan；Department of Mechanical Engineering Ming Chi University of Technology New Taipei City 24301 Taiwan；Department of Mechanical Engineering Chang Gung University Taoyuan City 33302 Taiwan

Transition metal sulfides (TMSs) are emerging as promising supercapacitor electrodes due to their excellent pseudocapacitive properties and substantial theoretical charge density. The combination of TMS and layered MXene synergistically enhances the energy and power, making them ideal for advanced energy storage applications. Here, NiS2@MXene composites were successfully synthesized via a simple probe sonication, and their formation, morphology, and composition were scrutinized using materials characterization techniques. Electrochemical analyses of the NiS2@MXene electrode in the KOH electrolyte revealed the occurrence of a Faradaic reaction involving (Ni3+/Ni2+) redox. Consequently, lithium-ion capacitors (LICs) using the NiS2@MXene and reduced graphene oxide (rGO) as respective positive and negative electrodes in aqueous and different nonaqueous electrolytes were fabricated, and their performances were analyzed in the form of coin cells. It turned out that the aqueous LIC (NiS2@MXene|1 M LiClO4(aq.)|rGO) delivered a specific energy of 48.4 W h kg–1at a specific power of 800 W kg–1. Notably, the nonaqueous LIC (NiS2@MXene|1 M LiClO4(EC/dMC)|rGO) achieved an increased specific energy of 64 W h kg–1at a specific power of 1500 W kg–1and exhibited excellent capacity retention of 80% over 20,000 long cycles. Excitingly, the nonaqueous LIC (NiS2@MXene|1 M LiPF6(EC/dEC)|rGO) delivered a remarkable specific energy of 117.3 W h kg–1at a specific power of 2100 W kg–1and successfully powered a commercial LEd bulb and a stopwatch, showcasing the practicality of the electrode. The electrochemical measurements and the ex situ X-ray diffraction analyses confirmed the simultaneous occurrence of the conversion/reconversion and the intercalation/deintercalation reactions, facilitated on the electrode that led to such a high Li+charge storage performance. The conductive MXene matrix contributed to enhancing the charge transport by reducing the diffusion path and led to more active s

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PEARL: projection-estimation accelerated Richardson-Lucy deconvolution for rapid volumetric imaging

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Optics Express 2025年第11期33卷 22685-22698页

作者： Shunan Wu Wenhao Liu Xuanwen Hua Jiajia Luo Xunbin Wei Shu Jia Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta Georgia 30332 USA Department of Biomedical Engineering College of Future Technology Peking University Beijing 100871 China PKU-GT-Emory Joint Ph.D. Program China xwei@*** shu.jia@gatech.edu

Three-dimensional imaging of biological specimens requires high spatiotemporal resolution, but the intensive computational demands of processing continuously recorded images hinder the real-time reconstruction of millisecond cellular events. Here, we introduce projection-estimation accelerated Richardson-Lucy (PEARL) deconvolution, an accelerated 3d reconstruction technique that significantly reduces iteration requirements for image reconstruction based on Richardson-Lucy deconvolution. We validate PEARL's capabilities by imaging immuno-stained mitochondria, GFP-labeled peroxisomes, and human pluripotent stem cell-derived organoids, demonstrating enhanced reconstruction speed and accuracy across diverse biological applications.

关键词： Biomedical imaging Image reconstruction Machine learning phase retrieval Three dimensional imaging Three dimensional reconstruction

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Cryptanalysis of Tripartite Authentication Protocol RFId/NFC Based on ECC 24

Cryptanalysis of Tripartite Authentication Protocol RFID/NFC...

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Proceedings of the 2024 5th International Conference on Big data Economy and Information Management

作者： Min-Shiang Hwang Yung-Ling Chang Cheng-Ying Yang Chia-Chun Wu Department of Computer Science and Information Engineering Asia University Taichung Taiwan The Ph.D. Program in Artificial intelligence Asia University Taichung Taiwan Department of Computer Science University of Taipei Taipei Taiwan Department of Computer Science and Information Engineering National Quemoy University Kinmen Taiwan

ISBN: (纸本)9798400711862

Recently, Wei & Chen proposed a secure three-party mutual authentication protocol for RFId based on elliptic curve cryptography (ECC). Their approach can allow insecure communication between the reader and the backend, so their approach must achieve mutual authentication between the tag, reader, and backend. In addition, their method also satisfies the essential characteristics of RFId systems, such as confidentiality, anonymity, resistance to tracking attacks, and spoofing attacks. However, this article finds that its method cannot meet the mutual authentication and denial of service attacks.

关键词： ECC

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Pulmonary entrapping predicts occult diaphragmatic injury in blunt thoracic trauma with rib fractures

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Asian Journal of Surgery 2025年第5期48卷 2859-2865页

作者： Chang, Po-Chih Chen, Chao-Wen Liu, Yu-Wei Chou, Shah-Hwa Chang, Ting-Wei Li, Hsien-Pin Chiang, Hung-Hsing School of Medicine College of Medicine National Sun Yat-sen University Kaohsiung City Taiwan Division of Thoracic Surgery Department of Surgery Kaohsiung Medical University Hospital/Kaohsiung Medical University Kaohsiung City Taiwan Weight Management Center Kaohsiung Medical University Hospital/Kaohsiung Medical University Kaohsiung City Taiwan Department of Sports Medicine College of Medicine Kaohsiung Medical University Kaohsiung City Taiwan Ph. D. Program in Biomedical Engineering College of Medicine Kaohsiung Medical University Kaohsiung City Taiwan Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung City Taiwan Division of Trauma and Surgical Critical Care Department of Surgery Kaohsiung Medical University Hospital/Kaohsiung Medical University Kaohsiung City Taiwan Division of Thoracic Surgery Department of Surgery Kaohsiung Medical University Ganshan Hospital/Kaohsiung Medical University Kaohsiung City Taiwan Ph.D. Program in Environmental and Occupational Medicine College of Medicine Kaohsiung Medical University Kaohsiung City Taiwan

Background: Blunt thoracic trauma (BTT) often leads to rib fractures (RFs), with an increasing trend in surgical stabilization of rib fractures (SSRF) combined with thoracoscopic exploration, revealing previously underestimated occult diaphragmatic injuries (OdIs) that can result in hernias if not promptly addressed. We present our experience managing OdIs following BTT with complex RFs in a tertiary hospital in Southern Taiwan. Methods: We conducted a retrospective study including patients undergoing SSRF for BTT with complex RFs from January 2018 to March 2024. We analyzed demographic data, trauma details, clinical presentations, intraoperative findings, radiological features, and attempted to identify predictive factors for OdIs using logistic regression analysis. We also reviewed previous case series on OdIs. Results: We identified 11 OdIs, primarily detected during thoracoscopic exploration performed concurrently with SSRF (n = 8) or excessive bloody pleural effusion (n = 3). One hundred and twenty-two patients underwent SSRFs for their complex RFs simultaneously. All these patients with incidental OdI findings during SSRF for complex RFs underwent successful diaphragm repair via thoracoscopy. Multivariate logistic regression analysis revealed a significant association between trapped lung and OdI occurrence in patients undergoing SSRF after BTT (odds ratio: 24.423;95 % confidence interval: 2.77–215.369;p = 0.004). Conclusions: Our findings emphasize the importance of considering pulmonary entrapment as a significant predictive factor for OdI after BTT with complex RFs. Routine thoracoscopy during SSRF is crucial for early detection and management of this rare condition. © 2025 Asian Surgical Association and Taiwan Society of Coloproctology

关键词： Blunt injury diaphragm Fracture fixation Pulmonary entrapping Rib fractures Thoracoscopy

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Wireless, self‑powered phototrophic algaerobot‑infused nanotherapeutic hydrogels for enhanced diabetic wound healing

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Chemical engineering Journal 2025年 515卷

作者： Huang, Wei-Yung Kang, Jiunn-Horng Chen, Yan-Ting Liang, Jia-Wei Hoai Hoang, Lan pham Nguyen, Hieu Trung Chuang, Andrew E.-Y. Graduate Institute of Biomedical Materials and Tissue Engineering International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City23561 Taiwan International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei110 Taiwan Department of Physical Medicine and Rehabilitation School of Medicine College of Medicine Taipei Medical University No.250 Wuxing Street Xinyi District Taipei110 Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taipei110 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan Department of Orthopedics and Trauma Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City700000 Viet Nam Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei11696 Taiwan Precision Medicine and Translational Cancer Research Center Taipei Medical University Hospital Taipei11031 Taiwan

diabetic wounds present a significant clinical challenge due to impaired immunity, hypoxia, poor neovascularization, and chronic inflammation, often resulting in severe complications such as amputation. Conventional therapies, including hyperbaric oxygen, antioxidants, and electrical stimulation, face limitations in delivering sustained and safe oxygen, hydrogen, and electrical stimulation to the wound site. This study introduces a groundbreaking approach by integrating phototrophic algae robots (AR) into a methylcellulose (MC) hydrogel, combined with platelet-derived extracellular vesicles (pEVs) and conductive glycol chitosan-polypyrrole nanoparticles (GCS-PPy NPs), forming a multifunctional composite system (MC-pEV-AR-GCS-PPy NPs). This advanced composite addresses the limitations of traditional treatments by integrating continuous, self-powered hydrogen and oxygen generation, electrical stimulation, and hyperthermia, all triggered by light-activated, electromagnetically driven mechanisms. photosynthetic algae robots offer a sustainable solution for the generation of hydrogen and oxygen, effectively targeting the prevalent issues of hypoxia and the deficit frequently encountered in diabetic wounds. This innovative approach improves therapeutic outcomes through the integration of electrochemical processes and nanophototherapeutics, creating a multimodal platform. This platform not only promotes tissue regeneration and angiogenesis but also alleviates hypoxic conditions, modulates immune responses, and addresses key challenges associated with chronic wound healing. Incorporating pEVs amplifies the regenerative potential of the system, accelerating wound healing and promoting tissue regeneration. This self-powered platform not only reduces inflammation and suppresses M1 macrophage bioactivity but also regulates immune responses, creating an optimized healing environment. The MC-pEV-AR-GCS-PPy NPs composite represents a promising translational approach to diabetic wo

关键词： Hyperthermia therapy

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Transdermally administered nanozymes-infused F127/methylcellulose hydrogel for osteoarthritis relief via immunomodulatory pathways

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International Journal of Biological Macromolecules 2025年 314卷 144114页

作者： Chen, Chih-Kuang Chiu, Hui-Wen Nguyen, Hieu Trung Lu, Hsien-Tsung Chuang, Andrew E.-Y. Graduate Institute of Clinical Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Physical Medicine and Rehabilitation Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan School of Medicine Chang Gung University Taoyuan Taiwan Department of Orthopedics and Trauma Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City700000 Viet Nam Department of Orthopedics School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Orthopedic Taipei Medical University Hospital Taipei City11031 Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei11696 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City235603 Taiwan

Osteoarthritis (OA) is a debilitating condition characterized by chronic inflammation, oxidative stress, hypoxia, angiogenesis-driven pain, and cartilage degradation, thus presenting significant therapeutic challenges. Herein, we introduce a wearable percutaneous hydrogel (Pluronic F127/methylcellulose) encapsulation platform, designed to address the multifaceted pathology of OA through a synergistic integration of multifunctional components. This nanomedicine-hydrogel system incorporates platelet-derived extracellular vesicles (pEVs) for inflammation delivery, phototherapeutic molybdenum disulfide (MoS2), capsaicin (CAP) and diferuloylmethane (dIF) for potent anti-inflammatory and antioxidative effects and hydrogen-bonded organic frameworks (HOFs) to enhance drug encapsulation and conductivity. Experimental findings demonstrated the pEV/MoS2/dIF/CAP NZHOF@F127/MC's ability to mitigate inflammation by promoting macrophage polarization from the M1 to the M2 phenotype, alleviate oxidative stress, inhibit angiogenesis, and modulate hypoxic microenvironments through the percutaneous phototherapeutic pEV/MoS2/dIF/CAP NZ-HOF@F127/MC. In vivo studies in a rat model of OA revealed substantial reductions in joint inflammation, enhanced cartilage regeneration, and improved mobility following near-infrared (NIR)-triggered phototherapy. The pEV/MoS2/dIF/CAP NZ-HOF@F127/MC's multifaceted mechanisms, including precise drug delivery, controlled release, and on-demand photo-responsiveness, underscore its transformative potential for OA management. These findings present a promising therapeutic strategy for OA, addressing inflammation, oxidative stress, and joint lesion mitigation, with strong potential for clinical translation. © 2025 Elsevier B.V.

关键词： Controlled drug delivery

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