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Seasonal Variability of Surface Heat Transport in the Banda Sea

Thalassas 2025年第2期41卷 1-20页

作者： Napitupulu, Gandhi Fekranie, Naffisa Adyan Millina, Ananda Vista Putri, Mutiara Rachmat Kartadikaria, Aditya Rakhmat Setiawan, Agus Hatmaja, Rahaden Bagas Fajary, Faiz Rohman Study Program of Oceanography Faculty of Earth Sciences and Technology Bandung Institute of Technology Cirebon Indonesia Environmental and Applied Oceanography Research Group Faculty of Earth Sciences and Technology Bandung Institute of Technology Bandung Indonesia Study Program of Oceanography Faculty of Earth Sciences and Technology Bandung Institute of Technology Bandung Indonesia Research Centre for Deep Sea National Research and Innovation Agency Republic of Indonesia Jakarta Indonesia Research Centre for Climate and Atmosphere National Research and Innovation Agency Bandung Indonesia Atmospheric Science Research Group Faculty of Earth Sciences and Technology Bandung Institute of Technology Bandung Indonesia Coastal Hazards and Energy System Science Laboratory Graduate School of Innovation and Practice for Smart Society Hiroshima University Hiroshima Japan Department of Atmospheric and Oceanic Science University of Maryland MD United States

The Banda Sea, the largest and deepest ocean basin in the Indonesian Seas and a pivotal reservoir of the Indonesian Throughflow (ITF) exhibits significant seasonal variability in surface heat transport (SHT). This study investigates the influence of mesoscale eddies, sea surface wind (SSW), Ekman transport, and radiation as well as their complex interplay in shaping the SHT. The complex bathymetry of the region fosters a three-dimensional circulation pattern, facilitating the mixing of Pacific and Indian waters into the distinctive Indonesian sea. Mesoscale anticyclonic eddy (AE) and cyclonic eddy (CE) play crucial roles in regulating vertical heat distribution through upwelling and downwelling mechanisms. From 2006 to 2020, 236 AE and 193 CE events were identified, peaking in April and November (transition periods), respectively. During the northwest monsoon (NWM), SHT decreases due to weaker wind-driven currents and reduced advective export, which in turn leads to the accumulation of warm surface waters. While during the southeast monsoon (SEM), SHT increases as water is exported to the Indian Ocean. The ITF modulates the effects of CE and AE, with mesoscale eddy activity significantly influencing heat distribution during monsoon transitions and peak ITF periods. The June–August increase in eddies also enhances freshwater transport in the Ombai Strait and Timor Passage. Seasonal variations in radiation and wind patterns further impact SHT. During the NWM, higher radiation leads to positive SST anomalies and downwelling, intensifying evaporation. Conversely, lower radiation during the SEM results in lower SST anomalies. However, the ocean's energy content remains relatively high due to convergent net heat transport. During transitional periods, net heat transport approaches zero, and SSW are relatively lower, contributing to a decrease in evaporation. Understanding the seasonal variability of SHT in the Banda Sea is crucial for predicting regional and global climat

关键词： Anticyclonic eddy Banda Sea Cyclonic eddy Surface heat transport

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Novel blue-pea flowers derived-carbon dots/iron oxide nanohybrid as sustainable "turn-off" fluorescent nanosensor for selective Fe3+ detection in food samples

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Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy 2025年 339卷 126291页

作者： Nuntahirun, Pattaraporn Li, Chien-Hung Sirisit, Natee Shashikumar, Uday Tsai, Pei-Chien Manjappa, Kiran B. Huang, Genin Gary Paoprasert, Peerasak Ponnusamy, Vinoth Kumar Department of Chemistry Faculty of Science and Technology Thammasat University Pathum Thani12120 Thailand Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung City807 Taiwan Graduate Program for Biomedical and Materials Science and Department of Chemistry Tunghai University Taichung City Taiwan Center of Excellence on Petrochemical and Materials Technology Chulalongkorn University Bangkok10330 Thailand Kaohsiung City807 Taiwan Kaohsiung City807 Taiwan

Developing a novel fluorescence carbon-based sensor with high sensitivity, selectivity, and rapid response is critical for detecting ferric ion (Fe3+) in beverages and food products. Overcoming this challenge is essential, as excess Fe3+ can cause cellular damage, raising health concerns. Herein, we designed a fluorescence nanosensor utilizing a hybrid iron oxide/carbon dots (HICs) nanocomposite, synthesized from blue pea (BPs) flowers and iron oxide nanoparticles through a hydrothermal treatment. More importantly, the HICs demonstrated high sensitivity and a rapid response to Fe3+, with a linear detection range spanning 0.06 to 100 µM and an impressively low limit of detection (LOD) of 13.61 nM. Moreover, the HICs exhibited remarkable selectivity toward Fe3+, remaining unaffected by various interferences, including common metal ions and small organic molecules. Upon Fe3+ addition, the fluorescence quenching of HICs occurs through a combination of static quenching and dynamic quenching mechanism and the inner filter effect. Additionally, the detection of Fe3+ in milk and herbal drinks was achieved using HICs, yielding satisfactory recovery rates ranging from 94.4 % to 103.7 %. Thus, the developed HICs serve as highly efficient "turn-off’" fluorescent nanosensors, exhibiting a rapid response, high sensitivity, and ultra-selectivity for Fe3+ detection, unaffected by matrix interference. These qualities make them promising candidates for advanced detection applications in food products, ensuring food safety. © 2025 Elsevier B.V.

关键词： Tea

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Advances in filler-crosslinked membranes for hydrogen fuel cells in sustainable energy generation

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International Journal of Hydrogen Energy 2025年 140卷 745-776页

作者： Aminul Islam Mamun Shahriar Md. Tarekul Islam Siow Hwa Teo M. Azizur R. Khan Yun Hin Taufiq-Yap Suman C. Mohanta Ariyan Islam Rehan Adiba Islam Rasee Khadiza Tul Kubra Md. Munjur Hasan Md. Shad Salman R.M. Waliullah Md. Nazmul Hasan Md. Chanmiya Sheikh Tetsuya Uchida Mrs Eti Awual Mohammed Sohrab Hossain Hussein Znad Md. Rabiul Awual Department of Petroleum and Mining Engineering Jashore University of Science and Technology Jashore 7408 Bangladesh College of Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Chemistry Jashore University of Science and Technology Jashore 7408 Bangladesh Department of Leather Engineering Faculty of Mechanical Engineering Khulna University of Engineering and Technology Khulna 9203 Bangladesh Industrial Chemistry Program Faculty of Science and Natural Resources Universiti Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia Catalysis Science and Technology Research Centre Faculty of Science Universiti Putra Malaysia Serdang 43400 Malaysia Department of Chemistry School of Science The University of Tokyo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan Department of Chemistry Graduate School of Science Osaka University Osaka 560-0043 Japan Institute for Chemical Research Kyoto University Gokasho Uji Kyoto 611-0011 Japan Division of Applied Chemistry Graduate School of Natural Science and Technology Okayama University 1-1 Tsushima-naka 3-Chome Okayama 700-8530 Japan Western Australian School of Mines: Minerals Energy and Chemical Engineering Curtin University GPO Box U 1987 Perth WA 6845 Australia

Fuel cell membranes can be used in various ways to achieve zero-emission transport and energy systems, which offer a promising way to power production due to their higher efficiency compared to the internal combustion engine and the eco-environment. Perfluoro sulfonic acid membranes used for proton exchange membranes (PEMs) have certain drawbacks, like higher fuel permeability and expense, lower mechanical and chemical durability, and proton conductivity under low humidity and above 80 °C temperature. Researchers have drawn their attention to the production of polymer electrolyte membranes with higher proton conductivity, thermal and chemical resilience, maximum power density, lower fuel permeability, and lower expense. For sustainable clean energy generation, a review covering the most useful features of advanced material-associated membranes would be of great benefit to all interested communities. This paper endeavors to explore several types of novel inorganic fillers and crosslinking agents, which have been incorporated into membrane matrices to design the desired properties for an advanced fuel cell system. Membrane parameters such as proton conductivity, the ability of H 2 transport, and the stability of the membrane are described. Research directions for developing fuel cell membranes are addressed based on several challenges suggested. The technological advancement of nanostructured materials for fuel cell applications is believed to significantly promote the future clean energy generation technology in practice.

关键词： Advanced materials Fuel cell Hydrogen gas generation Proton exchange membrane Polymer

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The Bacterial Outer Membrane Vesicle-Cloaked Immunostimulatory Nanoplatform Reinvigorates T Cell Function and Reprograms Tumor Immunity

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ACS Nano 2025年 2025 May 20页

作者： Lin, Yu-Han Chen, Chia-Wei Chen, Mei-Yi Xu, Li Tian, Xuejiao Cheung, Siu-Hung Wu, Yen-Ling Siriwon, Natnaree Wu, Si-Han Mou, Kurt Yun Taiwan International Graduate Program in Molecular Medicine National Yang Ming Chiao Tung University and Academia Sinica Taipei 11529 Taiwan Graduate Institute of Nanomedicine and Medical Engineering Taipei Medical University Taipei 11031 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei 11529 Taiwan Research Center for Applied Sciences Academia Sinica Taipei 11529 Taiwan Chakri Naruebodindra Medical Institute Faculty of Medicine Ramathibodi Hospital Mahidol University Samutprakarn 10540 Thailand International Ph.D. Program in Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 11529 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu 30013 Taiwan

Bacterial outer membrane vesicles (OMVs) represent powerful immunoadjuvant nanocarriers with the capacity to reprogram the tumor microenvironment (TME) and activate immune responses. Here, we investigate a nanotherapeutic platform integrating immunostimulatory cytosine-phosphate-guanine oligodeoxynucleotides (CpG-ODNs, hereafter termed CpG) into mesoporous silica nanoparticles cloaked with OMVs (CpG@MSN-PEG/PEI@OMVs) for cancer immunotherapy. Systemic administration of these nanohybrids facilitates precise tumor targeting, induces antitumor cytokines such as IFNγ, and suppresses immunosuppressive cytokine TGF-β, reshaping the TME. Additionally, CpG@MSN-PEG/PEI@OMVs promote M1 macrophage polarization, dendritic cell maturation, and the generation of durable tumor-specific immune memory, resulting in pronounced tumor regression with minimal systemic toxicity. The platform demonstrates efficacy against metastatic and solid tumor models including 4T1 breast and MC38 colorectal cancers. Transcriptomic analyses reveal that CpG@MSN-PEG/PEI@OMVs enhance mitochondrial oxidative phosphorylation in T cells within tumor-draining lymph nodes, mitigating T cell exhaustion and restoring metabolic fitness. These results support the potential of CpG@MSN-PEG/PEI@OMVs as a modular nanoplatform to modulate innate and adaptive immunity in cancer immunotherapy. © 2025 The Authors. Published by American Chemical Society.

关键词： bacterial outer membrane vesicles mesoporous silica nanoparticles mitochondrial activity T cell exhaustion phenotypes tumor microenvironment

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Harnessing the bishomolithocholic acid scaffold for selective sialyltransferase inhibition: A targeted approach to suppress breast cancer metastasis

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European Journal of Medicinal Chemistry 2025年 292卷 117674页

作者： Perez, Ser John Lynon P. Hsu, Zih-Fan Chang, Tzu-Ting Chen, Chia-Ling Li, Wen-Shan Institute of Chemistry Academia Sinica Taipei 115 Taiwan Department of Applied Chemistry National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Sustainable Chemical Science and Technology Taiwan International Graduate Program Academia Sinica Taipei 115 Taiwan Biomedical Translation Research Center Academia Sinica Taipei 115 Taiwan Department of Chemistry National Taiwan Normal University Taipei 116 Taiwan Department of Medicinal and Applied Chemistry College of Life Science Kaohsiung Medical University Kaohsiung 807 Taiwan Ph.D. Program in Drug Discovery and Development Industry College of Pharmacy Taipei Medical University Taipei 110 Taiwan Doctoral Degree Program in Marine Biotechnology National Sun Yat-Sen University Kaohsiung 804 Taiwan

ST6GAL1 plays a crucial role in the progression of triple-negative breast cancer (TNBC), highlighting its potential as a therapeutic target for this aggressive cancer subtype. Due to the high metastatic potential of TNBC and the limitations of current therapies, selective and potent ST6GAL1 inhibitors are urgently needed. In this study, a scaffold-hopping approach from lithocholic acid to bishomolithocholic acid successfully led to the discovery of novel ST6GAL1 inhibitors, SPP-037 and HZF01, with enhanced biological activity and selectivity. Both compounds significantly inhibited MDA-MB-231 cell migration, HUVEC tube formation, tumor growth, and metastasis in vitro and in vivo. Molecular docking studies revealed key interactions between the ST inhibitors and ST6GAL1, supporting their enhanced selectivity and binding affinity. Additionally, SPP-037 and HZF01 were found to block integrin α2,6-sialylation, disrupting integrin activation and downstream signaling pathways involving the phosphorylation of focal adhesion kinase (FAK) and paxillin, which are critical for cell migration. These results underscore the potential of targeting ST6GAL1 to suppress tumor progression and metastasis, offering a promising avenue for treating aggressive breast cancer. © 2025 Elsevier Masson SAS

关键词： Bishomolithocholic acid Breast cancer metastasis Integrin-FAK-Paxillin axis N-glycan sialylation Sialyltransferase inhibitor ST6GAL1

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EXCESSIVE SUCROSE EXACERBATES HIGH FAT DIET-INDUCED HEPATIC INFLAMMATION AND FIBROSIS PROMOTING OSTEOARTHRITIS IN MICE MODEL

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Osteoarthritis and Cartilage 2025年 33卷 S139-S140页

作者： Yunhui Min Yunji Heo Dinesh Suminda Godagama Gamaarachchige minhye Kim myeongyeon shin Md. M. Ansari Young-Ok Son Interdisciplinary Graduate Program in Advanced Convergence Technology and Science Jeju National University Jeju Korea (the Republic of) Department of Animal Biotechnology Faculty of Biotechnology College of Applied Life Sciences Jeju National University Jeju-si Jeju-do Korea (the Republic of) Interdisciplinary Graduate Program in Advanced Convergence Technology and Science Jeju national University Jeju-si Jeju-do Korea (the Republic of)

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Economically optimal management of salmon louse requires adapting to their drug-resistance rather than attempting their eradication

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Aquaculture 2025年 606卷

作者： Xu, Duo Dieckmann, Ulf Heino, Mikko Complexity Science and Evolution Unit Okinawa Institute of Science and Technology Graduate University (OIST) Onna Okinawa 904-0495 Japan Collège STEE Université de Pau et des Pays de l'Adour (UPPA) Anglet 64600 France Advancing Systems Analysis Program International Institute for Applied Systems Analysis Laxenburg A-2361 Austria Department of Evolutionary Studies of Biosystems The Graduate University for Advanced Studies (Sokendai) Hayama Kanagawa 240-0193 Japan Department of Biological Sciences University of Bergen Bergen NO-5020 Norway Institute of Marine Research Bergen NO-5817 Norway

The growing global demand for seafood and concerns about overfishing have spurred the rapid expansion of aquaculture. In aquaculture, managing diseases and parasites presents a critical problem, with drug-based solutions being increasingly challenged by the evolution of drug resistance. In this study, we focus on managing salmon louse in the context of open-cage salmon mariculture with potential for the evolution of drug resistance. We devise a model combining parasite dynamics and fish dynamics in a system of fish farms connected to each other by dispersive stages of the parasite and then evaluate the system-wide economic performance of different management strategies involving three parasite-control measures: drug treatment (administering medicine through fish feed), mechanical treatment (pumping fish through a system of water jets and/or soft brushes), and depopulation (emptying a whole farm prematurely). Drug treatment controls drug-sensitive lice at low cost but becomes ineffective in the presence of drug-resistant lice. Mechanical treatment can clear both types of lice but at the cost of diminished fish growth and additional fish mortality. Depopulation removes both the fish and the parasites within the farm but results in prematurely harvested fish that fetch a lower price. Our results suggest that even when the drug is used only once per production cycle and mechanical treatment and depopulation provide the main control of the parasite, the spread of drug resistance is unavoidable in an open-cage system. Furthermore, it is often not economically optimal to drive resistance to the lowest possible level by minimizing drug use: because resistant lice are assumed to have a slightly reduced fecundity, slightly fewer non-drug treatments are needed for controlling drug-resistant parasites than drug-sensitive parasites. Building on these insights, our model predicts that economically optimal parasite management in the presence of drug resistance combines all three p

关键词： Aquaculture economics Drug resistance Parasite management Salmon lice

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programming Variational Quantum Circuits with Quantum-Train Agent

Programming Variational Quantum Circuits with Quantum-Train ...

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Quantum Communications, Networking, and Computing (QCNC), International Conference on

作者： Chen-Yu Liu Samuel Yen-Chi Chen Kuan-Cheng Chen Wei-Jia Huang Yen-Jui Chang Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Hon Hai (Foxconn) Research Institute Taipei Taiwan Wells Fargo New York NY USA Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Quantum Information Center Chung Yuan Christian University Taoyuan City Taiwan Master Program in Intelligent Computing and Big Data Chung Yuan Christian University Taoyuan City Taiwan

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

This study introduces the Quantum-Train Quantum Fast Weight programmer (QT-QFWP) framework, enabling efficient and scalable programming of variational quantum circuits (VQCs) through quantum-driven parameter updates for the classical slow programmer controlling the fast programmer VQC. By optimizing quantum and classical parameter management, QT-QFWP significantly reduces parameters (by 70–90%) compared to Quantum Long Short-Term Memory (QLSTM) and Quantum Fast Weight programmer (QFWP) while maintaining accuracy. Benchmarking on time-series tasks—including Damped Simple Harmonic Motion (SHM), NARMA5, and Simulated Gravitational Waves (GW)—demonstrates superior efficiency and predictive accuracy. QT-QFWP is particularly advantageous for near-term quantum systems, addressing qubit and gate fidelity constraints, enhancing VQC deployment in time-sensitive applications, and expanding quantum computing’s role in machine learning.

关键词： Quantum system Accuracy Computational modeling Qubit Neural networks programming Predictive models Quantum circuit Physics Long short term memory

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Motor cortex repetitive transcranial magnetic stimulation in fibromyalgia: a multicentre randomised controlled trial

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British Journal of Anaesthesia 2025年第6期134卷 1756-1764页

作者： Silva, Valquíria A. Baptista, Abrahão F. Fonseca, Alessandra S. Carneiro, Adriana M. Brunoni, André R. Carrilho, Paulo.E.M. Lins, Catarina C. Kubota, Gabriel T. Fernandes, Ana Mércia B.L. Lapa, Jorge.D.S. dos Santos, Lucas M. Sasso, Ivo Monte-Silva, Katia Poindessous-Jazat, Frédérique Mori, Nobuhiko Miki, Kenji Baltar, Adriana Tanaka, Clarice Teixeira, Manoel J. Hosomi, Koichi Bouhassira, Didier Attal, Nadine Ciampi de Andrade, Daniel LIM 62 - Pain Center Department of Neurology São Paulo Brazil Service of Interdisciplinary Neuromodulation (SIN) Department and Institute of Psychiatry São Paulo Brazil Medical-Surgical Nursing Department University of São Paulo São Paulo Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Paulo Brazil Mood Disorder Program (Pro-GRUDA) Department of Psychiatry University of São Paulo São Paulo Brazil Medicine School “Professor Orival Alves” State University of Western Paraná (UNIOESTE) Paraná Brazil Neurosurgery Unit Hospital de Cirurgia Sergipe Aracaju Brazil Department of Medicine Federal University of Sergipe Sergipe São Cristóvão Brazil LIM 54 - Physiotherapy Research Laboratory University of São Paulo São Paulo Brazil Applied Neuroscience Laboratory Universidade Federal de Pernambuco Cidade Universitária Pernambuco Brazil UVSQ-Paris-Saclay University Ambroise Paré Hospital Boulogne-Billancourt U987 France Department of Neurosurgery Osaka University Graduate School of Medicine Osaka Japan Faculty of Health Science Osaka Yukioka College of Health Science Osaka Japan Center for Pain Management Hayaishi Hospital Osaka Japan Center for Neuroplasticity and Pain (CNAP) Department of Health Science and Technology University of Aalborg Gistrup Denmark

Background: Despite affecting 2–4% of the population worldwide, fibromyalgia often remains refractory to treatment. Here we report the first international randomised double-blind, sham-controlled trial developed to assess the efficacy of repetitive transcranial magnetic stimulation (rTMS) as an add-on therapy for fibromyalgia. Methods: Women aged ≥18 yr with fibromyalgia refractory to best available treatment were enrolled in Brazil, France, and Japan, and randomised to 10 Hz motor cortex (M1) rTMS, 3000 pulses day⁻¹, or sham stimulation. This included 10 induction sessions over 2 weeks, followed by weekly maintenance (6 weeks), and fortnightly extended maintenance (8 weeks). Primary outcome was ≥50% pain reduction at week 8 compared with baseline. Secondary outcomes included pain interference, mood, global impression of change, and Fibromyalgia Impact Questionnaire (FIQ) scores at weeks 8 and 16. Results: We randomised 101 women (mean age 48 [range 25-83] yr) into active (n=52) or sham (n=49) arms. Bayesian analysis revealed a 99.4% probability of ≥50% pain reduction at week 8 in the active group vs sham (odds ratio [OR] 3.04;95% credible interval [95% CrI] 1.26–8.06), with a number needed to treat of 4.54. Frequentist analysis confirmed that relative pain reduction was higher in the active than in the sham group (40.4% vs 18.4%, P=0.028). At week 16, this probability reduced to 34.2% (OR 0.815;95% CrI 0.313–2.1), but the likelihood of FIQ score reduction was 79.1%. The intervention appeared safe. Conclusions: Add-on M1-repetitive transcranial magnetic stimulation reduced pain intensity up to 8 weeks in women with fibromyalgia. Although analgesic effects waned, functional improvements remained during extended maintenance at week 16. © 2025 The Authors

关键词： chronic pain clinical trial fibromyalgia neuromodulation transcranial magnetic stimulation

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CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data

CompressedMediQ: Hybrid Quantum Machine Learning Pipeline fo...

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Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Kuan-Cheng Chen Yi-Tien Li Tai-Yu Li Chen-Yu Liu Po-Heng Henry Lee Cheng-Yu Chen Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Translational Imaging Research Center Taipei Medical University Hospital Taipei Taiwan Research Center for Neuroscience Taipei Medical University Taipei Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan National Center for High-Performance Computing NARlabs Hsinchu Taiwan Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Department of Medical Imaging Taipei Medical University Hospital Taipei Taiwan Department of Radiology National Defense Medical Center Taipei Taiwan Department of Radiology School of Medicine College of Medicine Taipei Taiwan

ISBN: (数字)9798331519315

ISBN: (纸本)9798331519322

This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine learning pipeline specifically developed to address the computational challenges associated with high-dimensional multi-class neuroimaging data analysis. Standard neuroimaging datasets, such as large-scale MRI data from the Alzheimer’s Disease Neuroimaging Initiative and Neuroimaging in Frontotemporal Dementia, present significant hurdles due to their vast size and complexity. CompressedMediQ integrates classical HPC nodes for advanced MRI pre-processing and Convolutional Neural Network (CNN)-PCA-based feature extraction and reduction, addressing the limited-qubit availability for quantum data encoding in the NISQ era. This is followed by Quantum Support Vector Machine (QSVM) classification. By utilizing quantum kernel methods, the pipeline optimizes feature mapping and classification, enhancing data separability and outperforming traditional neuroimaging analysis techniques. Experimental results highlight the pipeline’s superior accuracy in dementia staging, validating the practical use of quantum machine learning in clinical diagnostics. Despite the limitations of NISQ devices, this proof-of-concept demonstrates the transformative potential of quantum-enhanced learning, paving the way for scalable and precise diagnostic tools in healthcare and signal processing.

关键词： Neuroimaging Support vector machines Quantum computing Accuracy Magnetic resonance imaging Pipelines Machine learning Medical services Signal processing Standards

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