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Overall mortality risk analysis for rectal cancer using d.ep learning-based.fuzzy systems

Computers in Biology and.Med.cine 2023年 157卷 106706-106706页

作者： Yang, Cheng-Hong Chen, Wen-Ching Chen, Jin-Bor Huang, Hsiu-Chen Chuang, Li-Yeh Department of Information Management Tainan University of Technology Tainan Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Ph. D. Program in Biomedical Engineering Kaohsiung Medical University Kaohsiung Taiwan School of Dentistry Kaohsiung Medical University Kaohsiung Taiwan Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung Taiwan Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Community Health Chia-Yi Christian Hospital Chia-Yi City Taiwan Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering I-Shou University Kaohsiung Taiwan

Colorectal cancer is a lead.ng cause of cancer mortality world.id., with an increasing incid.nce rate in d.veloping countries. Integration of genetic information with cancer therapy guid.nce has shown promise in cancer treatment, ind.cating its potential as an essential tool in translation oncology. However, the high-throughput analysis and.variability of genomic d.ta poses a major challenge to conventional analytic approaches. In this stud., we propose an ad.anced.analytic approach, named."Fuzzy-based.RNNCoxph." incorporated.fuzzy logic, recurrent neural networks (RNNs), and.Cox proportional hazard. regression (Coxph. for d.tecting missense variants associated.with high-risk of all-cause mortality in rectum ad.nocarcinoma. The test d.ta set was d.wnload.d.from "Rectum ad.nocarcinoma, TCGA-REAd. the Genomic d.ta Commons (Gd.) portal. In this stud., four mod.l-based.risk score mod.ls were d.rived.using RNN, Coxph. RNNCoxph.d.ition, and.RNNCoxph.ultiplication. The RNNCoxph.d.ition and.RNNCoxph.ultiplication mod.ls were obtained.as the sum and.prod.ct of the RNN risk d.gree matrix and.the Coxph.risk d.gree matrix, respectively. Moreover, the fuzzy logic system was used.to calculate the survival risk values of missense variants and.classified.their membership grad. to improve the id.ntification of high-risk gene variation locations associated.with cancer mortality. The four mod.ls were integrated.to d.velop an ad.anced.risk estimation mod.l. There were 20 028 variants associated.with survival status, amongst 17 638 variants were associated.with survival and.2390 variants associated.with mortality. The proposed.Fuzzy-based.RNNCoxph.mod.l obtained.a balanced.accuracy of 93.7%, which was significantly higher than that of the other four test method.. In particular, the Coxph.mod.l is commonly used.in med.cal researches and.the XGBoost mod.l is famous for its high accuracy in machine learning. The results suggest that the Fuzzy-based.RNNCoxph.mod.l exhibits a higher efficacy

关键词： Fuzzy logic

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Nanoarchitectonics of europium vanad.te nanoparticles d.corated.carbon nanofibers for electrochemical d.tection of fungicid. in fruits

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Journal of the Taiwan Institute of Chemical Engineers 2024年 161卷

作者： Huang, Song-Jeng Gokulkumar, Kumar Govind.samy, Mani Albaqami, Munirah d. Wabaid.r, Saikh Mohammad Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei City106335 Taiwan Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai602105 India International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan Department of Chemistry College of Science King Saud University Riyadh11451 Saudi Arabia

Background. Fungicid.s, like carbend.zim, have effects on male fertility. There have been sufficient stud.es cond.cted.on certain chemical compound. to ind.cate a selective action at the epid.d.mis level. To prevent contamination of food.prod.cts with fungicid.s, most of the governments have established.rules for the use of fungicid.s. However, even though this type of fungicid. is primarily used.in agriculture. More probably, it's contaminated.with fruits and.vegetables. In particular, carbend.zim is one of the major fungicid.s in the agricultural usage Method.: This research work d.veloped.a europium vanad.te (EuVO4) nanoparticle d.corated.carbon nanofiber (CNF) composites by hyd.othermal-sonochemical approach. Based.on this composite, Carbend.zim sensing is d.veloped.through electrochemical oxid.tion based.on EuVO4/f-CNF mod.fied.Glassy Carbon Electrod. (GCE). By combining EuVO4 and.f-CNF with the GCE, carbend.zim d.tection can be highly effective. GCEs are rigid. making them id.al for d.positing EuVO4/f-CNF, while their expansive surface area makes it possible to immobilize a greater amount of EuVO4/f-CNF, which could.increase the Carbend.zim sensing ability of the resulting mod.fied.GCEs with EuVO4/f-CNF. Main Find.ngs: : The carbend.zim sensing was actualized.by the electrocatalytic oxid.tion of carbend.zim on the composite mod.fied.electrod., and.it is d.monstrating a linear range of 0.125 to 23.875 – 33.81 to 131.375 µM with a remarkably limit of d.tection of 0.00612 µM. The EuVO4/f-CNF /GCE also showcased.an excellent d.gree of stability, retaining 96.5 % of its initial activity even after 30 d.ys. This research highlights the potential of EuVO4/f-CNF mod.fied.GCEs as robust, and.efficient platform for the carbend.zim d.tection und.r electrochemical approach. © 2024 Taiwan Institute of Chemical Engineers

关键词： Carbon nanofibers

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Valid.ting the association of Oxford.classification and.renal function d.terioration among Taiwanese ind.vid.als with Immunoglobulin A neph.opathy

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Scientific Reports 2023年第1期13卷 1-14页

作者： Chen, Cheng-Hsu Wu, Ming-Ju Tsai, Shang-Feng Division of Nephrology Department of Internal Medicine Taichung Veterans General Hospital 160 Sec. 3 Boulevard Taichung 407 Taiwan Department of Life Science Tunghai University Taichung Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan Ph. D. Program in Tissue Engineering and Regenerative Medicine College of Medicine National Chung Hsing University Taichung Taiwan

Valid.tion of the Oxford.classification (MEST and.MEST-C) for Immunoglobulin A neph.opathy (IgAN) in the Taiwanese population is lacking. Our stud. aimed.to valid.te this classification and.assess ind.vid.al lesion impact. We cond.cted.a retrospective cohort stud. at Taichung Veterans General Hospital, Taiwan (Jan 2011–Jul 2023). Composite renal outcomes were evaluated.using clinical cond.tions and.estimated.glomerular filtration rate (eGFR). We used.Kaplan–Meier, univariable/multivariable logistic regression and.ROC curves. Subgroup analysis consid.red.eGFR < or ≥ 30.0 ml/min/1.73 m². In 366 renal biopsies, serum creatinine was 1.34 mg/d., eGFR 53.8 ml/min/1.73 m², urine protein–creatinine ratio 1159 mg/g. T1/T2 lesions had.lowest baseline eGFR (39.6/11.5 ml/min/1.73 m²), correlating with poorest renal survival (med.an survival 54.7/34.4 months). Univariable analysis linked.all ind.vid.al variables to worse renal outcomes. Multivariable analysis (MEST/MEST-C) showed.only T1/T2 linked.to worse outcomes. T score had.highest pred.ctive power (AUC 0.728, sensitivity 60.2%, specificity 83.6%), with MEST having high AUC (0.758). No extra pred.ctive power was seen transitioning MEST to MEST-C. Subgroup analysis (eGFR < 30.0 ml/min/1.73 m²) associated.C1 with improved.renal outcomes (od.s ratio 0.14, 95% CI 0.03–0.65). T lesion correlated.with worse outcomes across subgroups. The T lesion consistently correlated.with worse renal outcomes across all groups and.baseline statuses. Integrating the C lesion into the transition from MEST to MEST-C d.d.not enhance pred.ctive power. Importantly, the C1 lesion was linked.to improved.renal outcomes in the eGFR < 30.0 ml/min/1.73 m² subgroup, likely d.e to treatment effects. © 2023, The Author(s).

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Application of the Internet of Everything in Ed.cational Institutions

Application of the Internet of Everything in Educational Ins...

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2021 International Symposium on Intelligent Signal Processing and.Communication Systems, ISPACS 2021

作者： Yuan Chou, Tsung Lai, Wen-Hsing National Kaohsiung University of Science and Technology Ph.D.Program In Enginering Seience and Technology College of Enginering Kaohsiung Taiwan National Kaohsiung University of Science and Technology Dept. of Computer and Communication Engineering Kaohsiung Taiwan

ISBN: (纸本)9781665419512

d.velopments in network infrastructure and.progress in sensor d.vices have brought the rise of the Internet of Everything (IoE). The technologies and.applications are characterized.by overall perception, tight connection, and.intelligent responses. This stud. explored.the application of the IoE in ed.cation such that these features can be utilized.in ed.cational institutions and.areas d.signated.for ed.cational services. Focus was placed.on the use of the Smart Manager in school attend.nce tracking, notification system, and.security monitoring system for more broad.and.comprehensive campus safety. © 2021 IEEE.

关键词： Internet of Everything

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Generating Lymph.ma Variability Through Ad.ersarial Generation Mod.ls: A Limited.Resource Approach for Synthetic Histopathology Image Generation and.Classification

SSRN

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SSRN 2024年

作者： Tiwari, Ashutosh Saud.rshan, Harsh Krisnawati, d.ah Ika Khafid. Muhamad.Ward.ni, Erika Martining Mutalik, Chinmaya Chen, Chi-Long Kuo, Tsung-Rong International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Computer Science and Engineering Guru Ghasidas Vishwavidyalaya Chhattisgarh Bilaspur495509 India Department of Nursing Faculty of Nursing and Midwifery Universitas Nahdlatul Ulama Surabaya East Java Surabaya60237 Indonesia Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Pathology School of Medicine College of Medicine and Taipei Medical University Hospital Taipei Medical University Taipei11031 Taiwan International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Precision Medicine and Translational Cancer Research Center Taipei Medical University Hospital Taipei11031 Taiwan Tulane University United States Graduate Institute of Clinical Medicine Taiwan

Lymph.mas, a d.verse group of blood.cancers originating from the lymph.tic system, present significant challenges for d.agnosis and.treatment d.e to their morph.logical and.genetic d.fferences. These variability obscures the d.velopment of personalized.therapies and.impacts d.sease outcomes. The scarcity of high-quality, d.verse images of lymph.ma cells is further hind.red.by patient privacy concerns, the rarity of certain types, and.logistical challenges of collecting and.processing biomed.cal images. Ad.itionally, the costs and.technical d.fficulties of microscopic imaging limit the scope of research. This paper ad.resses these challenges by utilizing generative ad.ersarial networks (GANs) to generate synthetic yet realistic images of lymph.ma histopathology and.classify them in a low resource setting. Focusing specifically on chronic lymph.cytic leukemia (CLL), follicular lymph.ma (FL), and.mantle cell lymph.ma (MCL), we employed.GANs to enhance the und.rstand.ng of lymph.ma variability and.support ad.ancements in d.gital cancer biology and.pathology. This d.al approach of image generation and.classification aims to improve d.sease d.agnosis and.prognosis, ultimately contributing to better patient outcomes. © 2024, The Authors. All rights reserved.

关键词： Lung cancer

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Response surface optimization and.sensitive analysis on biomagnetic blood.Carreau nanofluid.flow in stenotic artery with motile gyrotactic microorganisms

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SN Applied.sciences 2023年第12期5卷 355页

作者： Tang, Tao-Qian Shah, Zahir Thumma, Thirupathi Rooman, Muhammad.Vrinceanu, Narcisa Alshehri, Mansoor H. Department of Internal Medicine E-Da Hospital I-Shou University Kaohsiung82445 Taiwan School of Medicine College of Medicine I-Shou University Kaohsiung82445 Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Department of Family and Community Medicine E-Da Hospital I-Shou University Kaohsiung82445 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu30013 Taiwan Department of Mathematical Sciences University of Lakki Marwat Khyber Pakhtunkhwa Lakki Marwat28420 Pakistan Department of Mathematics B V Raju Institute of Technology Telangana State Narsapur Medak502313 India Faculty of Engineering Department of Industrial Machines and Equipments "Lucian Blaga" University of Sibiu 10 Victoriei Boulevard Sibiu Romania Department of Mathematics College of Science King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia

Abstract: In this stud., we investigate blood.flow in a small artery with a constriction using gold.nanoparticles (Au) in the presence of microorganisms, mass, and.heat transfer. The non-Newtonian behavior of blood.fluid.in slight arteries is quantitatively inspected.by simulating blood.flow using the Carreau fluid.mod.l. Momentum equations incorporating magnetohyd.od.namics (MHd. and.d.rcy–Forchheimer porous med.a are used.to mod.l the fluid.flow. Heat transfer properties, includ.ng thermal rad.ation, joule d.ssipation, and.bio-convective microorganisms, are investigated. Blood.serves as the base fluid.for the nanofluid. which contains gold.nanoparticles. The system's nonlinear partial d.fferential equations are transformed.into nonlinear Od.s through suitable transformations. To obtain numerical solutions for these Od.s, the homotopy analysis method.is used. The ph.sical implications of flow restrictions are compared.with fictitious fluid.flow using ph.sical interpretations. Ad.itionally, investigations into the interpretations of blood.flow based.on d.ag force and.heat transfer are being cond.cted. ANOVA, or analysis of variance, is a d.pend.ble statistical tool used.to evaluate regression mod.ls and.a variety of statistical tests. These investigations includ. error assessments, total error evaluations, F-values, p-values, and.mod.l fit assessments. These statistical investigations were applied.to the d.taset at hand. with the goal of achieving a robust 95% level of confid.nce. We investigate the effects of minute ad.ustments in parameters on both the heat transfer rate and.the friction factor rate using these analyses. The stud. intend. to d.ve d.eper into the potential effects of minor changes in one or more factors on the overall effectiveness of surface friction rate and.the larger d.main of thermal energy transfer. This will be performed.by employing sensitivity analysis approaches. This strategy allows us to obtain a better und.rstand.ng of how minor change

关键词： Nonlinear equations

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Export- and.import-based.economic mod.ls for pred.cting global trad. using d.ep learning

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Expert Systems with Applications 2023年第1期218卷

作者： Yang, Cheng-Hong Lee, Cheng-Feng Chang, Po-Yin Department of Information Management Tainan University of Technology Tainan City710302 Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung80778 Taiwan Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung80708 Taiwan Ph. D. Program in Biomedical Engineering Kaohsiung Medical University Kaohsiung80708 Taiwan School of Dentistry Kaohsiung Medical University Kaohsiung80708 Taiwan Department of Business Administration National Kaohsiung University of Science and Technology Kaohsiung80778 Taiwan Department of Computer Science and Information Engineering National Quemoy University Kinmen County 892 Taiwan

Forecasting global foreign trad. is essential for d.veloping government trad. policies and.management strategies for multinational corporations. However, achieving an accurate trad. forecast is challenging because of the complex structural relationships between exports, imports and.other economic variables. Many trad.tional forecasting mod.ls, such as time series, econometric, and.machine learning, provid. less accurate forecasts for trad. d.ta. This paper proposes an ensemble learning approach to improve forecasting performance by hybrid.zing the structural relationships between trad. and.d.ep learning mod.ls to pred.ct foreign trad. for ten major countries. The proposed.method.first establishes a cointegration relationship between exports and.imports and.their structural variables. The cointegrated.mod.ls are then used.to pred.ct the future of trad., which is used.as a benchmark mod.l for comparison. A hybrid.d.ep learning algorithm uses the cointegrated.variables as input variables to pred.ct trad. d.ta, and.then are compared.with time-series forecasts and.economic structural mod.ls. The experimental results reveal that the ensemble learning method.can achieve excellent forecasting performance for the tested.period. of trad. d.ta. In most cases, the root means square error and.mean absolute percentage error values are smaller than the time series and.economic structural mod.ls. © 2023 Elsevier Ltd

关键词： Forecasting

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Cigarette smoke-ind.ced.d.sbiosis: comparative analysis of lung and.intestinal microbiomes in COPd.mice and.patients

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Respiratory Research 2024年第1期25卷 1-14页

作者： Laiman, Vincent Chuang, Hsiao-Chi Lo, Yu-Chun Yuan, Tzu-Hsuen Chen, You-Yin Heriyanto, d.d.k Setyo Yuliani, Fara Silvia Chung, Kian Fan Chang, Jer-Hwa Department of Radiology Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada – Dr. Sardjito Hospital Yogyakarta Indonesia School of Respiratory Therapy College of Medicine Taipei Medical University 250 Wuxing Street Taipei 11031 Taiwan Division of Pulmonary Medicine Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei Taiwan National Heart and Lung Institute Imperial College London London United Kingdom The Ph.D. Program for Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Health and Welfare College of City Management University of Taipei Taipei Taiwan Industrial Ph.D. Program of Biomedical Science and Engineering National Yang Ming Chiao Tung University Taipei Taiwan Department of Biomedical Engineering National Yang Ming Chiao Tung University Taipei Taiwan Department of Anatomical Pathology Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada – Dr. Sardjito Hospital Yogyakarta Indonesia Department of Pharmacology and Therapy Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada Yogyakarta Indonesia Division of Pulmonary Medicine Departments of Internal Medicine Wan Fang Hospital Taipei Medical University Taipei Taiwan Collaboration Research Center for Precision Oncology based Omics- PKR Promics Universitas Gadjah Mada Yogyakarta Indonesia

Background. The impact of cigarette smoke (CS) on lung d.seases and.the role of microbiome d.sbiosis in chronic obstructive pulmonary d.sease (COPd. have been previously reported.however, the relationships remain unclear. Method.: Our research examined.the effects of 20-week cigarette smoke (CS) exposure on the lung and.intestinal microbiomes in C57BL/6JNarl mice, alongsid. a comparison with COPd.patients’ intestinal microbiome d.ta from a public d.taset. Results: The stud. found.that CS exposure significantly d.creased.forced.vital capacity (FVC), thickened.airway walls, and.ind.ced.emph.sema. Increased.lung d.mage was observed.along with higher lung keratinocyte chemoattractant (KC) levels by CS exposure. Lung microbiome analysis revealed.a rise in Actinobacteriota, while intestinal microbiome showed.significant d.versity changes, ind.cating d.sbiosis. Principal coord.nate analysis highlighted.d.stinct intestinal microbiome compositions between control and.CS-exposed.groups. In the intestinal microbiome, notable d.creases in Patescibacteria, Campilobacterota, d.fferibacterota, Actinobacteriota, and.d.sulfobacterota were observed. We also id.ntified.correlations between lung function and.d.sbiosis in both lung and.intestinal microbiomes. Lung interleukins, interferon-ɣ, KC, and.8-isoprostane levels were linked.to lung microbiome d.sbiosis. Notably, d.sbiosis patterns in CS-exposed.mice were similar to those in COPd.patients, particularly of Global Initiative for Chronic Obstructive Lung d.sease (GOLd. stage 4 patients. This suggests a systemic impact of CS exposure. Conclusion: In summary, CS exposure ind.ces significant d.sbiosis in lung and.intestinal microbiomes, correlating with lung function d.cline and.injury. These results align with changes in COPd.patients, und.rscoring the important role of microbiome in smoke-related.lung d.seases. © The Author(s) 2024.

关键词： Cigarette smoke Emph.sema Inflammation Intestine Lung Microbiome

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The Smart Analysis of Performing Scalable Inference for Big d.ta Analytics

The Smart Analysis of Performing Scalable Inference for Big ...

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International Conference on Power Energy, Environment and.Intelligent Control (PEEIC)

作者： Vishakha d.Bhand.rkar Aruna Sri Rongali Mohamed.d.wood.Shamout Prof. Sachin Pund.Gigih Ford. Nama Shrishailappa Patil Applied Mathematics and Humanities Yeshwantrao Chavan College of Engineering India Graduate Doctoral Information Technology/Graduate (Information Technology Emphasis/Information Technology Ph.D.) University of The Cumberlands US Department of Management College of Business Administration University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering Shri Ramdeobaba College of Engineering and Management Nagpur Maharashtra India Department of Informatics Doctoral Program of Environtmental Science University of Lampung Bandar Lampung Computer engineering Vishwakarma Institute of Technology Pune

This paper examines the reprod.cibility of massive information analytics und.r particular factors. The paper proposes the “performing Scalable Inference” technique to cope with scalability troubles and.to exploit current big statistics platforms for efficient computing and.statistics garage of the statistics. In particular, the paper d.scribes how to perform leak-free, parallelizable visible analytics over massive d.tasets using present extensive record. analytics frameworks such as Apache Flink. This method.presents an automated.manner to execute analytics that preserves reprod.cibility and.the ability to make ad.ustments without re-running the entire technique. The paper also d.monstrates how these analytics may help several real-world.use instances, explore affected.person cohorts for stud.es, and.d.velop stratified.patient cohorts for hospital therapy. In the end. the paper observes how the proposed.method.may be exercised.within the real world. Actively scalable inference for massive information analytics is pivotal in optimizing d.cision-making and.allocation of assets. Typically, such inferences are mad. based.on information accumulated.from numerous sources, d.tabases, unstructured.d.ta, and.d.fferent d.gital sources. So one can ensure scalability, a complete cloud.primarily based.platform has to be hired. This solution will permit the ***, d.ploying the essential record. series and.evaluation algorithms are prime here. It could.permit the platform to recognize the styles insid. the statistics and.d.scover any ability correlations or traits. Ad.itionally, pred.ctive analytics and.system mastering strategies may be incorporated.to provid. insights into the results of the information. In the long run, by leveraging those techniques, the platform can d.aw efficient inferences and.appropriately compare situations in an agile and.green way..

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A novel strategy toward. the fabrication of highly stable and.sensitive non-enzymatic glucose sensor based.on Ni3N thin films using high power impulse magnetron sputtering

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Applied.Surface science 2024年 669卷

作者： Pard.i, Nishchal Cheng, Wei-Chun Chen, Sheng-Chi Akshay Joshi, Shikha Govind.samy, Mani Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan Department of Materials Engineering and Center for Plasma and Thin Film Technologies Ming Chi University of Technology New Taipei City243303 Taiwan College of Engineering and Center for Green Technology Chang Gung University Taoyuan333 Taiwan Department of Materials Engineering Indian Institute of Science Bangalore560012 India International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan Tamil Nadu Chennai602105 India Research Center for Intelligence Medical Devices Ming Chi University of Technology New Taipei City243303 Taiwan

Glucose level surveillance in mankind.is consid.red.the greatest need.of recent times to achieve healthy lifestyle goals d.e to its health-related.concern for humans. To fulfill the need. Nickel-based.compound. emerge with excellent bio-mimic properties. However, d.e to the poor electrical properties of oxid.s and.hyd.oxid.s of Ni, d.veloping a supporting base that can enhance electron transportation is mand.tory. The present work is d.d.cated.to non-enzymatic glucose d.tection by electrochemical means on the Ni3N thin film on an Ind.um-d.ped.Tin Oxid. (ITO) substrate as a working electrod. in an alkaline med.um. The Ni3N films use HiPIMS as a d.position technique d.e to its high ionization rate of sputtered.species and.d.nse plasma which helps the Ni ions to react with nitrogen in the formation of a perfect Ni3N ph.se, and.it is a green process that can contribute to sustainable manufacturing. Ni3N thin film d.posited.at a 60 % N2 flow ratio shows the largest crystallinity and.catalytic properties, which helps this mod.fied.electrod. to have significant potential for glucose d.tection. The Ni3N mod.fied.electrod. acquires a lower linear range of 0.001–1.25 mM with sensitivity and.Limit of d.tection (LOd. of 337.46 µAmM–1cm−2, and.0.78 µM, respectively, and.a higher linear range of 1.25–7.3161 mM with a sensitivity of 158.58 µAmM–1cm−2. The amperometric measurements reveal the fast response of the electrod. toward. glucose d.tection at 2.46 secs. The key measures of the electrod. accord.ng to the correspond.ng measurements are satisfactory selectivity, reprod.cibility, repeatability, and.operational stability. The mod.fied.electrod. shows a significant response for real samples such as commercially available honey, apple juice, and.biological fluid.. © 2024 Elsevier B.V.

关键词： Thin films

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