Suchergebnisse - "Grunwald-Letnikov method"
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1
Autoren:
Quelle: JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 8, Iss 4, Pp 1183-1201 (2024)
Schlagwörter: seiar-v model, covid-19 model, basic reproduction number, fractional model, grunwald-letnikov method., Mathematics, QA1-939
Dateibeschreibung: electronic resource
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Autoren: JALALI, SEYED RASOUL
Schlagwörter: Hamzah Equation, ψ–Hamzah Model, insulin resistance, Type 2 Diabetes, diabetes treatment, fractional calculus, nonlinear differential equations, fractal mathematics, fractional derivatives, insulin signaling, glucose metabolism, cellular memory, biointegral formulation, epigenetic regulation, inflammation control, AMPK activation, GLUT4 transport, β-cell restoration, oxidative stress, mitochondrial dysfunction, nanomedicine, nanovaccine, CRISPR nanoparticles, immunotherapy, immune regulation, Tregs activation, cytokines, TNF-α, IL-6, NF-κB inhibition, personalized medicine, metabolic reprogramming, metabolic inflammation, insulin receptor reconstruction, Sirtuin activators, resveratrol, curcumin, polyphenols, nanoparticle drug delivery, pharmacokinetics, pharmacodynamics, pharmacogenomics, bioinformatics, computational biology, Bergman minimal model, classical ODE limitations, nonlinear system modeling, glucose oscillations, insulin fluctuations, metabolic syndrome, obesity, fatty liver, neurodegeneration, Alzheimer's disease, stroke prevention, cardiovascular risk, kidney failure, immunological pathways, chronic disease modeling, quantum consciousness, biological regulation, quantum field theory in biology, nanovaccine stability, immune tolerance, regenerative medicine, metabolic balance, biophysics of diabetes, epigenetic normalization, GLUT4 sensitivity, AMPK pathway restoration, IRS-1 signaling, PI3K-AKT pathway, CRISPR therapy, molecular nanodynamics, vaccine design, oral drug formulation, pharmacological modeling, Grunwald-Letnikov method, Runge-Kutta simulation, nonlinear dose modeling, metabolic homeostasis, bioavailability, therapeutic stability, nanoparticle encapsulation, CpG oligonucleotides, lipid nanoparticles, PEGylation, endocytosis, gene therapy, metabolic supplements, NAD+, berberine, butyrate, zinc carnosine, piperine, slow release drug, absorption enhancement, microbiome interaction, circadian glucose fluctuations, oscillatory phenomena, inflammation reduction, adipose tissue regulation, skeletal muscle insulin sensitivity, hepatic glucose uptake, immune checkpoint modulation, vaccine immunogenicity, nanovaccine efficacy, chronic hyperglycemia, hypoglycemia prevention, diabetic neuropathy, diabetic retinopathy, diabetic nephropathy, long-term treatment stability, WHO global diabetes statistics, FDA regulations on biologics, EMA guidance, JAMA diabetes studies, Lancet clinical evidence, NEJM treatment outcomes, Science immunology studies, Nature biotechnology reports, BMJ metabolic research, translational medicine, clinical pharmacology, molecular biology, systems biology, computational simulations, bioengineering, synthetic biology, vaccine formulation, GMP conditions, cGLP compliance, microfluidic nanoprecision, biological memory kernels, nonlinear epigenetics, phase rhythms in biology, fractal-interleaved tissue modeling, complex feedback in endocrine system, endocrine-immune cross-talk, neuroimmune regulation, AMPK reactivation, GLUT4 translocation, inflammatory gene suppression, NF-κB inhibition, Treg induction, metabolic improvement, HbA1c reduction, human phase trials, preclinical animal models, personalized drug dosing, epigenetic stabilization, oral bioengineering, renal clearance, hepatic clearance, pharmacological safety, drug toxicity, hypoglycemia risk elimination, obesity management, lifestyle independence, metabolic recalibration, nanovaccine clinical design, therapeutic modeling, insulin therapy alternatives, advanced diabetes reversal, global health innovation, biotechnology breakthroughs, mathematical modeling of diseases, fractional epigenetic memory, insulin receptor sensitivity modeling, drug metabolism kinetics, plasma concentration modeling, immune system modulation, vaccine adjuvants, metabolic signal restoration, biomolecular dynamics, chronic systemic inflammation, endocrine brain immune feedback, molecular pathway stability, nanotherapeutics, translational research in diabetes, bio-mathematical chaos, immune-adaptive vaccines, metabolic re-education, drug delivery stability, regenerative nanomedicine, human clinical validation, FDA approval pathways, WHO fast-track innovation, future of diabetes care, Type 2 Diabetes Mellitus, T2DM, insulin resistance, insulin-resistant diabetes, hyperglycaemia, glucose intolerance, impaired glucose uptake, pancreatic β-cells, β-cell dysfunction, metabolic syndrome, obesity, overweight, adiposity, insulin receptor, insulin signalling, GLUT4 transporters, glucose transport, glycogen metabolism, hepatic gluconeogenesis, adipose tissue metabolism, skeletal muscle metabolism, mitochondrial dysfunction, oxidative stress, reactive oxygen species, ROS, chronic inflammation, inflammatory cytokines, TNF-alpha, IL-6, CRP, NF-κB pathway, JNK pathway, AMPK pathway, mTOR signalling, PI3K/Akt pathway, epigenetic regulation, DNA methylation, histone modification, noncoding RNA, microRNA, long noncoding RNA, genetic predisposition, LMNA gene, Progerin connection, progression of insulin resistance, comorbidities, cardiovascular disease, hypertension, atherosclerosis, stroke, nephropathy, diabetic kidney disease, neuropathy, peripheral neuropathy, retinopathy, diabetic blindness, limb amputation, premature death, metabolic complications, pharmacological treatment, metformin, sulfonylureas, DPP-4 inhibitors, GLP-1 agonists, SGLT2 inhibitors, insulin therapy, combination therapy, limitations of classical models, ODE limitations, linear modelling, reductionist medicine, failure of glycaemic control, side effects, weight gain, hypoglycaemia, gastrointestinal distress, drug resistance, ψ–Hamzah Model, Seyed Rasoul Jalali, Hamzah Equation, fractional calculus, fractional derivatives, fractional-order modelling, fractal modelling, fractal dynamics, memory kernels, long-range dependence, oscillatory–fractional feedback, stochastic fluctuations, chaos theory in metabolism, computational biomedicine, non-linear dynamics, predictive modelling, disease simulation, digital twin, digital twin of diabetes, personalised medicine, AI in diabetes, artificial intelligence, machine learning, deep learning, predictive analytics, adaptive feedback, real-time monitoring, glucose sensors, continuous glucose monitoring, CGM, insulin pumps, closed-loop systems, artificial pancreas, AI-enhanced closed loop, nanotechnology in diabetes, nanomedicine, nanoparticles, nanocarriers, PEGylated nanoparticles, lipid nanoparticles, polymer nanoparticles, silica nanoparticles, gold nanoparticles, magnetic nanoparticles, multifunctional nanoparticles, bioactive coatings, controlled-release nanoparticles, oral nanomedicine, injectable nanomedicine, targeted nanotherapy, liver-targeting nanoparticles, adipose-targeting nanoparticles, skeletal muscle-targeting nanoparticles, nanoparticle insulin delivery, siRNA nanocarriers, gene editing nanocarriers, CRISPR delivery nanoparticles, nanoparticle vaccine against insulin resistance, therapeutic nanoscaffolds, regenerative nanomedicine, stem cell therapy, mesenchymal stem cells, iPSCs, β-cell regeneration, islet transplantation, islet encapsulation, xenotransplantation, immunomodulation, immune tolerance, autoimmune diabetes overlap, metabolic reprogramming, systemic rejuvenation, mitochondrial biogenesis, PGC-1α activation, sirtuins, NAD+ metabolism, nicotinamide riboside, NMN, antioxidant therapy, glutathione stabilisation, catalase mimetics, superoxide dismutase mimetics, anti-inflammatory nanomedicine, metabolic homeostasis, weight management, lifestyle interventions, diet therapy, ketogenic diet, intermittent fasting, Mediterranean diet, exercise therapy, physical activity, resistance training, aerobic training, circadian rhythm regulation, sleep optimisation, stress management, holistic diabetes care, integrative medicine, translational medicine, regenerative medicine, clinical validation, preclinical studies, rodent models, primate models, human trials, clinical trials, FDA approval, EMA evaluation, WHO endorsement, compassionate use, global health, diabetes epidemic, healthcare innovation, paradigm shift in metabolic medicine, revolutionary diabetes treatment, ψ–Hamzah innovation, scientific originality, IP protection, biomedical patents, WIPO standards, reproducibility, scalability, personalised nanomedicine, AI-enhanced nanotherapy, quantum-informed medicine, post-quantum medicine, computational validation, predictive neuromedicine, systemic resilience, long-term remission, diabetes cure, future of metabolic medicine, transformative medicine, patient-centred care, scientific ethics, integrative bioengineering
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3
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Alexandria Engineering Journal, Vol 60, Iss 6, Pp 5157-5165 (2021)
Schlagwörter: White and Comiskey Model, Adams Bashforth Moulton method, Heroin Epidemics, Stability analysis, Engineering (General). Civil engineering (General), 01 natural sciences, White and Comiskey model, Adams Bashforth Moulton Method, 3. Good health, Grunwald-Letnikov Method, Stability Analysis, Grunwald-Letnikov method, Heroin epidemics, TA1-2040, 0101 mathematics
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: InPrime, Vol 4, Iss 1, Pp 33-48 (2022)
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Autoren: et al.
Quelle: Advances in Difference Equations, Vol 2019, Iss 1, Pp 1-27 (2019)
Schlagwörter: Measles model, Stability, Generalized Euler Method, Grunwald Letnikov Method, Binomial Coefficients, Fractional Derivatives, Mathematics, QA1-939
Dateibeschreibung: electronic resource
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6
Autoren:
Quelle: Advances in Difference Equations, Vol 2018, Iss 1, Pp 1-23 (2018)
Schlagwörter: dengue model, fractional derivatives, stability, predictor-corrector method, Grunwald-Letnikov method, Mathematics, QA1-939
Dateibeschreibung: electronic resource
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7
Autoren:
Quelle: Journal of Fundamental Mathematics and Applications (JFMA); Vol 6, No 1 (2023); 54-70 ; 2621-6035 ; 2621-6019
Schlagwörter: HIV-Model, Fractional Order, Basic Reproduction Number, Grunwald-Letnikov Method
Dateibeschreibung: application/pdf
Relation: https://ejournal2.undip.ac.id/index.php/jfma/article/view/17174/9623; https://ejournal2.undip.ac.id/index.php/jfma/article/view/17174
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Autoren: et al.
Quelle: InPrime: Indonesian Journal of Pure and Applied Mathematics; Vol 4, No 1 (2022); 33-48 ; 2716-2478 ; 2686-5335
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: International Journal of Biomathematics. 11:1850077
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Autoren:
Quelle: JTAM (Jurnal Teori dan Aplikasi Matematika); Vol 8, No 4 (2024): October; 1183-1201; 2614-1175; 2597-7512
Index Begriffe: SEIAR-V Model; COVID-19 Model; Basic Reproduction Number; Fractional Model; Grunwald-Letnikov Method., info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion, Peer-reviewed Article
URL:
http://journal.ummat.ac.id/index.php/jtam/article/view/24711 http://journal.ummat.ac.id/index.php/jtam/article/view/24711/pdf http://journal.ummat.ac.id/index.php/jtam/article/downloadSuppFile/24711/8772 http://journal.ummat.ac.id/index.php/jtam/article/downloadSuppFile/24711/8968 http://journal.ummat.ac.id/index.php/jtam/article/view/24711/pdf http://journal.ummat.ac.id/index.php/jtam/article/downloadSuppFile/24711/8772 http://journal.ummat.ac.id/index.php/jtam/article/downloadSuppFile/24711/8968
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