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Journal of Applied Material Science & Engineering Research(AMSE)

ISSN: 2689 1204

Researchers and authors can directly submit their manuscript online through this link Online Manuscript Submission.

Volume 6, Issue 2

Viscoelasticity and Viscoplasticity in Medicine

DOI: doi.org/10.33140/JAMSER.06.02.070
Research Article
Viscoelastic and viscoplastic Glucose Theory (VGT #26): Investigation of the Relationships between an Overall Metabolism Index and type 2 Diabetes Utilizing HbA1C, Diabetic Nephropathy via Urinary Albumin-to-Creatinine Ratio, along with Diabetic Retinopathy with Hypothyroidism through Thyroid Stimulating Hormone using Statistical Correlation Coefficient and VGT of GH-Method: Math-Physical Medicine (No. 607)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.069
Research Article
Viscoelastic glucose theory (VGT #27): Applying the Concept of Viscoelasticity Theory and using the Estimated Daily Glucose (eAG) over a 3.8-Year Period from 5/8/2018 to 2/17/2022 as the Strain to Study the Role and Influences of the Corresponding Stress as well as their Impact on the Predicted eAG Results Based on the GH-Method: Math-Physical Medicine (No. 608)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.068
Research Article
Viscoelastic Glucose Theory (VGT #28) & Nonlinear Plastic Glucose Theory (NPGT #7): Nonlinear Dynamic Plastic and Viscoplastic Glucose Behaviors Versus Linear Elastic Glucose Behavior of Postprandial Plasma Glucose (PPG) Waveforms over a 3.8-Year Period from 5/8/2018 to 2/18/2022 along with the Plastic PPG Waveforms Impact on the Cardiovascular Disease Risk Probability Based on the GH-Method: Math-Physical Medicine (No. 609)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.067
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #29): Applying viscoelastic Glucose Theory with CGM Sensor Measured Fasting Plasma Glucose (FPG) Values as the Strain along with the FPG Change Rate Multiplied by a Viscosity Factor as the Stress, and Finally Utilizing the Viscoelastic Perturbation Model to Calculate the Predicted FPG Values to Compare Against the Measured FPG Values Based on GH-Method: Math-Physical Medicine (No. 610)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.066
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #30): Applying VGT with Two Different CGM Sensor Measured 3-Hour Postprandial Plasma Glucose (PPG) Values from 240 Liquid Egg Meals and 191 Solid Egg Meals as the Strain, Along with the PPG Change Rate Multiplied by a Viscosity Factor of Average Carbs/Sugar Amounts for Each Egg Meal Type as the Stress, and then Applying the Viscoelastic Perturbation Model to Calculate Two Predicted PPG Values to Compare Against Two Measured PPG Values Based on GH-Method: Math-Physical Medicine (No. 611)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.065
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #31): Applying VGT with Two Different CGM Sensor Measured 2-Hour Postprandial Plasma Glucose (PPG) values from 240 Liquid Egg Meals and 191 Solid Egg Meals as the Strain, along with the PPG Change Rate Multiplied by a Viscosity Factor of Average Carbs/ Sugar Amounts for Each Egg Meal Type as the Stress, and then Applying the Viscoelastic Perturbation Model to Calculate Two Predicted PPG Values to Compare Against Two Measured PPG Values Based on GH-Method: Math-Physical Medicine (No. 612)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.064
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #32): A Step-By-Step Illustration of how to Apply VGT and Viscoelasticity Perturbation Model with the Average Value of normalized body weight and body temperature in early morning as the viscosity factor to predict average fasting plasma glucose values over 7-hours of sleep time based on GH-Method: math-physical medicine (No. 613)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.063
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #33): Applying VGT and Viscoelastic Perturbation Model and Using the Combined Values from Carbs/ Sugar Intake Amount with GH.p-Modulus and Post-Meal Walking k-Steps with GH.w-Modulus as the Constant Viscosity Factor to Predict the K-line PPG Values from 8/8/2018 to 2/25/2022 Based on GH-Method: Math-Physical Medicine (No.614)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.062
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #34): Applying VEGT and Viscoelastic Perturbation Model and Using Carbs/Sugar Intake Amount Along with Post-Meal Walking K-Steps as Two Constant Viscosity Factors to Predict Two LEGT PPG Values from 8/8/2018 to 2/26/2022 Based on GH-Method: Math-Physical Medicine (No. 615)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.061
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #35): Applying the VEGT or VPGT to Study the Cardiovascular Disease Risk Probability Percentage Versus Medical Conditions and Lifestyle Details over a 10+ Year Period from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 616)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.060
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #36): Applying the VEGT or VPGT to Study the Cancer Risk Probability Percentage Versus Medical Conditions and Lifestyle Details over 10+ Years from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 617)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.059
Research Article
Viscoelastic or viscoplastic glucose theory (VGT #37): Applying the VEGT or VPGT to study body weight versus sleep score and food quantity to predict body weight using viscoelastic perturbation model over 13 semi-annual periods from Y15H2 to Y21H2 based on the GH-Method: math-physical medicine (No. 618)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.058
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #38): Applying VEGT or VPGT to Study Fasting Plasma Glucose (FPG) Versus Sleep, Weight, and HbA1C to Predict FPG Using Viscoelastic Perturbation Model over 13 Semi-Annual Periods from Y15H2 to Y21H2 Based on the GH-Method: Math-Physical Medicine (No.619)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.057
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #39): Applying the VEGT or VPGT to Study the Effect of Role Switching for Cause and Symptom, CVD Risk Versus Cancer Risk and Cancer Risk Versus CVD Risk, and using Viscoelastic Perturbation Model to Predict the Risks of Having CVD or Cancer Using Calculated Risk Data of a 12+ Years Period from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 620)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.056
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #40): Applying VGT to Study the Relationship for Two Input Biomarkers, Finger-Piercing Glucose (m2) vs. a Combination of Blood Pressure and Heart Rate (m3), Using Viscoelastic Perturbation Model to Predict the Finger-Piercing Glucose over an 8+ Year Period from Y2014 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 621)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.055
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #41): Applying VGT to Study the Relationship of CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) and its Calculated HbA1C, while using the Viscoelastic Perturbation Model to Predict Two CVD Risk % Values over a 15-Month Period from October of Y2020 to February of Y2022 Based on the GH-Method: Math-Physical Medicine (No. 622)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.054
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #42): Using Statistical Correlation as an Initial Examination Tool Before Applying VGT to Study the Inter-Relationships of the CVD Risk Probability % Versus Sensor Daily Average Glucose (eAG) & HbA1C, Before Applying the Viscoelastic Perturbation Model to Predict Two CVD Risk Probability % over a 46-Month Period from May of Y2018 to February of Y2022 Based on the GH-Method: Math-Physical Medicine (No. 623)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.053
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #43): A Research of Statistics Methods Influences on Math-Physical Medicine Subjects by using Statistical Correlations as Initial Examination Tool to Explore the Inter-Relationships of Three Selected Biomarkers, CVD Risk %, Averaged Daily Glucose (eAG), and HbA1C % (A1C), within Three Different Selected Time-Windows, 15-Months, 46-Months, and 8.2 Years (98-Months), also Applying VGT and Viscoelastic Perturbation Model to Predict Three Sets of Predicted CVD Risk % Based on the GH-Method: Math-Physical Medicine (No. 624)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.052
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #44): Applying VGT to Study the Relationship of CGM Sensor Fasting Plasma Glucose (FPG) Versus Body Temperature in Early Morning, While Using a Viscoelastic Perturbation Model to Predict FPG values over a 18-Month Period from 10/1/2020 to 3/7/2022 Based on the GH-Method: Math-Physical Medicine (No. 625)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.051
Research Article
Viscoelastic and Viscoplastic Glucose Theory Applications (VGT #45): Applying the Physics Concepts of Viscoelasticity and Viscoplasticity to Estimate the “Difference of Relative Energy Level” Measured by the Hysteresis Loop Area, a Biophysical and Engineering Phenomenon, along with the Carbs/Sugar Intake Grams, a Biomedical-Related Key Lifestyle Detail, from Inputs of Three Distinctive PPG Ranges to Provide a Guesstimated Damage Level of Internal Organs Resulted from Hyperglycemia Based on the GH-Method: Math-Physical Medicine (No.630)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.050
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #46): Using Viscoplasticity/Viscoplasticity to Explore the Inter-Relationships on CVD Risk % Versus Sensor Measured Fasting Plasma Glucose and Body Weight Based on Eight Collected Semi-Annual Data over an ~4-Year Period from 5/8/2018 to 3/20/2022 using the GH-Method: Math-Physical Medicine (No. 631)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.049
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #47): Using Viscoplasticity/ Viscoplasticity to Explore the Inter-Relationships on Cancer risk % Versus Sensor Measured Fasting Plasma Glucose and Body Weight Based on Eleven Collected Annual Data over a 10+ Year Period From 1/1/2012 to 3/20/2022 using the GH-Method: Math-Physical Medicine (No. 632)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.048
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #48): Investigating the Role of Strain, Strain Rate, and the Viscosity Factor in Biomedical VGT Applications using Sensor FPG Versus Body Weight over 18 Months from 10/1/2020 to 3/23/2022, along with Finger FPG Versus Body Weight over 11 Years from 1/1/2012 to 3/23/2022, with Biomedical Illustrations of the Physics and Engineering Analysis Results Based on the GH-Method: Math-Physical Medicine (No. 633)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.047
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #49): Investigating the Contribution Margin of Carbs/Sugar Intake Amount and Post-Meal Walking k-Steps on PPG Formation using 4 Validations: VGT (Viscoelasticity/Plasticity Theory), LEGT (Linear Elastic Glucose Theory), EFT (Energy Theory via Fourier Transform), along with 8 Sub-Cellular Pathology Pathways with Sensor PPG, carbs, and k-Steps Data from an ~4-Year Period from 5/8/18 to 3/25/2022 Based on the GH-Method: Math-Physical Medicine (No. 634)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.046
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #50): Studying the Role and Impact of the Viscosity Factors (Body Weight and Body Temperature) on Sensor Collected FPG (Symptom or Strain) using a Stress-Strain Diagram from the Viscoelasticity/Plasticity Theory with Measured and Normalized Data over 18 Months from 10/1/2020 to 3/27/2022 Based on the GH-Method: Math-Physical Medicine (No. 635)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.045
Research Article
Applying Linear Elastic Glucose Theory (LEGT) and Viscoelastic or Viscoplastic Glucose Theory (VGT) While using Data Collected over an ~7-Year Period, from 7/1/2015 to 3/30/2022, Organized into 8 Annual Data Points, 81 Monthly Data Points, and 2,463 Daily Data Points, along with a Biomedical Explanation of 8 Sub-Cellular Pathology Pathways of Chronic Diseases to Study the Relationship among Pancreatic Beta Cells Health State, Diet, Exercise, and Glucose Based on the GH-Method: Math-Physical Medicine (LEGT #40, VGT #51, & No. 638)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.044
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT#52): Applying VGT and using Collected the Annual Average Data from Y2015 to Y2022 to Study the InterRelationships among Carbs/Sugar Intake Amount in Grams, Total Food Intake Quantity in Calories, Postprandial Plasma Glucose, and Body Weight in the Early Morning Based on the GH-Method: Math-Physical Medicine (No. 639)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.043
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT#53) Applying VGT for Selecting an Appropriate Conversion Factor from Finger-Pierced Daily Estimated Average Glucose (eAG) to a Predicted Finger A1C (F.A1C) and using Collected Annual Average Data from Y2012 to Y2022 to Study the Inter-Relationships Among Lab-Tested A1C, Calculated Finger A1C, and Finger-Pierced eAG Based on the GH-Method: Math-Physical Medicine (No. 640)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.042
Research Article
Viscoelastic or viscoplastic glucose theory (VGT #54): Estimating relative energy carried by glucose under the influence of body weight while using the collected data from the daily estimated average glucose and body weight in the early morning over three triple-year periods, Y2013-Y2015, and Y2016-Y2018, Y2019-Y2021, along with the application of a VGT tool and frequency domain energy method based on GH-Method: math-physical medicine (No. 642)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.041
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #55): Estimation of Relative Energy Associated with Different Calculated CVD risk % under the Influence of the Estimated Average Glucose and Body Weight in the Early Morning Over Three Triple-Year Sub-Periods, Y2013-Y2015, Y2016-Y2018, and Y2019-Y2021, with the Application of a VGT Tool and Frequency Energy Methods Based on GH-Method: Math-Physical Medicine (No. 643)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.040
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #56): Using the VGT Tool to Estimate the Relative Energy Associated with Different Calculated Annual Cancer Risk Percentages Under the Influence of Estimated Average Glucose (eAG) and Body Weight in the Early Morning (BW) over two 5-Year Periods, Y2012-Y2016 and Y2017-Y2021, Based on GH-Method: Math-Physical Medicine (No. 644)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.039
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #57): Using the VGT Tool to Estimate the Relative Energy Associated with Chronic Kidney Disease (CKD) Risk Probability Percentages Under the Influence of Hemoglobin A1C (A1C) and Urine Albumin to Creatinine Ratio (ACR) over Two 6-Year Periods, Y2010-Y2015 Versus Y2016-Y2021, Based on GH-Method: Math-Physical Medicine (No. 645)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.038
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #58): Using the VGT Energy and Frequency Energy to Estimate the Relative Energy Associated with Diabe tic Retinopathy (DR) Risk Probability Percentages under the Influence of Lab-Tested A1C (L.A1C) and Finger-Pierced A1C (F.A1C) over Two 6-Year Periods, Y2010-Y2015 Versus Y2016-Y2021 Based on GH-Method: Math-Physical Medicine (No. 646)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.037
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #59): Using the VGT Energy and Frequency Energy to Estimate the Relative Energy Associated with Cardiovascular Disease (CVD) Risk Probability Percentages under the Influence of the Lab-Tested A1C (L.A1C) and Metabolism Index (MI) over Two 6-Year Periods, Y2010-Y2015 Versus Y2016-Y2021 Based on GH-Method: Math-Physical Medicine (No. 647)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.036
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #60): A Summary Report on Four Complication Risk Probability Percentages with Their Two Selective Causes and Using Both VGT Energy and Frequency Energy Methods to Estimate the Relative Energy Associated with Each Complication over Two 5-Year or 6-Year Periods Based on GH-Method: Math-Physical Medicine (No. 648)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.035
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #61): A Simplified Mathematical Model to Estimate Pancreatic Cancer (PC) Risk Probability Percentages and its Moving Trend over an ~7 Years Period from Y2015 to Y2022 using Hyperglycemia, Insulin Resistance, Obesity, Chronic Inflammation, and Metabolism Index as the PC Risk’s 5 Contribution Factors Based on GH-Method: Math-Physical Medicine (No. 649)
Author(s): Gerald C Hsu
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Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #62): A Simplified Mathematical Model to Estimate Liver Cancer Risk Probability Percentages and its Moving Trend over 12+ Years from 1/1/2010 to 4/14/2022 using Type 2 Diabetes HbA1C, Obesity, Blood Lipids, and Metabolism Index as the Liver Cancer Risk’s 4 Influential Factors Based on GH-Method: Math-Physical Medicine (No. 650)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.033
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #63): A Summary Report on the Annual Relative Risks of Developing Pancreatic, Liver, and Various Cancers Using Various Influential Factors such as HbA1C, Glucose, Insulin Resistance, Lipids, Weight, Diet, Walking Steps, and Metabolism Index from the Collected Data of a Type 2 Diabetes Patient over an ~12+ Years Period Based on GH-Method: Math-Physical Medicine (No. 651)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.032
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #64): Estimated Risk Probability Percentages of Prostate Cancer and its Moving Trend over 12+ Years from 1/1/2010 to 4/18/2022 using Metabolism Index, Obesity, Diet, and Exercise as the 4 Influential Factors for Prostate Cancer Risk % Based on GH-Method: Math-Physical Medicine (No. 653)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.031
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #65): Estimated Risk Probability Percentages of having Kidney Cancer and its Moving Trend over a 7+-Year Period from 1/1/2015 to 4/20/2022 using a Combined Score of Hyperglycemia, Insulin Resistance, Hypertension, and Albumin-to-Creatinine Ratio, Obesity, Diet, and Exercise as the 4 Key Influential Factors for Developing Kidney Cancer Based on GH-Method: Math-Physical Medicine (No. 654)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.030
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #66): Relative Risk Probability of Developing Ovarian and/or Uterine Cancers in Female Patients Using a type 2 Diabetes and Obesity Patient Collected Data over 12+ Years from 1/1/2010 to 4/23/2022 with 5 Gender-Independent Generic Cancer Risk Factors, i.e. Obesity, Diabetes, Lipids, Diet, and Exercise to Validate the Suitability of VGT Tool for Gynecological Cancer Study Based on GH-Method: Math-Physical Medicine (No. 655)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.029
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #67): A Summarized Report of the Relative Risk Probability Percentages of Developing Five Cancer Types Associated with Pancreatic, Liver, Prostate, Kidney, and Ovarian/Uterine Using their Respective Risk Factors to Validate the Suitability of the VGT Tool on Cancer Research Based on GH-Method: Math-Physical Medicine (No. 656)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.028
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #67): A Study of Postprandial Plasma Glucose Versus Carbohydrates & Sugar Intake Grams and Daily Walking Steps Using a Customized Software Program and VGT Energy Tool from Physics and Engineering Based on GH-Method: Math-Physical Medicine (No. 657)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.027
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #69): A Study of Cardiovascular Disease (CVD) Risk Probability % Versus m2 (glucose), m3 (Blood Pressure), and m4 (blood lipids) Using a Customized Software Program and VGT Energy Tool from Physics and Engineering Based on GH-Method: Math-Physical Medicine (No. 658)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.026
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #70): A Study of Biophysical Characteristics of Strain and Stress Using Risk Probability % of Cardiovascular Disease (CVD), Chronic Kidney Disease (CKD), and Cancers Versus the Same Set of Three Selected Viscosity Factors or Risk Factors, m2 (glucose), m3 (blood pressure), and m4 (blood lipids) Using a Customized Software Program and VGT Energy Tool from Physics and Engineering Based on GH-Method: Math- Physical Medicine (No. 659)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.025
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #71): A Hyperglycemic Scenario of Postprandial Plasma Glucose (Hi-PPG) Resulted from Large Amounts of Carbohydrates and Sugar Intake (carbs) and Insufficient Post-Meal Walking Steps (steps) from a Type 2 Diabetes Patient’s Data using a Customized Software Program and Applying the VGT Energy Tool Based on GH-Method: Math-Physical Medicine (No. 660)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.024
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #72): Risk of Developing Complications, Such as CVD, CKD, and Cancers, resulting from Different Distribution Percentages between Normal PPG Meals Versus Hyperglycemic PPG Meals for a Type 2 Diabetes Patient using a Customized Software Program and VGT Energy Tool Based on GH-Method: Math-Physical Medicine (No. 661)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.023
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #73): A Study on a Chain-Effect of Multiple Causes Versus Single Symptom Starting with Lifestyle Through Diabetes, Cardiovascular Disease, and Cancers to Longevity using a Type 2 Diabetes Patient’s Collected Data of Lifestyle and Biomarkers by Applying the VGT Energy Tool from Physics and Engineering Based on GH-Method: Math- Physical Medicine (No. 663)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.022
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #74): A Neuroscientific Study on the Neural Communication Model Between the Brain and Gastrointestinal Organs, Liver, and Pancreas with Regards to the Postprandial Plasma Glucose Levels and Insulin using a Collected Data of 484 Meals with 247 Liquid Egg and 237 Solid Egg Meals over the Past 4 Years from 5/8/2018 to 5/9/2022 Based on VGT Energy Tool and GH-Method: Math-Physical Medicine (No. 664)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.021
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #75): A Study of 4 Postprandial Plasma Glucose Fluctuation (PPG-GF) Components Versus Carbohydrates & Sugar Intake Amounts (Carbs) and Post-Meal Walking Steps (Steps) using the Collected Data over the Past 4 Years from 5/8/2018 to 5/10/2022 Based on VGT Energy Tool and GH-Method: Math-Physical Medicine (No. 665)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.020
Research Article
Linear Elastic Glucose Theory (LEGT #40) & Viscoelastic or Viscoplastic Glucose Theory (VGT #76): Comparing the Results from using LEGT Prediction Tool Versus VGT Energy Tool to Study Postprandial Plasma Glucose (Symptom) Versus Fasting Plasma Glucose, Carbohydrates & Sugar Intake Amounts, and Post-Meal Walking Steps (causes) Based on GH-method: Math-Physical Medicine (No. 666)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.019
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #77): A Comparison Study of Applying the VGT Energy Tool to Study the Symptom of Glucose Fluctuation (GF) of Postprandial Plasma Glucose Versus 3 Causes of Fasting Plasma Glucose, Carbohydrates & Sugar Intake Amounts, Post-Meal Walking Steps from using Two Different Input Datasets of Both Measured Causes and Normalized Causes Based on GH-Method: Math-Physical Medicine (No. 667)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.018
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #78): A Sensitivity Analysis of the Baseline Selection for Normalized Fasting Plasma Glucose to Study Two Symptoms of Postprandial Plasma Glucose and Glucose Fluctuation Versus 3 Causes of FPG, Carbohydrates/Sugar Grams, and Post-Meal Walking Steps Based on GH-Method: Math-Physical Medicine and the Utilization of the VGT Energy Tool (No. 668)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.017
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #79): A Sensitivity Analysis on Selecting Normalization Baselines for 3 Viscosity Factors, Fasting Plasma Glucose, Sleep Scores, and Sleep Hours to Study a Single Symptom of HbA1C Versus 3 Measured Causes using 3 Domain Analyses of Time, Space, and Frequency Based on GH-Method: Math-Physical Medicine (No. 669)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.016
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #80): Applying VGT Energy Theories to Study the Residual Effect on Body Weight and Postprandial Plasma Glucose by Comparing Two Different Periods of Rich and Heavy Meals and Hyperglycemic Meals Based on GH-Method: Math-Physical Medicine (No. 670)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.015
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #81): An Economics Study During 2+ Years from Y2020Q1 to Y2022Q1 Investigating the Influences on the US National GDP from Two Input Variables of the National Inflation Rates and COVID Pandemic Death Cases Based on GH-Method: Math-Physical Medicine, Especially the VGT Energy Tool (No. 671)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.014
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #82): An Investigation of Economics Markers Versus COVID Pandemic Markers During 9 Quarters from Y2020Q1 to Y2022Q1 Based on GH-Method: Math-Physical Medicine, Especially the VGT Energy Tool (No. 672)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.013
Research Article
Viscoelastic or Viscoplastic Theory (VGT #83): A Study of Influences on Consumer Price Index Resulted from Consumer Psychological Reactions and Consumption Behavior Change During the COVID-19 Pandemic 9-Quarters Period from Y2020Q1 to Y2022Q1 Based on GH-Method: Math-Physical Medicine, Especially the VGT Energy Tool (No. 673)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.012
Research Article
Viscoelastic or Viscoplastic Theory (VGT #84): A Comparison Study of the Influences on the Gross Domestic Product (GDP), Inflation Rate, and Consumer Price Index (CPI) in the USA Resulting from Consumer Psychological Reactions and Spending Behavior Changes over 9-Quarters During the COVID-19 Pandemic Period from Y2020Q1 to Y2022Q1 Based on GH-Method: Math-Physical Medicine, Especially the VGT Energy Tool (No. 674)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.011
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #85): A Study on the Influences of Cardiovascular Disease Risk, Estimated Daily Average Glucose, and Body Weight from a Type 2 Diabetes Patient’s Psychological Reactions and Lifestyle Changes During 9-Quarters of the COVID-19 Pandemic Period from Y2020Q1 to Y2022Q1 Based on GH-Method: Math-Physical Medicine, Especially the VGT Energy Tool (No. 675)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.010
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #89): Using Frequency-Domain Energy Method to Verify the Results from Space-Domain VGT Energy Method for Cardiovascular Disease, Chronic Kidney Disease, and Type 2 Diabetes Resulting from Body Weight Changes over Two Periods, Y12-Y16 Versus Y17-Y22, Based on GH-Method: Math-Physical Medicine (No. 679)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.009
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #91): Using Time-Domain, Space-Domain, and Frequency-Domain Analysis Methods to Compare the Results of Longevity Versus Cardiovascular Disease, Chronic Kidney Disease, and Type 2 Diabetes Conditions over Two Sub-Periods, Y12-Y14 Versus Y15-Y22, Based on GH-Method: Math-Physical Medicine (No. 681)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.008
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #92): Using Two Cases of Frequency-Domain Variables and Frequency-Domain Energy Analysis Results to Compare Against the Findings Using Space Domain-VGT Energy Tool for Cardiovascular Disease Risk % Versus Daily Estimated Average Glucose, Body Weight, and Food Quantity from a Type 2 Diabetes Patient Over 11 Years from Y2012 to Y2022 Based on GH-Method: Math-Physical Medicine (No. 682)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.007
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #93): Using a Hybrid Model of Space Domain VGT Energy Method and Frequency Domain Fast Fourier Transform Energy Method from Three VGT Biomedical Research Cases to Identify a More Suitable Selection of Variables Based on GH-Method: Math- Physical Medicine (No. 683)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.006
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #94): Using a VGT Energy Tool to Study Pancreatic Beta-Cell Insulin Resistance and Non-Alcohol Fatty Liver Disease Via Triglyceride and Glucose Index Biomarker of TyG for a Type 2 Diabetes Patient over 10 Years from Y2013 to Y2022 Based on GH-Method: Math-Physical Medicine (No. 684)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.005
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #95): Applying Both Space-Domain VGT Analysis and Frequency-Domain Fast Fourier Transform Analysis to Study the Chronic Kidney Disease Risk Percentages Versus HbA1C, ACR, and Urination Frequency at Night from Bladder Conditions using a Type 2 Diabetes Patient Data over the Past ~13 Years from Y2010 to Y2022 Based on GH-Method: Math-Physical Medicine (No. 685)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.004
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #96): Applying a Space- Domain VGT Energy Analysis Tool to Study the General Health Index (GHI) Versus Medical Conditions and Lifestyle Details using a Type 2 Diabetes Patient Collected Data over the Past ~11 Years from Y2012 to Y2022 Based on GH- Method: Math-Physical Medicine (No. 686)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.003
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #97): Three different Analyses using the Tools of Time-Domain Statistical Correlation, Space-Domain VGT Energy, and Frequency-Domain fast Fourier Transform to Study the General Health Index (GHI) Versus Four Medical Conditions (MC) and Six Lifestyle Details (LD) using a Type 2 Diabetes Patient Collected Data over the Past ~11 Years from Y2012 to Y2022 Based on GH-Method: Math-Physical Medicine (No. 687)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.002
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #98): Three Analyses using Three Different Tools of Time-Domain Statistical Correlation, Space-Domain VGT Energy, and Frequency-Domain Fast Fourier Transform Energy to Study the Body Weight Difference Between Wake-Up and Bed-Time (Weight Gain) Versus Food Portion % (Food) and Sleep Hours (Sleep) using a Type 2 Diabetes Patient Collected Data over the Past 5 Years from 6/15/2017 to 6/14/2022 Based on GH-Method: Math-Physical Medicine (No. 688)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.02.001
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #99): Three Post-Meal Glucose Analyses using Different Tools of Time-Domain, Space-Domain VGT Energy, and Frequency-Domain Fast Fourier Transform Energy to Study the Postprandial Plasma Glucose Variances Versus Carbohydrates and Sugar Intake Amount and Post-Meal Walking k-Steps using a Type 2 Diabetes Patient Collected Data over the Past 4+ Years from 5/8/2018 to 6/15/2022 Based on GH-Method: Math- Physical Medicine (No. 689)
Author(s): Gerald C Hsu
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Volume 6, Issue 1

Application of Viscoelasticity and Viscoplasticity in Medicine

DOI: doi.org/10.33140/JAMSER.06.01.020
Research Article
Viscoelastic Glucose Theory (VGT #1): Applying the Concept of Viscoelasticity Theory to conduct a “Glucose Analogy” Study and Illustrate Certain Viscoelastic Characteristics of Time-Dependent Glucose Using Continuous Glucose Monitoring (CGM) Sensor Device Collected Postprandial Plasma Glucose (PPG) Data of 4,056 Elastic Glucoses (<180 mg/dL) within a Period of 3.7 years from 5/8/2018 to 1/10/2022 based on GH-Method: Math-Physical Medicine (No. 578)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.019
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #2): Applying the Concept of Viscoelasticity and Viscoplasticity to Conduct a “Time-Dependent Glucose Analogy” Study of an Elastic Glucose Case Covering 4,056 Meals <180 mg/dL Versus Plastic Glucose Case of 23 meals >180 mg/dL using Collected Postprandial Plasma Glucose Data from 4,079 Meals over 3.7-Year Period from 5/8/2018 to 1/10/2022 based on GH- Method: Math-Physical Medicine (No. 579)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.018
Research Article
Viscoelastic Glucose Theory (VGT #3): Similarity and Difference of two Stress-Strain Diagrams for Viscoelastic Glucose Behaviors from Continuous Glucose Monitor Sensor Measured and Perturbation Theory Produced Postprandial Plasma Glucoses with “Time-Dependent” Characteristics of a Synthesized Postprandial Plasma Glucose Waveform Generated from 4,115 Meals over a 3.7-Year Period from 5/8/2018 to 1/18/2022 Based on GH-Method: Math-Physical Medicine (No. 580)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.017
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #4): Three Developed Postprandial Plasma Glucose Stress-Strain Diagrams for Normal, Pre-Diabetes, and Severe Diabetes Levels to Illustrate the Correlation Between Biomedical Conditions of the Disease and Biophysics Behaviors of Glucose Based on Linear Elasticity Theory (Time- Independent), Plasticity Theory (Time-Independent), and Viscoplasticity Theory (Time-Dependent) Utilizing GH-Method: Math-Physical Medicine (No. 581)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.016
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #5): Three Developed Postprandial Plasma Glucose (PPG) Stress-Strain Diagrams for the PPG Levels of <140 mg/dL, 140- 170 mg/dL, and >170 mg/dL, to Illustrate the Correlation between Biomedical Diabetes Conditions and Biophysical Illustrations of Glucose Behaviors Using Linear Elasticity Theory (Time-Independent), Plasticity Theory (Time-Independent), and Viscoplasticity Theory (Time-Dependent) Based on GH-Method: Math-Physical Medicine (No. 582)
Author(s): Gerald C Hsu
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Research Article
Viscoelastic Glucose Theory (VGT #6): Applying Viscoelastic Glucose Theory with Fasting Plasma Glucose (FPG) as the Strain Along with the FPG Change Rate Multiplied by Body Temperature in the Early Morning as the Stress, to Illustrate the Viscoelastic Stress-Strain Diagram and Calculate the Predicted FPG Values Using The Perturbation Theory Model and Amplified Body Temperature Ratio as the “Perturbation Factor”, then Comparing Against the Predicted FPG Values Using Statistical Linear Regression Model Based on GH-Method: Math-Physical Medicine (No. 583)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.014
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #7): Applying Elasticity, Plasticity, Viscoelasticity, and Energy Theories for the Residual Effect on Postprandial Plasma Glucose by Comparing Two Different Time Periods Resulting from Single Hyperglycemic Lunch Based on GH-Method: Math-Physical Medicine (No. 586)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.013
Research Article
Viscoelastic Glucose Theory (VGT #8): Applying Viscoelastic Glucose Theory with Finger-Piercing Measured Fasting Plasma Glucose (FPG) as the Strain Along with the FPG Change Rate Multiplied by Body Weight in the Early Morning as the Stress, to Calculate the Predicted FPG Values and then Comparing Against Another Predicted FPG Values using Statistical Linear Regression Model Based on GH-Method: Math- Physical Medicine (No. 587)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.012
Research Article
Viscoelastic Glucose Theory (VGT #9): Applying Viscoelastic Glucose Theory with Sensor Measured Fasting Plasma Glucose (FPG) as the Strain Along with the FPG Change Rate Multiplied by Averaged Value of Body Weight and Body Temperature in the Morning as the Stress, to Calculate the Predicted FPG Values and then Comparing Against Another Predicted FPG Values Using Two-Variables Regression Model Based on GH-Method: Math-Physical Medicine (No. 588)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.011
Research Article
Viscoelastic Glucose Theory (VGT #10): Applying Elasticity Theory, Viscoelasticity Theory, and Energy Theory to Conduct a Comparison Study Between the Author’s Collected 101,595 Postprandial Plasma Glucose (PPG) Data and Synthesized Waveform During the Past 6.5 Years and Two Hypothetical Cases of PPG Data and Waveforms to Illustrate Viscoelastic PPG Behavior and Associated Relative Energy of PPG Based on GH-Method: Math-Physical Medicine (No. 589)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.010
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #11): From Time-domain through Space-Domain to Frequency-Domain to Analyze and Study Glucose Characters and Behaviors of Two Collected Postprandial Plasma Glucose (PPG) Datasets for the PPG Level <120 mg/dL Versus >150 mg/dL using Elasticity & Plasticity Theory (Time-Independent), and Viscoelasticity & Viscoplasticity Theory (Time-Dependent) Based on GH-Method: Math-Physical Medicine (No. 590)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.009
Research Article
An Abnormal Psychology Study Using Stressors and Symptoms for a Hypothetical Individual with Borderline Personality Disorder and a Comparison with the Physio-Pathology Study using Lifestyle Details and Glucoses from an Individual with Type 2 Diabetes by Applying the Concepts from Viscoelastic and Viscoplastic Glucose Theory (VGT #12) based on GH-Method: Math-Physical Medicine (No.591)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.008
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #13): Applying the Theories of Elasticity, Plasticity, Viscoelasticity, and Viscoplasticity to Study the Metabolism Index (MI) and Cardiovascular Disease Risk Probability Percentage over a 10+ Year Period from Y2012 to Y2022 based on the GH-Method: Math-Physical Medicine (No. 592)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.007
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #14): Applying the Theories of Elasticity, Plasticity, Viscoelasticity, and Viscoplasticity to Study the Estimated Daily Glucose (eAG) and Cardiovascular Disease Risk Probability Percentage over a 10+ Year Period from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 593)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.006
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #15): Applying the Theories of Elasticity, Plasticity, Viscoelasticity, and Viscoplasticity to Study the Estimated Daily Glucose (eAG) and Estimated Health Age over a 10+ Year Period from Y2012 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 594)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.005
Research Article
Viscoelastic or Viscoplastic Glucose Theory (VGT #16): Applying the Theories of Elasticity, Plasticity, Viscoelasticity, and Viscoplasticity to Study the Body Weight and Estimated Daily Glucose (eAG) over a 13+ Year Period from Y2010 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 595)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.004
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #17): Selecting 12 Cases and Applying Theories of Viscoelasticity and Viscoplasticity from Engineering and Perturbation Theory from Quantum Mechanics to Predict the Behavior of an output Biomarker as the Strain (ε or Behavior, Symptom) by using the Strain Rate (dε/dt) Multiplying with a Correlated Input Biomarker of Stress Value (σ or Stressor, Cause) as the Viscosity Factor (η), Based on the GH-Method: Math- Physical Medicine (No. 596)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.003
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #18): Applying Theories of Viscoelasticity and Viscoplasticity from Engineering and Perturbation Theory from Quantum Mechanics from 9 Cases to Predict the Behavior or Symptom of an Output Biomarker as the Strain (ε), by Selecting a Highly Correlated Input Biomarker as the Stress (σ), and using the Stress Rate (dσ/dt) Multiplied with the Stress (σ) Value and an Amplification Factor Based on the GH-Method: Math- Physical Medicine (No. 597)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.002
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #19): Applying Theories of Viscoelasticity and Viscoplasticity from Engineering and Energy Theory from Physics for Three PPG Cases to Compare the Energy Loss in Loading-Unloadin Process via Three Hysteresis Loop Areas Along with Comparing Three PPG Associated Energies via Time-Domain and Frequency-Domain Based on the GH-Method: Math-Physical Medicine (No. 598)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.06.01.001
Research Article
Viscoelastic and Viscoplastic Glucose Theory (VGT #20): Applying Theories of Viscoelasticity and Viscoplasticity from Engineering and Energy Theory from Physics for Two eAG Cases to Compare the Energy Loss in the Loading- Unloading Process through Two Hysteresis Loop Areas along with Comparing Two eAG Associated Energies from Time-Domain and Frequency-Domain Based on the GH-Method: Math-Physical Medicine (No. 599)
Author(s): Gerald C Hsu
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Volume 5, Issue 4

Regression Analysis of Biomarkers

DOI: doi.org/10.33140/JAMSER.05.04.20
Research Article
Linear Regression Analysis Results of the CGM Sensor PPG Comparison Between Predicted PPG Data Using the Linear Elastic Glucose Theory (LEGT) and Measured PPG Data During a ~2-year COVID-19 Quarantine Period for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 540)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.19
Research Article
Linear Regression Analysis Results of the CGM Sensor PPG Comparison Between Predicted PPG Data Using the Candlestick Model and the LEGT Model Against the Measured Sensor PPG Data During a 2-year COVID-19 Quarantine Period for a Type 2 Diabetes Patient Based on GH-Method: Math- Physical Medicine (No. 541)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.18
Research Article
Analysis of the relationship between weight and sensor average FPG using 3 methods, time-domain analysis, spatial-domain analysis, and linear regression analysis, over a 3.5-year period from a type 2 diabetes patient based on GH- Method: math-physical medicine (No. 542)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.17
Research Article
Applying Multiple Regression Analysis and Linear Elastic Glucose Theory to Analyze and Compare the Predicted Postprandial Plasma Glucose Using Carbs/Sugar Intake Amount and Post-Meal Walking Steps as Inputs over an Approximate 2-Year COVID-19 Quarantine Period from a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 543)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.16
Research Article
Applying Multiple Regression Analyses and Linear Elastic Glucose Theory to Analyze and Compare the Predicted and Measured Finger-Pierced Postprandial Plasma Glucose using Carbs/Sugar Intake Amount and Post-Meal Walking Steps as Inputs over 2016-2017 Period for a Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 544)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.15
Research Article
Applying Multiple Regression Analyses to Compare the Regression Predicted and Originally Calculated CVD/Stroke Risk Probabilities Using Medical Condition and Lifestyle Detail Scores as Inputs over a 10-year Period for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 546)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.14
Research Article
Applying Multiple Regression Analyses to Compare the Regression Predicted and Measured Body Weight Using Food Quantity and Sleep Score as Inputs over a 6.5-Year Period for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 547)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.13
Research Article
Applying Multiple Regression Analyses Model to Predict Fasting Plasma Glucose in Early Morning based on 3 Independent Variables, Sleep Score, Weight in the Early Morning, and Daily HbA1C over a 6.5-Year Period for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 548)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.12
Research Article
Exploring and validating different relationships among various biomarkers by using both linear and nonlinear, single variable and multiple variables regression analysis models and collected big data of a type 2 diabetes patient based on GH-Method: math-physical medicine (No. 549)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.11
Research Article
Predicted Cancer Risk Probability using Linear and Nonlinear Regression Models with Medical Condition Inputs from Chronic Diseases and Lifestyle Details Collected Data of a Type 2 Diabetes Patient Based on GH-Method: Math- Physical Medicine (No. 550)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.10
Research Article
Applying Linear and Nonlinear Regression Analysis Models to Study the Possible Relationships between Cancer’s Risk and CVD/Stroke Risk over a 12-Year Period for a Type 2 Diabetes Patient Based on GH-Method: Math- Physical Medicine (No. 551)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.09
Research Article
Using Regression Analysis Models to Explore the Possible Hidden Linkage between Finger-Pierced Fasting Plasma Glucose and Three Blood Pressure Components over an Approximate 8-Year Period for a type 2 Diabetes Patient based on GH-Method: Math-Physical Medicine (No. 552)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.08
Research Article
Using Regression Analysis Model to Explore the Hidden Linkage between the CGM Sensor Measured Fasting Plasma Glucose from Sleeping Hours and Body Temperature in Early Morning (both are 90-Days Moving Average Values) over a One-Year Period from 11/21/2020 to 11/21/2021 for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 553)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.07
Research Article
Using Regression Analysis Model to Explore the Relationship Between the CGM Sensor Measured Fasting Plasma Glucose from Sleeping Hours and Measured Body Temperature in the Early Morning Over a One-Year Period for a Type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 555)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.06
Research Article
Using Regression Analysis Model to Explore the Relationship Between the Finger-Piercing Fasting Plasma Glucose at the Wake-Up Moment and Body Weight in the Early Morning over a 6.5-Year Period for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 556)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.05
Research Article
Applying Linear Regression Analysis Model to Compare the Outputs of 3 Regression Predicted CVD/Stroke Risk Probabilities Using 3 Different Inputs Which are the Calculated Sensor HbA1C value over 14-Months, Combined Medical Condition Score Months, and Calculated Finger HbA1C over an 8-Year Period from the Collected Data of a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 557)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.04
Research Article
Predicting the Fasting Plasma Glucose Level Using Two Linear Regression Equations from Body Temperature and Weight in the Early Morning as Inputs over a 14-Month Period for a type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 558)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.03
Research Article
Applying Linear Regression Analysis Model to Predict HbA1C Values Using the Daily Estimated Average Glucose (eAG) Values from a 14-Month Period for a type 2 Diabetes Patient based on GH-Method: Math-Physical Medicine (No. 559)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.02
Research Article
A Summary Report Utilizing Math-Physical Medicine Models and Statistical Regression Models to Derive Practical Prediction Equations of Selected Biomarkers for Glucoses, A1C, Diabetes, and Risk Probabilities of Having Certain Chronic Disease Complications from the Collected Data of a Type 2 Diabetes Patient based on GH-Method: Math-Physical Medicine (No. 560)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.04.01
Research Article
Using the first-order, second-order, and third-order interpolation perturbation theory from quantum mechanics of modern physics to predict the CGM sensor device’s fasting plasma glucose value in the early morning, while analyzing their associated waveform shape similarities over a 14-month period based on GH-Method: math-physical medicine (No. 561)
Author(s): Gerald C Hsu
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Volume 5, Issue 3

Applications of distributional data density analysis on medicine

Research Article
Relative Risks of having Cancers for a type 2 Diabetes Female Patient using Metabolism Index Model with Inputs from four Collected Medical Condition Values and Six Estimated Annual Lifestyle Scores over 8.5 Years Based on GH-Method: Math-Physical Medicine (No. 489)
Author(s): Gerald C Hsu
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Research Article
Detailed Investigation of 4 Annual Datasets from the Continuous Glucose Monitoring Sensor Glucoses Collected by a Long-Term Type 2 Diabetes Patient Using the Concept of Distributional Data Analysis to Develop a Specific Analysis Method Regarding Glucose Density Based on GH-Method: Math-Physical Medicine (No. 508)
Author(s): Gerald C Hsu
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Research Article
Using Distributional Data Analysis Tool to Investigate the Sensor Collected Glucose Density (GD%) Distribution of the Daily Mean Glucose (eAG), Fasting Plasma Glucose (FPG), and Postprandial Plasma Glucose (PPG) Collected from a Continuous Glucose Monitoring Sensor Device of a Long-Term Type 2 Diabetes Patient Over a Period of 3.33 Years Based on GH-Method: Math-Physical Medicine (No. 509)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.03.11
Research Article
Using Distributional Data Analysis Tools to Investigate the Glucose Density Distribution of the Mean Daily Glucose Values (eAG) for Three Type 2 Diabetes Patients Over an 18-Month Period Based on GH-Method: Math-Physical Medicine (No. 510)
Author(s): Gerald C Hsu
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Research Article
Applying TBR/TIR/TAR or TxR Formulas Defined by the American Diabetes Association Along with the Concept and a Tool of Glucose Density (GD%) from Distributional Data Analysis to Investigate Four Annual Continuous Glucose Monitoring Sensor Collected Glucose Data of a Type 2 Diabetes Patient Based on GH-Method: Math-Physical Medicine (No. 511)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.03.09
Research Article
Applying Distributional Data Analysis Tool of Weight Density to Investigate Weight Changes from Obesity to Normal Condition Over the Past 10 Years of a Chronic Disease Patient Based on GH-Method: Math-Physical Medicine (No. 512)
Author(s): Gerald C Hsu
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Research Article
Applying the Distributional Data Analysis Tool, Glucose Density, with Collected Daily Finger Glucose Data from the Past 10-Years Combined with the Continuous Glucose Monitoring Sensor Fasting Plasma Glucose Data from the Past 3-Years of a Patient with Chronic Diseases to Investigate the Close Relationship Between Weight and Glucose Based on GH-Method: Math-Physical Medicine (No. 513)
Author(s): Gerald C Hsu
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Research Article
Applying the Distributional Data Analysis Tool of Heart Rate Density with Collected Daily Heart Rate Data from the Past 10-Years from a Type-2 Diabetes Patient to Investigate a Part of Heart Health Conditions Based on GH-Method: Math-Physical Medicine (No. 514)
Author(s): Gerald C Hsu
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Research Article
Applying the Distributional Data Analysis Tool of Blood Pressure Density Along with the Collected Daily Data of Systolic Blood Pressure & Diastolic Blood Pressure over the past 7.5 Years from a Patient with Chronic Diseases to Investigate Heart Health Conditions Based on GH-Method: Math-Physical Medicine (No. 515)
Author(s): Gerald C Hsu
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Research Article
Applying the Distributional Data Analysis Tool of Biomarker Density with the Collected Daily Data of 5 Biomarkers over 7.5 Years from a Patient with Chronic Diseases to Investigate his Overall Health Conditions Based on GH-Method: Math-Physical Medicine (No. 516)
Author(s): Gerald C Hsu
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Research Article
A Step-by-Step Explanation on How to Apply the Distributional Data Analysis Tool of the Glucose Density (GD%) with Collected Finger-Piercing Daily Glucose Data over 8.5 Months for Two Type 2 Diabetes Patients Based on GH-Method: Math-Physical Medicine (No. 517)
Author(s): Gerald C Hsu
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Research Article
Applying the Distributional Data Analysis Tool, Biomarker Density, with the Collected Daily Data from 2 Types of Glucoses over the Past 3.5 Years of a Patient with Chronic Diseases to Investigate his Glucose Conditions Based on GH-Method: Math-Physical Medicine (No. 518)
Author(s): Gerald C Hsu
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Research Article
Illustration of Finger-Piercing Glucose Data Density Study for a Period of 8.6 Years from 1/1/2012 to 9/18/2021 of a type 2 Diabetes Patient Using Both Statistical Gaussian or Normal Distribution model and Biomedical TxR Analysis Model as Comparison Tools Based on GH-Method: Math-Physical Medicine (No. 520)
Author(s): Gerald C Hsu
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Research Article
Applying the Distributional Data Analysis Tool of Metabolism Index Density (MID%), and Using Daily Metabolism Index (MI) Data from a Chronic Diseases Patient’s Past~6 Years Record to Investigate the Relationship Between his Overall Health Conditions and his Risk Probabilities of having a Stroke or Cardiovascular Disease Based on GH- Method: Math-Physical Medicine (No. 521)
Author(s): Gerald C Hsu
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Volume 5, Issue 2

Applications of linear elastic theory and perturbation theory on medicine

DOI: doi.org/10.33140/JAMSER.05.02.25
Research Article
An Experimental Study on Self-Repair and Recovery of Pancreatic Beta Cells via Carbs/ Sugar Intake Increase and Associated Postprandial Plasma Glucos Variation using Linear Elastic Glucose Theory and GH-Method: Math-Physical Medicine (No. 396)
Author(s): Gerald C Hsu
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Review Article
Analyzing Roles and Contributions of Fasting Plasma Glucose, Carbs/Sugar Intake Amount, and Post-Meal Walking Steps on the Formation of Postprandial Plasma Glucose using Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, LEGT Part 19 (No. 401)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.23
Research Article
Analyzing relations among weight, FPG, and PPG using statistical correlation analysis and Linear Elastic Glucose Theory of GH-Method: math-physical medicine, LEGT Part 20 (No. 402)
Author(s): Gerald C Hsu
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Research Article
Estimating Cardiovascular Disease Risk and Insulin Resistance via Transforming Glucose Wave Fluctuations from Time Domain into Associated Energy in Frequency Domain and Applying the Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, LEGT Part 21 (No. 403)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.21
Research Article
A Postprandial Plasma Glucose Magnitude and Fluctuation Study for Three Periods Using Time-Domain, Frequency Domain Analyses, and linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 22 (No. 409)
Author(s): Gerald C Hsu
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Research Article
Using 12-years of Glucoses Including Intermittent Fasting Glucose Data Along with High-Carb Meals Glucose Data to Study The Suitability, Lower-Bound, and UpperBound of the Linear Elastic Glucose Theory Based on GH-Method: Math-Physical Medicine, Part 23 (No. 412)
Author(s): Gerald C Hsu
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Research Article
A Case Study of three Equal-Length Time Periods Applying Wave Theory, Energy Theory, Fourier Transform, and Linear Elastic Glucose Theory to Estimate Risk Probability of having a Cardiovascular Disease or Stroke and Achieving Longevity Based on GH-Method: Math-Physical Medicine, Part 25 (No. 414)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.18
Research Article
A Summary Report of 25 Research Articles Utilizing Linear Elastic Glucose Theory Based on GH-Method: Math-Physical Medicine, LEGT Part 26 (No. 415)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.17
Research Article
An Artificial Intelligence Model Applying Linear Elastic Glucose Theory to Control Type 2 Diabetes Based on GH-Method: Math-Physical Medicine, LEGT Part 27 (No. 416)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.16
Research Article
A Simplified Diabetes Control Method by Applying Three GH-Moduli for Calculating Predicted Linear Postprandial Plasma Glucoses based on 12-year Lifestyle Data and Finger-Pierced Glucoses using GH-Method: Math-Physical Medicine, LEGT Part 28 (No. 417)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.15
Research Article
Another Geometry Equation using Linear Elastic Glucose Theory to Estimate Average Sensor PPG and Finger PPG based on GH-Method: Math-Physical Medicine, LEGT Part 29 (No. 418)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.14
Research Article
Application of Higher-Order Interpolation Perturbation Theory on Postprandial Plasma Glucose Waveform of a Single Lunch Based on GH-Method: Math-Physical Medicine (No. 426)
Author(s): Gerald C Hsu
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Research Article
Application of Perturbation Theory, Frequency Domain Energy Theory, and Linear Elasticity Theory to Study and Predict Postprandial Plasma Glucose Behaviors and their impact on Internal Organs of Type 2 Diabetes Patients based on GH-Method: Math-Physical Medicine (No. 423)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.12
Research Article
Application of the First, Second, and Third Order Equations of Interpolation Perturbation Theory from Quantum Mechanics to Predict a Synthesized 3-year Postprandial Plasma Glucose Wave Based on GH-Method: Math-Physical Medicine (No. 460)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.11
Research Article
Applying the First-Order Perturbation Theory of Quantum Mechanics to Build HighlyAccurate Predicted Postprandial Plasma Glucose Waveforms within the Range of LowCarbs and High-Carbs using GH-Method: Math-Physical Medicine (MPM #1) No. 420
Author(s): Gerald C Hsu
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Research Article
Predicted Postprandial Plasma Glucose Values during the COVID Period, using the Pre-COVID data as the Baseline, Applying the Higher Order Equations of Interpolation Perturbation Theory from Quantum Mechanics and Carbs/Sugar Intake Amount as the Perturbation Factor based on GH-Method: Math-Physical Medicine (No. 462)
Author(s): Gerald C Hsu
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Research Article
Predicted Fasting Plasma Glucose Values during the COVID Period, using the pre- COVID data as Baseline, Applying the Higher Order Equations of Interpolation Perturbation Theory from Quantum Mechanics and Weight as the Perturbation Factor based on GH-Method: Math-Physical Medicine (No. 463)
Author(s): Gerald C Hsu
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Research Article
Using pre-COVID Postprandial Plasma Glucose Data as the Baseline to Predict Postprandial Plasma Glucose Values in the COVID Period Applying the Higher Order Equations of Interpolation Perturbation Theory from Quantum Mechanics with two Perturbation Factors of Carbs/Sugar Intake Amount and Post-Meal Walking Steps Based on GH-Method: Math-Physical Medicine (No. 464)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.07
Research Article
Using the First-Order Perturbation Equation from Quantum Mechanics to Predict the Postprandial Plasma Glucose Data and Waveforms for Solid and Liquid Egg Meals from a Neuro-Scientific Viewpoint Based on GH-Method: Math-Physical Medicine (No. 470)
Author(s): Gerald C Hsu
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Research Article
Using the First-Order Perturbation Theory from Quantum Mechanics to Predict a Single Day of Postprandial Plasma Glucose Data and Waveform Using A Synthesized Glucose Data and Waveform from 181-Days Intermittent Fasting Period Based on GH-Method: Math-Physical Medicine (No. 471)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.05
Research Article
A Simple and Straightforward Linear Approximation Model of Predicting the Glucose and HbA1C Values to Manage Type 2 Diabetes Based on GH-Method: Math-Physical Medicine (No. 472)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.04
Research Article
Perturbed Risk Probabilities of Developing Diabetic Complications, Including Heart Attack, Stroke, Kidney Complications and Diabetic Retinopathy in Comparison with HbA1C Values over the Past 11.5 Years Using GH-Method: Math-Physical Medicine (No. 476)
Author(s): Gerald C Hsu
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Research Article
Application of Perturbation Theory on Risk Assessments in Predicting Coronary Vascular Disease, Chronic Kidney Disease, and Diabetic Retinopathy using a Perturbation Factor of Combined Metabolism Index & Glucose Fluctuation over a Period of 11.5 years based on GH-Method: Math-Physical Medicine (No. 481)
Author(s): Gerald C Hsu
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Research Article
A Case Study of the Pre-Virus Period Versus the Virus Period Applying Wave Theory, Energy Theory, Fourier Transform, and Linear Elastic Glucose Theory to Estimate the Risk Probability of having Cardiovascular Disease or Stroke and Achieving Longevity Based on GH-Method: Math-Physical Medicine, Part 24 (No. 413)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.02.01
Research Article
Relative Risk Probability of a Female Patient with 3 Chronic Diseases having a Stroke or CVD/CHD using the Metabolism Index Model and her 8.5 Years Data based on GH-Method: Math-Physical Medicine (No. 491)
Author(s): Gerald C Hsu
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Volume 5, Issue 1

Engineering and Physics in Medicine

DOI: doi.org/10.33140/JAMSER.05.01.02
Research Article
High Glucose Predication Accuracy of Postprandial Plasma Glucose and Fasting Plasma Glucose During the COVID-19 Period Using Two Glucose Coefficients of GH-Modulus from Linear Elastic Glucose Theory Based on GH-Method: Math-Physical Medicine, Part 7 (No. 359)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.05.01.01
Research Article
Improvement on the Prediction Accuracy of Postprandial Plasma Glucose Using Two Biomedical Coefficients of GH-Modulus from Linear Elastic Glucose Theory Based on GH-Method: Math-Physical Medicine, Part 6 (No. 358)
Author(s): Gerald C Hsu
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Volume 4, Issue 4

Engineering and Physics in Medicine

DOI: doi.org/10.33140/JAMSER.04.04.20
Research Article
A Special Neuro-Communication Influences on GH.p-Modulus of Linear Elastic Glucose Theory Based on Data from 159 Liquid Egg and 126 Solid Egg Meals Using GH-Method: Math-Physical Medicine, Part 11 (No. 363)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.19
Research Article
A Summarized Investigation Report of GH.p-Modulus Values using Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 17 (No. 371)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.18
Research Article
GH.p-Modulus Study During Three Periods using Finger-Piercing Glucoses And Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 15 (No. 369)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.17
Research Article
A Lifestyle Medicine Model for Family Medical Practices based on 9-Years of Clinical Data Including Food, Weight, Glucose, Carbs/Sugar, and Walking Using Linear Elastic Glucose Theory along with GH-Method: Math-Physical Medicine, Part 14 (No. 367)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.16
Research Article
Using Candlestick Charting Techniques to Investigate Glucose Behaviors via GH- Method: Math-Physical Medicine (No. 76)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.15
Research Article
Estimation of Organ Impact by Relative Energy Associated with Higher-Frequency Glucose Components using GH-Method: Math-Physical Medicine (No. 290)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.14
Research Article
Six International Clinical Cases Demonstrating Prediction Accuracies of Postprandial Plasma Glucoses and Suggested Methods for Improvements Using Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 10 (No. 362)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.13
Research Article
Postprandial Plasma Glucose Lower and Upper Boundary Study Using Two Glucose Coefficients of GH-Modulus from Linear Elastic Glucose Theory Based on GH-Method: Math-Physical Medicine, Part 9 (No. 361)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.12
Research Article
Investigation of two glucose coefficients of GH.f-modulus and GH.p-modulus based on the data of three clinical cases during the COVID-19 period using linear elastic glucose theory of GH-Method: math-physical medicine, Part 8 (No.360)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.11
Research Article
High accuracy of predicted postprandial plasma glucose using two coefficients of GH.f-modulus and GH.p-modulus from linear elastic glucose behavior theory based on GH-Method: math-physical medicine, Part 5 (No. 357)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.10
Research Article
Applying The First-Order Interpolation Perturbation Method to Establish Predicted PPG Waveforms Based on carbs/sugar Intake Amounts using GH-Method: Math- Physical Medicine (No. 154)
Author(s): Gerald C. Hsu,
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DOI: doi.org/10.33140/JAMSER.04.04.09
Research Article
GH.p-Modulus Study using both Finger and Sensor Glucoses and Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 16 (No. 370)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.08
Research Article
Linear Relationship Between Carbohydrates & Sugar Intake Amount and Incremental PPG Amount via Engineering Strength of Materials using GH- Method: Math-Physical Medicine, Part 1 (No. 346)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.07
Research Article
Coefficient of GH.f-Modulus in the Linear Elastic Fasting Plasma Glucose Behavior Study Based on Health Data of Three Diabetes Patients Using the GH-Method: Math-Physical Medicine, Part 4 (No. 356)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.06
Research Article
A Summary Report on Partial Regeneration of the Pancreatic Beta Cells Insulin Regression Using Fasting Plasma Glucose, Postprandial Plasma Glucose, and HbA1C Data via GH-Method: Math-Physical Medicine (No. 252)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.05
Research Article
Detailed GH.p-Modulus Values at 15-Minute Time Intervals for a Synthesized Sensor PPG Waveform of 159 Liquid Egg Meals, and 126 Solid Egg Meals Using Linear Elastic Glucose Theory of GH-Method: Math-Physical Medicine, Part 13 (No. 365)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.04
Research Article
GH.p-Modulus Study of Linear Elastic Glucose Theory Based on Data From 159 Liquid Egg Meals, 126 Solid Egg Meals, and 2,843 Total Meals Using GH-Method: Math-Physical Medicine, Part 12 (No. 364)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.03
Research Article
Investigation of GH Modulus on the Linear Elastic Glucose Behavior Based On Three Diabetes Patients’ Data using the GH-Method: Math-Physical Medicine, Part 3 (No. 350)
Author(s): Gerald C. Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.02
Research Article
Investigation of Linear Elastic Glucose Behavior with GH-Modulus Linking Carbohydrates/Sugar Intake and Incremental PPG via an Analogy of Young’s Modulus from Theory of Elasticity and Engineering Strength of Materials using GH-Method: Math-Physical Medicine, Parts 1, 2, and 3 (No. 352)
Author(s): Gerald C Hsu
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DOI: doi.org/10.33140/JAMSER.04.04.01
Research Article
Investigation on GH Modulus of Linear Elastic Glucose Behavior with two Diabetes Patients’ Data using GH-Method: Math-Physical Medicine, Part 2 (No. 349)
Author(s): Gerald C Hsu
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