Prediction of remaining battery discharge time based on stepwise linear regression

2021 ◽  
Author(s):  
Xiaowen Ma ◽  
Jingyuan Zhang ◽  
Keyan Liu ◽  
Yuanlong Song
Keyword(s):  
Linear Regression ◽  
Discharge Time ◽  
Stepwise Linear Regression ◽  
Battery Discharge

scholarly journals AB1329-HPR THE CURRENT STATUS AND ASSOCIATED FACTORS OF FATIGUE IN CHINESE PATIENTS WITH GOUT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1953.3-1953
Author(s):  
J. Guo ◽  
W. Zhou ◽  
M. He ◽  
Z. Gu ◽  
C. Dong
Keyword(s):  
Multiple Sclerosis ◽  
Logistic Regression ◽  
Linear Regression ◽  
Sleep Quality ◽  
Binary Logistic Regression ◽  
Psychological Status ◽  
Functional Disorder ◽  
Stepwise Linear Regression ◽  
Chi Square Analysis ◽  
Anxiety Depression

Background:Fatigue of chronic diseases has been paid more and more attention. but the status of fatigue in gout patients has not been reported all the world[1].Objectives:In the absence of previous studies, our study aims to investigate the fatigue status, explore the potential predictors of fatigue and the effects of fatigue on health-related quality of life (HRQoL) among Chinese gout patients.Methods:This cross-sectional study was conducted from the Affiliated Hospital of Nantong University. A series of questionnaires were applied: Fatigue Scale-14 (FS-14), the 10 cm visual analog scale (VAS), the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder questionnaire (GAD-7), the Pittsburgh Sleep Quality Index (PSQI), Health Assessment Questionnaire(HAQ), the Short Form 36 health survey (SF-36). Laboratory examinations were taken to obtain some biochemical indicators. Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation, Stepwise linear regression and binary logistic regression were used to analyze the data.Results:411 gout patients were included in this study. Among them, more than 50% patients reported physical fatigue in FS-14, severe disease, poor psychological status and reduced HRQoL were associated with fatigue. Multiple stepwise linear regression and binary logistic regression were applied and showed that pain, sleep quality, anxiety, depression and functional disorder were the potential predictors of fatigue. In addition, we found that the more severe the fatigue, the lower the patient’s HRQoL.Conclusion:Fatigue among gout patients is exceedingly common. The results of this study suggested that rheumatologists should pay closely attention to gout patients who suffer from serious fatigue, especially those with pain, poorer sleep quality, anxiety, depression and functional disorder.References:[1]Henry, A., Tourbah, A., Camus, G., Deschamps, R., Mailhan, L., Castex, C., Gout, O. & Montreuil, M. (2019) Anxiety and depression in patients with multiple sclerosis: The mediating effects of perceived social support, Multiple sclerosis and related disorders. 27, 46-51.Disclosure of Interests:None declared

Abstract P105: Greater 24 Hour Blood Pressure Variability is Associated With Higher 24 Hour Systolic Blood Pressure and Glucose Independent of Age and Large Elastic Artery Stiffness in Normotensive Adults

Hypertension ◽  
2016 ◽  
Vol 68 (suppl_1) ◽  
Author(s):  
Lyndsey E DuBose ◽  
Seth W Holwerda ◽  
Amy K Stroud ◽  
Nealy A Wooldridge ◽  
Janie E Myers ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Blood Glucose ◽  
Carotid Artery ◽  
Linear Regression ◽  
Fasting Blood Glucose ◽  
Large Artery ◽  
Stepwise Linear Regression ◽  
Artery Stiffness ◽  
Elastic Artery

Older age is associated with elevated large elastic artery stiffness, a strong predictor of cardiovascular (CVD) risk in middle-age/older (MA/O) adults independent of blood pressure (BP). Greater 24-hour systolic BP variability (BPV) is also an independent risk factor for CVD and is linked to large artery stiffness in MA/O adults with hypertension and diabetes. However, its relation to age-related arterial stiffness in adults with low risk factor burden is unclear. We hypothesized that higher systolic BPV would be: 1) associated with advancing age, and 2) related to elevated aortic and carotid artery stiffness among healthy MA/O adults. To determine this, 98 healthy adults (ages 19-70 yrs) with measurements of systolic BPV (standard deviation of 24 hr systolic BP) via ambulatory BP monitoring, aortic stiffness (carotid-femoral pulse wave velocity, cfPWV), carotid artery stiffness (β-stiffness via carotid tonometry/B mode ultrasound) and circulating metabolic factors were included. In the entire cohort, greater systolic BPV was not associated with age, cfPWV, carotid β stiffness or circulating lipids/glucose (all P>0.05), but was correlated (age-adjusted) with 24 hr systolic BP (r= 0.41, P<0.001) and BMI (r= 0.21, P<0.05). In stepwise linear regression analyses that included age, sex, BMI, only 24 hr systolic BP was associated with systolic BPV (β= 0.14 ± 0.03, Model R 2 = 0.20, P< 0.001). Interestingly, there was no difference in 24 hr systolic BPV (11.4 ± 0.4 vs 11.4 ± 0.5 SD mmHg, P=0.99) in young (n=55; 29.0 ± 0.7 yrs) vs. MA/O (n= 43; 53.0 ± 1.2 yrs) adults despite higher cfPWV (594 ± 12 vs 913 ± 39 cm/sec, P<0.001), carotid β-stiffness (6.8 ± 0.6 vs 9.3 ±0.9 U, P=0.001) and 24 hr systolic BP (121 ± 1 vs 125 ± 2 mmHg, P<0.05). Systolic BPV was associated with BMI (r= 0.42, p< 0.01) and fasting blood glucose (r= 0.54, P= 0.001) in MA/O but not young adults. In a stepwise linear regression model among MA/O, 24 hr systolic BP (β= 0.18 ± 0.04, R 2 = 0.36, P<0.001) and fasting glucose (β= 0.10 ± 0.05, R 2 change= 0.07, P<0.001) were the only significant correlates of systolic BPV (Model R 2 = 0.43, P<0.001). In conclusion, 24 hr systolic BP and fasting blood glucose, but not age or large elastic artery stiffness, were the strongest determinants of higher systolic BPV in normotensive MA/O adults.

Abstract 3434: Novel Predictors of Functional Capacity in Peripheral Arterial Disease

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Justin D Anderson ◽  
Frederick H Epstein ◽  
Craig H Meyer ◽  
Klaus D Hagspiel ◽  
Hongkun Wang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Functional Capacity ◽  
Calf Muscle ◽  
Plaque Burden ◽  
Measured Parameter ◽  
Plaque Volume ◽  
Stepwise Linear Regression ◽  
Muscle Perfusion ◽  
Functional Parameters ◽  
Walking Capacity

Introduction The relationship between limb hemodynamics and walking capacity in PAD is inconsistent. More precise predictive measures of functional capacity in PAD are needed. Methods Sixty-two patients with mild-to-moderate symptomatic PAD (35 M, mean age ± SD 65 ± 11 years, ABI 0.68 ± 0.13) underwent a Skinner-Gardner exercise treadmill test. Total treadmill time (TTT), time to claudication (TTC) and VO2max were measured. Six minute walk distance (6WD) was recorded. A runoff contrast-enhanced magnetic resonance angiogram was segmentally scored (MRAi) by number and degree of arterial stenoses distal to the aorta. Black blood MRI of the superficial femoral artery measured % plaque volume (%PV) as the ratio of plaque volume to total vessel volume. Calf muscle perfusion index (PI) was measured at peak exercise using an MRI-compatible pedal ergometer and first pass gadolinium-enhanced MRI and defined as the ratio of slopes of calf muscle perfusion to arterial input. 31 Phosphorus MR spectroscopy measured calf muscle phosphocreatine recovery time constant (PCr) immediately after exercise. Pearson correlation coefficients were measured between imaging and functional parameters. The bivariate relationship between them were tested using F-tests and stepwise linear regression models. Results Mean TTT was 517 ± 362s, TTC 130 ± 50s, VO2max 12.6 ± 4.2, 6WD 1028 ± 391ft. See Table . By stepwise linear regression, independent predictors of TTT were ABI (r 2 =0.12, p<0.01) and PCr (r 2 =0.09, p<0.03). Independent predictors of V02max were %PV (r 2 =0.24, p=0.0001), MRAi (r 2 =0.20, p<0.001), and ABI (r 2 =0.11, p<0.02). Conclusions The ABI, MRAi, %PV, and PCr correlate with TTT while all but PCr correlate with V02. No measured parameter correlates with 6WD. TTT is predicted by both ABI and calf muscle metabolism, whereas V02max is predicted by ABI and plaque burden. Thus, functional capacity in PAD is determined in part by flow, but metabolism and plaque burden play a significant role. Correlations Between Imaging and Functional Parameters

Fatigue in multiple sclerosis: relation to depression, physical impairment, personality and action control

2007 ◽  
Vol 13 (9) ◽  
pp. 1161-1167 ◽  
Author(s):  
I.-K. Penner ◽  
N. Bechtel ◽  
C. Raselli ◽  
M. Stöcklin ◽  
K. Opwis ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Linear Regression ◽  
Action Control ◽  
Physical Impairment ◽  
Healthy Controls ◽  
Regression Analyses ◽  
Physical Fatigue ◽  
Stepwise Linear Regression ◽  
Main Factor

Athough fatigue is one of the most common symptoms of multiple sclerosis, it is yet poorly understood and therefore difficult to manage. To clarify the nature of fatigue we investigated its relationship to depression, physical impairment, personality and action control and compared these variables between a sample of 41 MS patients and 41 healthy controls. Physical impairment was assessed by the EDSS and all other dimensions, using questionnaires. Stepwise linear regression analyses revealed that physical impairment was related to physical fatigue in MS patients. Depression was the main factor influencing fatigue among both, MS patients and controls. What clearly differentiated the two groups was the correlation between fatigue and action control. Decreased levels of action control imply attentional and motivational deficits and were only found in fatigued MS patients. Our study indicates that motivational disturbances might be specific for MS related fatigue. Multiple Sclerosis 2007; 13: 1161—1167. http://msj.sagepub.com

Evening Types among German University Students Score Higher on Sense of Humor after Controlling for Big Five Personality Factors

2008 ◽  
Vol 103 (2) ◽  
pp. 361-370 ◽  
Author(s):  
Christoph Randler
Keyword(s):  
Linear Regression ◽  
Big Five ◽  
Personality Factors ◽  
Big Five Personality ◽  
Sense Of Humor ◽  
Stepwise Linear Regression ◽  
Composite Scale ◽  
Neurobehavioral Function ◽  
Big Five Personality Factors ◽  
The Relationship

Humor research has focused on relationships between humor and various personality traits. As personality and morningness–eveningness, as well as personality and humor, are related based on genetics and neurobehavioral function, one might also expect a relationship between humor and chronotype. 197 students responded to the Composite Scale of Morningness as a measure of chronotype, the Sense of Humor Questionnaire and a 10-item version of the Big Five Inventory. Individuals scoring as evening types reported a greater sense of humor than morning individuals, with higher morningness scores. In a stepwise linear regression. Extraversión, Agreeableness, Openness, and Chronotype each accounted for a significant amount of variance in sense of Humor scores. That is, the relationship between scores on Sense of Humor and evening orientation was significant after controlling for personality dimensions. Eveningness was related to sense of Humor scores in women but not in men. Social but not cognitive humor was predicted by eveningness.

scholarly journals Impact of Metabolic Syndrome Factors on Testosterone and SHBG in Type 2 Diabetes Mellitus and Metabolic Syndrome

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Mukhtar Mohammed ◽  
Molham AL-Habori ◽  
Ahmed Abdullateef ◽  
Riyadh Saif-Ali
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Linear Regression ◽  
Univariate Analysis ◽  
Stepwise Linear Regression ◽  
Type 2 Dm ◽  
Significant Difference ◽  
Low Testosterone ◽  
The Impact

Objective. Several studies have often reported low testosterone and SHBG to be associated with type 2 DM and the metabolic syndrome (MetS). Our objective was to determine the impact of metabolic syndrome and diabetic parameters on testosterone and SHBG in both MetS subjects and type 2 DM patients. Methods. In this study, 120 Yemeni male aged 30–70 years old were enrolled, 30 of whom were healthy subjects with BMI < 25 kg/m2 that served as control, 30 MetS, 30 type 2 DM without MetS, and 30 type 2 DM with MetS according to IDF criteria. Results. Testosterone (free and total) and SHBG were significantly lower in MetS subjects and modestly reduced in type 2 DM with and without MetS. Stepwise linear regression showed free and total testosterone to be negatively affected by waist circumference, and univariate analysis shows this significant difference to disappear when adjusted for waist circumference. On the other hand, stepwise linear regression showed SHBG to be positively affected by testosterone and age and negatively affected by FBG and TG. Univariate analysis shows this observed significant difference to disappear when adjusted for testosterone. Conclusion. Abdominal obesity is a major determinant of low testosterone levels irrespective of diabetes status. Thus, supporting evidence suggesting that the causative relationship between the often low testosterone and type 2 DM might be bidirectional or even multidirectional and interrelated with obesity, MetS, and IR.

scholarly journals The influence of meteorological factors on rockfall in the Moravskoslezské Beskydy Mts.

Geografie ◽  
2012 ◽  
Vol 117 (1) ◽  
pp. 1-20
Author(s):  
Rudolf Brázdil ◽  
Karel Šilhán ◽  
Tomáš Pánek ◽  
Petr Dobrovolný ◽  
Lucie Kašičková ◽  
...  
Keyword(s):  
Linear Regression ◽  
Meteorological Factors ◽  
Correlation Coefficients ◽  
Meteorological Variables ◽  
Stepwise Linear Regression ◽  
Process Uncertainty ◽  
Air Temperatures ◽  
Rr Variability

Rockfall rate (RR) series for four sites in the Moravskoslezské Beskydy Mountains (Smrk1, Smrk2, Ropice and Satina) were created for the period 1931–2008, using a dendrogeomorphic approach. Meteorological stations from the immediate area were also selected to study the influence of meteorological factors on rockfall. Monthly, seasonal, and annual mean air temperatures (TM), number of days with transitions of temperatures through 0 °C (Tr0) and precipitation totals (Pr) were used for this analysis. Despite the complexity of the rockfall process, uncertainty in the development of RR series and uncertainty in local meteorological patterns, there exist statistically significant correlation coefficients between RR series and meteorological variables. Multiple stepwise linear regression allows explanation of up to 43% (Satina in 1975–2008) of the RR variability by meteorological factors. Tr0, followed by TM, are the most important factors, while the influence of Pr was demonstrated only randomly.

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