Petal-Inspired Diffractive Grating on a Wavy Surface: Deterministic Fabrications and Applications to Colorizations and LED Devices

Interestingly, the petals of flowering plants display unique hierarchical structures, in which surface relief gratings (SRGs) are conformably coated on a curved surface with a large radius of curvature (hereafter referred to as wavy surface). However, systematic studies on the interplay between the diffractive modes and the wavy surface have not yet been reported, due to the absence of deterministic nanofabrication methods capable of generating combinatorially diverse SRGs on a wavy surface. Here, by taking advantage of the recently developed nanofabrication composed of evaporative assembly and photofluidic holography inscription, we were able to achieve (i) combinatorially diverse petal-inspired SRGs with controlled curvatures, periodicities, and dimensionalities, and (ii) systematic optical studies of the relevant diffraction modes. Furthermore, the unique diffraction modes of the petal-inspired SRGs were found to be useful for the enhancement of the outcoupling efficiency of an organic light emitting diode (OLED). Thus, our systematic analysis of the interplay between the diffractive modes and the petal-inspired SRGs provides a basis for making more informed decisions in the design of petal-inspired diffractive grating and its applications to optoelectronics

Comparison of trends in the platelet indices between survivors and non-survivors during the first 72 hours after emergency department admission.

(A) The rate of mean platelet volume increase over the first 72 hours in non-survivors was significantly different from that observed in survivors (P = 0.003). (B) The rate of platelet count decline over the first 72 hours was comparable between the 2 groups (P = 0.360).</p

Baseline clinical characteristics and biochemical variables according to the occurrence of 28-day all-cause mortality.

<p>Baseline clinical characteristics and biochemical variables according to the occurrence of 28-day all-cause mortality.</p

3D printing technology in process enginnering

Tato bakalářská práce je zaměřena na technologii 3D tisku a její využití v procesní technice. Uvádí existující technologie aditivní výroby, popisuje jejich principy a uvádí používané materiály. Následně se práce zaměřuje na FDM metodu a na konstrukční řešení takové tiskárny. Ve výpočtové části této práci je uvedena metoda výpočtu výkonu pro natavení drátu.This bachelor thesis focuses on 3D printing technology and its usage in process engineering. Usher existing technologies of additive manufacturing, describes the principles behind these technologies and ushers materials used with these technologies. Afterwards the thesis focuses on the FDM technology and on the design of a such 3D printing machine. In the computational part of this thesis a method of calculation of power output needed to melt the plastic is described

Receiver operating characteristic (ROC) curve for SAD and BMI to predict (A) all-cause and (B) cardiovascular mortality.

<p>SAD provided higher predictive accuracy for all-cause and cardiovascular mortality than BMI (both <i>P</i><0.001). <i>Abbreviations</i>: SAD, sagittal abdominal diameter; BMI, body mass index; AUC, area under the ROC curve.</p

Multivariate fractional polynomial graphs for the association between SAD and (A) all-cause mortality and (B) cardiovascular mortality.

<p>Hazard ratios were calculated after adjustment for age, sex, diabetes mellitus, previous history of cardiovascular disease, smoking status, systolic blood pressure, the use of lipid-lowering therapy, BMI, and biochemical data (hemoglobin, albumin, Ca×P products, and log hs-CRP levels). Shaded areas indicate the 95% confidence limits. <i>Abbreviations</i>: SAD, sagittal abdominal diameter; BMI, body mass index; Ca, calcium; P, phosphorous; hs-CRP, high-sensitivity C-reactive protein.</p

Odds ratios and 95% confidence intervals for echocardiographic parameters according to baseline TSAT concentrations (Logistic regression analysis).

<p>*Left ventricular ejection fraction was adjusted for sex, body mass index, heart rates, underlying diabetes and cardiovascular disease, hemoglobin, serum glucose, albumin, and creatinine levels, log transformed high-sensitivity C-reactive protein, and usage of diuretics, beta blockers, and vitamin D.</p><p>*Left ventricular hypertrophy was adjusted for sex, diastolic blood pressure, underlying cardiac disease, subjective global assessment score, hemoglobin, serum calcium, and albumin concentrations, and usage of renin-angiotensin system blockers and beta blockers.</p><p>*Left ventricular end-diastolic dimension was adjusted for sex, body mass index, underlying diabetes and cardiac disease, smoking status, hemoglobin, serum phosphorus and albumin levels, log transformed high-sensitivity C-reactive protein, and usage of renin-angiotensin system blockers and beta blockers.</p><p>*Left ventricular end-systolic dimension was adjusted for sex, diastolic blood pressure, underlying cardiovascular disease, smoking status, hemoglobin, serum phosphorus, albumin, and creatinine concentrations, log transformed high-sensitivity C-reactive protein, and usage of renin-angiotensin system blockers and beta blockers.</p><p>*Left atrial dimension was adjusted for age, sex, pulse pressure, underlying diabetes and cardiac disease, smoking status, hemoglobin, serum albumin levels, log transformed high-sensitivity C-reactive protein, and usage of diuretics, beta blockers, calcium channel blockers, and aspirin.</p><p><i>Abbreviations</i>: TSAT, transferrin saturation; OR, odds ratio; CI, confidence interval.</p

Baseline characteristics of the subjects according to the SAD tertiles.

<p><i>Note:</i> Data are expressed as mean ± standard deviation or number of patients (percent).</p><p><i>Abbreviations:</i> SAD, sagittal abdominal diameter; PD, peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; APD, automated peritoneal dialysis; Kt/V, fractional urea clearance; RRF, residual renal function; BMI, body mass index; LDL-C, low-density lipoproein cholesterol; HDL-C, high-density lipoprotein cholesterol; Ca, calcium; P, phosphorous; iPTH, intact parathyroid hormone; hs-CRP, high-sensitivity C-reactive protein; RAS, Renin-angiotensin system; LV, left ventricular.</p

All-cause and cardiovascular death rates according to the presence of aortic arch calcification (AoAC) at baseline and progression of AoAC.

<p>All-cause and cardiovascular death rates according to the presence of aortic arch calcification (AoAC) at baseline and progression of AoAC.</p

Trends in the platelet indices during the first 72 hours.

<p>Trends in the platelet indices during the first 72 hours.</p