Shifts of Appraisal Meaning and Character Depiction Effect in Translation: A Case Study of the English Translation of Mai Jia’s In the Dark

This paper aims to explore the translation effect of character depiction in Mai’s In the Dark from an appraisal perspective. Through a comparative analysis of the affect, judgment, and appreciation in ST and TT, this paper demonstrates that translators rewrite the evaluative meaning of attitude in the ST due to the differences in ideology, social ethics and cultural images between East and West, which makes the characters in the translation more expected for Western readers’ attitude cognition.

Light scattering from periodic surfaces and turned surface roughness measurement.

This dissertation deals with the light scattering from machined periodic surfaces, such as turned surfaces, whose roughness amplitude is greater than the illumination wavelength. The main objective is to establish a theoretical basis for the development of an optical technique for in-process surface roughness measurement. The Beckmann\u27s scalar scattering model was used to determine the scattering patterns for the case where the incident plane was perpendicular to the lay and the case where the incident plane is parallel to the lay. It was obtained that the intensity of any given scattering order oscillated as the incident angle changed. The degree of oscillation was directly related to roughness; as roughness increased the number of oscillations increased. This observation was supported by scattering measurements from flat periodic surfaces. Solutions for the light scattering from cylindrical surfaces were also derived from the flat surface scattering model by using the principle of superposition. A special scattering geometry was considered where the incident plane was restricted to a direction parallel to the lay and near zero grazing angles were utilized. Numerical results were then obtained for different cylindrical surfaces having sinusoidal roughness profiles. These results were later confirmed by scattering measurements from turned surfaces having varied roughness and different materials. In these measurements, it was observed that the surface wavelength was inversely proportional to the fringe spacing. In addition, the location of the first intensity minimum on the central fringe was related to the amplitude of the surface roughness. From these two observations, a new surface roughness measurement technique was developed. This technique makes use of the scattering pattern of the surface to determine both the surface roughness and wavelength. Tested results correlated well with the stylus method. A reasonable accuracy and repeatability were achieved. It was also found that this technique was capable of measuring surface wavelengths from 10 $\mu$m to 300 $\mu$m and surface roughness (R\sb{c}) from 1 to 10 $\mu$m. In comparison to other techniques, this method is relatively simple, independent of material property and capable of fast processing speed. In light of these features, it holds great promise for in-process applications.Dept. of Mechanical, Automotive, and Materials Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1993 .F358. Source: Dissertation Abstracts International, Volume: 54-09, Section: B, page: 4878. Adviser: V. M. Huynh. Thesis (Ph.D.)--University of Windsor (Canada), 1993

Letters Block-by-Block Growth of Single-Crystalline Si/SiGe Superlattice Nanowires

ABSTRACT Heterojunction and superlattice formation is essential for many potential applications of semiconductor nanowires in nanoscale optoelectronics. We have developed a hybrid pulsed laser ablation/chemical capor deposition (PLA-CVD) process for the synthesis of semiconductor nanowires with longitudinal ordered heterostructures. The laser ablation process generates a programmable pulsed vapor source, which enables the nanowire growth in a block-by-block fashion with a well-defined compositional profile along the wire axis. Single-crystalline nanowires with longitudinal Si/SiGe superlattice structure have been successfully synthesized. This unique class of heterostructured one-dimensional nanostructures holds great potential in applications such as light emitting devices and thermoelectrics

Prognostic Value of Elevated Serum Ceruloplasmin Levels in Patients With Heart Failure

Background: Ceruloplasmin (Cp) is a copper-binding acute-phase protein that is increased in inflammatory states and deficient in Wilson\u27s disease. Recent studies demonstrate that increased levels of Cp are associated with increased risk of developing heart failure. Our objective was to test the hypothesis that serum Cp provides incremental and independent prediction of survival in stable patients with heart failure. Methods and Results: We measured serum Cp levels in 890 patients with stable heart failure undergoing elective cardiac evaluation that included coronary angiography. We examined the role of Cp levels in predicting survival over 5 years of follow-up. Mean Cp level was 26.6 ± 6.9 mg/dL and demonstrated relatively weak correlation with B-type natriuretic peptide (BNP; r = 0.187; P \u3c .001). Increased Cp levels were associated with increased 5-year all-cause mortality (quartile [Q] 4 vs Q1 hazard ratio [HR] 1.9, 95% confidence interval [CI] 1.4–2.8; P \u3c .001). When controlled for coronary disease traditional risk factors, creatinine clearance, dialysis, body mass index, medications, history of myocardial infarction, BNP, left ventricular ejection fraction (LVEF), heart rate, QRS duration, left bundle branch blockage, and implantable cardioverter-defibrillator placement, higher Cp remained an independent predictor of increased mortality (Q4 vs Q1 HR 1.7, 95% CI 1.1–2.6; P \u3c .05). Model quality was improved with addition of Cp to the aforementioned covariables (net reclassification improvement of 9.3%; P \u3c .001). Conclusions: Ceruloplasmin is an independent predictor of all-cause mortality in patients with heart failure. Measurement of Cp may help to identify patients at heightened mortality risk

Prognostic Value of Estimating Functional Capacity with The Use of The Duke Activity Status Index in Stable Patients with Chronic Heart Failure

BACKGROUND: Over the years, several methods have been developed to reliably quantify functional capacity in patients with heart failure. Few studies have investigated the prognostic value of these assessment tools beyond cardiorenal prognostic biomarkers in stable patients with chronic heart failure. METHODS AND RESULTS: We administered the Duke Activity Status Index (DASI) questionnaire, a self-assessment tool comprising 12 questions for estimating functional capacity, to 1,700 stable nonacute coronary syndrome patients with history of heart failure who underwent elective diagnostic coronary angiography with 5-year follow-up of all-cause mortality. In a subset of patients (n = 800), B-type natriuretic peptide (BNP) was measured. In our study cohort, the median DASI score was 26.2 (interquartile range [IQR] 15.5-42.7). Low DASI score provided independent prediction of a 3.3-fold increase in 5-year mortality risk (quartile 1 vs quartile 4: hazard ratio [HR] 3.33, 95% confidence interval [CI] 2.57-4.36; P \u3c .0001). After adjusting for traditional risk factors, BNP, and estimated glomerular filtration rate, low DASI score still conferred a 2.6-fold increase in mortality risk (HR 2.57, 95% CI 1.64-4.15; P \u3c .0001). CONCLUSIONS: A simple self-assessment tool of functional capacity provides independent and incremental prognostic value for mortality prediction in stable patients with chronic heart failure beyond cardiorenal biomarkers

Trimethylamine N-Oxide and Mortality Risk in Patients With Peripheral Artery Disease

Background: Production of the proatherogenic metabolite, trimethylamine N-oxide (TMAO), from dietary nutrients by intestinal microbiota enhances atherosclerosis development in animal models and is associated with atherosclerotic coronary artery disease in humans. The utility of studying plasma levels of TMAO to risk stratify in patients with peripheral artery disease (PAD) has not been reported. Methods and Results: We examined the relationship between fasting plasma TMAO and all-cause mortality (5-year), stratified by subtypes of PAD and presence of coronary artery disease in 935 patients with PAD who underwent elective angiography for cardiac evaluation at a tertiary care hospital. Median plasma TMAO was 4.8 μmol/L (interquartile range, 2.9–8.0 μmol/L). Elevated TMAO levels were associated with 2.7-fold increased mortality risk (fourth versus first quartiles, hazard ratio 2.86, 95% CI 1.82–3.97, P\u3c0.001). Following adjustments for traditional risk factors, inflammatory biomarkers, and history of coronary artery disease, the highest TMAO quartile remained predictive of 5-year mortality (adjusted hazard ratio 2.06, 95% CI 1.36–3.11, P\u3c0.001). Similar prognostic value for elevated TMAO was seen for subjects with carotid artery, non–carotid artery, or lower extremity PAD. TMAO provided incremental prognostic value for all-cause mortality (net reclassification index, 40.22%; P\u3c0.001) and improvement in area under receiver operator characteristic curve (65.7% versus 69.4%; P=0.013). Conclusions: TMAO, a pro-atherogenic metabolite formed by gut microbes, predicts long-term adverse event risk and incremental prognostic value in patients with PAD. These findings point to the potential for TMAO to help improve selection of high-risk PAD patients with or without significant coronary artery disease, who likely need more aggressive and specific dietary and pharmacologic therapy

VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations

Recent advancements in implicit neural representations have contributed to high-fidelity surface reconstruction and photorealistic novel view synthesis. However, the computational complexity inherent in these methodologies presents a substantial impediment, constraining the attainable frame rates and resolutions in practical applications. In response to this predicament, we propose VQ-NeRF, an effective and efficient pipeline for enhancing implicit neural representations via vector quantization. The essence of our method involves reducing the sampling space of NeRF to a lower resolution and subsequently reinstating it to the original size utilizing a pre-trained VAE decoder, thereby effectively mitigating the sampling time bottleneck encountered during rendering. Although the codebook furnishes representative features, reconstructing fine texture details of the scene remains challenging due to high compression rates. To overcome this constraint, we design an innovative multi-scale NeRF sampling scheme that concurrently optimizes the NeRF model at both compressed and original scales to enhance the network's ability to preserve fine details. Furthermore, we incorporate a semantic loss function to improve the geometric fidelity and semantic coherence of our 3D reconstructions. Extensive experiments demonstrate the effectiveness of our model in achieving the optimal trade-off between rendering quality and efficiency. Evaluation on the DTU, BlendMVS, and H3DS datasets confirms the superior performance of our approach.Comment: Submitted to the 38th Annual AAAI Conference on Artificial Intelligenc

Diminished Antioxidant Activity of High-Density Lipoprotein–Associated Proteins in Chronic Kidney Disease

Background:Decreased serum arylesterase activity, catalyzed by the high-density lipoprotein–associated paraoxonase (PON)-1, is associated with increased oxidant stress and atherosclerosis risk. We sought to determine the prognostic value of serum PON-1 activity, as monitored by PON or arylesterase activities, in subjects with chronic kidney disease (CKD), particularly in relation to established cardiac biomarkers.Methods and Results: Serum arylesterase and PON activities were measured in sequential subjects with CKD (n=630; estimated glomerular filtration rate [eGFR] \u3c60 mL/min per 1.73 m2) and an age- and sex-matched control group of non-CKD subjects (n=315) presenting for cardiac evaluations and prospectively followed for incident (3-year) major adverse cardiac events (composite of death, nonfatal myocardial infarction, and stroke). Serum arylesterase activity in CKD subjects was lower compared with that in non-CKD control subjects [median (interquartile range) 94 (77 to 112) versus 103 (85 to 121) μmol(L·min) per mL, P\u3c0.001]; similarly, PON activity in CKD subjects was lower compared with that in non-CKD control subjects [median (interquartile range) 474 (275 to 936) versus 586 (301 to 1118) nmol(L·min) per mL, P\u3c0.001]. Lower serum arylesterase (hazard ratio 1.8, 95% CI 1.26 to 2.57, P\u3c0.01) was a predictor of poorer outcomes. After adjusting for traditional risk factors and medication use, lower serum arylesterase (hazard ratio 1.55, 95% CI 1.08 to 2.23, P\u3c0.05) still conferred an increased risk of major adverse cardiac events at 3 years. Conclusions: In patients with CKD, decreased serum arylesterase activity, a measure of diminished antioxidant properties of PON-1, predicts higher risk of incident long-term adverse cardiovascular events (heart attack, stroke, or death) in multivariable models adjusting for established clinical and biochemical risk factors