Studies of Mathematical Modelling and Experimental On-line Measurement for the Tubular Film Blowing Process

An experimental and analytical study of the process of blown film extrusion was carried out. On-line measuring techniques were used to follow the dynamics and temperature profiles occurring in the process. The applicability of a mathematical model which includes a non-isothermal crystallization rate equation was tested. Subsequently, a new simplified model derived from a modified force balance was proposed and examined. Linear low density polyethylene, LLDPE, (melt flow index 1.0) provided by Dow Chemical Company was used in the experimental part of the study. On-line measurements for radius, thickness, velocity and temperature as a function of distance from the extrusion die were carried out, and their reliability was examined. The results indicated that these measuring techniques were sufficiently accurate to make the collection of on-line data a useful analytical tool. The measured profiles of radius, thickness, velocity and temperature were used to test the theoretical model for the tubular film blowing process. The apparent elongational viscosity, a key parameter for the theoretical simulation, was estimated and calculated from experimental data taken on a melt spinline and an inversion procedure developed for obtaining apparent elongational viscosities for melt spinning. This gave a Newtonian, temperature-dependent apparent viscosity equation. The heat transfer coefficient was estimated from measured temperature profiles on the blown film process. A computer simulation for semi-crystalline materials was carried out using the mathematical analysis for film blowing which appears in the literature plus a non-isothermal crystallization rate equation. The analysis was carried out by using the fourth-order Runge-Kutta method to solve the resulting differential equations. The predicted results were in qualitative agreement only with the experimental data. At the same time, several unexpected phenomena appeared in the simulation. Some of them have also been reported in the previous literature, but still no satisfactory interpretation is available. A modified physical approach based on a force balance led to the derivation and proposal of a new simplified model. From this modified analysis, an important and useful relationship between the external forces (i.e., the net takeup force and the inflation pressure) and the variation of radius and thickness of the bubble were determined. Based on the same initiaI conditions as that of the original model, the new model gave predictions which were in fair quantitative agreement with the on-line measurements. Finally, it was also found that the development of crystallinity strongly influences the final values of radius and thickness of the tubular film, two of the important specifications in industrial film processing. In other words, the effect of crystallization is so significant that it should not be neglected in modelling the tubular film blowing process

Algorithm of Impact Point Prediction for Intercepting Reentry Vehicles

Intercepting reentry vehicles is difficult because these move nearly at hypersonic speedsthat traditional interceptors cannot match. Counterparallel guidance law was developed fordefending a high speed target that guides the interceptor to intercept the target at a 180° aspectangle. When applying the counterparallel guidance law, it is best to predict the impact pointbefore launch. Estimation and prediction of a reentry vehicle path are the first steps in establishingthe impact point prediction algorithm. Model validation is a major challenge within the overalltrajectory estimation problem. The adaptive Kalman filter, consising of an extended Kalman filterand a recursive input estimator, accurately estimates reentry vehicle trajectory by means of aninput estimator which processes the model validation problem. This investigation presents analgorithm of impact point prediction for a reentry vehicle and an interceptor at an optimal interceptaltitude based on the adaptive Kalman filter. Numerical simulation using a set of data, generatedfrom a complicated model, verifies the accuracy of the proposed algorithm. The algorithm alsoperforms exceptionally well using a set of flight test data. The presented algorithm is effectivein solving the intercept problems

Mees Line of Nails, Osler Nodes, Janeway Lesions as evidence of disseminated intravascular coagulation

Podeu consultar la versió en català a: http://hdl.handle.net/11703/8944

The Effect of Lavender Aromatherapy on Autonomic Nervous System in Midlife Women with Insomnia

The objective of this study is to determine the effects of 12 weeks of lavender aromatherapy on self-reported sleep and heart rate variability (HRV) in the midlife women with insomnia. Sixty-seven women aged 45–55 years, with a CPSQI (Chinese version of Pittsburgh Sleep Quality Index) greater than 5, were recruited from communities in Taiwan. The experimental group (n = 34) received lavender inhalation, 20 min each time, twice per week, for 12 weeks, with a total of 24 times. The control group (n = 33) received health education program for sleep hygiene with no intervention. The study of HRV was analyzed by time- and frequency-domain methods. Significant decrease in mean heart rate (HR) and increases in SDNN (standard deviation of the normal-to-normal (NN) intervals), RMSDD (square root of the mean squared differences of successive NN intervals), and HF (high frequency) of spectral powers analysis after lavender inhalation were observed in the 4th and 12th weeks of aromatherapy. The total CPSQI score of study subjects was significantly decreased in the experimental group (P < 0.001), while no significant difference was observed across the same time period (P = 0.776) in the control group. Resting HR and HRV measurements at baseline 1 month and 3 months after allocation showed no significant difference between the experimental and control groups. The study demonstrated that lavender inhalation may have a persistent short-term effect on HRV with an increase in parasympathetic modulation. Women receiving aromatherapy experienced a significant improvement in sleep quality after intervention. However, lavender aromatherapy does not appear to confer benefit on HRV in the long-term followup

Colonic Diverticulitis in the Elderly

SUMMARYDiverticular disease of the colon is a disease that mainly affects the elderly and presents in 50–70% of those aged 80 years or older. The most common complication is colonic diverticulitis. Eighty percent of patients who present with colonic diverticulitis are aged 50 years and older. Diagnosis and treatment of colonic diverticulitis in the elderly is more difficult and complicated owing to more comorbid conditions. Computed tomography is recommended for diagnosis when colonic diverticulitis is suspected. Most patients admitted with acute colonic diverticulitis respond to conservative treatment, but 15–30% of patients require surgery. Because surgery for acute colonic diverticulitis carries significant rates of morbidity and mortality, conservative treatment is recommended in the elderly. Conservative treatment of colonic diverticulitis with antibiotics, bowel rest, possibly including parenteral alimentation, is usually applied for 1–2 weeks. In the absence of a response to conservative treatment, frequent recurrence or complications (abscesses, fistulas, bowel obstructions, and free perforations), surgery is indicated

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

While representation learning aims to derive interpretable features for describing visual data, representation disentanglement further results in such features so that particular image attributes can be identified and manipulated. However, one cannot easily address this task without observing ground truth annotation for the training data. To address this problem, we propose a novel deep learning model of Cross-Domain Representation Disentangler (CDRD). By observing fully annotated source-domain data and unlabeled target-domain data of interest, our model bridges the information across data domains and transfers the attribute information accordingly. Thus, cross-domain joint feature disentanglement and adaptation can be jointly performed. In the experiments, we provide qualitative results to verify our disentanglement capability. Moreover, we further confirm that our model can be applied for solving classification tasks of unsupervised domain adaptation, and performs favorably against state-of-the-art image disentanglement and translation methods.Comment: CVPR 2018 Spotligh

Quantum Anomalous Hall Effect in Hg1−y_{1-y}Mny_{y}Te Quantum Wells

The quantum Hall effect is usually observed when the two-dimensional electron gas is subjected to an external magnetic field, so that their quantum states form Landau levels. In this work we predict that a new phenomenon, the quantum anomalous Hall effect, can be realized in Hg$_{1-y}$Mn$_{y}$Te quantum wells, without the external magnetic field and the associated Landau levels. This effect arises purely from the spin polarization of the $Mn$ atoms, and the quantized Hall conductance is predicted for a range of quantum well thickness and the concentration of the $Mn$ atoms. This effect enables dissipationless charge current in spintronics devices.Comment: 5 pages, 3 figures. For high resolution figures see final published version when availabl

The heterojunction effects of TiO2 nanotubes fabricated by atomic layer deposition on photocarrier transportation direction

The heterojunction effects of TiO2 nanotubes on photoconductive characteristics were investigated. For ITO/TiO2/Si diodes, the photocurrent is controlled either by the TiO2/Si heterojunction (p-n junction) or the ITO-TiO2 heterojunction (Schottky contact). In the short circuit (approximately 0 V) condition, the TiO2-Si heterojunction dominates the photocarrier transportation direction due to its larger space-charge region and potential gradient. The detailed transition process of the photocarrier direction was investigated with a time-dependent photoresponse study. The results showed that the diode transitioned from TiO2-Si heterojunction-controlled to ITO-TiO2 heterojunction-controlled as we applied biases from approximately 0 to -1 V on the ITO electrode

Efficacy of the visual cognitive assessment test for mild cognitive impairment/mild dementia diagnosis: a meta-analysis

BackgroundMild cognitive impairment (MCI) is an intermediate stage between normal ageing and dementia. The early identification of MCI is important for timely intervention. The visual cognitive assessment test (VCAT) is a brief language-neutral screening tool for detecting MCI/mild dementia. This meta-analysis evaluated the diagnostic efficacy of the VCAT for MCI/mild dementia.MethodsMedline, Embase, Google Scholar, and Cochrane Library were searched from their inception until August 2023 to identify studies using VCAT to diagnose MCI/mild dementia. The primary outcome was to assess the diagnostic accuracy of the VCAT for detecting MCI/mild dementia through area under the receiver operating characteristic curve (AU-ROC) analysis. The secondary outcome was to explore the correlation between VCAT scores and MCI/mild dementia presence by comparing scores among patients with and without MCI/mild dementia. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated.ResultsFive studies with 1,446 older adults (mean age 64–68.3 years) were included. The percentage of participants with MCI/mild dementia versus controls ranged from 16.5% to 87% across studies. All studies were conducted in Asian populations, mostly Chinese, in Singapore and Malaysia. The pooled sensitivity was 80% [95% confidence interval (CI) 68%–88%] and the specificity was 75% (95% CI 68%–80%). The AU-ROCC was 0.77 (95% CI 0.73–0.81). Patients with MCI/mild dementia had lower VCAT scores than the controls (mean difference −6.85 points, p &lt; 0.00001).ConclusionVCAT demonstrated acceptable diagnostic accuracy in distinguishing MCI/mild dementia in cognitively normal older adults. As a language-neutral and culturally unbiased tool, the VCAT shows promise in detecting MCI/mild dementia. Further studies in non-Asian populations are required.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier: CRD42023453453