Optimization of Fiber Laydown During the Fiber Spinning Process by Utilizing the Coanda‐Effect

AbstractThe laydown of aerodynamically stretched fibers during fiber spinning is a key feature of the non‐woven quality. The desired properties of the produced non‐woven are mostly determined by the mechanical properties of the single fiber and the homogeneity of the spunbond. While the former is studied widely, the homogeneity is mostly studied by simulations and not experimentally. Cloudiness or formation of non‐wovens is a known phenomenon that describes deviations from the ideal laydown. Thin areas have a huge impact on the mechanical properties of the spunbond; And subsequently, the investigation of the fiber laydown is of great interest. This work presents an experimental approach to optimize the fiber laydown of a pilot plant fiber spinning device consisting of two aerodynamic stretching devices (aspirators) that stretch eight single fibers each. Due to fiber accumulation on the lay‐down belt under each of the aspirators, a metal rod is placed in‐between to deflect the fibers into the center utilizing the Coanda‐effect to achieve a broad homogeneous fiber distribution.</jats:p

Pengaruh Brand Trust dan Brand Equity terhadap Loyalitas Konsumen pada Produk Kosmetik Wardah (Survey Konsumen pada PT. Paragon Technology And Innovation Cabang Pekanbaru)

The purpose of this study was to determine the influence of brand trust ( X1 ) and brand equity ( X2 ) customer loyalty ( Y ) in cosmetic products Wardah ( consumer survey on PT . Paragon technology and innovation branches pekanbaru ) . The method in this research is quantitatively using SPSS 21 program , where samples were used that consumers using cosmetic products Wardah by respondents as many as 100 people sampling technique is accidental sampling using the formula slovin . The results showed that the test results simultaneously obtained from the F count was 34.888 while the value of F table 3.090 . This means that F count> F table and significant value 0,000 < alpha of 0.05 . This means that brand trust and brand equity simultaneously significant effect on consumer loyalty to cosmetic products Wardah

Brain age as a biomarker for pathological versus healthy ageing – a REMEMBER study

Objectives: This study aimed to evaluate the potential clinical value of a new brain age prediction model as a single interpretable variable representing the condition of our brain. Among many clinical use cases, brain age could be a novel outcome measure to assess the preventive effect of life-style interventions. Methods: The REMEMBER study population (N = 742) consisted of cognitively healthy (HC,N = 91), subjective cognitive decline (SCD,N = 65), mild cognitive impairment (MCI,N = 319) and AD dementia (ADD,N = 267) subjects. Automated brain volumetry of global, cortical, and subcortical brain structures computed by the CE-labeled and FDA-cleared software icobrain dm (dementia) was retrospectively extracted from T1-weighted MRI sequences that were acquired during clinical routine at participating memory clinics from the Belgian Dementia Council. The volumetric features, along with sex, were combined into a weighted sum using a linear model, and were used to predict ‘brain age’ and ‘brain predicted age difference’ (BPAD = brain age–chronological age) for every subject. Results: MCI and ADD patients showed an increased brain age compared to their chronological age. Overall, brain age outperformed BPAD and chronological age in terms of classification accuracy across the AD spectrum. There was a weak-to-moderate correlation between total MMSE score and both brain age (r = -0.38,p < .001) and BPAD (r = -0.26,p < .001). Noticeable trends, but no significant correlations, were found between BPAD and incidence of conversion from MCI to ADD, nor between BPAD and conversion time from MCI to ADD. BPAD was increased in heavy alcohol drinkers compared to non-/sporadic (p = .014) and moderate (p = .040) drinkers. Conclusions: Brain age and associated BPAD have the potential to serve as indicators for, and to evaluate the impact of lifestyle modifications or interventions on, brain health

Test System for Disaggregation Algorithms for use in Smart Meters

AbstractIn this paper a test system for verifying disaggregation algorithms is presented. The main part of the test system is a test set generator. Based on the model of a real voltage source, the generator generates test sets. With these test sets the quality of the developed algorithms can be analyzed. These algorithms will be developed for the implementation in a smart meter. The smart meter system is used for the disaggregation of electrical appliances in residential buildings. This allows to be closed on energy consumption of the individual appliance. The development of a complete smart meter system is the goal of the research project “Smart Metering” at the University of Furtwangen