Corrosion problems of the metallized connection of the aircraft fabric covering – selected problems

The article comprehensively describes corrosion problems related to the structure of ground-return circuits of military aircraft with metal fuselage structure. The authors describe problems related to the usage of the fuselage as a ground-return circuit of electric current, especially with negative circuits connecting the fuselage with negative terminals of the receiver or the source, rarely discussed in the scientific literature due to the triviality of the problem. Given the necessity to reduce the measurement error, the authors use a technical method for measuring the resistance of the fuselage fabric covering with the intensity of test current increased in proportion to the surface area and the degree of folding the contact surface.

Objective Laryngoscopic Measures From Older Patients With Voice Complaints and Signs of Aging

Purpose The purpose of this study was to use objective measures of glottal gap, bowing, and supraglottic compression from selected images of laryngoscopic examinations from adults over 60 years of age with voice complaints and signs of aging to test current hypotheses on whether degree of severity impacts treatment recommendations and potential follow-through with treatment. Method Records from 108 individuals 60 years or older with voice complaints and signs of aging were reviewed. Three objective measures (normalized glottal gap area [NGGA], total bowing index, and normalized true vocal fold width) were derived. Each measure was subsequently divided into three categories by severity: absence, small degree, or large degree. Nonparametric statistics tested associations between severity and treatment recommendations as well as potential follow-through. Results Noninvasive treatments (observation/voice therapy) were marginally associated with no glottal gap ( p = .09). More invasive treatments (injection/bilateral thyroplasty) were associated with glottal gaps being present ( p = .026), but bilateral thyroplasty recommendations were not significantly associated with the largest gaps. Treatment modalities were not characterized by specific severity categories for any of the objective measures. No significant differences were found for any of the three objective measures between those who followed through with recommended treatment and those who did not. Discussion Results demonstrated some support for current hypotheses on how degrees of severity of objective measures relate to treatment recommendations. Of the three measures, NGGA appears to be more informative regarding treatment recommendations and follow-through, but due to low power, larger sample sizes are needed to confirm clinical relevance.

Evaluation of Current Assets Structure of Aquaculture Firms Listed on Vietnam’s Stock Market

The main purpose of this study is to empirically test current assets structure of Aquaculture firms listed on Vietnam’s stock market. For this purpose, in this study we used qualitative method and quantitative method; and evaluate current assets structure of Aquaculture firms listed on Vietnam’s stock market via six (6) indicators, including (i) current assets / total assets (CA); (ii) cash / current assets (C), (iii) Short-term financial investments / current assets (STFI); (iv) Short-term receivables / current assets (STR); (v) Inventories / current assets (I); and (vi) other current assets / current assets (OCA). The results of the research show that current assets structure of Aquaculture firms listed on Vietnam’s stock market have many significant differences. Firms with 7.5% or more foreign ownership account for a relatively low proportion of these enterprises.

An Experimental Data of Lithium-Ion Battery Time Series Analysis

The experimental data of Lithium-ion battery has its specific sense. This paper is proposed to analyze and forecast it by using autoregressive integrated moving average (ARIMA) and spectral analysis, which has effective and statistical results. The method includes the identification of the data, estimation and diagnostic checking, and forecasting the future values by Box and Jenkins. The analysis shows that the time series models are related with the present value of a series to past values and past prediction errors. After transferring the data by different function, improving autocorrelations are significant. Forecasting the future values of the possible observations show significantly fluctuated such as increasing or decreasing in specific ranges accordingly. In spectral analysis, the parameters of the model were determined by performing spectral analysis of the experimental data to look periodicities or cyclical patterns, and to check the existence of white noise in the data. The Bartlett's Kolmogorov-Smirnov statistic suggests the white noise of the data. The spectral analysis for the series reveals non-11-second cycle of activity for dynamic stress test current, but strong 45-second that highlights the position of the main peak in the spectral density; strong 21-second and 45-second for the urbane dynamometer driver schedule current and voltage, respectively; but no significance for dynamic stress test current.

Oases in the Sahara Desert – Linking Biological and Cultural Diversity

The diversity of life sensu lato comprises both biological and cultural diversity, described as “biocultural diversity”. Similar to plant and animal species, cultures and languages are threatened by extinction, too. Since drylands are pivotal systems for nature and people alike, we use oases in the Sahara Desert as model systems for examining patterns and trends of biocultural diversity. We identify both the underlying drivers of diversity and the potential proxies that are fundamental to understand reciprocal linkages between biological and cultural diversity in oases. In the case of oases in Algeria, we test current indices describing and quantifying biocultural diversity, and identify their limitations. Finally, we discuss follow-up research questions to better understand the underlying mechanisms that control the coupling and decoupling of biological and cultural diversity in oases.

Characteristics Ruthenium (N719) as a Photosensitizer in Dye-Sensitized Solar Cells (DSSC)

<p class="AbstractEnglish"><strong>Abstract:</strong> The study aims to characterize Ruthenium as a photosensitizer in Dye-Sensitized Solar Cells (DSSC). Samples are made in the structure of the working electrode pair Sandwich and the opponent electrode. Sample absorbancy test using UV-Visible LAMBDA 25 spectrophotometer and test current and voltage characterization (I-V) using Keithley 2602A. The TiO₂ deposition method uses the drop and soaks method. The results of the study showed that the maximum absorbancy in the high dye ruthenium appeared at the two peaks at = 448 nm and = 580 nm. While I-V curve measurements showed great efficiency that resulted in ruthenium dye with concentrations of 0.1, 0.5, and 1 in a row were 0, 12%, 0.186%, and 0.26%. These results show that higher concentrations of ruthenium dye can increase the value of the resulting efficiency.</p><p class="AbstrakIndonesia"><strong><span lang="EN-GB">Abstrak:</span></strong><span lang="EN-GB"> Penelitian ini bertujuan untuk mengkarakterisasi Ruthenium sebagai fotosensitizer pada Dye-Sensitized Solar Cells (DSSC). Sampel dibuat dalam struktur kerja pasangan elektroda Sandwich dan elektroda lawan. Uji absorbansi sampel menggunakan spektrofotometer UV-Visible LAMBDA 25 dan uji karakterisasi arus dan tegangan (I-V) menggunakan Keithley 2602A. Metode pengendapan TiO2 menggunakan metode drop and soaks. Hasil penelitian menunjukkan bahwa absorbansi maksimum pada zat warna rutenium tinggi muncul pada dua puncak yaitu = 448 nm dan = 580 nm. Sedangkan pengukuran kurva I-V menunjukkan efisiensi yang sangat baik yang menghasilkan pewarna rutenium dengan konsentrasi 0,1, 0,5, dan 1 berturut-turut adalah 0, 12%, 0,186%, dan 0,26%. Hasil tersebut menunjukkan bahwa semakin tinggi konsentrasi zat warna rutenium dapat meningkatkan nilai efisiensi yang dihasilkan.</span></p>

CHLSOC: the Chilean Soil Organic Carbon database, a multi-institutional collaborative effort

A critical aspect of predicting soil organic carbon (SOC) concentrations is the lack of available soil information; where information on soil characteristics is available, it is usually focused on regions of high agricultural interest. To date, in Chile, a large proportion of the SOC data have been collected in areas of intensive agricultural or forestry use; however, vast areas beyond these forms of land use have few or no soil data available. Here we present a new SOC database for the country, which is the result of an unprecedented national effort under the framework of the Global Soil Partnership. This partnership has helped build the largest database of SOC to date in Chile, named the Chilean Soil Organic Carbon database (CHLSOC), comprising 13 612 data points compiled from numerous sources, including unpublished and difficult-to-access data. The database will allow users to fill spatial gaps where no SOC estimates were publicly available previously. Presented values of SOC range from 6×10-5 % to 83.3 %, reflecting the variety of ecosystems that exist in Chile. The database has the potential to inform and test current models that predict SOC stocks and dynamics at larger spatial scales, thus enabling benefits from the richness of geochemical, topographic and climatic variability in Chile. The database is freely available to registered users at https://doi.org/10.17605/OSF.IO/NMYS3 (Pfeiffer et al., 2019b) under the Creative Commons Attribution 4.0 International Public License.

Thermal matching using Gaussian process regression

Thermal matching is a key stage of the development process for a gas turbine engine where component models are verified to ensure the correct metal temperature distribution has been used in life calculations. The thermal match involves adjusting parameters of a thermal model in order to match an experimental temperature distribution, usually obtained from a thermal paint test. Current methodologies involve manually adjusting parameters, which is both time consuming and leads to variation in the matches achieved. This paper presents a new method to conduct thermal matching, where Gaussian process regression is utilised to obtain a surrogate model from which optimal parameters for matching are obtained. This standardised procedure removes subjectivity from the match and gives faster and more consistent matches. The method is introduced and demonstrated for a number of cases involving a leading edge impingement system that has been isolated from a high pressure turbine blade.