On the synergy between Ariel and ground-based high-resolution spectroscopy

Since the first discovery of an extra-solar planet around a main-sequence star, in 1995, the number of detected exoplanets has increased enormously. Over the past two decades, observational instruments (both onboard and on ground-based facilities) have revealed an astonishing diversity in planetary physical features (i. e. mass and radius), and orbital parameters (e.g. period, semi-major axis, inclination). Exoplanetary atmospheres provide direct clues to understand the origin of these differences through their observable spectral imprints. In the near future, upcoming ground and space-based telescopes will shift the focus of exoplanetary science from an era of “species discovery” to one of “atmospheric characterization”. In this context, the Atmospheric Remote-sensing Infrared Exoplanet Large (Ariel) survey, will play a key role. As it is designed to observe and characterize a large and diverse sample of exoplanets, Ariel will provide constraints on a wide gamut of atmospheric properties allowing us to extract much more information than has been possible so far (e.g. insights into the planetary formation and evolution processes). The low resolution spectra obtained with Ariel will probe layers different from those observed by ground-based high resolution spectroscopy, therefore the synergy between these two techniques offers a unique opportunity to understanding the physics of planetary atmospheres. In this paper, we set the basis for building up a framework to effectively utilise, at near-infrared wavelengths, high-resolution datasets (analyzed via the cross-correlation technique) with spectral retrieval analyses based on Ariel low-resolution spectroscopy. We show preliminary results, using a benchmark object, namely HD 209458 b, addressing the possibility of providing improved constraints on the temperature structure and molecular/atomic abundances.

Modeling of Bimodular Bone Specimen under Four-Point Bending Fatigue Loading

The fatigue damage behavior of bone has attracted significant attention in both the mechanical and orthopedic fields. However, due to the complex and hierarchical structure of bone, describing the damage process quantitively or qualitatively is still a significant challenge for researchers in this area. In this study, a nonlinear bi-modulus gradient model was proposed to quantify the neutral axis skewing under fatigue load in a four-point bending test. The digital image correlation technique was used to analyze the tensile and compressive strains during the fatigue process. The results showed that the compressive strain demonstrated an obvious two-stage ascending behavior, whereas the tensile strain revealed a slow upward progression during the fatigue process. Subsequently, a theoretical model was proposed to describe the degradation process of the elastic modulus and the movement of the neutral axis. The changes in the bone properties were determined using the FEM method based on the newly developed model. The results obtained from two different methods exhibited a good degree of consistency. The results obtained in this study are of help in terms of effectively exploring the damage evolution of the bone materials.

Penalaran Moral dan Perilaku Menyontek: Deskripsi Tingkatan serta Korelasinya pada Siswa

Based on the preliminary study, it’s known that cheating behaviour is major problem for the education sector. The aim of this research is examine the correlation between moral reasoning and cheating behaviour of senior high school students. Current research is quantitative research with correlational method. 282 samples were selected using proportionate stratified random sampling technique. Moral reasoning variable were measured using psychological scale based on the level of moral reasoning according to Kohlberg’s theory and cheating behaviour variable were measured using psychological scale based on cheating behaviour indicators. Data were analysed using Product Moment correlation technique. After analysing the data, the results revealed there is significant negative relationship between moral reasoning and cheating behaviour (r=-.265, p.05) among senior high school students indicating when moral reasoning is high then cheating behaviour is low, and vice versa. It is expected that the continuation of this research can find interventions to reduce cheating behaviour.

Modeling the Smart Factory Manufacturing Products Characteristics: The Perspective of Energy Consumption

Economic progress is built on the foundation of energy. In the industrial sector, smart factory energy consumption analysis and forecasts are crucial for improving energy consumption rates and also for creating profits. The importance of energy analysis and forecasting in an industrial environment is increasing speedily. It is a great chance to provide a technical boost to smart factories looking to reduce energy usage and produce more profit through the control and optimization modeling. It is tough to analyze energy usage and make accurate estimations of industrial energy consumption. Consequently, this study examines monthly energy consumption to identify the discrepancy between energy usages and energy needs. It depicts the link between energy consumption, demand, and various industrial goods by pattern recognition. The correlation technique is utilized in this study to figure out the link between energy usage and the weight of various materials used in product manufacturing. Next, we use the moving average approach to calculate the monthly and weekly moving averages of energy usages. The use of data-mining techniques to estimate energy consumption rates based on production is increasingly prevalent. This study uses the autoregressive integrated moving average (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) to compare the actual data with forecasting data curves to enhance energy utilization. The Root Mean Square Error (RMSE) performance evaluation result for ARIMA and SARIMA is 8.70 and 10.90, respectively. Eventually, the Variable Important technique determines the smart factory’s most essential product to enhance the energy utilization rate and obtain profitable items for the smart factory.

The Relationship Between Authoritarian Parenting With Students' Aggressive Behavior

This research was conducted at SMPN 5 Bima City with the aim of knowing the relationship between authoritarian parenting and aggressive behavior of students at SMPN 5 Bima City. The population of this study was 230 subjects with a total sample of 37 subjects selected using the Simple Random Sampling technique. Collecting data using a questionnaire based on the Likert scale and tested using the Product Moment Correlation technique. The results of the analysis obtained a mean score of 86.38 which is classified in the high category and the score of the aggressive behavior variable is 84.00 which is classified in the high category. From the product moment correlation analysis, the correlation coefficient is r = 0.631 and a significant value is = 0.000 (ρ <0.05). This means that the hypothesis which reads that there is a relationship between authoritarian parenting and aggressive behavior in students at SMPN 5 Bima City in this study is accepted.

Facilitative Parenting of Adolescent Self Disclosure

This study aims to find out empirically whether there is a relationship between facilitative parenting and adolescent self-disclosure. The hypothesis used is that there is a positive relationship between facilitative parenting and adolescent self-disclosure. Where the higher the level of concern, the higher the level of self-disclosure of adolescents when they are high and concern is low, the lower the self-disclosure of adolescents. The research subjects were students living with their parents, female and male and aged 15-18 years. The number of research subjects was 82 people, consisting of 35 women and 27 men. The adolescent self-disclosure scale that based on the theory of Buhrmester & Prager in Bauminger (2008). Parenting scale based on theory and Grolnick (2009). Method of data analysis using product moment correlation technique. The results of the analysis have a normal data distribution with a linear correlation. While the correlation coefficient between maternal parenting and adolescent self-disclosure to mothers is 0.494 and p = 0.000 (p <0.05) with an effective contribution of 0.244. While the father's self-disclosure analysis obtained the results of 0.727 and p = 0.000 (p <0.05) with an effective contribution of 0.529

The Relationship Between Religiosity and Sexual Behavior in Adolescents in Merdeka Square, Langsa City

This study aims to determine the relationship between religiosity and sexual behavior in dating adolescents in Merdeka Square, Langsa City. The research focuses on the relationship between religiosity and sexual behavior. The method used in this research was the quantitative correlation method. The research sample was teenagers dating in Merdeka Square, Langsa City, as many as 40 couples aged 17-21 years. The scale employed was a Likert scale model and the semantic differential. The sampling technique used accidental sampling. Data analysis employed the Product Moment correlation method from Karl Pearson. The study results revealed a significant relationship between religiosity and sexual behavior. The reliability of the religiosity scale rbt = 0.898, and the reliability of the sexual behavior scale rbt = 0.968. The data analysis technique used was the Product Moment correlation technique, utilizing SPSS version 18.0. Based on data analysis, it was found that a significant positive relationship between religiosity and sexual behavior in dating adolescents in Merdeka Square, Langsa City. It was indicated by the coefficient rxy = 0.401 with p (0.000) 0.010. The hypothetical results obtained from this study are that religiosity was classified as low with a hypothetical mean value of 80 and an empirical mean value of 93.19, while sexual behavior was classified as high with a hypothetical mean value of 136 and an empirical mean value of 139.79. From the results of this study, religiosity contributes to sexual behavior by 16.1%, so that the proposed hypothesis was accepted.