Terms Of Behavior Research Articles

ปัจจัยส่วนประสมทางการตลาดที่มีความสัมพันธ์กับพฤติกรรมของผู้สูงอายุในการบริโภคอาหารประเภทสุกี้ ในกรุงเทพมหานคร

The objectives of this study were : 1) to investigate the marketing mix factors influencing sukiyaki consumption among the elderly in Bangkok, 2) to explore behavior of the elderly in sukiyaki consumption, and 3) to study the relationship between marketing mix factors and the behavior of the elderly in sukiyaki consumption in Bangkok. The sample was 400 elderly people aged 60 years and over who have lived in Bangkok and consumed sukiyaki food. A questionnaire was used as a research instrument. Data were analyzed using statistics, including frequency, percentage, mean and standard deviation as well as Chi-Square for hypothesis testing. The results of this study indicated that : 1) overall opinion of the sample towards the marketing mix factors influencing sukiyaki consumption in terms of six aspects, namely: people, place, price, product, process, and physical evidence were at a high level while promotion was at a moderate level. 2) In terms of sukiyaki consumption behavior, the most popular ingredient in sukiyaki was fresh vegetables, followed by meat, and meat products, noodles and flour products, eggs and mushrooms, respectively. The most popular place for sukiyaki consumption was eating in a restaurant. The most commonly reasons for sukiyaki consumption were the taste, quality, freshness, various menus, and reasonable price for quality and quantity. The most commonly frequency for sukiyaki consumption was less than once a month, followed by once a month. An average consumption cost per time per person was 201-300 baht. Most of the sample preferred consuming sukiyaki during Saturday - Sunday from 1.01 PM - 4.00 PM. The number of people eating at one time was 4 people or more. Most of them were family members. 3) Marketing mix factors and the sukiyaki consumption behavior, it was found that product, price, place, promotion, people, process, and physical evidence were related with sukiyaki consumption behavior in terms of consumption reason, monthly frequency consumption, average consumption cost per time per person, and time of consumption with a statistical significance level of .05.

Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO2 exchange

Abstract. Accurate estimates of net ecosystem CO2 exchange (NEE) would improve the understanding of natural carbon sources and sinks and their role in the regulation of global atmospheric carbon. In this work, we use and compare the random forest (RF) and the gradient boosting (GB) machine learning (ML) methods for predicting year-round 6 h NEE over 1996–2018 in a pine-dominated boreal forest in southern Finland and analyze the predictability of NEE. Additionally, aggregation to weekly NEE values was applied to get information about longer term behavior of the method. The meteorological ERA5 reanalysis variables were used as predictors. Spatial and temporal neighborhood (predictor lagging) was used to provide the models more data to learn from, which was found to improve considerably the accuracy of both ML approaches compared to using only the nearest grid cell and time step. Both ML methods can explain temporal variability of NEE in the observational site of this study with meteorological predictors, but the GB method was more accurate. Only minor signs of overfitting could be detected for the GB algorithm when redundant variables were included. The accuracy of the approaches, measured mainly using cross-validated R2 score between the model result and the observed NEE, was high, reaching a best estimate value of 0.92 for GB and 0.88 for RF. In addition to the standard RF approach, we recommend using GB for modeling the CO2 fluxes of the ecosystems due to its potential for better performance.

Durability evaluation of binary and ternary concrete mixtures by corrosion resistance approach

The use of pozzolans as cement substitutes has become widespread in concrete technology in recent years. This is due to the improvement of concrete properties as well as from the perspective of sustainable development and reduction of cement consumption. In this study, the effect of 45% ground granulated blast furnace slag, 7% silica fume, 35% fly ash, and 15% zeolite as binary and ternary mixtures on durability and corrosion resistance of Self-compacting concrete specimens were investigated. The studied parameters included compressive strength, electrical resistivity, water absorption, rapid chloride ion penetration Test and corrosion test also scanning electron microscopy images were used to analyze the microstructure of the concrete samples. Results showed that replacement cement with slag, silica fume, fly ash, and zeolite is generally increased the durability parameters and corrosion resistance of concrete. In all experiments, silica fume has shown better behavior in terms of durability, so that its electrical resistance after 90 days is more than 3.3 times that of the control specimen and other parameters such as water absorption and chloride ion penetration showed approximately 37% And 74% less than conventional concrete respectively. Also, corrosion results indicated that samples containing silica fume had the highest corrosion resistance and reduced the corrosion rate by more than 6 times after 15 test cycles.

Nitrogen as a Tracer of Giant Planet Formation. I. A Universal Deep Adiabatic Profile and Semianalytical Predictions of Disequilibrium Ammonia Abundances in Warm Exoplanetary Atmospheres

A major motivation of spectroscopic observations of giant exoplanets is to unveil planet formation processes from atmospheric compositions. Several recent studies suggested that atmospheric nitrogen, like carbon and oxygen, can provide important constraints on planetary formation environments. Since nitrogen chemistry can be far from thermochemical equilibrium in warm atmospheres, we extensively investigate under what conditions, and with what assumptions, the observable NH3 abundances can diagnose an atmosphere’s bulk nitrogen abundance. In the first paper of this series, we investigate atmospheric T–P profiles across equilibrium temperature, surface gravity, intrinsic temperature, atmospheric metallicity, and C/O ratio using a 1D radiative–convective equilibrium model. Models with the same intrinsic temperature and surface gravity coincide with a shared “universal” adiabat in the deep atmosphere, across a wide equilibrium temperature range (250–1200 K), which is not seen in hotter or cooler models. We explain this behavior in terms of the classic “radiative zero solution” and then establish a semianalytical T–P profile of the deep atmospheres of warm exoplanets. This profile is then used to predict vertically quenched NH3 abundances. At solar metallicity, our results show that the quenched NH3 abundance only coincides with the bulk nitrogen abundance (within 10%) at low intrinsic temperature, corresponding to a planet with a sub-Jupiter mass (≲1 M J) and old age (≳1 Gyr). If a planet has a high-metallicity (≳10× solar) atmosphere, the quenched NH3 abundance significantly underestimates the bulk nitrogen abundance at almost all planetary masses and ages. We suggest modeling and observational strategies to improve the assessment of bulk nitrogen from NH3.

‘A fur coat and a blunted vocabulary are misfits’: Representations of Munitionettes’ Fashion and Class during the First World War

This article offers new insights into the way fashion was used to identify and disseminate discourses surrounding patriotism and class during the First World War. Official directives encouraged frugality; thus any extravagance was deemed to be unpatriotic. Wartime narratives targeting the alleged disconnect between women and the reality of war were depicted in satirical cartoons. Upper-class women were depicted wearing expensive, new, ‘ragged’ clothes, whereas lower-class munition workers faced accusations of profligacy exemplified by the wearing of fur coats, previously out of their financial reach. Expensive furs had historically been considered the preserve of the wealthy and royal echelons of society. Therefore, the wearing of such garments, even if made from cheaper pelts, by lower-class female factory workers led to assumptions of their impropriety. Cartoons depicted consumer behaviour in terms of class, which further cemented the trope of the fur-wearing munitionette profiting from the war. The caricatures analysed in this article are contrasted with a consideration of the actual purchases made by working-class women, to add a more nuanced interpretation of the hyperbolic condemnation of munition workers during the First World War.

Fundamental review on collision of blast waves

The introduction and pinnacle of colliding blast waves research commenced in the 1950s following World War II. Since then, sporadic studies have appeared throughout the literature up until the early 1990s, beyond which a significant contributory gap on the topic ensued. With the interminable proactivity of modern civil and aerospace defense research in the past several decades, investigations on the phenomena of blast wave collisions have fallen behind in comparison. Recent events and applications of offensive and defensive operations have slowly begun to rekindle studies on colliding blast waves in the last few years. However, there remains limitations on the extent of analyses which have yet to be adequately addressed. This review attempts to critically compile and analyze all existing research on blast wave collisions to identify pertinent shortcomings of the present state-of-the-art. In addition, related investigations of colliding shock waves and the collision of shock waves and blast waves are also provided to further elaborate on their distinctions to colliding blast waves. Prior to such discussions, the fundamentals of blast wave behaviors in terms of their characteristics, formation, and propagation are presented to pave a background to subsequent advanced topics. Finally, unique classifications of direct and indirect applications of blast wave collisions are presented with modern perspectives. As a result, a classical problem is reawakened toward understanding and addressing highly complex and dynamic shock wave systems in defense applications.

Strain effect on the high T c superconductor YBa2Cu3O7: an ab initio study comparing bulk and monolayer models

In this work, the effect of strain on the vibrational and electronic properties of the YBa2Cu3O7 compound was studied through ab initio calculations. For this, two structural models were used: a bulk model and a surface model (a monolayer with CuO2 and BaO as the terminating layers). The phonon spectra was calculated for both structures under different levels of c axis strain. The most appreciable change occurs in the vibrational properties, and in the surface case. From the simulation of the Raman spectra, we were able to quantify the Raman shift ratio as a function of the applied strain, and analyzed its behavior in terms of the overlap population of the different bonds and the reduced mass of selected phonons. The effect of the level of deformation on the band structure and the electronic density of states is small for both structures, although more noticeable in the case of the surface model. In both cases, tendencies are observed when the fine features of the band structure are analyzed by means of the tight binding model. Due to the lower symmetry, the surface model also shows modifications of the bands related to the CuO2 planes.

Examining the Effect of Airport Environment on Perceived Image, Memorable Experiences and Passenger Relational Behaviours

This study aims to explore air passengers’ relational behaviours in terms of advocacy and openness by considering the overall airport environment, perceived image, and memorable experience in the context of international airports. The data was gathered from 879 respondents who are experienced airport users. This study employs partial least squares structural equation modelling (PLS-SEM) to verify the validity and accuracy of the research model. The overall airport environment was established with the second-order formative construct of six dimensions, namely, information and layout, terminal ambience, security, passenger facilities, gate area, and leisure and entertainment. Findings enhance knowledge of the formation process of airport image and memorable travel experience and provide insights into tourism and airport literature, particularly from the perspectives of air passengers. This study also discusses practical implications.

The spillover effects of uncertainty and globalization on environmental quality in India: Evidence from combined cointegration test and augmented ARDL model

Environmental quality and climate change have become hot topics among academics in all scientific fields in recent decades due to their impact on human health and economic development. Hence, this paper investigates the key factors of carbon dioxide emissions in India from 1970–2020 through the Bayer-Hanck test and Augmented ARDL framework on an augmented STIRPAT model, introducing uncertainty and globalization. We employ a set of unit-root tests and a combination of cointegration techniques (DOLS and FMOLS), which permit us to estimate the long-run and short-run relationships. Empirical findings confirmed that the series is I(1) series and there is the existence of a long-run relationship between our variables using three cointegration tests, meaning that the variables have the same behavior in the long run term. The findings revealed that India has an inverse U shape of the Environmental Kuznets curve (EKC) due to the positive association between GDP per capita and CO2 emissions until reaching a threshold, after which the link becomes inverse due to the negative impact of GDP square on CO2 emissions. Furthermore, the findings demonstrated a positive influence of uncertainty and a negative impact of globalization on long-term environmental degradation. Besides, energy consumption and population density are positively associated with CO2 emissions in the long and short run. We advocate for policies that promote more trade openness by entering new markets and cooperating with new trading partners.

Corona Discharge Behaviors with Presence of Floating Electrode in Air Insulation using Numerical Model Analysis

This paper deals with numerical analysis method for analyzing the partial discharge behaviors in terms of corona discharge in the presence of a floating electrode under lightning impulse voltage. To analyze the corona discharge behaviors at 0.5 mm short electrode gap system as basic research work between main conductor and floating electrode, we considered fully coupled numerical model based on the charge continuity equations for positively charged ion, negatively charged ion and free electrons. Poisson’s equation is coupled with hydro-dynamic drift-diffusion equations derived from the three kinds of charge continuity equation. Fowler-Nordheim field emission is assumed that the electron emission by electric field is used as boundary conditions for main conductor and floating electrode. As a results, it is found that the floating electrode creates a non-uniform electric field distribution with a large field enhancement, causing ionization to initiate corona discharge. In other words, floating electrode is early corona discharge inception by collecting the induced charge developed by high voltage electrode. This result is expected to be applicable to various corona discharge generating systems as well as insulation design of power apparatus with presence defects such as a floating metal particle under lightning impulse voltage.

Interpolation‐based parametric model order reduction of automotive brake systems for frequency‐domain analyses

Brake squeal describes noise with different frequencies that can be emitted during the braking process. Typically, the frequencies are in the range of 1 to 16 kHz. Although the noise has virtually no effect on braking performance, strong attempts are made to identify and eliminate the noise as it can be very unpleasant and annoying. In the field of numerical simulation, the brake is typically modeled using the Finite Element method, and this results in a high-dimensional equation of motion. For the analysis of brake squeal, gyroscopic and circulatory effects, as well as damping and friction, must be considered correctly. For the subsequent analysis, the high-dimensional damped nonlinear equation system is linearized. This results in terms that are non-symmetric and dependent on the rotational frequency of the brake rotor. Many parameter points to be evaluated implies many evaluations to determine the relevant parameters of the unstable system. In order to increase the efficiency of the process, the system is typically reduced with a truncated modal transformation. However, with this method the damping and the velocity-dependent terms, which have a significant influence on the system, are neglected for the calculation of the eigenmodes, and this can lead to inaccurate reduced models. In this paper, we present results of other methods of model order reduction applied on an industrial high-dimensional brake model. Using moment matching methods combined with parametric model order reduction, both the damping and the various parameter-dependent terms of the brake model can be taken into account in the reduction step. Thus, better results in the frequency domain can be obtained. On the one hand, as usual in brake analysis, the complex eigenvalues are evaluated, but on the other hand also the transfer behavior in terms of the frequency response. In each case, the classical and the new reduction method are compared with each other.

Improving the predictability of the Qendresa Medicane by the assimilation of conventional and atmospheric motion vector observations. Storm-scale analysis and short-range forecast

Abstract. The coastal population in the western Mediterranean Basin is frequently affected by high-impact weather events that produce huge economic and human losses. Among the wide spectrum of maritime severe weather events, tropical-like Mediterranean cyclones (a.k.a. medicanes) draw particular attention, specially due to their poor predictability. The accurate prediction of this kind of event still remains a key challenge to the weather forecast community, mainly because of (i) errors in the initial conditions, (ii) lack of accuracy of modeling micro-scale physics processes and (iii) chaotic behavior inherent to numerical weather prediction models. The 7 November 2014 Qendresa Medicane, that took place over the Sicilian channel affecting the islands of Lampedusa, Pantelleria and Malta, was selected for this study because of its extremely low predictability behavior in terms of its track and intensity. To enhance the prediction of Qendresa, a high-resolution (4 km) ensemble-based data assimilation technique, known as ensemble Kalman filter (EnKF), is used. In this study, both in situ conventional and satellite-derived observations are assimilated with the main objective of improving Qendresa's model initial conditions and thus its subsequent forecast. The performance of the EnKF system and its impact on the Qendresa forecast are quantitatively assessed using different deterministic and probabilistic verification methods. A discussion in terms of the relevant physical mechanisms adjusted by the EnKF is also provided. Results reveal that the assimilation of both conventional and satellite-derived observations improves the short-range forecasts of the trajectory and intensity of Qendresa. In this context, the relevance of assimilating satellite-derived observations to improve the pre-convective estimation of Qendresa's upper-level dynamics is shown, which is key to obtain a realistic track and intensity forecast of this event.

The Relationship Between Depression, Anxiety, and Stress Levels and Eating Behavior in Emergency Service Workers.

Introduction It is seen that shift work causes various biological, psychological, and behavioral problems in individuals. This studyaimed to determine the eating attitudes and behaviors of health workers working in shifts in a stressful environment such as the emergency service and to examine the relationship between depression, anxiety, and stress levelsand eating behaviors (emotional eating, restrictive eating, and external eating) in terms of sociodemographic and clinical characteristics. Material and Methods Sociodemographic data form; Depression, Anxiety, and Stress Scale (DASS); and Dutch Eating Behavior Questionnaire (DEBQ) were used. The study sample consisted of 92 employees (doctor, nurse, emergency medical technician (EMT), medical secretary, and security, staff) who were actively on duty in the emergency department of Alanya Alaaddin Keykubat UniversityMedical Faculty Training and Research Hospital. Results In our study, when the eating behavior of emergency service workers was evaluated in terms of "emotional, external, and restricted eating" sub-dimensions,depression (p=0.043), anxiety (p=0.017), increased stress levels (p=0.002), being female (p=0.022), nurse-emergency medical technician profession (p=0.001), working in 24-hour shifts (p=0.001), and diet history (p=0.013) were associated with "emotional eating."In addition, an increase in depression levels (p=0.048), being single (p=0.015), working in 24-hour shifts (p=0.005), a decrease in age (p<0.001) with "extrinsic eating,"an increase in body mass index (BMI) (p=0.020) and waist circumference (p=0.049), and diet history (p<0.001) were associated with "restricted eating." Conclusions In our study, among the sociodemographic factors, being female, being single, working in 24-hour shifts, diet history, nurse-EMT profession, and undergraduate education level were found to increase the tendency to develop eating behavior problems. An increase in depression levels, being single, working in 24-hour shifts, and a decrease in age were associated with "extrinsic eating."There is a correlation between depression, anxiety, and stress scores and emotional eating scores. Additionally, we found significant correlations between body mass index, waist circumference, diet history, and restricted eating scores. In the approach to eating behavior problems, it is important to determine the individual eating behavior disorder. Due to the increased risk of eating behavior disorder in those who work in long shifts such as 24 hours, it will be possible to organize work programs and increase the quality of service.

Numerical study on nonlinear vibration of FG-GNPRC circular membrane with dielectric properties

Dielectric elastomer membrane has been applied in a wide variety of engineering fields for their excellent dynamic performances. Functionally graded graphene nanoplatelet-reinforced composite (FG-GNPRC) shows great potential for developing high-performance and multifunctional structures. In this work, the damped nonlinear vibration of the FG-GNPRC dielectric membrane is investigated. The effects of damping and dielectric properties are considered in terms of energy while deriving governing equations. Taylor series expansion and differential quadrature together with direct iterative methods are used to discretize and numerically solve the obtained governing equations. The developed model and numerical solution are verified by comparing present results to existing studies. The influences of functionally graded distribution, damping, stretching ratio, dimensions of the membrane, and the attributes of the electrical field and GNP fillers on the nonlinear vibration of the structure are comprehensively investigated. It is found that compared to a uniform distribution, the membrane with functional distribution of GNP demonstrates exhibits more robust performances. The membrane with a smaller thickness-to-radius ratio is more sensitive to the external electrical field. In addition, the direct current voltage is evidenced to have a more significant effect on the nonlinear vibration when the membrane is subject to a relatively small stretching ratio. The present work suggests that the structural behavior of the FG-GNPRC membrane can be actively adjusted by varying the stretching ratio and the properties of the electrical field and the GNP filler. HIGHLIGHTS Effects of damping and dielectric properties are considered for structural behavior in terms of energy. Taylor series expansion and differential quadrature methods are combined to solve governing equations. Two transition regions in frequency ratio are identified due to AC frequency-facilitated polarization and electron tunneling. The effect of the electric field on nonlinear vibration can be regulated by varying the stretching ratio.

The relationship between parenting behavior and the personality of kindergarten children.

According to Cloninger's biosocial model of personality touching upon temperament and character, personality development is a lifelong adaptive process that begins in early childhood. Similarly, theories of parenting behavior and attachment predict that associations between personality and parenting behavior should be found in young children. The present study therefore had the goal to investigate, whether associations between parenting behavior and personality in terms of Cloninger's temperament and character dimensions previously found in adolescence and adults can already be observed in kindergarten children. This study assessed personality in a sample of 324 kindergarten children (169 girls/155 boys) aged 3-6 years (M age = 4.59, SD = 0.90). Parents rated their children's temperament and character using the JTCI 3-6 R questionnaire, which has been specifically developed to measure personality dimensions in three to six-year-olds according to Cloninger's model. Character traits (especially Self-Transcendence), which reach mature levels in adults, may not be reliably assessed in three-year-old children. Parenting behavior was documented using the DEAPQ-EL-GS self-report questionnaire measuring the parenting behavior dimensions Responsiveness and Demandingness. Correlation analyses revealed that responsive parenting behavior was positively related to the personality dimensions Reward Dependence, Self-Directedness, and Self-Transcendence. Demanding parenting behavior was positively related to the personality dimension Novelty Seeking, but negatively related to the personality dimensions Persistence, Self-Directedness and Cooperativeness. Although the cross-sectional design of our study prevents unequivocal conclusions about the causal direction of these associations, our results highlight possible differential consequences of responsive vs. demanding parenting behavior for personality development in children in line with theories of parenting behavior and attachment. Our results thus advance earlier work in adolescents and adults, by showing that parenting behavior influences the development of the child's personality according to Cloninger's biosocial model already in three to six-year-olds.

Consumers' willingness to pay for corporate social responsibility: Theory and evidence

AbstractIn an era when consumers believe that businesses should engage in corporate social responsibility (CSR), it is vital to understand how it affects consumers' willingness to pay (WTP) for the goods and services offered by such businesses. There is a need for an in‐depth study into the relationship between CSR and WTP, and to identify the mediators and the moderators affecting this relationship. To investigate this, we conducted a systematic literature review based on a preliminary search result of 116 unique articles indexed on this topic in four bibliographic databases—Scopus, Google Scholar, Dimensions and Web of Science—published over the previous seven decades. The findings confirm the overall positive effect of CSR on WTP. This study also reveals the indirect effect between CSR and WTP, mediated by variables like Brand Trust, Brand Loyalty, Brand Love, Customer Satisfaction, Brand Attitude, Purchase Intention and Brand Equity. The relationship is impacted by moderators, including demographics, cause‐based aspects, company characteristics, personal aspects and types of products. The theory explaining the evidence of each of these aspects provides a deeper understanding of the relationship between CSR and WTP, and the intervening variables. Based on these, a conceptual framework of this relationship involving all the variables is developed. The Theory, Context and Method (TCM) framework is employed to identify gaps and systematically make recommendations for future research. The findings of this study will aid marketers in developing pricing strategies based on a thorough understanding of consumer behaviour in terms of CSR perceptions. Scholars can use this study's conceptual framework to examine previously unexplored relationships. As the literature on CSR and its influence on consumers' purchase behaviour grows, this comprehensive systematic literature review on the effects of CSR on WTP fills an important gap.

Zwitterionic poly(sulfobetaine methacrylate)-based hydrogel coating for drinking water distribution systems to inhibit adhesion of waterborne bacteria.

Presence of biofilms in drinking water distribution systems (DWDS) can be a nuisance, leading to several operational and maintenance issues (i.e., increased secondary disinfectants demand, pipe damage or increased flow resistance), and so far, no single control practice was found to be sufficiently effective. Here, we propose poly (sulfobetaine methacrylate) (P(SBMA))-based hydrogel coating application as a biofilm control strategy in DWDS. The P(SBMA) coating was synthetized through photoinitiated free radical polymerization on polydimethylsiloxane with different combinations of SBMA as a monomer, and N, N'-methylenebis (acrylamide) (BIS) as a cross-linker. The most stable coating in terms of its mechanical properties was obtained using 20% SBMA with a 20:1 SBMA:BIS ratio. The coating was characterized using Scanning Electron Microscopy, Energy Dispersive X-Ray Spectroscopy, and water contact angle measurements. The anti-adhesive performance of the coating was evaluated in a parallel-plate flow chamber system against adhesion of four bacterial strains representing genera commonly identified in DWDS biofilm communities, Sphingomonas and Pseudomonas. The selected strains exhibited varying adhesion behaviors in terms of attachment density and bacteria distribution on the surface. Despite these differences, after 4h, presence of the P(SBMA)-based hydrogel coating significantly reduced the number of adhering bacteria by 97%, 94%, 98% and 99%, for Sphingomonas Sph5, Sphingomonas Sph10, Pseudomonas extremorientalis and Pseudomonas aeruginosa, respectively, compared to non-coated surfaces. These findings motivate further research into a potential application of a hydrogel anti-adhesive coating as a localized biofilm control strategy in DWDS, especially on materials known to promote excessive biofilm growth.

Shadow behaviors of rotating Ayón–Beato–García black holes in four-dimensional Einstein Gauss–Bonnet gravity

By applying the Newman–Janis Algorithm, we investigate optical behaviors of rotating Ayón–Beato–García black holes in four-dimensional Einstein Gauss–Bonnet Gravity. Exploiting the Hamilton–Jacobi mechanism, we first obtain the needed null geodesic equations of motion. We then provide analytic and numerical methods to study the associated optical aspect for certain regions of the involved moduli space. Concretely, we analyze and examine the shadow behaviors in terms of one-dimensional real closed curves. Particularly, we find various shapes including the D-ones. After that, we study graphically the corresponding astronomical observables. We compute and discuss the energy emission rate. We observe that the rotating parameter and the Gauss–Bonnet coupling have a relevant influence on the shadow geometric configurations and the energy emission rate. Moreover, we find that the nonlinear electrodynamic charge does not affect such optical behaviors. Finally, we provide a possible link with the event horizon telescope activities by imposing certain conditions on the involved black hole parameters in the [Formula: see text] imaging aspect.

PENGARUH LINGKUNGAN TOKO TERHADAP PEMBELIAN IMPULSIF DIMEDIASI OLEH EMOSI POSITIF

Indonesia's economy is getting better, as well as the rate of growth of Indonesia's population that continues to increase, causing changes in people's behavior in terms of shopping. Currently shopping easily and comfortably has become the desire of the people. Miniso entered the retail industry market in Indonesia to respond to changes in people's behavior. Miniso must carry out the right strategy so that consumers feel interested and make impulse purchases at Miniso. This study aims to explain the influence of the store environment on impulsive buying behavior and positive emotions. This research was conducted in Denpasar City with the number of samples taken as many as 108 respondents with a questionnaire tool. The sample was determined using a non-probability sampling model with purposive sampling technique. The data analysis technique used was path analysis with the help of the SPSS for windows program. The results of the analysis show that all hypotheses are accepted. The store environment has a positive and significant effect on Impulsive Purchases, the store environment has a positive and significant effect on positive emotions, positive emotions have a positive effect on impulsive buying and positive emotions are able to mediate the influence of the store environment on impulsive purchases

Study of the coalescence phenomena in biogenic nano-hydroxyapatite produced by controlled calcination processes at low temperature

The coalescence of nanocrystals generated by thermal treatments is a phenomenon observed in many materials. In the case of hydroxyapatite (HAp) derived from a biological source such as bovine bone, this transition was observed at temperatures around 700 °C. However, whether this is also the case at lower temperatures has not yet been investigated. With this aim, this work examined HAp samples from cattle calcined at 400–720 °C in increments of 20 °C, to determine the temperature effect on HAp nanocrystals due to coalescence. Differential scanning calorimetry showed that the raw (as prepared) bovine hydroxyapatite exhibited four thermal transition events at which the coalescence of HAp nanocrystals occurred. Infrared analysis showed that the full width at half maximum (FWHM) of the phosphate band decreases with increasing calcination temperature. The FWHM of the X-ray diffraction peaks showed minima values just at the coalescence events, while the unit cell volumes exhibited an opposite trend. The crystallite size of the HAp increases with increasing calcination temperature during the coalescence events, and the Rietveld method shows that the unit cell volume follows the same behavior and shows an opposite behavior in terms of the micro-strain. Scanning electron microscopy (SEM) images of samples calcined at temperatures above 520 °C show the first signs of coalescence, as necks are formed by the union of adjacent HAp nanocrystals. N2 adsorption-desorption measurements have also shown that the average pore diameter is maintained during thermal processes. Finally, transmission electron microscopy (TEM) was used to observe the coalescence of the nanocrystals of the sample burned at 420 and 520 °C. These thermal events could be because the surface vibrational states of at least two adjacent HAp nanocrystals collapse and form new bulk vibrational states.