Miracle-dz/UniFAR-FTUs huggingface dataset:
BRAND TRUST AS CELEBRITY ENDORSER MARKETING MODERATOR’S ROLE

Celebrity endorsement is a form of marketing communication done both online and offline as it creates a positive brand attitude. However, its effectiveness in influencing customers’ purchase decision needs to be considered. This quantitative research took the sample from 249 respondents who experience in shopping and comprehend the role of celebrity endorsement. The SmartPls 3.0 was used in data analyzing techniques, and bootstrap testing was also employed. The results show that celebrity endorsement affects customers’ attitudes, but it does not affect their purchasing behavior. Adding brand trust as a moderator variable enhances the influence of celebrity endorsement on brand attitude. Therefore, marketers need to be able to see how big brand trust is owned before deciding to use celebrity endorsement to market their product. Future researchers can apply models in cultures of other countries and focus on the profile of specific celebrities so that the results can be generalized more. Cite this article as: Febrian, Angga and Fadly, Muhtad. 2021. Brand Trust As Celebrity Endorser Marketing Moderator’s Role. Jurnal Aplikasi Manajemen, Volume 19, Number 1, Pages 207–216. Malang: Universitas Brawijaya. http://dx.doi. org/10.21776/ub.jam. 2021.019.01.19. fectiveness to achieve customer target (Till, 1998). The use of celebrities for product marketing has been discussed in many previous types of research especially to see the influence on brand attitude (Arora et al., 2019; Paul and Bhakar, 2018) as well as to see influence to purchase intention (Loureiro and Sarmento, 2019; Martínez-lópez et al., 2020). Currently, in practice, marketers use social media to communicate with consumers interactively to create value for customers (Baumöl et al., 2016; Odoom et al., 2017). For example, the influence of celebrity endorsement on social media Instagram which is used as a channel for brand management (Jin and Ryu, 2020), and on Facebook, which can influence consumer perspectives on products conIn marketing communication strategy, there are several techniques in supporting brand or company image, one of which is celebrity endorsement (Erdogan, 1999). Currently, celebrity endorsement is widely used by online marketers in promoting products and services to increase brand image. Celebrity endorsement is proven effective in increasing brand image with some considerations by the marketers on its efCorresponding Author: Angga Febrian. Universitas Teknokrat Indonesia. E-Mail: angga_febrian@teknokrat.ac. id DOI: http://dx.doi. org/10.21776/ub.j am.2021.019.01.19
Sensitivity of dryland vegetation patterns to storm characteristics

Ecohydrological phenomena are o ften multiscale in nature, with behavioTur that emerges from the interaction of tightly coupled systems having characteristic timescales that differ by orders of magnitude. Models address these differences using timescale separation methods, where each system is held in psuedo‐steady state while the other evolves. When the computational demands of solving the ‘fast’ system are large, this strategy can become numerically intractable. Here, we use emulation modelling to accelerate the simulation of a computationally intensive ‘fast’ system: overland flow. We focus on dryland ecosystems in which storms generate overland flow, on timescales of 101 − 2 s. In these ecosystems, overland flow delivers crucial water inputs to vegetation, which grows and disperses ‘slowly’, on timescales of 107 − 9 s. Emulation allows for a physically realistic treatment of flow, advancing on phenomenological descriptions used in previous studies. Resolving the within‐storm processes reveals novel dynamics, including new transition pathways from patchy vegetation to desertification, that are specifically controlled by storm processes.
Presidential Economic Approval Rating and the Cross-Section of Stock Returns

We construct a monthly Presidential Economic Approval Rating (PEAR) index from 1981 to 2019, by averaging ratings on president’s handling of the economy across various national polls. In the cross-section, stocks with high betas to changes in the PEAR index significantly under-perform those with low betas by 0.9% per month in the future, on a risk adjusted basis. The low-PEAR-beta premium persists up to one year, and is present in various sub-samples (based on industries, presidential cycles, transitions, and tenures) and even in other G7 countries. It is also robust to different risk adjustment models and controls for other related return predictors. Since the PEAR index is negatively correlated with measures of aggregate risk aversion, a simple risk model would predict the low PEAR-beta stocks to earn lower (not higher) expected returns. Contrary to the sentiment-induced overpricing, the premium does not come primarily from the short leg following high sentiment periods. Instead, the premium could be driven by a novel sentiment towards presidential alignment.
Higher-Harmonic Response of a Slender Monopile to Fully Nonlinear Focused Wave Groups

The “ringing” response of a monopile foundation to focused wave groups was investigated in this study. Such responses are of practical interest in the context of offshore wind turbine foundations. Moderately steep transient focused wave groups were generated in a novel numerical wave tank, based on the high-order spectral method, which was verified and in good agreement with published laboratory data. The monopile was simplified into a slender linear elastic cantilever beam to measure the severity of the structural response. The resonant behavior was excited at the triple-wave frequency of the wave loads. The influence of the damping ratio on the ringing response was considered. Different incident wave models and hydrodynamic models were used to predict the wave loads and induced responses over different wave steepness. The wavelet transform was successfully applied to reveal the local characteristics of the wave loads and ringing response.
The Psychology and Parapsychology of Spiritual Emergency

A defining aspect of Spiritual Emergency (SE) is a ‘Psychic Opening’, which may predict psi performance. This study tested paranormal (psi) performance of individuals who had or were having experiences of Spiritual Emergency (i.e. ‘SE-experients’), and compared their performance against controls. The study also assessed psychological aspects of SE to differentiate it from psychosis and other proposed psi-inhibitive symptoms—namely, alogia (i.e. poverty of speech), depression, anxiety, and stress. Two groups of participants were formed: controls (mainly psychology students) and SE-experients. Participants either completed the study on a computer in the laboratory or online. Questionnaires on Spiritual Emergency (which includes a subscale on Psychic Opening), positive symptoms of psychosis, alogia, spiritual identity, paranormal belief, mysticism, depression, anxiety, and stress, were administered to participants, who then completed the Imagery Cultivation (IC) pictureidentification psi task, which uses a shamanic-like journeying protocol (Storm & Rock, 2009a, 2009b). The differences between controls and SE-experients on the psi measures, Direct Hitting (as a percent hit-rate) and Mean Rank Scores, were not significant, but the Sum-of-Ranks difference was highly significant. Also, SE-experients had a marginally significant Mean Rank Score. Direct Hitting did not correlate significantly with any variable, except Rank Scores, which correlated significantly with Psychic Opening, spiritual identity, and paranormal belief, and marginally significantly with Spiritual Emergency. Direct Hitting, Rank Scores, and SE did not correlate significantly with alogia, depression, anxiety, or stress, but the psychosis measure did correlate significantly with alogia, Ps y c h o l o g y a n d Pa ra p s y c h o l o g y o f S p i r i t u a l E m e r g e n c y 37 depression, anxiety, stress, and SE. The statistical evidence suggests that some proportion of SE-experients experience Psychic Opening. While SE and psychosis overlap, only SE was predicted by spiritual identity, extrovertive mysticism, and paranormal belief (but not alogia), whereas psychosis was predicted by alogia only.
Decentralized Data-Driven Load Restoration in Coupled Transmission and Distribution System With Wind Power

This paper proposes a new decentralized data-driven load restoration (DDLR) scheme for transmission and distribution (TD) systems with high penetration of wind power. Robust DDLR models are constructed in order to handle uncertainties and ensure the feasibility of decentralized schemes. The Wasserstein metric is used to describe the ambiguity sets of probability distributions in order to build the complete DDLR model and realize computationally tractable formulation. A data-driven model-nested analytical target cascading (DATC) algorithm is developed to obtain the final load restoration result by iteratively solving small-scale mathematical models. The proposed DDLR scheme provides load restoration results with adjustable robustness, and performance efficiency is independent from the amount of data. The DDLR scheme makes full use of the available data while respecting information privacy requirements of independent operated systems, and ensures the feasibility of a decentralized load restoration strategy even in the worst-case condition. The effectiveness of the proposed method is validated using a small-scale TD system and a large-scale system with the IEEE 118-bus TS and thirty IEEE-33 DSs, showing high computational efficiency and superior restoration performance.
Party Responsiveness to Public Opinion in Young Democracies

Are political parties in young democracies responsive to the policy preferences of the public? Compared to extensive scholarship on party responsiveness in established democracies, research on party responsiveness in young democracies is limited. We argue that weaker programmatic party–voter linkages in post-communist democracies create incentives for parties to respond to their supporters rather than the more general electorate. Such responsiveness occurs in two ways. First, parties follow shifts in the mean position of their supporters. Second, drawing on the research on party–voter congruence, we argue that parties adjust their policy positions to eliminate previous incongruence between themselves and their supporters. Analyses based on a comprehensive dataset that uses expert surveys, parties’ manifestoes and election surveys to measure parties’ positions, and several cross-national and national surveys to measure voters’ preferences provide strong support for this argument.
The Effect of Spike Row Type on the Grain Yield and Grain Filling Parameters in Barley (Hordeum vulgare L.) Genotypes under Semi-arid Conditions

Background: Barley (Hordeum vulgare L.) is one of the more important cultivated crops in the Mediterranean region, where drought and high temperatures during the grain filling stage are the main abiotic stresses limiting its production. The aim of this study is to evaluate the effects of the spike type on the grain yield, thousand kernels weight and some grain filling parameters.Methods: The present study was conducted on the experimental site of station ITGC in Setif, Algeria, eight Barley genotypes were tested during two cropping seasons (2017/2018 and 2018/2019) in a randomized block design with 3 replications.Result: The results proved significant effect of genotypes and spike types on the grain filling parameters, but no significant effect of spike type on the thousand kernels weight during the both cropping seasons. In addition, the spike type registered significant effect just during the second cropping season. Among the genotypes with 6 rows spike type the local genotype Fouarra have high grain yield (97.79 Q/ha) with a deviation of 37.57% from the total mean of the genotypes with 6 row spike type. Many studies proved that in 6-row barleys, the magnitude of contribution of grain number in grain yield was higher than contribution of grain weight. The grain growth of genotypes studied follows a sigmoid curve, during the first season (2017-2018) the duration of grain filling ranged between 24 days for Saida 183 and 28 days for Rihane 03, for the group of genotypes with 6 rows. In addition, the duration of grain filling for the 2 row genotypes varied from 24 days for G4 to 28 days for genotype G2. During the second season (2018-2019) and for the genotypes with 6 rows, the duration of the grain filling varied from 21 days for the Saida 183 and 26 days for the genotype Fouarra, for the genotypes with 2 rows the duration of grain filling ranged from 21 days for the genotype G2 to 26 days for the genotype G3. The correlation analysis between the grain filling parameters, GY and TKW demonstrate a significant and positive correlation between TKW and MGW and GFR (r = 0.82* and r = 0.84*, respectively). Overall, the genotype variation in grain filling velocity and duration was responsible for the difference in grain yield and the improvement in grain yield was achieved by the increasing in velocity or duration of grain filling.
Investigating the effects of consistent visual identity on social media

Purpose Although the prominence of social media for companies is widely acknowledged, a close examination of the literature reveals a lack of empirical research pertaining to the effect of consistency specifically on social media. Therefore, the purpose of this paper is to fill the gap in social media communication concerning the effect of consistent visual identity on social media users. Design/methodology/approach The study executed an experiment 2 (corporate visual identity condition) × 2 (organization type) between subjects design to map the effects of consistent visual identity on social media users appreciation of the visual identity, attitude toward the company, reputation and intention to commit to a company on social media. Findings The results of the study indicated the significant effects of consistent visual identity on social media users over the inconsistent conditions of visual identity on all dependent variables. Furthermore, there were insignificant main effects of organization type on general judgment, credibility, distinctiveness and reputation of the company. Practical implications This study presents the effects of consistent visual identity on social media platforms. The research will help marketing academicians, graphic designers and social media practitioners in online marketing by using its practical implications to strategically positioning their corporate brand in a social media environment. Originality/value This study provides novel insights on the impact of consistency on social media users. This is the first study to determine the role of consistent visual identity in the social media environment. It thereby adds to the literature of visual identity by developing the sphere of influence of consistency and its effects toward the user’s attitude.
The Effect of Environmental Values on German Primary School Students’ Knowledge on Water Supply

Permanent access to safe drinking water is guaranteed in most industrialized countries, while climate change is turning it into a serious global issue. Knowing how to use the valuable resource water consciously and sustainably requires well-informed and ecologically aware citizens. Environmental education approaches should help develop long-term environmental knowledge, pro-environmental attitudes, and behavior with the overall goal of promoting environmental citizenship. The present study, thus, examines the influence of environmental values on students’ environmental knowledge in a German primary school sample (9–10-year-old students) by providing an authentic, out-of-school learning experience on the topic of fresh water supply. Our approach goes beyond mere correlation analyses by using structural equation modeling (SEM) to measure effects between the two variables. Environmental values were monitored using the Two Major Environmental Values Model (2-MEV) with its two dimensions, Preservation and Utilization of nature. Following a quasi-experimental design, we assessed the learners’ knowledge before (T0), directly after (T1), and six weeks after (T2) module participation. Confirmatory factor analysis verified the two-factor-structure of the 2-MEV. Preservation turned out as a direct positive predictor of pre-knowledge (T0) but did not show any significant effect on post-knowledge (T1) and knowledge retention (T2). Utilization displayed a larger albeit negative direct effect on knowledge across all testing times, especially for pre- and post-knowledge. Our findings shed light on the significant impact of anthropocentric attitudes on knowledge acquisition within primary school samples and provided valuable insights into feasible environmental learning approaches.
Mathematical modeling to standardize times in assembly processes: Application to four case studies

Purpose: This paper proposes model-based standard times estimates using multiple linear regression, non-linear optimization, and fuzzy systems in four real cases of assembly lines. The work includes a description of the models and compares their performance with measurements obtained through the conventional chronometer method. These models allow estimating standard times without reconducting field studies. Design/methodology/approach: For the development of the time study, the methodology proposed by the International Labour Organization (ILO) was used as a baseline, which is structured in three phases: the selection of the case study, the registration of the process by direct observation, and the calculation/estimation of the standard time. The selected case studies belong to real assembly lines of motorcycles, television sets, printed circuit boards (PCB), and bicycles. Findings: In the motorcycle’s assembly case, the study allowed the construction of fourteen linear regression models: seven to estimate standard times for assembling the front parts and seven for the rear of the different motorcycle types. Compared to the conventional chronometer method, the results never exceeded 10% of the measured values. Regarding the cases of assembling TV sets and PCBs, the study considered the construction of nonlinear optimization models that allow making appropriate predictions of the standard times in their assembly lines. Finally, for the bicycle assembly line, a fuzzy logic model was constructed and validated to represent the standard time. Research limitations/implications: To ensure the confidentiality of the companies used in the case study: all the names of the companies, services and the models of manufactured products are omitted. Originality/value: The literature consulted does not refer to the representation of standard time on assembly lines using mathematical models. The construction of these models with empirical data from real-assembly lines was a valuable aid to the companies involved in supporting activity planning.
Comparatial Study on Content of Total Saponins between Psammosilene Tunicoides and Psammosilene tunicoides Plant Cell Culture Production

Objective To analyze the content differences of total saponins between Psammosilene tunicoides and Psammosilene tunicoides plant cell culture production. Methods Oleanolic was used as the standard,the content of total saponins was determined by UV-Vis at wavelength of 535nm. Results The calibration curve of oleanolic was in good linearity within the range of 0.008112～0.048672mg/ml.The average recovery was 100.77%,RSD=2.44%(n=9). The content of total saponins from Psammosilene tunicoides,Psammosilene tunicoides Callus I,Psammosilene Tunicoides Callus II,Psammosilene tunicoides Hairy Root Tissues was 0.217%,0.388%,0.221% and 0.857%,respectively by this method. Conclusion The content of total saponins from Psammosilene tunicoides Hairy Root tissues of suspension culture is higher than others,which is valuable.
Experiential Learning Using Solar Tracker Prototype In Industrial Automation Course

Experiential Learnings is based on the understanding that the knowledge created as the result of an experience. Experiential Learning consisted of four stages, abstract conceptualization, active experimentation, concrete experience, and reflective observation. Experiential learning - Based learning is considered to have characteristics that are expected in the 21st Century Skills Learning. This study aims to develop experiential learning-based instructional design in Production Automation courses using a solar tracker system prototype. The effectiveness of the learning design is measured from the student learning outcomes and responses of the questionnaire provided. The control system subject in the production automation course is considered to have abstract and complex learning material so that it requires visualization to facilitate understanding. The development of the instructional designs is carried out using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The instructional design of the course was implemented in a class consisting of 40 students in the department of Mechanical Engineering Education in a state university in Central Java, Indonesia. From a series of lectures during the course of Production Automation, the instructional design developed based on experiential learning approach received a positive response from the students. The student learning outcomes were also considered good with the average scores of more than 80. This study shows that experiential learning approach could stimulated student learning in mechanical engineering subject.
Real Exchange Rate and Services Export Diversification

The relationship between real exchange rate and services export diversification is at the heart of this study. The analysis is performed using a sample of 125 countries over the period 1985-2014, and the two-step system Generalized Methods of Moments (GMM) approach. It shows that for both high income countries and developing countries, real exchange rate depreciations promote services export diversification and increase the total number of services export lines. These findings highlight the strong importance of real exchange policies in promoting services export diversification in high-income countries and developing countries alike.
Interaction of Irrigation and Pruning Level on Growth and Yield of Shiraz Vines

We examined the effect of irrigation (trickle irrigation three times a week replacing 0.6 of Class A pan evaporation) and no irrigation on the yield, pruning weight, shoot number, vigor, fruitfulness and bunch weight of Vitis vinifera cv Shiraz in the hot, arid climate of Griffith, N.S. W. , for five years from 1973. Four pruning levels, 20, 40, 80 and 160 nodes, were imposed on the two treatments. Irrigation increased yields at 80 and 160 nodes per vine in all years due to increased berry weight, the maximum increase recorded being 266% at the 160 node level in 1977. Irrigation at 20 and 40 nodes had less effect and in most years did not increase yields. Yields of the irrigated vines increased as the pruning level increased but were limited by the number of shoots that developed to maturity and because the number of berries per bunch declined. Pruning level had no effect on yields of the nonirrigated vines, except that yield increased when the pruning level increased from 20 to 40 nodes in 1973 and 1974. Irrigation increased pruning weight, but pruning level had no effect on the pruning weight of the irrigated vines. The increase in vigor of the severely pruned vines compensated for the reduced number of shoots. The basis for a balanced pruning system is discussed.