Miracle-dz/UniFAR-FTUs huggingface dataset:
The Question of Ethical Review for Psychological Research in Indonesia: Need and Importance [Menyoal Uji Etik dalam Penelitian Psikologi di Indonesia: Seberapa Perlu dan Pentingkah?]

Ethical evaluation is an integral part of the research process. While at the international level, ethical assessment is required for the majority of psychological studies involving direct data collection on human subjects, such assessment is largely optional in the Indonesian context. Ethical aspects, which are essential in research, are often trivialized and thus ignored. In this article, the author specifically focuses on the importance of ethical evaluation in psychological research proposals, by citing the controversial Little Albert experiment, describing the benefits of ethical evaluation for the participants, researchers, and the dignity of the profession. Lastly, the article formulates holistic recommendations for the benefit of developing psychological research in Indonesia. Evaluasi etik merupakan bagian yang tidak terpisahkan dari proses penelitian. Walaupun di tingkat internasional mayoritas penelitian psikologi yang melibatkan pengambilan data secara langsung terhadap subjek manusia diharuskan melalui proses uji etik, di Indonesia hal tersebut masih cenderung merupakan pilihan. Aspek etik dalam sebuah penelitian, yang sebenarnya merupakan hal esensial, seringkali disepelekan dan karenanya diabaikan. Dalam tulisan ini, secara spesifik penulis berfokus pada pentingnya evaluasi etik dari sebuah rencana (proposal) penelitian psikologi, dengan menyinggung eksperimen kontroversial Little Albert, mendeskripsikan manfaat evaluasi aspek etis penelitian bagi partisipan, peneliti, dan marwah profesi. Terakhir, tulisan ini memformulasikan rekomendasi yang menyeluruh sehingga bermanfaat bagi perkembangan penelitian psikologi di Indonesia.
Genetic progress in the breeding population of Zeyheria tuberculosa (Ipê-felpudo): from theoretical predictions to clonal recombination orchard assembly

Zeyheria tuberculosa (Ipê-felpudo) is a promising timber species with high silvicultural potential, but genetic breeding of this species is incipient. In order to promote genetic breeding programs of Z. tuberculosa, this study aimed to: (a) characterize the genetic variability of the species via a progenies and provenances test; (b) select mother trees, potential parents, and potential clones; (c) evaluate genetic progression of future breeding populations; and (d) study the viability of the grafting process for the establishment of a clonal recombination orchard. The experiment consisted of a progeny and provenance test of Z. tuberculosa in the municipality of Porto Seguro, Southern Bahia State, Brazil. The test was composed of 30 open pollination families in a randomized block design with 10 blocks of singletree plots in 4 m × 4 m grids. The traits evaluated at 3.5 years of age were diameter at breast height (DBH) and stem quality. The Z. tuberculosa population of the test presented moderate genetic variability for DBH (individual heritability 0.26). Predicted genetic gains with selection of mother trees, potential parents and clones ranged from 6.29% to 75.99%, indicating success with selection. The simulation of open pollination between the ten best potential parents for DBH and stem shape estimated the genetic progress of the future population as being 20.51%. The ten best potential parent trees were cloned using a grafting technique in order to assemble a clonal controlled pollination orchard. The mean success rate of grafting was 51%, ranging from 20% to 80% according to genotype. Overall, our results demonstrated that genetic breeding of Z. tuberculosa should be considered, since genetic progress for stem growth is possible and clonal recombination orchards can be set up using grafting techniques.
Fertilization Failed to Make Positive Effects on Torreya grandis in Severe N-Deposition Subtropics

In managed orchards, fertilization brings out not only high productivity expectations but also severe environmental pollution. Because economic profit takes priority over environmental cost, increasing amounts of fertilizer have been used in mature subtropical Torreya grandis orchards. However, given the magnitude of global nitrogen deposition, it’s worth considering whether heavy fertilizer treatment is necessary. To elucidate the balance between T. grandis nutrient demands and fertilizer supply, we determined the C, N, and P concentrations of foliar and soil ([C], [N], [P]) at 9 orchards undergoing long-term fertilizer treatments in two scenarios of N and N + P addition with different intensity. After documenting the dynamic variation of plant growth, nutrients characteristic, and the corresponding resorption efficiency, we found that excessive N addition interfered T. grandis’ sensibility to P availability in this N-enrichment area, leading to an increasing foliar [P] and resorption efficiency (PRE) and decoupling plant C:N:P ratios. As a result, enhanced fertilizer supply failed to improve carbon accumulation, plant growth, and yield effectively. These results demonstrate that extra fertilization in the N-saturated study area highly reduced the economic and ecological efficiency of fertilizers. Thus, our research suggests that N addition in the studied orchards should be rejected, and we recommend organic management as a more conducive method to achieve sustainable development.
Innovative shear transfer system for Concrete Filled Steel Tubes (CFST) in columns

The common failure mode of composite steel‐concrete structural elements, such as composite columns, generally occurs due to the relative slipping or separation of the steel sheet and the concrete. This leads to materials overspending and low resistance. In the case of beam‐to‐column joints, the most common solution used in composite construction is introducing a perpendicular gusset plate, which is complex in terms of execution. On the other hand, there is no efficient solution for shear transferring along the whole length of the column to prevent slip under bending. The UPC patent improves very significantly the shear transferring between steel and concrete, enough to achieve the permanent connection in many cases, by means of generating a series of many crown‐shaped breakages produced by punching in the profiling stage, not only in the joints but also in the whole length. When the concrete sets, the said breakages embedded therein have the function of resisting shearing forces generated between both materials. It has been successfully applied to composite slabs and, in terms of composite columns, it is also a disruptive innovation to solve the current shear transfer limitation. Besides, this innovative system is easy to be massively produced avoiding the complexities of the conventional beam‐to‐column joints and reducing the construction costs, especially in high‐rise buildings. The aim of this paper is to present this new technology for connecting steel sheet and concrete in CFST columns.
Measuring the Real-Time Stock Market Impact of Firm-Generated Content

Firms increasingly follow an “always on” philosophy, publishing multiple pieces of firm-generated content (FGC) every day. Current methodologies used in marketing are unfit to unbiasedly capture the impact of FGC disseminated intermittently throughout the day on stock markets characterized by ultra-high-frequency trading. They also neither distinguish between the permanent (i.e., long-term) and temporary (i.e., short-term) price impacts nor identify FGC attributes capable of generating these price impacts. In this study, the authors define price impact as the impact on the variance of stock price. Employing a market microstructure approach to exploit the variance of high-frequency changes in stock price, the authors estimate the permanent and temporary price impacts of the firm-generated Twitter content of S&P 500 information technology firms. The authors find that firm-generated tweets induce both permanent and temporary price impacts, which are linked to tweet attributes of valence and subject matter. Tweets reflecting only valence or subject matter concerning consumer or competitor orientation result in temporary price impacts, whereas those embodying both attributes generate permanent price impacts. Negative-valence tweets about competitors generate the largest permanent price impacts. Building on these findings, the authors offer suggestions to marketing managers regarding the design of intraday FGC.
Ligase A and RNase HI Participate in Completing Replication on the Chromosome in Escherichia coli

In Escherichia coli, several enzymes have been identified that participate in completing replication on the chromosome, including RecG, SbcCD, ExoI, and RecBCD. However, other enzymes are likely to be involved and the precise enzymatic mechanism by which this reaction occurs remains unknown. Two steps predicted to be necessary to complete replication are removal of Okazaki RNA fragments and ligation of the nascent strands at convergent replication forks. E. coli encodes two RNases that remove RNA-DNA hybrids, rnhA and rnhB, as well as two ligases, ligA and ligB. Here, we used replication profiling to show that rnhA and ligA, encoding RNase HI and Ligase A, participate in the completion reaction. Deletion of rnhA impaired the ability to complete replication and resulted in over-replication in the terminus region. It additionally suppressed initiation events from oriC, suggesting a role for the enzyme in oriC-dependent initiation, as has been suggested previously. We also show that a temperature-sensitive mutation in Ligase A led to over-replication at sites where replication completes, and that degradation at these sites occurred upon shifting to the nonpermissive temperature. Deletion of rnhB or ligB did not affect the growth or profile of replication on the genome.
Brand loyalty through love for a brand’s Facebook page: Roles of motivations and personal traits

ABSTRACT This study examines how consumers’ motivations influence their love for a brand’s Facebook page and brand loyalty. The role that consumers’ opinion leadership and opinion seeking traits play in driving these motivations was also examined. Results from an online survey with 260 college students revealed that consumers’ self-presentation and self-expressive motivations were significant predictors of consumers’ love for a brand’s Facebook page, which in turn positively influenced brand loyalty. Further, consumers’ opinion seeking trait positively influenced self-presentation motivation, whereas their opinion leadership trait negatively influenced self-expressive motivation. Managerial and theoretical implications are discussed.
On the Derivation of Multisymplectic Variational Integrators for Hyperbolic PDEs Using Exponential Functions

We investigated the derivation of numerical methods for solving partial differential equations, focusing on those that preserve physical properties of Hamiltonian systems. The formulation of these properties via symplectic forms gives rise to multisymplectic variational schemes. By using analogy with the smooth case, we defined a discrete Lagrangian density through the use of exponential functions, and derived its Hamiltonian by Legendre transform. This led to a discrete Hamiltonian system, the symplectic forms of which obey the conservation laws. The integration schemes derived in this work were tested on hyperbolic-type PDEs, such as the linear wave equations and the non-linear seismic wave equations, and were assessed for their accuracy and the effectiveness by comparing them with those of standard multisymplectic ones. Our error analysis and the convergence plots show significant improvements over the standard schemes.
Trading Macro-Cycles of Foreign Exchange Markets Using Hybrid Models

Most existing studies on forecasting exchange rates focus on predicting next-period returns. In contrast, this study takes the novel approach of forecasting and trading the longer-term trends (macro-cycles) of exchange rates. It proposes a unique hybrid forecast model consisting of linear regression, multilayer neural network, and combination models embedded with technical trading rules and economic fundamentals to predict the macro-cycles of the selected currencies and investigate the predicative power and market timing ability of the model. The results confirm that the combination model has a significant predictive power and market timing ability, and outperforms the benchmark models in terms of returns. The finding that the government bond yield differentials and CPI differentials are the important factors in exchange rate forecasts further implies that interest rate parity and PPP have strong influence on foreign exchange market participants.
Young Adults’ Reactions and Engagement with Short-form Videos on Sea Level Rise

ABSTRACT This study examines young South Floridians’ perceptions of visual elements and four generic types of engagement identified via a novel interdisciplinary methodology (Vaughan, H., & Johns, L. N. [2021]. Beyond frame analysis: Formal analysis and genre typology in the communication study of short-form environmental video messaging. Journal of Environmental Media, 2(1), 55–78. https://doi.org/10.1386/jem_00040_1) combining formal analysis and genre theory in short-form videos on sea-level rise. We employ a mixed-methods approach in order to examine how formal aspects, such as the use of direct address, voiceover, computer animation and digital simulation, narrative structure, and musical score impact viewer reception of 10 short-form videos and sharing behavior. An inductive analysis of emergent themes identifies several notable aspects that should be considered by practitioners of environmental media in the design and execution of compelling and persuasive short-form videos. Key results point to the importance of focusing on human stories and voices, a narratology that emphasizes practical actions and solutions, a measured use of humor and overly evocative musical scores, as well as the importance of video source and overall quality.
Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification

Vulnerability of speaker veriﬁcation (SV) systems under adversarial attack receives wide attention recently. Simple and effective countermeasures against such attack are yet to be developed. This paper formulates the task of adversarial defense as a problem of attack detection. The detection is made possible with the veriﬁcation scores from a pair of purposely selected SV models. The twin-model design comprises a fragile model paired up with a relatively robust one. The two models show prominent score inconsistency under adversarial attack. To detect the score inconsistency, a simple one-class clas-siﬁer is adopted. The classiﬁer is trained with normal speech samples, which not only bypasses the need of crafting adversarial samples but also prevents itself from over-ﬁtting to the crafted samples, and hence makes the detection robust to un-seen attacks. Compared to single-model systems, the proposed system shows consistent and signiﬁcant performance improvement against different attack strategies. The false acceptance rates (FARs) are reduced from over 63.54% to 2.26% under the strongest attack. Our approach has practical beneﬁts, e.g., no need to modify a well-deployed SV model even it is well-known and can be fully accessed by the adversary. Moreover, it can be combined with existing single-model countermeasures for even stronger defenses.
Mediating Role Factors Affecting on Adoption e Learning among Academic Staffs in Jordanian Universities

The purpose of this study is to examine the factors that determine the intention to adopt e-learning in Jordanian universities. Two models of e-learning are observed among adopting institutions: E-learning as a supplement to traditional classroom mode, and total electronic learning. The respondents in this research have just been introduced to the first model. The paper takes a social, and technical approach in its investigation by using a research model based on the Theory of Planned Behaviour (TPB) to identify the factors that affect intention to adopt e-learning. The model identifies specific salient beliefs that may influence technology usage, such as instructors' attitude, subjective norm, perceived behavioral control, perceived usefulness, ease of use, Normative beliefs, Internet Self-efficacy, Perceived Accessibility, and university support. A stratified random sampling method was used to select instructors. Hierarchical Multiple Regression Analysis was used to assess the relationships in the constructs. The paper presents some findings on e-learning adoption intention determinants. It also discusses some of the implications of the findings on theory and practice.
Global Navigation Satellite Systems Spoofing Detection through measured Autocorrelation Function Shape Distortion

With the expansion in Global Navigation Satellite System (GNSS) constellations and emerging applications utilizing GNSS systems, the issue of detection of interference is evolving as a growing concern in the satellite navigation user community. Threats for GNSS users can be classified as unintentional interference, jamming, and spoofing. Spoofing is more harmful among them because the target receiver might not be aware of the attack and, as a consequence, generate misleading position information. Spoofing attacks are classified as simplistic, intermediate, and sophisticated depending on their complexity of implementation. We focused primarily on the detection of intermediate spoofing attacks by measuring shape distortion (SD) through multiple correlators that cover multiple chips around the prompt tracking point. The SD metric compares the measured and typical values of the autocorrelation function and decides on the spoofing using a noise variance based threshold. The proposed SD metric is found to be very effective in detecting the spoofing attack during the pull‐off phase of the attack. The method is verified through simulations, synthetic spoofing data, and the TEXBAT data shared by the University of Texas, Austin. Different formulations of the proposed method are compared to provide an optimal number of correlator taps in each channel.
Wayfinding in Virtual Reality Serious Game: An Exploratory Study in the Context of User Perceived Experiences

Extended reality (XR) technologies such as virtual reality (VR) provide a promising alternative for training users through serious games (SGs). VR SGs allow people to train in emergency scenarios and improve their likelihood of survival in high-risk situations. Studies have shown that incorporating design elements such as wayfinding cues enhances the spatial knowledge of users in VR. However, the impact of these wayfinding cues on users’ psychological and psychometric behaviors needs thorough investigation. An SG was designed to investigate wayfinding cues’ psychological and psychometric effects on user-perceived experiences in an immersive VR environment. Thirty-nine participants experienced three variants of the VR SG using Oculus Rift- S. Participants in the control condition were exposed to the VR with no wayfinding cues, and the experimental groups were exposed to VR with static and dynamic wayfinding cues. Results showed that VR SG with wayfinding cues induced less tension, challenge, and negative affects in users’ overall perceived experience. Similarly higher positive affects were observed for the experimental groups with wayfinding cues. It was interesting to observe that there were no significant effects of wayfinding on competence, flow, and immersion; however, heart rate was significantly high in the control group. These findings suggest that wayfinding cues can promote the users perceived quality of experience in the VR.
Integrated mineralogical and typological study of Axe-God pendants from the Jade and pre-Columbian Culture Museum in Costa Rica

The mineralogical composition and typological classification of a group of 226 Axe-God pendants from the Jade and pre-Columbian Culture Museum (from the Instituto Nacional de Seguros) in San José (Costa Rica) was studied, using a non-invasive characterization technique and a novel stylistic classification scheme. Possible composition-design correlations were examined through descriptive and functional statistical analysis. This study constitutes an initial step towards the comprehensive analysis of this distinctive pendant design.
A Simple Planning Problem for COVID-19 Lock-down, Testing, and Tracing

We study the optimal lock-down for a planner who controls the fatalities of COVID-19 while minimizing the output costs of the lockdown. The policy prescribes a severe lock-down beginning a few weeks after the outbreak, covering almost 50 percent of the population after a month, with a total duration shy of 4 months. The intensity of the optimal lock-down depends on the gradient of the fatality rate with respect to the infected and the availability of antibody testing, which yields a welfare gain of 2 percent of GDP. We also study test-tracing-quarantine, which we show to be complementary to lock-down.
School belonging constellations considering complete mental health in primary schools

ABSTRACT Introduction: The investigation of school belonging is crucial due to its established significant associations with mental health, academic achievement, and risky behaviours coupled with the limited research documenting the configurations of children’s school belonging experiences. Objective: This study sought to better understand elementary students’ experiences of school belonging and how they correspond to mental health outcomes. Method: The current study explores school belonging in upper elementary school California students (N = 619). Latent profile analysis was conducted to determine the constellations of experiences. Path analyses were then added to the model to determine mental health outcomes for each emerging profile. Results: Latent profile analysis revealed the best fit for a three-profile solution: Low School Belonging, Moderate School Belonging, and High School Belonging. The majority of students were classified in the Low and Moderate School Belonging profiles. Demographic covariates indicated that female and Latinx students were more likely to experience high belonging than males and non-Latinx students. Concerning proximal outcomes, students in the High School Belonging profile reported higher psychological strengths and lower psychological distress. Conclusion: Practical implications include assessing and promoting school belonging more effectively in students, given the small percentage of students who perceive high levels of school belonging.
The Relationship Between Internet Addiction and Sleep Quality Among Human Sciences Undergraduates During The Covid-19 Pandemic

A cross-sectional study was conducted to investigate the relationship between internet addiction and sleep quality among Human Sciences undergraduates during the COVID-19 pandemic in Malaysia. A group of 36 male (M=36) and 132 female (F=132) undergraduates, age ranged between 17-29 participated in the study. The Internet Addiction Test (IAT) was used to measure the level of internet addiction while the Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality. Using Spearman’s rho Correlation Coefficient to analyse the relationship, the study found a statistically significant positive correlation between internet addiction and sleep quality (rs(166)=. 190, p=. 007). This indicated that higher level of internet addiction was associated with progressively worse sleep quality. The findings could be useful for psychologists, educational counselors, government, researchers, and students in designing interventions to help students using the internet without the risk of addiction and improve their quality of sleep. Implications, limitations of the study, and suggestions for future research were discussed.