Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of the science e-module based on guided inquiry with the flipped classroom strategy to improve students science process skills

This study aims to determine the influence of implementing a science e-module based on guided inquiry with the flipped classroom strategy to improve junior high school students' science process skills. The research used is pre-experimental with one group pretest-posttest research design to determine the improvement of students' science process skills in one group without any comparison group. The research sample is grade eight junior high school students at SMP Gresik, Indonesia, with a total of 30 students that consist of 15 males and 15 females. The research instruments used are tests (pretest-posttest), observation (students' activity sheets), and survey (students' response questionnaire). The data collection techniques used are written, observation, and survey methods. The results of the tests are analyzed using the N-Gain calculation, which obtained 0.66, which is included in the medium category. The result of the observational analysis towards the improvement of science process skills has a very good category with a percentage of 94.8%. Meanwhile, the student response survey analysis has an average presentation of 96.7% in the very good category. The results of this study indicate that implementing a science e-module based on guided inquiry with the flipped classroom strategy can effectively improve junior high school students' science process skills.
Workforce Experiences of a Rapidly Established SARS-CoV-2 Asymptomatic Testing Service in a Higher Education Setting: A Qualitative Study

The aim of the study was to explore workforce experiences of the rapid implementation of a SARS-CoV-2 asymptomatic testing service (ATS) in a higher education setting during the COVID-19 pandemic. The setting was a multi-campus university in the UK, which hosted a testing service for employees and students over two years. Qualitative semi-structured videoconference interviews were conducted. We contacted 58 participants and 25 were interviewed (43% response rate). Data were analysed thematically. The analysis produced four overarching themes: (1) feelings relating to their involvement in the service, (2) perceptions of teamwork, (3) perceptions of ATS leadership, (4) valuing the opportunity for career development. Agile and inclusive leadership style created psychological safety and team cohesion, which facilitated participants in the implementation of a rapid mitigation service, at pace and scale. Specific features of the ATS (shared vision, collaboration, networking, skills acquisition) instilled self-confidence, value and belonging, meaningfully impacting on professional development and career opportunities. This is the first qualitative study to explore the experiences of university employees engaged in the rapid deployment of a service as part of a pandemic outbreak and mitigation strategy within a higher education setting. Despite pressures and challenges of the task, professional growth and advancement were universal. This has implications for workforce engagement and creating workplaces across the sector that are well-prepared to respond to future pandemics and other disruptive events.
Automatic Bridge between BPMN Models and UML Activity Diagrams based on Graph Transformation

Model Driven Engineering (MDE) provides available tools, concepts and languages to create and transform models. One of the most important successes of MDE is model transformation; it permits transforming models used by one community to equivalent models used by another one. Moreover, each community of developers has its own tools for verification, testing and test case generation. Hence, a developer of one community who moves to work with another community needs a transformation process from the second community to (his/her) own community and vice versa. Therefore, the target community can benefit from the expertise of the source one and the developers do not begin from zero.In this context, we propose in this paper an automatic transformation to create a bridge between the BPMN and UML communities. We propose an approach and a visual tool for the automatic transformation of BPMN models to UML Activity Diagrams (UML-AD). The proposed approach is based on Meta-Modeling and Graph Transformation, and uses the AToM3 tool. Indeed, we were inspired by the OMG meta-models of BPMN and UML-AD and implemented versions of both meta-models using AToM3. This last allows generating automatically a visual modeling tool for each proposed meta-model. Based on these two meta-models, we propose a graph grammar composed of sixty rules that perform the transformation process. The proposed approach is illustrated through three case studies.
Radio Observations of the Pulsar Wind Nebula HESS J1303-631 Field of View with ATCA

Based on its enregy-dependent morphology the initially unidentified very high energy (VHE; E & 100 GeV) gamma-ray source HESS J1303 631 was recently associated with the pulsar PSR J1301 6305. Subsequent detection of X-ray and GeV counterparts also supports the identification of the H.E. S.S. source as evolved pulsar wind nebula (PWN). We report here on recent radio observations of the PSR J1301 6305 field of view (FOV) with ATCA dedicated to search for the radio counterpart of this evolved PWN. Observations at 5.5 GHz and 7.5 GHz do not reveal any extended emission associated with the pulsar. The analysis of the archival 1.384 GHz and 2.368 GHz data also does not show any significant emission. The 1.384 GHz data reveal a hint of an extended shell-like emission in the PSR J1301 6305 FOV which might be a supernova remnant. We discuss the implications of the non-detection at radio wavelengths on the nature and evolution of the PWN as well as the possibility of the SNR candidate being the birth place of PSR J1301 6305.
Entangled singularity patterns of photons in Ince-Gauss modes

Photons with complex spatial mode structures open up possibilities for new fundamental high-dimensional quantum experiments and for novel quantum information tasks. Here we show entanglement of photons with complex vortex and singularity patterns called Ince-Gauss modes. In these modes, the position and number of singularities vary depending on the mode parameters. We verify two-dimensional and three-dimensional entanglement of Ince-Gauss modes. By measuring one photon and thereby defining its singularity pattern, we nonlocally steer the singularity structure of its entangled partner, while the initial singularity structure of the photons is undefined. In addition we measure an Ince-Gauss specific quantum-correlation function with possible use in future quantum communication protocols.
THE HERCULES SATELLITE: A STELLAR STREAM IN THE MILKY WAY HALO?

We investigate the possibility that the recently discovered Hercules Milky Way (MW) satellite is in fact a stellar stream in formation, thereby explaining its very elongated shape with an axis ratio of 3:1. Under the assumption that Hercules is a stellar stream and that its stars are flowing along the orbit of its progenitor, we find an orbit that would have recently brought the system close enough to the MW to induce its disruption and transformation from a bound dwarf galaxy into a stellar stream. The application of simple analytical techniques to the tentative radial velocity gradient observed in the satellite provides tight constraints on the tangential velocity of the system (vt = −16+6−22 km s-1 in the Galactic standard of rest). Combined with its large receding velocity, the determined tangential velocity yields an orbit with a small pericentric distance (Rperi = 6+9−2 kpc). Tidal disruption is therefore a valid scenario for explaining the extreme shape of Hercules. The increase in the mean flattening of dwarf galaxies as one considers fainter systems could therefore be the impact of a few of these satellites not being bound stellar systems dominated by dark matter but, in fact, stellar streams in formation, shedding their stars in the MW's stellar halo.
Transgender and Gender-Diverse People's Experiences of Minority Stress, Mental Health, and Resilience in Relation to Perceptions of Sociopolitical Contexts.

Purpose The sociopolitical context in which transgender and gender-diverse (TGD) people live has significant effects on mental health. We examined whether perceptions of context (TGD people's perceptions of how TGD people were viewed) differed across four United States (U.S.) states and associations with mental health and identity pride, the mediational effects of minority stressors, and potential buffering effects of resilience. Methods TGD individuals in Oregon, Michigan, Nebraska, and Tennessee (n=158; ages 19-70, mean=33.06) completed questionnaires assessing their perceptions of how TGD people were viewed in their local area and in the U.S., as well as scales assessing minority stressors, pride, resilience, and mental health. Data were collected during Fall 2019 to Spring 2020. Results Oregon participants viewed perceptions in their state the most positively, with no state-level differences in terms of broader U.S. perceptions. Tennessee participants experienced more expectations of rejection; however, there were no differences across the states in other minority stress variables, identity pride, resilience, or mental health. Participants who viewed their area as having more negative views of TGD people reported higher levels of discrimination, expectations of negative events, internalized stigma, and anxiety, as well as less pride. The effects of perceptions of local context on mental health were partially explained by enacted stigma and internalized stigma. Resilience did not buffer the effects of perceptions of the local context on mental health or pride. Conclusion Context is important to shaping exposure to minority stressors and mental health, potentially through increasing enacted and internalized stigma.
On-station evaluation of straws and stovers with urea to increase utilization in Somali Region

Wheat straw (WS), barley straw (BS), sorghum stover (SS), and maize stover (MS) were subjected to different times of ensiling and urea treatment levels in order to identify the most effective ensiling time and urea treatment level to attain preferable nutritional aptitude. Both straws and stovers were treated with 0.40 and 0.50 g concentration levels of urea solution dissolved in 0.8 L of water and sealed plastic sheet for one to four weeks. Accordingly, to the general observation at the time of opening, there was no mold growth, appeared golden brown in color, and had soft consistency with a strong ammonia smell ensuring the effectiveness of the treatment. The chemical analyses and IVDMD were done at HRCL. The results showed that the urea level had a no-significant effect on all chemical compositions and IVDMD for all urea-treated straws and stovers. Therefore, treatment with 40 g urea may be more economical. On the other hand, negative and significant (P<0.001) correlations existed between IVDMD and fiber fractions for all treatments. While other quality parameters, IVDMD and CP, were strongly correlated (r=0.90) (P<0.01) for WS and BS. The results also revealed that the treatment duration on both straws and stovers should be 28 days
A study of the fractional quantum Hall effect: Odd and even denominator plateaux

We present a different approach to the fractional quantum Hall effect (FQHE), focusing it as a consequence of the change in the symmetry of the Hamiltonian of every electron in a two-dimensional electron gas (2DEG) under the application of a magnetic field and in the presence of an electrostatic potential due to the ionized impurities, and leading to a breaking of the degeneration of the Landau levels. As the magnetic field increases the effect of that electrostatic potential evolves, changing in turn the spatial symmetry of the Hamiltonian: from continuous to discrete one. The aim of both works is to give a different picture not only of the FQHE phenomenon, but a coherent one with the integer quantum Hall effect (IQHE) and consistent with the model already described in Hidalgo7, 8, 9. Therefore the model gives a global view of both effects, showing that they are aspects of the same phenomenon, and justifying not only the appearance of the odd denominator plateaux but also the even ones; and giving some physical reasons for the experimental fact that there are much more odd than even denominator plateaux, hardly observed
Quantum choppers

An optical chopper periodically interrupts a classical light beam. We propose a realizable quantum version of the optical chopper, where the time-periodic driving of the light-matter coupling is achieved through a nonlinear three wave mixing element. We theoretically investigate how our scheme can be used for the controllable shaping of few photon light. Using Floquet dynamics, we find strong periodic modulations of the transmission and reflection envelopes in the scattered few-photon pulses, including photon compression and blockade, as well as dramatic changes in the quantum light statistics. Our theoretical analysis allows us to explain these non-trivial phenomena as arising from non-adiabatic memory effects.
The cost of pleasing social expectations: A serial mediation of Israeli mothers’ anxiety and depression in the relationship between defensiveness and parental self-efficacy

In a social atmosphere of expecting mothers to sacrifice their own wellbeing for the sake of their children's wellbeing, pregnant women are compelled to find their stance in relation to these sets of expectations. The current study aimed at exploring the relationship between Israeli women's tendency to meet social expectations, that is, defensiveness at the end of pregnancy and parental self-efficacy five months postnatal, and at examining the role of anxiety and depression two months postnatal in this relationship. Participants included 238 Israeli women who completed self-reported questionnaires at three time points: during the third trimester of pregnancy (T1), two months after giving birth (T2), and three months later (T3). The questionnaires focused on background variables, defensiveness (T1), anxiety (T2), depression (T2), and parental self-efficacy (T3). Multiple regression analyses were conducted to assess a serial mediating model, which revealed that defensiveness (T1) impacts parental self-efficacy (T3). Additionally, anxiety (T2) and depression (T2) mediate this relationship, while controlling for age, education, and income (T1). The findings suggest that in the relationship between defensiveness at the end of pregnancy and parental self-efficacy five months postnatal, anxiety and depression served as the detrimental mechanism. The findings are discussed considering self-theories.
Cold Compaction and Macro‐Porosity Removal in Rubble‐Pile Asteroids: 2. Applications

Models of asteroid collisional evolution suggest that many asteroids are gravitationally‐bound rubble piles. Although rubble piles may be expected to retain large void fractions, compaction may reduce the porosity. We apply models for cold compaction of rubble‐pile bodies developed in a companion paper toward observations of asteroid densities. The model for chondritic boulders is applied to S‐type (stony) and C‐type (carbonaceous) asteroids. The relation between density and size of S‐type asteroids is largely explained by cold compaction of rubble piles through fracturing of boulders, under the assumption that boulder size distributions are narrow before fracturing and fractal‐like afterward. The density variation of C‐type asteroids can only partly be explained by this mechanism, and the removal of micro‐voids inside the boulders would be required to match observations. The model for metal boulders is applied to M‐type asteroids, and the results suggest that, because of cold welding between metal boulders and the high yield strength of metal for either ductile or brittle‐like deformation, metallic rubble piles can preserve large (≳50%) porosities if the boulders are ∼1 m in size. This implies that M‐type asteroids such as Psyche and Kleopatra may be purely metallic, even though their densities are less than half that of iron. We also consider the hypothesis that Psyche is a primitive body of a CB chondrite‐like material. Assuming that the strength of CB chondrite is controlled by a silicate matrix, we predict that the density of a Psyche‐sized rubble pile of CB chondrite is higher than that of Psyche.
Business Development Strategy: A case study at the fastest food packaging converter printing company in Malaysia

However, to become a leading one-stop solution provider to support all packaging requirements from global clients, they must invest in new technology for business development strategy. This study focused on the challenges faced by a food packaging converter, Company A using the flexography technology from Koenig & Bauer as the first Asian country that invests with the technology to enable them to define new yardsticks in the packaging sector. This study also discussed strategies for material usage with the new printing technology. Now, the food packaging converter industry is thriving to the next level of business growth by partnering with an international packaging company subsidiary to sustain its business continuity as a global alliance of packaging printing companies. Keywords: Printing technology investment; Print on demand; Business development; Strategy; food packaging material. eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI8. 3913
Factorial Exploratory Model of Risk Perception

The exploration of the dimensions of digital activism was the objective of this work. A non-experimental study was carried out with a non-probabilistic selection of 150 students, considering their affiliation with student organizations. A four-dimensional structure was established; technological habitus, computational self-efficacy, diffusion of innovations and Internet mobilization that explained 48% of the total variance, although the design limited the results to the research scenario, suggesting the extension of the study and the inclusion of variables such as; training, socialization and intention to use the devices and networks.
A Proportional Observer Bias Model for Multispecies Distribution Modeling

Presence-only records commonly suffer from large, unknown biases due to their typically haphazard collection schemes. Presence-absence or count data collected in systematic, planned surveys are more reliable but less abundant. We proposed a probabilistic model to allow for joint analysis of these two distinct data types to exploit their complementary strengths. Our method pools presence-only and presence-absence data for many species and maximizes a common likelihood, simultaneously estimating and adjusting for the observer bias affecting the presence-only data. By assuming that the observer bias does not vary across species, we can borrow strength across species to efficiently estimate the bias and improve our inference from presence-only data. We evaluate our model’s performance on data for 36 eucalypt species in southeastern Australia. We find that presence-only counts exhibit a strong observer bias toward the coast and toward Sydney, the largest city. Our data-pooling technique substantially improves the out-of-sample predictive performance of our model when the amount of available presenceabsence data for a given species is scarce. If we have only presence-only data and no presence-absence data for a given species, but both types of data for several other species having similar patterns of detectability, then our method can obtain an unbiased estimate of the first species’ geographic range.
Quintessence and phantom cosmology with nonminimal derivative coupling

We investigate cosmological scenarios with a nonminimal derivative coupling between the scalar field and the curvature, examining both the quintessence and the phantom cases in zero and constant potentials. In general, we find that the universe transits from one de Sitter solution to another, determined by the coupling parameter. Furthermore, according to the parameter choices and without the need for matter, we can obtain a big bang, an expanding universe with no beginning, a cosmological turnaround, an eternally contracting universe, a big crunch, a big rip avoidance, and a cosmological bounce. This variety of behaviors reveals the capabilities of the present scenario.
Presumed Roles of APRO Family Proteins in Cancer Invasiveness

Simple Summary Here, we discuss the invasiveness of cancer cells in relation to APRO family proteins on the basis of understanding the function of matrix metalloproteinases (MMPs) and/or exosomes. Although APRO family proteins could regulate cancer invasiveness, alternative consequences might occur due to the distinctive effects of MMPs and/or exosomes containing certain microRNAs. Such knowledge could be of use to bring about novel strategies for cancer therapy. Abstract The APRO family members may be involved in the regulation of cell growth, migration, and/or invasion. Although an APRO protein could suppress the invasiveness of several cancer cells, it has been reported that overexpression of the same APRO protein could also promote the invasiveness and/or metastasis of the same cancer cells. In general, the invasiveness of cancer cells might be associated with the function of matrix metalloproteinases (MMPs) as well as with the function of certain exosomes. However, it has been shown that exosomes involving particular APRO proteins, MMPs, and/or microRNA could contribute to the regulation of invasiveness. Here, we discuss contradictory reports on invasiveness in relation to APRO family proteins on the basis of understanding the function of MMPs and/or various exosomes. A better understanding of those mechanisms could be of use to bring about innovative strategies for cancer treatment.
A meta-analysis study on the effectiveness of a cooperative learning model on vocational high school students’ mathematics learning outcomes

Cooperative learning takes place when students work together in small groups to help each other comprehend a subject. This meta-analysis aims to determine the impact of cooperative learning on vocational high school students’ mathematics learning results compared to those that pertain to conventional learning. Data from 22 research studies, including the sample size, standard deviation, and mean for both the experimental and control groups and other information, were collected using descriptive analysis. The data analysis technique used meta-analysis on forest plots, with analytical techniques including heterogeneity testing, effect size calculation, summary effect calculation using a random-effects model, and identification of publication bias. The results showed that the effectiveness of cooperative learning was 0.89, which gave a medium effect on the mathematics learning outcomes of vocational high school students . The cooperative learning model also provides a measure of higher effectiveness in grade 11 than grade 10 and learning at a sample size of 1-30 students compared to more than 30 students. The effectiveness of cooperative learning on mathematics learning outcomes in the medium effect category, on the other hand, is dependent on grade level variables and sample size. This meta-analysis research provides information to teachers in Indonesia to implement cooperative learning based on the level and number of students in the class to improve the mathematics learning outcomes of vocational high school students.