Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating Mentorship Metaphors: Pacific Island Perspectives

The authors facilitated three inter-professional mentorship workshops in Fiji and Tonga, which were part of a series of such events that they recently conducted across the Pacific region. These workshops, in turn, formed part of a larger, ongoing leadership initiative co-sponsored by several local, regional, and international organizations. The purpose of each workshop was to facilitate each multi-disciplinary cohort of leaders in attendance to begin to create an adaptable mentorship model that would fit their unique Pacific contexts. One task within these model-development sessions was for each cohort to create metaphors that they believed best encapsulated the essence of their specific mentorship approach. In this article, the authors summarize aspects of that creative process, present several metaphors that the three cohorts generated, and raise implications regarding future mentoring initiatives.
Olfactory working memory: exploring the differences in n-back memory for high and low verbalisable odorants

ABSTRACT We describe four experiments each examining n-back performance for high and low verbalisable odorants. Participants were presented with a sequence of odorants and were required to state if the current odorant was the same or different to the odorant presented two items earlier. Experiment 1 reported superior performance for high, relative to low, verbalisable odorants and was evident despite above-chance memory performance for the low verbalisable odorants. Experiment 2 showed that such superiority persisted with a concurrent articulation condition, suggesting that the memory benefit was not a consequence of verbal recording and rehearsal. Experiment 3 employed metacognitive judgments and showed that correct 2-back responses for high verbalisable odorants received more recollection responses compared to low verbalisable odorants. Experiment 4 compared n-back performance across different stimulus types and showed that, for high verbalisable odorants, performance correlated with both letters and abstract shapes, but such correlations were absent for low verbalisable odorants. Taken together, these findings show differences in n-back performance between high and low verbalisable odorants, and show that high verbalisable odorants exhibit performance similarities with both verbal and visual stimuli. We further argue that n-back performance for low verbalisable odorants operates differently to that of high verbalisable odorants.
Construction and Numerical Realization of a Magnetization Model for a Magnetostrictive Actuator Based on a Free Energy Hysteresis Model

Giant magnetostrictive actuators (GMA) driven by giant magnetostrictive material (GMM) has some advantages such as a large strain, high precision, large driving force, fast response, high reliability, and so on, and it has become the research hotspot in the field of microdrives. Research shows there is a nonlinear, intrinsic relationship between the output signal and the input signal of giant magnetostrictive actuators because of the strong coupling characteristics between the machine, electromagnetic field, and heat. It is very complicated to construct its nonlinear eigenmodel, and it is the basis of the practical process of giant magnetostrictive material to construct its nonlinear eigenmodel. Aiming at the design of giant magnetostrictive actuators, the magnetization model based on a free-energy hysteresis model has been deeply researched, constructed, and put forward by Smith, which combines Helmholtz–Gibbs free energy and statistical distribution theory, to simulate the hysteresis model at medium or high driving strengths. Its main input and output parameters include magnetic field strength, magnetization, and mechanical strain. Then, numerical realization and verification of the magnetization model are done by the Gauss–Legendre integral discretization method. The results show that the magnetization model and its numerical method are correct, and the research results provide a theoretical basis for the engineering application of giant magnetostrictive material and optimized structure of giant magnetostrictive material actuators, which have an important practical application value.
Aneurysmal subarachnoid hemorrhage: imaging strategies and cost-effectiveness aspects in diagnostic work-up and post-therapeutic follow-up

Background and purpose: Most centers use computed tomographic angiography (CTA) as the primary diagnostic tool in patients presenting with a subarachnoid hemorrhage (SAH). Contrast enhanced magnetic resonance angiography (CEMRA) might be an alternative technique. In this study the ability to detect cerebral aneurysms with CEMRA in patients presenting with a SAH is investigated and compared with CTA. Methods: In 75 consecutive patients, two experienced neuroradiologists evaluated CEMRA and CTA images. Digital Subtraction Angiography (DSA) served as standard of reference. The diagnostic performance in detection of aneurysms, in terms of sensitivity, specificity and interobserver variability, was calculated for both modalities and a comparison was made between the two. Results: No significant difference was found between the two modalities for the detection of aneurysms: sensitivities for the two observers were 96.6 and 93.8 respectively for CEMRA and 90.8 and 92.3 for CTA; specificities were 77.8 and 88.9 for CEMRA and 94.4 in both observers for CTA. Kappa values for interobserver variability were 0.82 for CEMRA and 0.85 for CTA. Conclusion: The diagnostic accuracy of CEMRA and CTA in the work-up of patients presenting with a SAH does not differ significantly. The choice to use either CEMRA or CTA depends on preference or availability.
Data-Driven Distributed Optical Vibration Sensors: A Review

Distributed optical vibration sensors (DOVS) have attracted much attention recently since it can be used to monitor mechanical vibrations or acoustic waves with long reach and high sensitivity. Phase-sensitive optical time domain reflectometry (<inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR) is one of the most commonly used DOVS schemes. For <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR, the whole length of fiber under test (FUT) works as the sensing instrument and continuously generates sensing data during measurement. Researchers have made great efforts to try to extract external intrusions from the redundant data. High signal-to-noise ratio (SNR) is necessary in order to accurately locate and identify external intrusions in <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR systems. Improvement in SNR is normally limited by the properties of light source, photodetector and FUT. But this limitation can also be overcome by post-processing of the received optical signals. In this context, detailed methodologies of SNR enhancement post-processing algorithms in <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR systems have been described in this paper. Furthermore, after successfully locating the external vibrations, it is also important to identify the types of source of the vibrations. Pattern classification is a powerful tool in recognizing the intrusion types from the vibration signals in practical applications. Recent reports of <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR systems employed with pattern classification algorithms are subsequently reviewed and discussed. This thorough review will provide a design pathway for improving the performance of <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula>-OTDR while maintaining the cost of the system as no additional hardware is required.
Development of Teaching Factory Model At Vocational High School (VHS) In Indonesia

Vocational education has an important role in the effort to create a workforce that has competencies that are in accordance with the needs of the industrial world. But the open unemployment rate in Indonesia in February 2018 was 6.87 million people and 8.92% of them were graduates of VHS. Why does that much unemployment happen? Is the learning process at VHS not yet qualified, so that the quality of VHS graduates is still low? Can the teaching factory improve the quality of VHS graduates? To answer this question, research needs to be done. This research was conducted using literature studies on related references, and a number of research reports on teaching factories conducted at VHS and continued with FGD. The results of the study concluded that the teaching factory consisted of planning, organizing, implementing, and evaluating. The teaching factory developed was integrated with the production unit that was used for the practice of students, so that VHS graduates became qualified and ready to enter the workforce.
Fractional Laplacians viscoacoustic wavefield modeling with k-space-based time-stepping error compensating scheme

The spatial derivatives in decoupled fractional Laplacian (DFL) viscoacoustic and viscoelastic wave equations are the mixed-domain Laplacian operators. Using the approximation of the mixed-domain operators, the spatial derivatives can be calculated by using the Fourier pseudospectral (PS) method with barely spatial numerical dispersions, whereas the time derivative is often computed with the finite-difference (FD) method in second-order accuracy (referred to as the FD-PS scheme). The time-stepping errors caused by the FD discretization inevitably introduce the accumulative temporal dispersion during the wavefield extrapolation, especially for a long-time simulation. To eliminate the time-stepping errors, here, we adopted the k-space concept in the numerical discretization of the DFL viscoacoustic wave equation. Different from existing k-space methods, our k-space method for DFL viscoacoustic wave equation contains two correction terms, which were designed to compensate for the time-stepping errors in the dispersion-dominated operator and loss-dominated operator, respectively. Using theoretical analyses and numerical experiments, we determine that our k-space approach is superior to the traditional FD-PS scheme mainly in three aspects. First, our approach can effectively compensate for the time-stepping errors. Second, the stability condition is more relaxed, which makes the selection of sampling intervals more flexible. Finally, the k-space approach allows us to conduct high-accuracy wavefield extrapolation with larger time steps. These features make our scheme suitable for seismic modeling and imaging problems.
Blended learning activities in blended learning environments : experiences from Mzumbe University, Tanzania

In Tanzania, learning management system (LMS) and content management system (CMS) such as Edmodo, Blackboard, Moodle and Canvas are used as platforms for BL (BL) delivery. Such delivery requires a combination of a variety of digital educational technologies and traditional instructional delivery modes in which assortment of academic activities support and enhance authentic academic learning. In this quasi-review article, we discuss several BL activities in BL environments (BLEs) with reference to Mzumbe University LMS nine years experiences. The paper used non-interactive research inquiry including literature review and quasi-participant observations. Ten BL courses including its actual practical execution both in LMS and traditional face-to-face were observed. Findings reveal that BL activities are conducted at distinct levels of learning and percentages. Further, the findings showed that traditional learning environments dominate e-learning environment with the percentage of utilisation. We observed both online, and offline BL activities based on nature of subject contents and context of activities. For successful adoption and implementation of BL pedagogy, planning and designing appropriate BL activities need to accommodate five significant aspects: instructors’ professional development, learners’ help desk for e-learning courses, learner’s sociocultural background, institutions support and teacher and learner readiness to engage in authentic academic learning.
A Family of Y-Impedance-Network Half-Bridge Converters with Additional Voltage Adjustment Function

Half-bridge converters have been widely used in multiple medium power level applications because of the advantages of having less switches and being easy to control. However, their inherent structure leads to low output amplitude and shoot-through problems. In this study, we propose a family of novel half-bridge converters implementing a Y-impedance-network with additional buck-boost voltage adjustment function with the aim of resolving these issues. In order to verify the effectiveness of the proposed topologies, simulations and experiments were conducted, the results which well validate the feasibility of the proposed converters.
Coping with Fatigue : Caring for people with cancer

Sometimes, reading is very boring and it will take long time starting from getting the book and start reading. However, in modern era, you can take the developing technology by utilizing the internet. By internet, you can visit this page and start to search for the book that is needed. Wondering this coping with fatigue is the one that you need, you can go for downloading. Have you understood how to get it?
Computer Self-Efficacy Perceptions of Music Teacher Candidates and Their Attitudes towards Digital Technology

The aim of this study was to investigate the attitudes of music teacher candidates on computer self-efficacy perceptions and digital technology according to different variables. In this research, correlational survey model is used as a general survey model and also during data collection process of research, criterion sampling is used as purposive sampling. The focus group of the research consists of 102 students studying music education at Ondokuz Mayis University in the 2018-2019 academic year. Computer Self-Efficacy Perception Scale and Attitude Scale towards Digital Technology Scale were used as data collection tools for the study. According to the results of the study, it was found that there was a significant relationship between the levels of computer self-efficacy perception and the attitudes towards digital technology of the music teacher candidates who participated in the research. The self-efficacy perceptions of the students significantly differed according to their gender, to have a personal computer and the time they first used the computer for educational purpose and their attitudes towards digital technology significantly differed according to their gender, class level and computer ownership.
Identity and Learning: a study on the effect of student-teacher gender interaction on student's learning

In this paper we examine whether students' and teachers' social identity play any role in the learning outcome of the students. More importantly, we ask if a student bene fits by learning from a teacher of the same gender. Unlike the existing literature which explains such interaction in terms of role model based effect, we explain such interaction in terms of gender based sorting across private and public schools. Our results are driven by two critical difference between male and female members. For male and female teachers, the difference comes from their differential opportunity costs of teaching in schools at remote locations. For students, the difference between male and female members comes from the differential return to their human capital investment by parents - where for girls, a lower fraction of the return comes to their parental families after they are married following patriarchal norm. These factors create a sorting pattern which leads to an impact of gender matching. We then test our theoretical results using survey data collected from Andhra Pradesh.
Identifying vocational student teachers’ competence using an ePortfolio

The claim of advancing the use of Personal Learning Environments arose from the ideas of an ongoing learning process which lasts throughout a lifetime and informal learning being a meaningful part of the development of an individual’s expertise. In order to develop expertise, the following steps are necessary: first, one must explore the competences related to the profession; second, one must discover what these competencies and skills involve; and third, one must reflect on how to master the techniques involved. In addition to this kind of individual process, it is also important nowadays to acknowledge that demonstrating that one has achieved the necessary competences is important information for many audiences, such as workplaces, networks and employers. Nowadays, the most effective way to show one’s competence to a wider audience, as well as to review one’s skills oneself, is to create a digital record or portfolio (an ePortfolio). However, making an individual’s competence transparent in a digital format has proven complicated. This study focuses on exploring vocational student teachers’ competence through their ePortfolios, mainly using a theoretical framework of the pedagogical infrastructure design. The study reveals that there is a lot of variation in the quality of ePortfolios and therefore more scaffolding is needed to support student teachers in making their teacher competence visible through ePortfolios. The study advocates both creating a workspace ePortfolio as well as making competence transparent through a showcase ePortfolio.
Long‐Term Evolution of Nontransform Discontinuities at the Mid‐Atlantic Ridge, 24°N–27°30′N

We studied long‐term evolution of nontransform discontinuities (NTDs) on the Mid‐Atlantic Ridge from 0‐ to ~20‐ to 25‐Ma crust using plate reconstructions of multibeam bathymetry, long‐range HMR1 sidescan sonar, residual mantle Bouguer gravity anomaly (RMBA), and gravity‐derived crustal thickness. NTDs have propagated north and south with respect to flowlines of relative plate motion and both rapidly and slowly compared to the half spreading rate; at times they have been quasi‐stable. Fast, short‐term (<2 Myr) propagation is driven by reduced magma supply (increased tectonic extension) in the propagating ridge tip when NTD ridge‐axis offsets are small (≲5 km). Propagation at larger offsets generally is slower and longer term. These NTDs can show classic structures of rift propagation including inner and outer pseudofaults and crustal blocks transferred between ridge flanks by discontinuous jumps of the propagating ridge tip. In all cases crustal transfer occurs within the NTD valley. Aside from ridge‐axis offset, the evolution of NTDs appears to be controlled by three factors: (1) gross volume and distribution of magma supplied to ridge segments as controlled by 3‐D heterogeneities in mantle fertility and/or dynamic upwelling; this controls fundamental ridge segmentation. (2) The lithospheric plumbing system through which magma is delivered to the crust. (3) The consequent focusing of tectonic extension in magma‐poor parts of spreading segments, typically at segment ends, which can drive propagation. We also observe long‐wavelength (5‐10 Myr) RMBA asymmetry between the conjugate ridge flanks, and we attribute this to asymmetric distribution of density anomalies in the upper mantle.
The Hydrometeorology Testbed–West Legacy Observing Network: Supporting Research to Applications for Atmospheric Rivers and Beyond

An observing network has been established along the United States west coast that provides up to 20 years of observations to support early warning, preparedness and studies of atmospheric rivers (ARs). The Hydrometeorology Testbed–West Legacy Observing Network, a suite of upper air and surface observing instruments, is now an official National Oceanic and Atmospheric Administration (NOAA) observing system with real-time data access provided via publicly available websites. This regional network of wind profiling radars and co-located instruments also provides observations of boundary layer processes such as complex-terrain flows that are not well depicted in the current operational rawindsonde and radar networks, satellites, or in high-resolution models. Furthermore, wind profiling radars have been deployed ephemerally for projects or campaigns in other areas, some with long records of observations. Current research uses of the observing system data are described as well as experimental products and services being transitioned from research to operations and applications. We then explore other ways in which this network and data library provide valuable resources for the community beyond ARs, including evaluation of high-resolution numerical weather prediction models and diagnosis of systematic model errors. Other applications include studies of gap flows and other terrain-influenced processes, snow level, air quality, winds for renewable energy and the predictability of cloudiness for solar energy industry.
The role of Pacific subtropical high belts in the ENSO cycle

Abstract This article conducted statistical analyses on the formation of El Niño and Southern Oscillation (ENSO) from several angles by using conventional data. We found that both El Niño and La Niña are closely associated with the preliminary activity of the Pacific subtropical high (PSH) belts on both sides of the equator if bringing an assumption of the influence of annual cycle on ENSO cycle into our calculations. The PSH belts, especially in their eastern sides, tended to have been continuous weakening for months before El Niño maturing. Oppositely, the continuous enhancing of the PSH belts might be regarded as a prelude of a La Niña. This signal the PSH belts send to omen ENSO’s coming appeared about two months earlier than the one from the elements in tropical regions. We found that the strengthening or weakening of the PSH belts could act as a more original force for driving the ENSO cycle than the elements in tropics through controlling the variation of trade winds. Since the southern PSH belt appeared more powerful than the northern one in the situation, the phase lock of the ENSO cycle might be explained by this clue. Because the southern PSH belt that approaches the nearest area of the equator every June–August in a calendar year can exert a more powerful impact on equatorial elements, SST in Eastern Equatorial Pacific will be significantly affected 3–4 months later, i.e. the general ENSO mature phase happening around the end of a calendar year. We proposed a plausible mechanism for the ENSO formation based on the results and conducted a targeted discussion on this new mechanism that could explain the problems the current conceptual ENSO models left.
COMPREHENSIVE DIGITAL DOCUMENTATION AND PRELIMINARY STRUCTURAL ASSESSMENT OF SATUNSAT: A UNIQUE MAYA ARCHITECTURAL LABYRINTH AT OXKINTOK, YUCATAN, MEXICO

Abstract. Located in the Puuc region of Yucatan, Mexico, the Labyrinth of Oxkintok, also known as Satunsat, is one of the most enigmatic ancient structures in the northern Maya lowlands. Inside this otherwise unremarkable terraced building platform is a series of interconnected vaulted passageways and horizontal ducts that spans three levels. In 2016, we conducted a comprehensive digital documentation of the exterior and interior surfaces and spaces of Satunsat via terrestrial laser scanning (TLS) and structure-from-motion (SfM) photogrammetry. The result is a fused, geometrically accurate, full coverage model with exceptional color and texture fidelity. These data enabled a preliminary structural health assessment and evaluation of the varied masonry techniques employed in the construction of Satunsat and can inform future studies related to the structure’s function and meaning.