bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mercator: uncovering faithful hyperbolic embeddings of complex networks
Authors: García-Pérez Guillermo , Allard Antoine , Serrano M Ángeles , Boguñá Marián 
Published: November 2019

Abstract
We introduce Mercator, a reliable embedding method to map real complex networks into their hyperbolic latent geometry. The method assumes that the structure of networks is well described by the popularity × similarity

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static geometric network model, which can accommodate arbitrary degree distributions and reproduces many pivotal properties of real networks, including self-similarity patterns. The algorithm mixes machine learning and maximum likelihood (ML) approaches to infer the coordinates of the nodes in the underlying hyperbolic disk with the best matching between the observed network topology and the geometric model. In its fast mode, Mercator uses a model-adjusted machine learning technique performing dimensional reduction to produce a fast and accurate map, whose quality already outperforms other embedding algorithms in the literature. In the refined Mercator mode, the fast mode embedding result is taken as an initial condition in a ML estimation, which significantly improves the quality of the final embedding. Apart from its accuracy as an embedding tool, Mercator has the clear advantage of systematically inferring not only node orderings, or angular positions, but also the hidden degrees and global model parameters, and has the ability to embed networks with arbitrary degree distributions. Overall, our results suggest that mixing machine learning and ML techniques in a model-dependent framework can boost the meaningful mapping of complex networks.
Heart-Centered Management Training Program for Public Secondary School Principals in the Island of Panay, Philippines
Authors: Jimlan Ju-im T. 
Published: November 2019

Abstract
This study investigated the relationship among the levels of emotional intelligence, conflict management styles, and transformational leadership skills of 201 public secondary school principals in the Island of Panay. The primary purpose of the study was to develop a "Heart-Centered Management Training Program" to improve the performance of school principals through enhanced use of emotional intelligence, conflict management styles, and transformational leadership skills. It determined the significant differences and relationship among these variables when the respondents were classified regarding their educational attainment, geographical location, Result – Based Performance Management System (RPMS) rating, professionalism, religion, and sexual orientation. Significant differences were observed in their level of emotional intelligence, conflict management styles, and transformational leadership skills when they were grouped according to RPMS rating, professionalism, religion, and sexual orientation, respectively. There were significant relationships between emotional intelligence and conflict management style; emotional intelligence and transformational leadership skills; and conflict management styles and transformational leadership skills. These findings were the bases of the "Heart-Centered Management Training Program."
Choose your Patty: The Sensory Characterization and Consumer Acceptance of Burger Patties with Oyster Mushroom (Pleurotus ostreatus) Enrichment
Authors: Tabaldo-Tucar Merlinda , Solar Mr. Nick John B. 
Published: November 2019

Abstract
This experimental study aimed to determine the acceptable proportion of burger patty enriched with 25 g(Proportion A), 50 g (Proportion B) and 75 g (Proportion C) of oyster mushroom in terms of appearance, aroma, taste and texture. The level of acceptability as to appearance, aroma, taste and texture were also evaluated. The sensory characteristics were evaluated by 30 selected evaluators using a sensory evaluation sheet based in Five-point hedonic scale.
Frequency count and percentage were used as statistical tools to determine the sensory characteristics of burger patty enriched with oyster mushroom. While, arithmetic mean was used to determine the level of acceptability of burger patty.
Findings revealed that Proportion A has a very much pleasant oyster mushroom taste. On the other hand, Proportion B had a very much pleasant oyster mushroom smell and very much compact and fine texture. Lastly, Proportion C had a golden brown appearance and very much pleasant oyster mushroom smell.
Science Learning Integrated Ethnoscience to Increase Scientific Literacy and Scientific Character
Authors: Atmojo Setyo Eko , Kurniawati Wahyu , Muhtarom Taufik 
Published: November 2019

Abstract
This study aims to improve the scientific literacy and scientific character of students of prospective primary school teachers through science learning integrated ethnoscience science. This research is an experimental study for students in class A1 and A2 of the PGSD UPY study program. Class A1 is an experimental class that implements science learning integrated ethnoscience and class A2 as a control that implements conventional learning. This type of research data consists of scientific literacy data and student scientific characters. Scientific literacy data was collected using tests and analyzed using N-gain, while scientific character data were collected using observation sheets and analyzed by descriptive percentages. The results of the study show that science learning integrated ethnoscience can improve students’ scientific literacy with a gain score of 0.81 which is included in the high category. The average score of students’ scientific character in science learning integrated ethnoscience is in the high category, where the average score of scientific characters in each aspect at each meeting is > 70%.
LNU Pre-service Secondary Science Teachers’ Scientific Literacy and Science Teaching Self-Efficacy
Authors: Flores Jefferson E. 
Published: November 2019

Abstract
The main purpose of this study is to determine Leyte Normal University’s pre-service secondary science teacher’s scientific literacy and science teaching self-efficacy. Further, the relationship between scientific literacy and science teaching self-efficacy is explored. Participants were 50 fourth-year students enrolled in the BSEd Biological Science program. The survey method was used in this study. The participants’ science teaching self-efficacy was determined by Science Teaching Efficacy Belief Instrument (STEBI-B) developed by Enochs and Riggs (1990), while scientific literacy was measured by Test of Basic Scientific Literacy (TBSL). The results showed that the pre-service teachers’ science teaching self-efficacy is at the medium level. Further, participants had satisfactory scientific literacy levels. The Pearson product–moment correlation revealed a moderately positive relationship between scientific literacy and science teaching self-efficacy.
Constructively Aligned Teaching Sequence (CATS): A Tool For Teaching Organismal Biology In STEM Senior High School Education
Authors: Magtolis Joyce M. , Batomalaque Antonio E. 
Published: November 2019

Abstract
This paper presents the developed and evaluated innovation, the Constructively Aligned Teaching Sequence (CATS). This teaching sequence is a K to 12 compliant that may be used in teaching the topic on human organ systems to Senior High School students. The CATS’ prototype was constructed and tested in authentic school context. The development was done using the design principles embodied in the model of educational reconstruction proposed by Duit et.al. (2005). The evaluation was conducted by looking into the students learning outcomes and teachers’ evaluation. The research instruments included students’ pre-assessment/post-assessment drawing, pretest/posttest, questionnaire, and recorded unstructured interviews. Quantitative and qualitative data corroborates that use of CATS contributed to the attainment of the students’ learning outcomes. In conclusion, future prototypes may be developed to address more strongly students’ alternative conceptions through the applied design principles or add new design principles. Findings showed that CATS may be redesigned to further strengthen the correct conceptions, enhance limited conceptions and remediate conceptions in conflict with the accepted biological concepts. Furthermore, this study provides an avenue for further research on its improvement such as construction, usage, handling, and storage of the student outputs.
Early Childhood Character Building Troughtechnological Education
Authors: Saptatiningsih Rosalia Indriyati , Permana Septian Aji 
Published: November 2019

Abstract
The purpose of this research was to identify the pattern of character education in St. JosephKindergarten and it was to analyze the application of character education developed by St. JosephKindergarten for early childhood in the family. This research used a qualitative approach. The informants in this research were teachers, parents, and students of St. JosephKindergarten. Data collection techniques carried out by participant observation and in-depth interview. The collected data analyzed using domain analysis, taxonomy, compound, and cultural themes. The result showed that early childhood character education could be formed through school and family collaboration conducted in kindergarten. It can be known through St. Joseph Kindergarten education program that implements the curriculum with technological developments and it can be seen thatchildren inseparable from technology. Character values developed by St. The implementation values was done through routine habituation that applied as long as the children in St. Joseph Kindergarten unit by introducing technology education so that children did not abusing the technology. Fun learning activities management by utilizing student technology can be more creative and participatory. Character building application through Play Store learning can educate students to be wiser in using Gadget applications in modern era.
Mobile Web-Based Information System for thesis’s Administration in University PGRI Yogyakarta
Authors: Tentua Meilany Nonsi , Fairuzabadi M. , Sumarmi Saptaningsih 
Published: November 2019

Abstract
This research aims to develop an Information System thesis’s administration that efficient and effective supported by computerized administration system or on-line system. The subject of this research is Universitas PGRI Yogyakarta which have 13 study programs. Mobile web can use in the thesis’s administration system. It can facilitate the management of required letters and essay recap. This system can also browse the titles of the thesis that has been created so as to reduce duplicate titles of the thesis.
This study concludes that the use of thesis administrative systems can facilitate and accelerate the management of the required letters. It also can sorting titles of the essay that has been taken so as to avoid duplication. Based on black box testing, it is found that the whole function has been run well, the functions tested include: (1) User Verification (2) Data Management (3) Information and reporting. 3) Based on the alpha test it can be seen that the system developed in usability is considered good, the assessment aspect includes: ease of use, ease of navigation, access speed, completeness of features and attractive appearance.
Design of Student Attendance System Using Internet of Things (IoT) Technology
Authors: Santoso Banu , Sari Marti Widya 
Published: November 2019

AbstractLecture attendance data at universities is a reference in showing the credibility of each student used by lecturers as data for student grades as well as an evaluation material for the success of teaching and learning activities in lectures, but there are several examples of cases related to student attendance data currently prevalent in the world of education or lectures is the phenomenon of "Leave Absence" or better known as TA. In addition, other problems also arise from lecturers and administrative staff, namely difficulties in monitoring student attendance and efforts to validate attendance data because of the large amount of student data. Therefore in this study a system was proposed to reduce the level of fraud in filling the attendance list and effectiveness of student data processing using a system of applying the concept of the Internet of Things (IoT) with the fingerprint presence method. Existing system modeling results are expected to be able to support the service of processing academic data automatically and produce accurate and accurate statistical data and be able to reduce data manipulation factors from irresponsible parties.
Generating Fuzzy Interval Data and Its Application to Find The Relation Between Math Anxiety with Self Efficacy Using Correlations Analysis
Authors: Susanto H P , Sutarti T , Hafidah A S 
Published: November 2019

Abstract
In this article, adding a dimension that has not yet been explored in published literature, we investigate the process of generating fuzzy interval data using a crisp data, applying the process to the students’ anxiety and self-efficacy crisp data in learning mathematics, and determining the two variable correlations using Cheng and Yang fuzzy correlations. We take Fuzzy correlation developed by Cheng and Yang because of being easy to understand, and its development adopts the formula of Pearson correlation. The data used are fuzzy interval data and trapezoid fuzzy. In this case, the crisp data taken using traditional questionnaires cannot be employed. The findings of this research reveal that (1) the crisp data fuzzification process to be interval fuzzy provides a new alternative in obtaining fuzzy interval data; (2) fuzzy correlations using fuzzification results provide the conception that the anxiety has a negative correlation at a moderate effect level. The correlation coefficient shows the same conclusions with Pearson correlation and fuzzy correlation using original fuzzy data obtained from data collection.
A Brief Review on Particle Acceleration in Multi-island Magnetic Reconnection
Authors: Che H. , Zank G. P. 
Published: November 2019

Abstract
The basic physics and recent progresses in theoretical and particle-in-cell (PIC) simulation studies of particle acceleration in multi-island magnetic reconnection are briefly reviewed. Particle acceleration in multi-island magnetic reconnection is considered a plausible mechanism for the acceleration of energetic particles in solar flares and the solar wind. Theoretical studies have demonstrated that such a mechanism can produce the observed power- law energy distribution of energetic particles if the particle motion is sufficiently randomized in the reconnection event. However, PIC simulations seem to suggest that the first-order Fermi acceleration mechanism is unable to produce a power-law particle energy distribution function in mildly relativistic multi-island magnetic reconnections. On the other hand, while simulations of highly relativistic reconnections appear to be able to produce a power-law energy spectra, the spectral indices obtained are generally harder than the soft power-law spectra with indices ~ − 5 commonly observed in the solar wind and solar flare events. In addition, the plasma heating due to kinetic instabilities in 3D magnetic reconnection may “thermalize” the power-law particles, making it even more difficult for multi-island reconnections to generate a power-law spectrum. We discuss the possible reasons that may lead to these problems.
Time-Dependent Perpendicular Transport of Energetic Particles
Authors: Shalchi A. 
Published: November 2019

AbstractThe motion of energetic particles in magnetic turbulence across a mean magnetic field can be explored analytically. The approach discussed in this paper allows for a full time- dependent description of the transport, including compound sub-diffusion. For the first time it is shown systematically that as soon as there is transverse structure of the turbulence, diffusion is restored even if no Coulomb collisions are invoked. Compared to other non-linear theories the new approach has the advantage that a diffusion approximation is no longer part of that theory. Criteria for sub-diffusion and normal Markovian diffusion are provided as well. A comparison with test-particle simulations is also discussed.
Spreading protons in the heliosphere: a note on cross-field diffusion effects
Authors: Wijsen N. , Aran A. , Pomoell J. , Poedts S. 
Published: November 2019

Abstract
We study how a high-speed solar wind stream embedded in a slow solar wind affects the transport and energy changes of solar energetic protons in interplanetary space, assuming different levels of cross-field diffusion. This is done using a particle transport model that computes directional particle intensities and first order parallel anisotropies in a background solar wind generated by the magnetohydrodynamic model EUHFORIA. In particular, we consider a mono-energetic 4 MeV proton injection over an extended region located at a heliographic radial distance of 0.1 AU. By using different values for the perpendicular proton mean free path, we study how cross-field diffusion may affect the energetic particle spread and intensity profiles near a high-speed solar wind stream and a corotating interaction region (CIR). We find that both a strong cross-field diffusion and a solar wind rarefaction region are capable of dispersing SEPs efficiently, producing overall low particle intensities which can in some cases prevent the SEPs from being detected in-situ, since their intensity may drop below the detected preevent intensity levels. We also discuss how accelerated particle populations form on the reverse and forward shock waves, separated by the stream interface inside the CIR. Under strong levels of cross-field diffusion, particles cross the SI and hence both accelerated particle populations merge together.
Synchrotron spectra of GRB prompt emission and pulsar wind nebulae
Authors: Xu Siyao 
Published: November 2019

Abstract
Particle acceleration is a fundamental process in many high-energy astrophysical environments and determines the spectral features of their synchrotron emission. We have studied the adiabatic stochastic acceleration (ASA) of electrons arising from the basic dynamics of magnetohydrodynamic (MHD) turbulence and found that the ASA acts to efficiently harden the injected electron energy spectrum. The dominance of the ASA at low energies and the dominance of synchrotron cooling at high energies result in a broken power-law shape of both electron energy spectrum and photon synchrotron spectrum. Furthermore, we have applied the ASA to studying the synchrotron spectra of the prompt emission of gamma-ray bursts (GRBs) and pulsar wind nebulae (PWNe). The good agreement between our theories and observations confirms that the stochastic particle acceleration is indispensable in explaining their synchrotron emission.
The automated and unmanned inland vessel
Authors: Verberght E. , van Hassel E. 
Published: November 2019

Abstract
Automation is an ongoing development that has already changed the inland waterway transport sector (IWT) fundamentally. One of the next possible steps is the technology for fully automated operation systems under conditions and with the possibility for human intervention from on-shore. This article develops and explores a fully automated and unmanned inland vessel and questions if a positive business case for the IWT and society is possible. It also identifies the success and failure factors of this innovation. Two analyses were applied regarding barriers that could prevent market uptake (System of innovation approach, SIA), and the social costs and benefits of automation (Social Cost/Benefit Analysis, SCBA). The innovation has the potential to be disruptive in the entire supply chain as all transport modes are discovering their automation potential. The technology is assumed to have a possible impact on vessel safety, trip planning, fuel efficiency and even freight capacity. Also the institutional framework of the European IWT is taken in account regarding crew requirements and safety standards.
On Risk of Digital Twin Implementation in Marine Industry: Learning from Aviation Industry
Authors: Ibrion Michaela , Paltrinieri Nicola , Nejad Amir R. 
Published: November 2019

Abstract
This paper presents some aspects of the risk and challenges associated with digital twin implementation in the marine industry by learning from the aviation industry where the digital twin is more widely employed. The digital twin applications in aviation and marine industries are presented and the main steps of developing a digital twin are discussed. The three main steps of sensors (measurements), model, and data analysis are identified and used in the study. The lessons from two recent accidents in the aviation industry (Boeing 737 MAX crashes in Indonesia and Ethiopia in 2018 and 2019) are studied in details and discussed. It was found that the sensor reliability, model failure and wrong decisions as the output of the data processing are among the risks associated with digital twin implementations. In particular, from the case study accidents, it was found that the digital twin may not be able to represent all the possible scenarios which a system may experience in its life time. The digital twin presents many advantages, however the implementation of the digital twin is associated with risk and high uncertainties, even in the industries like the aviation industry, where the digital twin is well established and at a higher advanced level than in the marine industry.
Optimized use of Energy Charged from Shore in Plug-in Hybrid Marine Vessels
Authors: Mo Olve , Guidi Giuseppe 
Published: November 2019

Abstract
The paper presents a methodology for the design and tuning of real-time power and energy management systems for plug-in marine vessels. Main contributions are: (1) Method to design and tune the energy management strategy that will optimally share the load between on-board, fixed speed, diesel generator units and on-board energy storage, in such way that fuel consumption is minimized for a given expected load probability distribution (2) Method adaption for cases where the crew, for operational or safety reasons, decides to run with non-optimal number of diesel engines. (3) Outline of possible inclusion of adaptive tuning to cope with uncertain or unknown load probability distribution. The presented methodology applies to plug-in vessels where the battery storage cannot cover all energy needed for the planned trip, such that one need to combine the use of stored electrical energy from shore with the direct use of energy produced by on-board diesel generators. The proposed method uses the expected time of operation at each load level as key input for the optimization. Although getting such data upfront can be difficult, it is expected to be easier to get a good estimate of the load probability distribution rather than the exact load profile as function of time that is used by the existing methods.