bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Neutronic Analysis for 250 MWth Molten Salt Reactor using Monte Carlo OpenMC Code with Different Nuclear Data Libraries of JENDL 5.0, ENDF/B-VII.1, ENDF/B-VIII.0, and JEFF 3.3
Authors: Variastuti M. , Irwanto D. 
Published: October 2024

Abstract
Nuclear data libraries playian important role in the accuracy of neutronic aspect calculations, which determine various factors in a nuclear reactor design. Likewise, deterministic or Monte Carlo methods significantly affect the calculation results. Thus, the combination of nuclear data library and calculation methods needs to be studied carefully. This research will conduct neutronic analysis for the Molten Salt Reactor (MSR) design, one of the Generation IV reactor types with advanced features for future energy resources, using the Monte Carlo-based program OpenMC and different nuclear data libraries. MSR will be designed for a 250 MWth power capacity, operable for five years. The fuel used will be LiF-BeF2 as a coolant and ThF4-UF4 as the fuel. The compositions for each fuel will be optimized to achieve critical conditions during five years of operation. This research aims to evaluate the use of differentinuclear data libraries on reactor criticality conditions, using the nuclear data libraries ENDF/VIII-B, ENDF/VII.0, JEFF 3.3, and JENDL 5.0. To perform the calculation and analysis, MSR chain depletion modification has to be done for different nuclear data libraries. Then, evaluation will be conducted on effective multiplicationifactor (k-eff), neutron flux spectrum, and cross-section. The results of this research show that the use of JENDL 5.0 provides more optimal critical conditions. This is due to the completeness of JENDL 5.0 nuclear data covering 795 nuclide data and higher fission cross-section values. While ENDF/VIII-B has 557 nuclide data evaluations compared to ENDF/VII.0’s 423 nuclide data, more stable k-eff values are shown for the use of ENDF nuclear data libraries. This research is expected to significantly contribute to meeting Indonesia’s energy needs by providing efficient solutions in MSR design in neutronic aspects using the most accurate nuclear data library.
Quasinormal Modes and Stability Analysis of Rotating Hairy Black Holes in Asymptotically Flat Spacetime
Authors: Akbar A. A. , Subagyo B. A. 
Published: October 2024

Abstract
Kerr black holes, characterized solely by their mass and angular momentum, are considered the predominant type in the universe. Recent studies, however, suggest that black holes may possess additional parameters, known as “hair”. This paper investigates the quasinormal modes (QNMs) of rotating hairy black holes in asymptotically flat spacetimes using the continued fraction method to analyze their stability. Our results demonstrate that the introduction of hair parameters modifies the QNM frequencies, indicating a nuanced stability profile that reduces to the classical Kerr solution under specific conditions. These findings provide new insights into the dynamic properties of hairy black holes and their potential astrophysical implications.
Design of a Thermally Resistant and Safe Door for a Medical Waste Pyrolysis Incinerator in a Green Environment
Authors: Jumhur Aam Amaningsih , Sirojuddin  , Garendi Yermia Bima , Chandra Prima 
Published: October 2024

Abstract
The door of a medical waste pyrolysis incinerator plays a critical role in ensuring safe and efficient operation, as it must withstand extreme conditions, including combustion temperatures ranging from 1000 °C to 1200 °C and internal pressure. This study focuses on designing a door that is not only robust and airtight but also highly resistant to these high temperatures, ensuring both operational safety and environmental protection. The design process began with a combustion chamber capacity of 0.5 m3, with the incinerator body measuring 900 mm x 900 mm x 1200 mm and the door measuring 650 mm x 650 mm. The door was fabricated using steel with a yield strength of 245 MPa, equipped with locking bolts, and sealed with high-temperature-resistant asbestos to prevent leaks. The design was initially developed using 2D AutoCAD and 3D SolidWorks software. Analytical calculations were validated through SolidWorks simulations, revealing that the stress at the critical point was 58.185 MPa, providing a safety factor of 4.2 times above the yield stress. This robust design not only enhances the durability of the incinerator door but also contributes to the overall safety and effectiveness of medical waste management, supporting broader environmental safety goals.
Evaluation of the Position and Area of Window Openings on Visual Comfort in Classrooms at Budi Luhur University
Authors: Kurniasih Sri , Laksana Eka Purwa , Anggraeni Dyah S 
Published: October 2024

Abstract
Window openings in classrooms at Budi Luhur University use glass coated with ray ben stickers to reduce excess heat entering the classroom with different levels of darkness. This can cause the distribution of light in the classroom to be uneven and the light intensity requirements not to meet standards. This research is essential to determine the most efficient and effective position and area of classroom window openings, as well as to propose a window opening design that meets visual comfort standards. The research method used in this research is a quantitative research method with an experimental approach. The Quantitative Method is measuring the intensity of natural lighting in window openings and calculating the area of window openings in classrooms in units 3, 4, 5, 6 of Budi Luhur University, as well as processing questionnaire data about space perception. The results of this research are that the best position and type of window openings are grouped windows with ¾ openings, the lighting intensity is closest to SNI Lighting, namely class 4.3.1, which is 134 lux when the lights are off and 168 lux when the lights are on. The best perception of visual comfort felt by respondents was in classroom 4.3.1, namely 94% of respondents stated that they were visually comfortable when the lights were off, and 93% of respondents stated that they were visually comfortable when the lights were turned on.
Waste to Energy; Conversion of Plastic Waste into Liquid Fuel Equivalent to Diesel and Gasoline Using the Pyrolysis Method
Authors: Tambunan Bisrul Hapis , Ambarita Himsar , Sitorus Tulus Burhanuddin , Sebayang Abdi Hanra , Abdullah Ilmi 
Published: October 2024

Abstract
The aim of this research is to produce oil equivalent to diesel and gasoline from plastic waste using the pyrolysis method, examining its physico-chemical properties and comparing it with conventional diesel and gasoline. The production of diesel oil and gasoline from plastic waste is a topic that has received increasing attention in recent years, due to increasing awareness of the environmental problems caused by plastic waste and the need for alternative energy sources. Methods for converting plastic waste into liquid fuel, separating diesel and gasoline equivalents and examining their physico-chemical properties are the main focus of this research. Pyrolysis is the process chosen because the technology is simpler than other methods, such as gasification for example. A total of 6000 grams of plastic chips were pyrolyzed in an LPG-fueled reactor. Pyrolysis was carried out at temperatures of 200, 250, 300, 350, 400 °C, then the yield of oil produced at each temperature was weighed. It was found that the optimum temperature for pyrolysis was 300 because the increase in yield afterwards was very small. Next, 2000 grams of pyrolysis oil was distilled by gradually increasing the temperature from 100 to 300. The resulting 1520 grams or 79.17% gasoline equivalent fraction, 320 grams or 16.67% diesel fraction, the remaining 80 grams or 4.17% residual oil. The results of the physico-chemical properties examination showed that the diesel and gasoline fractions were similar to conventional diesel and gasoline.
Development of Multiple Representation Models in Physics Mechanics Learning Using a Self-Regulated Learning Approach
Authors: Napis  , Yufiarti  , Wirasti M K 
Published: October 2024

Abstract
The challenge of learning mechanical physics is to help students with different characteristics learn to solve problems. Backgrounds education, initial abilities, understanding concepts, and self-regulated learning which can have an impact on representational abilities in solving physics problems. Model development needs to be carried out in an effort to facilitate students in learning to solve physics problems through a multiple representation model approach. Development uses the Dick & Carey model with descriptive analysis with pre and post-test design. The research was conducted at the Mathematics Education Departement, Mathematics and Science Faculty of Universitas Indraprasta PGRI, with a sample of 27 students taking physics mechanics course. Development has produced the VIFOCA learning model which consists of Visualization, Formulation, and Calculation. Formative evaluation involving instructional design experts, material and language experts obtained an average score of 4.75, while the formative evaluation of students showed an average score of 4.35, with a mean combined score of 4.55. The result of the evaluation formative show that the VIFOCA model is feasible for use in physics learning mechanics. The ability of physics problem solving is known based on the pre-test results of 61.33, while the post-test average is 68.74, with an increase of 12.08%. The results of this research indicate that the VIFOCA learning model can help facilitate learning and improve physics mechanics problem solving abilities.
Knowledge-Based Flipped Classroom Model to Improve Physics Learning Outcomes
Authors: Haris  , Wibawa Basuki , Mahdiyah  
Published: October 2024

Abstract
The goal of studying physics is to produce individuals who can use their knowledge and comprehension to tackle complicated challenges in daily life. This is partly influenced by the absence of practical work in the laboratory. Therefore, a learning model is needed that can overcome this problem. This journal presents a model for implementing a Knowledge-Based Flipped Classroom approach in the context of physics education. Traditional classroom settings often rely on passive consumption of information, limiting student engagement and depth of understanding. In contrast, the flipped classroom model emphasizes active learning, where students engage with the course material before class begins, allowing in-class time for deeper exploration, discussion, and application of concepts. This research uses a mixed-methods research methodology, to evaluate the effectiveness of the Knowledge-Based Flipped Classroom model in physics teaching. This paper proposes a structured framework for designing flipped physics classrooms, integrating multimedia resources, interactive activities, and collaborative learning experiences. Using this strategy, instructors can improve student learning outcomes by developing critical thinking, problem-solving abilities, and conceptual knowledge. The adoption of the Knowledge Based Flipped Classroom paradigm has been proven to improve learning outcomes in Sensor Technology courses, according to the study’s findings. It is advised that this learning approach be applied in Sensor Technology courses as an alternative to traditional instruction.
Implementation of Inquiry Learning Models on Renewable Energy Materials to Improve Students’ Communication Skills
Authors: Serevina V , Maulana D , Putri A D C , Nofridanti  
Published: October 2024

Abstract
This study aims to improve students’ communication skills on renewable energy material through the application of the inquiry learning model at class XI public high school 109 Jakarta. The benefit of this research is as an innovation in learning physics through the inquiry learning model to improve students’ communication skills. This research methode used classroom action research which took place in two cycles with four stages in each cycle, namely planning, action, observation, and reflection. The subjects of this study were class XI-3 students at public high school 109 Jakarta for the academic year 2022/2023 with a total of 36 students. At the time of applying the inquiry learning model cycle I: 33 (91.67%) students were able to communicate, and 3 (8.33%) students were less able to communicate with an average grade of 88.0. In cycle II: 36 (100%) students able to communicate in front of the class with an average grade of 91.2. The conclusion from this study is the implementation of the inquiry learning model can improve student’s communication skills on renewable energy material with N-gain score 0.37, categorized as Average.
Implementation of Problem Based Learning (PBL) Model on Renewable Energy Materials to Improve Students’ Critical Thinking Skills
Authors: Serevina V , Maulana D , Triana H , Nainggolan R , Nofridanti  
Published: October 2024

Abstract
This study aims to improve students’ critical thinking skills on renewable energy related material in class XI through the application of problem-based learning model. This study is a classroom action research consisting of two cycles with four stages of each cycle: planning, implementing, observing, and reflecting, conducted in the odd semester of the 2022/2023 school year. The benefits of this research are to improve the learning quality in the classroom and to train students’ critical thinking skills. The subjects in this study were 36 students of class XI-2 public high-school 109 Jakarta. Based on the results of tests, interviews, and observations, when applying the Problem Based Learning model in cycle I: 27 students (75%) were able to think critically and 9 students (25%) were less able to think critically with a class average score of final test 76.41. In cycle II: 34 students (94%) were able to think critically and 2 students (6%) were less able to think critically with a class average score on the final test of 81.82. The conclusion of this study showed that applying a problem-based learning model to renewable energy materials can improve students’ critical thinking skills.
Determining The Lens Aberations on Positive Lenses Through Science Process Skill
Authors: Fitri U R , Nurhasanah G , Budiawan M A , Ziveria M , Muhara I 
Published: October 2024

Abstract
This research aims to determine aberrations or image distortions in a positive lens using an optics experiment kit for image distortions. The experimental tool consists of a diaphragm, a positive lens, a light source, lens path, an image capture screen, and a flint glass used to reduce lens distortions. The main tool is made of acrylic, which is durable and easy to use. The lens used is a strong positive lens (+100). The diaphragms used vary, including a slit diaphragm with five slits and a four-ring diaphragm. These diaphragms are used to produce image shapes and observe the distortions that occur. The work process refers to the skills of scientific processes such as observation, classification, measurement, prediction, communication, and conclusion, which are implemented in the work instructions for creating aberrations or image distortions by placing the positive lens parallel to the light source and the image capture screen. Then, the distortions that occur are observed, and a flint glass is placed in front of the light source to reduce the distortions that are formed. By observing the resulting image, it can be seen that the distortions that occur on the positive lens and how the flint glass works to reduce these aberrations. This is in line with the theory that aberrations on a positive lens occur due to imperfect light bias, either because of the different refractive index biases from different media in the lens, or because of the lens shape not being ideal. Flint glass is one of the methods used to reduce these aberrations.
The Effectiveness of the Dilemma-STEAM Learning Model Based on Motion Graphic Videos in the Subject of Parabolic Motion
Authors: Nasbey H , Apriliani N P , Kurniawan A F , Samsudin A , Fadlan A 
Published: October 2024

Abstract
This study aims to develop and evaluate the feasibility and effectiveness of the Dilemma-STEAM learning model using motion graphic videos in teaching Parabolic Motion. The developed motion graphic videos incorporate five Dilemma-STEAM learning syntaxes: Reflection, Exploration, Elaboration, Integration, and Transformation, which address the topic of Parabolic Motion. The development model utilized in this Research and Development (R&D) method follows the 4D model (Define, Design, Develop, and Disseminate) with the following stages: 1. Needs analysis, 2. Product design, 3. Product development, 4. Feasibility testing and product trials. Based on needs analysis conducted through field observations, it was found that students require learning media in the form of motion graphics for the subject of Parabolic Motion using the Dilemma-STEAM learning model. Feasibility tests by subject matter experts, media experts, and learning experts were conducted using feasibility questionnaires, yielding an average feasibility percentage of 92% for subject matter experts, 89% for media experts, and 78% for learning experts. Additionally, readability tests and trials of the Dilemma-STEAM learning model were conducted with eleventh-grade students, with average effectiveness percentages of 78% and 75%, respectively. Based on the obtained average percentages, it is concluded that the Dilemma-STEAM learning model based on motion graphic videos is feasible and effective as a learning medium for eleventh-grade Physics.
CH4 and CO emission estimates for megacities: deriving enhancement ratios of CO2, CH4, and CO from GOSAT-2 observations
Authors: Ohyama Hirofumi , Yoshida Yukio , Matsunaga Tsuneo 
Published: October 2024

Abstract
Enhancement ratios among trace gases co-emitted by combustion of fossil fuels vary with emission sources and their combustion efficiency. We used column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO) from the Greenhouse gases Observing SATellite-2 (GOSAT-2), a unique satellite that observes them simultaneously with the same field of view, to derive the enhancement ratios (ΔXCO/ΔXCO2, ΔXCO/ΔXCH4, and ΔXCH4/ΔXCO2) for the 40 most populous cities in the world. These enhancement ratios were used to evaluate the Emissions Database for Global Atmospheric Research (EDGAR). For cities where the difference in the 2015 EDGAR CO emissions between the latest versions (v6.1 and v5.0) was 30% or less, the GOSAT-2 ΔXCO/ΔXCO2 ratios and EDGAR (v6.1/v7.0) CO/CO2 emission ratios were in good agreement (correlation coefficient of 0.65). For ∼70% of the cities where the difference of CO emissions exceeded 30%, the EDGAR CO/CO2 emission ratios using v6.1 CO emissions were in better agreement with the GOSAT-2 ΔXCO/ΔXCO2 ratios than those using v5.0 CO emissions, indicating that v6.1 CO emissions were improved over v5.0 emissions. However, for the remaining cities, the version upgrade may have reduced the CO emissions too much. The CH4 and CO emissions for each city were then estimated from the ΔXCH4/ΔXCO2 and ΔXCO/ΔXCO2 ratios, respectively, by reference to the CO2 emissions from the Open-data Inventory for Anthropogenic CO2 (ODIAC) or EDGAR. Compared to our estimates using the ODIAC (EDGAR) CO2 emissions, the EDGAR v7.0 CH4 and v6.1 CO emissions were underestimated for 74% (57%) and 76% (53%), respectively, of all cities where results were available. For several cities where emissions were estimated using in situ observations and ground-based remote sensing observations, our results were in reasonable agreement with these results. The implication is that satellite-derived enhancement ratios can provide informative constraints on anthropogenic emissions in megacities.
Resistances and Horizons
Authors: Martínez Ariadna Franco , García Esmeralda Padilla , Morato Elisa Romero , Juárez Mariana Torres , Aguirre Laura Villeda , Tracey Caroline 
Published: October 2024

Abstract
In this chapter, members of EPIICO collective, through collaborative writing, describe the path they have taken over the course of eight years of practicing, searching, holding encounters, and creating together around the practice of Contact Improvisation in Mexico City. The approach is built from embedded experiences, not from academic knowledge. The current members of the collective describe the struggles within the practice: their economic context, patriarchal attitudes in the dance, extractive practices in festivals organized in Mexico, and social changes brought by COVID-19. So the environment in which the dance happens is part of their dance, too; they dance with it and even despite it. Over time, EPIICO collective has enriched their CI practice with ideas and philosophies from communitarian-territorial feminism and Zapatismo, as they continue to develop a politics of their own.
Talking Like the State
Authors: Aiyar Yamini 
Published: October 2024

Abstract
This chapter offers a thick descriptive account, via the voices of the frontline state, of the internal dynamics of how the frontline state functions. It focuses particularly on how the state talks to itself—commands, controls, orders—through its internal hierarchies, circulars as it goes about implementing its tasks. By training its ear to the voices of officers tasked with implementation, this chapter brings to the fore the myriad ways in which legalistic norms that dominate organizational structures and management practices, shape how frontline workers (particularly district and block education officials) see themselves and interpret their professional purpose. This chapter identifies two key characteristics of the frontline state—the post office paradox, fuelled by a sense of powerlessness and the hierarchical control exercised through paper, the circulars that dominate modes of communication within governmental hierarchies. Together these are the modes through which the state talks to itself and inturn, see’s itself, defines it organizational mystique and sets limits on its internal understandings of performance.
The Making and Shaping of the Government Schoolteacher
Authors: Aiyar Yamini 
Published: October 2024

Abstract
This chapter trains its gaze on the teacher. It draws on the research teams observations in classrooms, training centers, surveys and formal and informal interactions with government school teachers in Delhi to understand how teachers shape their professional identity and the ways in which this contributes to teaching-learning dynamics in the classroom. This chapter puts forward the argument that the Indian education system is driven by a deep societal consensus that judges the classroom through the prism of syllabus completion and achievements in exams. This has encouraged a rote learning, chalk and talk pedagogy that is the norm. Efforts to reform the classroom run up against this consensus. Added to this is the burden of administrative tasks that dominate the relationship between teachers and the education burecracy. Teachers’ cast themselves as victims of a system which doesn’t value their professional role as ‘teachers’. It is this self image of victimisation that prevents any reflexive engagement amongst teachers with questions of classroom dynamics. Teachers’ see themselves as being held accountable primarily for administrative tasks, its consequences on teacher motivation are significant. This is the challenge that school education reforms in India confront.