Reviewerly/exHarmony huggingface dataset:
Online Databases of Geologic Formations of Asia and Africa, with Display onto Plate Reconstructions for Any Time Horizon

Two goals of the Paleogeography Working Group of the Deep-Time Digital Earth (DDE) program of the International Union of Geological Sciences (IUGS) are: (1) to interconnect national databases for all geologic formations, and to compile new online "lexicons" for countries that currently lack these; (2) to display the merged paleogeographic output for any time interval of these distributed databases onto appropriate plate tectonic reconstructions.Therefore, we have worked with regional and time-period experts to compile cloud-based lexicon databases for Asian and for select African regions. The new databases are currently completed for the Precambrian through Phanerozoic of Asia (ca. 4000 geologic formations as of March 2023) and of a part of Africa (Niger, ca. 200 formations). In addition to standard search criteria (age, region, lithology keywords, etc.), the user interfaces include map-based and stratigraphic-column navigation. The returned entries be displayed by-age or in alphabetical order. Many of the formation details include GeoJSON-formatted polygons of its regional extent. These enable plotting of the individual formations filled with their appropriate lithologic facies patterns onto any of three proposed plate reconstruction models with a single click. Or, if a geologic age is specified, a user can query all the linked regional databases to plot the locations of all formations (with lithologic facies patterns) that span that age onto a plate reconstruction model.Our team is currently working with the teams at Macrostrat (Univ. Wisconsin (Madison) and at One-Stratigraphy (DDE, IUGS) and with other geologic surveys to interlink their regional facies-time compilations for other global regions. The goal is to users to access the information on any geologic formation, and to obtain a view of the sediments and volcanics that were accumulating at any time on the ancient Earth.
Gateway-based Interoperability for DLT

&lt;p&gt;Blockchain is a distributed ledger technology (DLT) to manage data in a decentralised way. During the last years, interoperability has become one of the main challenges within blockchain research as blockchains increasingly require integration between each other. Indeed, blockchains work by design in silos of information as interoperability is not a native feature. The main efforts in the field are focused on blockchains, such as Bitcoin and Ethereum. However, interoperability in DLT remains as an almost untouched area of work as they introduce additional requirements focusing on privacy and identity. Although there are some interoperability solutions for DLT, they are either high-level design proposals not providing concrete implementations or focus on interoperability issues between business applications and blockchain platforms. In this paper we propose a gateway-based platform-to-platform interoperability solution for DLT, which comprises a detailed solution design and a reference implementation. The proposal was assessed through the development of a social security case scenario and the evaluation through two interoperability frameworks. A reference implementation was built using two DLT: Hyperledger Fabric and Corda. The experimental results shows that it is possible to achieve technical interoperability between two heterogeneous DLT platforms using a gateway-based interoperability solution, relaxing decentralisation, data privacy, identity and authorisation management properties. &lt;/p&gt;
Biases and power: Understanding of the experiences and perceptions of workplace EDI amongst digital leaders in higher education

The professional experiences and identities of staff working in IT roles in higher education is currently an under researched area leading to a gap in understanding of how these staff experience and contribute to diversity in their institutions. Digital leadership is an emerging area of leadership studies with increasing importance where academic and professional teams work together as allies in addressing structural inequalities embedded in systems of learning, teaching, promotion and support. This article draws upon data gathered through semi-structured interviews with digital leaders in universities in Scotland. Data were analysed using an interpretative feminist framework to surface themes of workplace diversity, equity and inclusion which challenge stereotypes around the professional roles and identities of people who work in digital. The article highlights the importance of insight into the context in which digital leaders are providing expertise and evidence for decision-making at all levels in universities. Recommendations for senior management, academic staff and human resources professionals are offered, as are areas for further research and policy making.
Development of time-gated Raman proximal sensing for an earth observation platform

The Goldeneye project combines remote sensing and positioning technologies with proximal sensing to produce reference calibrated mineralogical maps through data fusion. The project brings together optical satellite sensor data, drone sensor aerial data both optical and electromagnetic as well as spectral ground sensor data. Satellite data can offer spectral signatures of large areas but suffers from limited spatial resolution and blind spots where the higher resolution satellite data is not available. Drone data can offer more variety in spectral wavelengths with higher resolution but there are some drawbacks as well. Namely, NIR vibrational spectroscopy requires background information for successful mineralogical analysis. In addition, the most interesting SWIR range is challenging due to large and very expensive sensors. To cope with these challenges of aerial data, proximal sensing can be applied in locations where satellite imagery is not available, and it can also produce reference information for the calibration of the spaceborne and airborne instruments. The conventionally used analyses for producing mineralogical information from field collected samples are the mineral liberation analysis (MLA) and X-Ray diffraction (XRD) which require extensive sample preparations and are laborious and slow. Goldeneye-project has studied the use of time-gated Raman for easier and more practical production of reference data at the field sites as well as from field collected rock samples. The benefit of Raman is an accurate characteristic spectral fingerprint and an ability to distinguish small mineralogical features as the detection spot is in the range of hundreds of microns. There are continuous wave Raman spectrometers, which are already field deployable. However, conventional Raman suffers from the auto-fluorescence emission triggered by the laser illumination, especially in light-colored rock samples. Time-gated (TG) Raman has the benefit of time-resolved sensing, where the Raman scattering is recorded before the fluorescence signal is over-powering the weaker scattered signal. TG-Raman can thus offer information from a wider variety of geological specimen than the conventional Raman. In Goldeneye-project, TG-Raman spectra were collected with custom sampling solution from mineral samples and drill cores from Erzgebirge exploration site in Germany. The data was analysed together with pXRF reference data to assess the benefit of the data fusion.The paper has been prepared in the frame of the Horizon 2020 co-funded project GOLDENEYE, which has received funds through the Grant Agreement 869398.
The Effect Using Wordwall Game Applications To Improve Student’s Vocabulary In Chumchon Ban Phanokkhao School

This study aims to determine the effectiveness of the wordwall application used by students to increase English vocabulary. This type of research uses quantitative methods with research subjects of class VII, VIII and IX involving 30 students. The data collection method was carried out through pre-test, treatment, and post-test. Analysis of the data presented in this study by comparing the values ​​of the pre-test and post-test (paired sample t test). The results of this study are; (1) there is a significant difference means from pretest and posttest for each class VII (pre = 75.00, post = 92,27), VIII (pre = 78,57, post = 92,14), IX (pre = 76,92, post = 90,00); (2) there is a difference in the average pretest and posttest learning outcomes with a sig value of 0.000 is less than 0.05 (0.000 &lt; 0.05). It concludes that the wordwall application is effective in increasing English vocabulary. In addition, wordwall applications can increase mastery of vocabulary because of the simple steps. So, it might enhance enthusiasm in learning English vocabulary.
Swami Vivekanandas vision and Indian education system

Education plays an important role in the development of nation and life of every person, especially in globalized competitive environment as we know it today. India is a country with varied and rich cultural heritage. Numerous great educationists came with their individual ideas and philosophy of education to place education system in a perfect frame in the 19th century. Among all, Swami Vivekananda (12th January, 1863 - 4th July, 1902) was the most influential and renowned personality, educationist, and reformer of India with his ideas and philosophy of education. His thoughts and teaching ideas still influences our education and all aspects of life. Swami ji believed in the philosophy of Vedanta, which believes that the goal of human life is to achieve
Preface

This book contains the proceedings of the 2022 International Conference on Scientific Computation and Applied Statistics (ICSCAS 2022) was held on November 12, 2022, Hubei Zhongke Institute of Geology and Environment Technology, Wuhan, China, as a virtual conference for the COVID 19. It provides the scholars and researchers with an effective medium for communicating important recent developments in their areas of specialization to colleagues and to scientists in related disciplines. More than 110 participants were able to exchange knowledge and discuss the latest developments at the conference. We had the honor of inviting Bo Yang, Kunming University of Science and Technology, to serve as our Conference Chairmen. 120 individuals and enterprises all over the world attended the conference. Divided into three parts, the conference agenda covered keynote speeches, oral presentations, and online Q&amp;A discussion. Firstly, keynote speakers were each allocated 30-35 minutes to hold their speeches. Then in the oral presentations, the excellent papers selected were presented by their authors one by one 15-20minutes. The book contains 95 peer-reviewed papers, selected from more than 145 submissions and ranging from the theoretical and conceptual to strongly pragmatic and addressing industrial best practice. It covers Computation, Mathematics, Artificial and computational intelligence and Applied Statistics. The book shares practical experiences and enlightening ideas and will be of interest to researchers in and practitioners everywhere. On behalf of the conference ICSCAS 2022 organizing committee, we would like to express our deeply appreciation to all the keynote speakers, oral speakers peer reviewers, and all the participants and supporters. More than anything, we would like to acknowledge the Journal of Physics: Conference Series, for the efforts and help of all the colleagues in publishing this paper volume. We really expect the opportunity for future collaborations.
Students’ Perception on Teaching Strategies for English Speaking at Madrasah Aliyah Negeri 1 Kebumen

Teaching strategies for speaking class of English have developed rapidly through time. In Indonesia contexts where English placed as a foreign language, teachers are challenged to vary their teaching strategies in order to have interesting manageable classes. This study dealt with students’ responses on teachers’ strategies in teaching speaking. The research was conducted at Madrasah Aliyah Negeri 1 Kebumen from May to October 2022. This research belongs to a survey research design. Researcher collected quantitative, numbered data by using questionnaires; and then, statistically analyzed the data to describe trends about responses to questions. The study involved 3 teachers teaching for the speaking class at the school and 113 students joining the class. The research revealed that there were six teachers’ strategies to have been familiarly applied. They were role plays, dialogues, discussions, playing cards, picture describing, and brainstorming. It was also found that in terms of the time allocation, the subject content, and value for the future life, the students responded positively to the teaching strategies used by the teachers. Keywords: Perception, speaking, teaching strategies
EFFECTIVENESS OF HEAT AND TRANSFER E-BOOKBASED ON DYNAMIC MULTIREPRESENTATION TO IMPROVE STUDENTS CRITICAL THINKING SKILLS

The development of E-book teaching materials for heat and displacement based on dynamic multi-representation has been carried out to improve students critical thinking skills. The development was carried out using the ADDIE model with the One Group Pretest-Posttest experimental design method. The problem discussed in this case is how effective the E-book teaching material is heat and displacement based on dynamic multirepresentation to improve students critical thinking skills. The research was conducted in class VII E of SMPN 10 Jember for the 2022/2023 academic year, which consisted of 32 students. Data was collected using pretest and posttest questions. The effectiveness of the E-book is measured through the pretest and posttest given to students and analyzed using the n-gain test. The results showed an increase in pretest and posttest scores and an n-gain of 0.65. Due to the acquisition of 0.3 â‰¤ g &lt; 0.7, it can be concluded that the E-book teaching material based on dynamic multi-representation heat and displacement is effective in improving students critical thinking skills with moderate improvement categories.
Earthquake Disaster Preparedness Among Teachers in The Special School

The level of teachers' disaster preparedness in schools is one thing that influences the impact of disasters on children with disabilities, especially earthquakes, which can occur at any time, including during school hours. Therefore, this study aims to determine the description of earthquake disaster preparedness for special school teachers. This study used a quantitative descriptive method with a total sample of 37 teachers at Cileunyi State SLB, and the total sampling technique used was this study. Preparedness measurement for SLB teachers uses instruments modified according to research needs. Data analysis with frequency distribution and results were grouped into ready and unprepared categories. The results showed that 86.5% of teachers were categorized as 'ready'. The best preparedness parameter is disaster knowledge, while the lowest is disaster warning. From the study results, it can be concluded that most SLB teachers are categorized as ready to face earthquake disasters. However, it is expected that efforts to improve aspects of disaster warning can be carried out, such as providing disaster warning tools, especially for children with disabilities.
SCFNet: A Spatial-Channel Features Network Based on Heterocentric Sample Loss for Visible-Infrared Person Re-identification

Cross-modality person re-identification between visible and infrared images has become a research hotspot in the image retrieval field due to its potential application scenarios. Existing research usually designs loss functions around samples or sample centers, mainly focusing on reducing cross-modality discrepancy and intra-modality variations. However, the sample-based loss function is susceptible to outliers, and the center-based loss function is not compact enough between features. To address the above issues, we propose a novel loss function called Heterocentric Sample Loss. It optimizes both the sample features and the center of the sample features in the batch. In addition, we also propose a network structure combining spatial and channel features and a random channel enhancement method, which improves feature discrimination and robustness to color changes. Finally, we conduct extensive experiments on the SYSU-MM01 and RegDB datasets to demonstrate the superiority of the proposed method.
National map of focus areas for potential critical mineral resources in the United States

First posted February 22, 2023 For additional information, contact: Earth Mapping Resources Initiative (Earth MRI)Mineral Resources ProgramU.S. Geological Survey913 National Center12201 Sunrise Valley DriveReston, VA 20192Email: minerals@usgs.gov The U.S. Geological Survey (USGS) launched the Earth Mapping Resources Initiative (Earth MRI) to modernize the surface and subsurface geologic mapping of the United States, with a focus on identifying areas that may have the potential to contain critical mineral resources. EarthMRI can inform strategies to ensure secure and reliable domestic critical mineral supplies for the United States as mandated by Executive Order 13817 and the Infrastructure and Jobs Act of 2021 (Public Law 117–58, 135 Stat. 529). Earth MRI is a collaborative effort between the USGS and the State geological surveys as represented by the Association of American State Geologists to identify, prioritize, and acquire new geoscience data for geographic areas, or focus areas, across the Nation that have potential to host critical mineral resources. Mapping of focus areas was based on a framework of mineral systems and their associated mineral deposit types that could possibly host critical minerals. Using readily available geologic, geophysical, geochemical, and mineral deposit data, teams of USGS scientists worked with representatives of State geological surveys in a series of workshops to outline focus areas that contain evidence of key features for one or more mineral systems. These areas can be used to guide future efforts to collect new geologic, geophysical, geochemical, and topographic data that focus on critical minerals through Earth MRI.
Efektivitas Workshop Academic Writing Untuk Meningkatkan Academic Self-Efficacy Pada Mahasiswa Semester Akhir

This research was to determine the effectivity of academic literacy writing workshop in improving senior college student’s self efficacy. The method used in the research was Pre-Experimental Design method. The experimental design used was The One Group Pretest-posttest Design which uses a single group design with pretest and posttest carried out by experimenting with one group, without using a comparison group (Shaughnessy et al, 2007). Analysis of the data used to test the hypothesis of this study is statistical analysis. This data analysis technique uses quantitative analysis with two related sample tests with Paired t test. The results showed that academic writing workshops were less effective in increasing academic self-efficacy with a significance value of 0.135, which is greater than 0.05. However, judging by the results per subject, it was found that there were five subjects who experienced a decrease in academic self-efficacy and there were nine subjects who experienced an increase in academic self-efficacy, although the results were not significant. This shows that the academic literacy writing workshop demonstrates its role in improving academic self-efficacy.
Methods of identifying unauthorized customers in cryptocurrency mining of distribution networks-a review

This paper reviews the methods to identify unauthorized cryptocurrency mining customers in distribution networks.Hence, various methods and models were compared.Also, the research conducted in the field of cryptocurrencies was evaluated in the four categories of energy, pollution, theft, and mining.
ANALYSIS OF FLOOD DISASTER AREAS, JOMBANG REGENCY, EAST JAVA USING ARCGIS REMOTE SENSING

Flood is one of the natural disasters that occur in Indonesia. Each region in Indonesia has a different flood hazard level. Therefore, a study was conducted to map the level of flood hazard in Jombang Regency, East Java. Remote sensing methods are used to map flood-prone areas, ArcMap software is used to map disaster-prone areas and mapping vegetation density. The data required is in the form of flood data index from Inarisk and Landsat 8 imagery data from USGS. From these data, four maps were generated, namely the vegetation density map and the flood hazard map in the Jombang area. From the vegetation density map, it can be seen from the value it determines the level of vegetation density in the area, while the flood hazard map is categorized into three hazard categories, namely low, medium and high. And it was found that the lower the level of vegetation density, the higher the level of flood hazard in the area, and vice versa and it is also known that the Brantas river affects flooding in Jombang. Then seen from the regional geology, the area of North Jombang absorbs air more quickly because it is composed of karst rocks. Judging from the area of the flood hazard level, the Jombang area is more dominant to the moderate hazard level.
ANALYSIS OF FLOOD HAZARDS IN MAGETAN REGENCY USINGDISTANCE SENSING METHOD

Flood is an annual disaster that hits all over Indonesia, and Magetan Regency is one of the affected area . The high regional topography in the western part and the relatively flat topography in the eastern part making it potential for flood to be higher in the eastern part. The DEM (Digital Elevation Model) topography, Landsat maps, and hazard index maps can be identified by remote sensing using regional administration map data, the level of slope slope and vegetation density can be mapped using NDVI method, and the classification of the flood risk level of an area can be done using ArcGIS software. The slope of the slope and the density of vegetation will affect the level of potential flood hazard. There is a low level of potential for flooding on steep slopes because the air will flow and accumulate on the lower plains. Higher vegetation density will provide a good air catchment area. The level of vegetation density is also higher in the western part. Based on the percentage of the affected area, the low flood hazard level reaches 73.3%, so it can be concluded that the flood hazard level in Magetan Regency is low. It is necessary to provide adequate land and channels capable of providing air flow.
THE EFFECT OF PICKING UNCERTAINTY WINDOW INTERVAL ON HYPOCENTER MICRO-EARTHQUAKE (MEQ) LOCATION USING GEIGER METHOD

Identification of the initial phase of the primary (P) waves at each seismic station is often inconsistent and implies the operator’s subjectivity, due to the high noise level. Errors in identifying the initial phase of the P waves can significantly bias the location of the hypocenter. In this study, the data used is one micro-earthquake (MEQ) event recorded by 8 seismic stations. At each seismic station, the P waves arrival time was measured repeatedly, to obtain the picking uncertainty time window interval of the P waves arrival time. The P waves arrival time data was processed using the Geiger method to obtain the MEQ hypocenter location. Based on the processing results, the determination of the arrival time of the P waves depends on the width of the time window and the amplitude scale used. The picking uncertainty time window interval will be narrower for arrival time observations with an enlarged time window and amplitude scale. Time window intervalin the range of 0,007-0,049 seconds, in this study significantly refracted the MEQ hypocenter location. The results of determining the location of the MEQ hypocenter using the Geiger method only produced two variants of the RMS error value with a difference of 0.001 seconds. However, the difference in the RMS error value is associated with a shift in the epicenter in the range of 2 – 21,1 meters and a shift in the elevation of the hypocenter in the range of 3-15 meters.