Reviewerly/exHarmony huggingface dataset:
Who’s Who in Mineral Names: Ramon S. DeMark (b. 1937)

"Who’s Who in Mineral Names: Ramon S. DeMark (b. 1937)." Rocks & Minerals, 98(5), pp. 479–480 ACKNOWLEDGMENTSThanks are extended to Mike Sanders, Joan Beyer, Dr. Hexiong Yang, and Dr. John Rakovan for their reviews of this article and helpful suggestions.Additional informationNotes on contributorsRon GibbsRon Gibbs is a retired mining engineer, a research associate with the Department of Geosciences at the University of Arizona in Tucson, and a past contributor to Rocks & Minerals.
EXPERT SYSTEM FOR DIAGNOSIS OF KIDNEY DISEASE WITH DEMPSTER SHAFER METHOD AT MEDIKA PLAZA CLINIC

SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT GINJAL DENGAN METODE DEMPSTER SHAFER PADA KLINIK MEDIKA PLAZACurrent technological advances have changed manual information processing to computerized, making it faster and more accurate. One of the applications of information technology in the health sector is implemented in the form of an expert system application for diagnosing various diseases as done by a doctor or expert. Kidney disease is difficult to detect (often there are no warning signs) but is very life threatening to a person. Kidney is an important organ in the body that performs an important function in the body as a filter for salt, water and acids. The use of expert system applications is expected to provide accurate analytical results in determining the diagnosis of a person's kidney condition. The research was conducted to develop an expert system application for diagnosing kidney disease using the Dempster Shafer method at the Medika Plaza clinic, South Jakarta. From the test results it was concluded that this application could speed up doctors diagnosing patients with symptoms of kidney disease.
Analisis Model Pembelajaran Snowball Throwing pada Mata Pelajaran IPS Siswa Kelas I di SDN Ngujung 2

The purpose of this study was to analyze how the snowball throwing learning model was applied to social studies subjects of grade IV students at SDN ngujung 2. The approach used is a qualitative approach with a descriptive type. The data collection technique uses observation, interview, and documentation techniques. The results showed that the application of the Snowball Throwing learning model was able to increase student learning activity in social science subjects. In social science subjects, students have a fairly good activeness in the process of teaching and learning activities. Students are involved physically and mentally in the learning process such as asking questions, asking opinions, doing assignments, and discussing. Increasing student learning activity is in accordance with student learning activity indicators, namely participating in carrying out learning tasks, being involved in solving a problem, asking friends or teachers for example there is material that is not understood, trying to find information as problem solving, carrying out group discussions, measuring the abilities and results that have been obtained, practicing in solving a problem, applying the learning results obtained in solving Problems Faced. The obstacles faced are such as the duration of learning time is lacking, classrooms that are less strategic, and interference from ignorant friends.
Quantum Approaches for Medoid Clustering

The $$k$$ -medoids problem is an important problem in data clustering, which aims to partition a set of data points into $$k$$ clusters, where each cluster is represented by a medoid, i.e., a data point that is the most centrally located in the cluster. Quantum annealing might be helpful in finding the solution to this problem faster. In this paper we compare three approaches for using the quantum annealer and QUBO-formulations to solve the $$k$$ -medoids problem. The first approach revolves around a QUBO that encodes the problem as a whole. This approach turns out not to scale well for bigger problem sizes. The QUBO in the second approach comes from the literature and solves only the problem of finding medoids: assigning the datapoints to clusters requires an additional step. The QUBO formulation in the third approach is the same as in the second, but with different penalty parameters. We show that the second and third approaches scale better in terms of complexity than the first approach. However, the original penalty parameters in approach 2 (i.e. those suggested in the literature) do not work well for bigger instances. Taking different parameters makes this approach much better in performance.
PROYEK BUKU ANTOLOGI PUISI DAPAT MENINGKATKAN KEMAMPUAN MENULIS PUISI SISWA

Based on the field observation, the students’ poem writing skill was very low. One of the problems was uninteresting model of learning implementation by the teacher. Based on the study, project based learning model could create very interesting learning environment, collaborative, and give a chance to students to explore their writing skill and create a product from their though and creativity. In this study, the implementation of project based learning model can stimulate students to write down the idea in literature work. Poem anthology book which was distributed become an ISBN book is a product from the implementation of project based learning. This book is compilations of students’ poem that is consist of various themes that were taken from students’ life experiences. So, we can conclude that this book can improve elementary students’ poem writing skill.
A Denoising Method of Bandlimited Graph Signal without Using GFT Basis

In this paper, a denoising method of bandlimited graph signal without using graph Fourier transform (GFT) basis is presented. First, the bandlimitedness prior in spectral domain is used to develop a denoising method which needs to know the orthonormal basis of GFT for computing the denoising matrix. Second, the denoising matrix of bandlimitedness-based method is approximated by the transfer matrix of graph filter whose optimal coefficients are determined by minimizing the Frobenius norm of error matrix. Third, the approximate denoising graph filter is implemented in vertex domain, so the proposed method does not need to know the orthonormal basis of GFT. Finally, the temperature data at USA is used to validate that proposed GFT free method can provide almost the same performance as the conventional method.
A Production and Marketing Platform Model Based on the AIoT and Blockchain System for Aquaculture

This article proposes a production and marketing platform model based on the AIoT and blockchain system for aquaculture, which is different from the general aquaculture market transaction mode, removes the centralization of the previous aquaculture transaction mode, and the transaction process and content are relatively safe. One-to-one direct transaction or one-to-many transaction, block each transaction, the block content is encrypted multiple transaction data, and integrates the characteristics of the AIoT to refine each aquatic product, allowing consumers to eat safely when buying, and the act of encrypting the transaction content improves the credibility of the transaction, replacing the center (bank) required for traditional transactions. Traditional transactions centralize transactions to maintain security and fairness. Nevertheless, regional decentralization of block training technology can also lead to safe and fair dealings, allowing consumers to trade quickly and safely. The proposed model architecture is expected to bring greater breakthroughs to the aquaculture industry.
A Secure and Reliable Private Key Recovery Method

This paper proposes an indirect-permission approach to address the circular protection issue and collusion problem in private key backup and recovery processes. The approach separates the management of permission and possession by escrowing only the permission of the backup to the trustees, using a randomly selected symmetric key. The trustees are prevented from possessing the secret key even after the owner requests recovery, and the approach solves both the circular protection issue and collusion problem. The proposed method provides a secure and efficient solution for backup and recovery processes, which is crucial for ensuring data security in modern information systems.
Implementing Multi-Level Features in a Student-Teacher Network for Anomaly Detection

Anomaly detection is an open and challenging problem that aims to detect anomaly in future samples. In this study, we explore a simple but effective solution that utilizes multi-level feature combination in a student-teacher network to improve the prediction result. Our approach combines low-level, middle-level, and high-level features extracted from ResNet18 to capture a range of features from different layers of the network. Through the use of a student-teacher network, we select the best possible generated features from ResNet18 to enhance the prediction performance. Our results demonstrate that combining features from different levels of the network enhances the model's ability to learn and recognize anomalous patterns, and thus improves the accuracy of anomaly detection. Our proposed student-teacher network with ResNet18 backbone achieves a prediction score of 92.80% and 96.90% for Image AUC and Pixel AUC respectively.
A Performance-Adaptive and Time-Monitored Autonomous Ticket Booking Service in Cloud

With the increasing demand for autonoumous ticket booking services for all kinds of events, user numbers and service performance requirements increase dramatically. Platforms such as BASH, Ticketmaster, Eventbrite, and SeatGeek, often outsource such services to third parties, but the operation cost is often high. Therefore the performance for time-critical requirements is without monitoring. Furthermore, the cloud platform is becoming a popular solution for event opganizing platforms due to its mighty computation power. In order to address these issues, this study presents a cloud-based, performance-adaptive, and time-monitored autonomous ticket booking system, utilizing a paradigm for booking as a service that can be readily included into cloud platforms. Together with the implementation itself, we also provide a variety of flexible service settings that may serve a specified number of concurrent users while consuming the least amount of resources. We carry out thorough implementations to verify our methodology.
Design of Intelligent Education Management Platform Based on Fuzzy Control Algorithm

Excellent educational software is helpful to improve students’ learning interest and classroom teaching efficiency, which can not only impart knowledge, develop intelligence and cultivate ability, but also achieve the purpose of teaching students in accordance with their aptitude, entertaining and individualized teaching. Nowadays, science and technology are changing with each passing day, and new technologies are emerging one after another. With the continuous growth of social productive forces, the national income has been greatly improved, and the people’s living standard has reached a new level. At the same time, people’s thirst for knowledge is exploding. At present, the popular live broadcast courses, recording and broadcasting courses and online double-teacher courses in the Internet education industry have solved the problem of uneven distribution of educational resources to some extent. However, due to the lack of effective interaction between teachers and students, these educational methods still have the problems of low teaching efficiency and insufficient personalization. In order to increase the effective interaction between teachers and students, the company where the author practiced designed and developed an “offline” intelligent education platform based on interactive scenes. The platform established a perfect education scheme, and dynamically added interactive video clips on the basis of recorded and broadcast lessons, so that the teachers on the screen could interact with students in real time and efficiently while giving lectures, thus enhancing mutual understanding, enhancing students’ interest in learning on the basis of personalized teaching, and solving the problems of low human efficiency and insufficient personalization in the education industry.
Petrochemistry of Charnockitic Rocks of Awo-Osuntedo Area, southwestern Nigeria

The petrochemistry of charnockitic rocks from the Awo-Osuntedo area of southwestern Nigeria were investigated with the objectives of presenting their petrogenesis and geotectonic setting at the time of their emplacement. The rocks were mainly found within the migmatitic gneiss country rock and associated pegmatites. They occurred as small intrusive bodies and are composed mainly of orthopyroxene, clinopyroxene, quartz, biotite, secondary amphibole, plagioclase and alkaline feldspars with a small compositional range between basic and intermediate respectively for Awo and Osuntedo rocks. The small Eu* anomalies (0.9-1.47) with an average of 1.2 combined with elemental signatures indicate that the rocks were derived from an enriched mantle with some crustal contamination and emplaced in an environment similar to the arc region of tectonic setting. Though, the rocks have dry mineral assemblages, there is no geochemical evidence to suggest they were derived from melting that was associated with granulite facies metamorphism rather the small sizes of the plutons and the geochemical signatures particularly high magnesian and calc-alkaline nature are typical of the Caledonian type charnockite formed during delamination of thickened continental crust after collisional orogeny.
Frameworking vocational teachers’ digital competences

Two decades of international research on digital competence of teachers have provided a number of frameworks for empirical studies and curriculum development. However, research publications addressing the needed digital competence of vocational (VET-) teachers are scarce. In this article we ask to what extent leading conceptual frameworks on digital competence are fruitful templates for studying such competences in the case of VET-teachers’ professional development, and what could be alternative conceptual models that fit this professional category. A synthesis is made of relevant literature based on a theoretical platform in vocational didactics and digitalization that highlights the diversity of international VET-systems and the connectivity between work and school. We adopt an integrative literature research approach that combines systematic procedures and supplementary searches in an iterative way.&#x0D; Our descriptive analysis of the literature indicated that the international research on VET-teachers digital competence had in general a narrow focus on technical skills with a lack of perspective on key issues about their digital competences such as connectivity school / work, subject-specificity, and adaptive pedagogy. The articles tended to leave out contextual issues, for example the changing professional work of vocational teachers and background information about the national VET-systems. However, part of the literature pointed to the need for more “grounded” research starting from case-studies and qualitative data / mixed-methods research. Our synthesis of the literature in light of our theoretical framing identified four main topics for further research on VET-teachers’ digital competence that were incorporated in a working model or a “frameworking” that needs to be further developed in order to provide a rich and validated basis for constructing professional programs.&#x0D;
Sistem Informasi Pemasaran Perumahan Pusaka Bumi Menggunakan View 360 Berbasis WEB

Pusaka Bumi Housing which is under the auspices of PT. Istia Jaya Land is located at Jln. Parungkuda Scouts, Parungkuda District, Kab. Sukabumi, West Java Province. PT.Istia Jaya Land is a company engaged in the sale of houses. The housing marketing team still uses conventional methods in marketing the housing, such as still using brochures, which in general, the contents of the brochures are not in accordance, starting from the 3D house drawings, which are different from the unit designs of the original housing, and seem unrealistic, so it confuses many potential buyers. feel disinterested. so researchers designed a Housing Marketing Information System Using view 360. In making this website the aim is for housing marketing in order to increase the attractiveness of prospective buyers and also the competitiveness of the housing. Housing Marketing using View 360 Based on this website can provide unique experience benefits for prospective buyers and will also be more effective. First, by using View 360 Technology, prospective buyers can take a Virtual Tour through the housing website online, without having to physically visit the location. This allows them to view and explore every corner of the room, layout, and housing facilities from the comfort of their own home. The use of view 360 in housing marketing can increase the attractiveness of prospective buyers and the competitiveness of these housing. In a competitive environment, housing with a virtual 360 view tour has an advantage over one that only uses regular photos. This can attract potential buyers, increase the visibility of housing, and speed up the selling process. The results of this information system design are expected to be able to provide convenience in terms of promotion for Bumi Pusaka Housing.&#x0D;
10. Digital creativity and copyright law

This chapter examines the sometimes fraught relationship between authors, publishers and distributors, and fans. While copyright law protects authors and creators, and while publishers and distributors benefit from either assigned copyright or specific copyright protection of distribution and transmission of content, fans are sometimes ‘shut out’. A flourishing online community of fan creators who produce written fanfiction, remixed music, and fan videos sometimes feel copyright law is designed to keep them at a distance from the creators and characters they love. This chapter examines where the balance should be drawn between copyright protection for original content and the interests of fans and other users in creating non-commercial derivative works. It concludes with an expanded discussion of AI generated works as a form of original creation and AI infringement.
PENERAPAN APLIKASI QUIZIZZ PADA PESERTA DIDIK KELAS XI MIPA 3 UNTUK MENINGKATKAN HASIL BELAJAR EKONOMI MATERI APBN DAN APBD DI SMAN 1 NGORO

Economics learning aims to equip students with knowledge. With this goal, students are expected to be able to better understand each material taught as one of the provisions in their lives. However, in reality there are many students who have difficulty understanding the material taught in class, especially on APBN and APBD material. This is due to the lack of enthusiasm of students in teaching and learning activities. The lack of use of good learning methods also makes the classroom atmosphere monotonous and boring so that, it is revealed that the learning that has been taking place so far students are sleepy by putting their heads on the table, joking with their friends, and when the evaluation is carried out using paper tests students copy their friends' answers. So through this action research, researchers want to improve students' learning outcomes in economics learning, especially on APBN and APBD material by implementing the Quizziz application. The research subjects were class XI MIPA 3 students at SMAN 1 Ngoro, Ngoro sub-district, Mojokerto district for the 2022/2023 academic year, totaling 36 students. From the results of the learning activities that have been carried out for two cycles, and based on all the discussions and analyzes that have been carried out, it can be concluded as follows: Economic learning on APBN and APBD material with the application of the Quizizz application has a positive impact on student learning outcomes in class XI MIPA 3 SMAN 1 Ngoro, Ngoro sub-district, Mojokerto district for the 2022/2023 academic year. This is based on the post test scores which continue to increase from the first to the second cycle. This is evidenced by the increasing number of students who achieved KKM, the first cycle was 76.5% and the second cycle was 93%, an increase of 16.5%. This success was obtained by implementing the Quizizz application. By giving multiple choice questions to students through the Quizizz application, the questions will appear randomly on each student's screen so that the evaluation carried out can be purely according to the ability of the students
Don’t Forget Pairing-Friendly Curves with Odd Prime Embedding Degrees

Pairing-friendly curves with odd prime embedding degrees at the 128-bit security level, such as BW13-310 and BW19-286, sparked interest in the field of public-key cryptography as small sizes of the prime fields. However, compared to mainstream pairing-friendly curves at the same security level, i.e., BN446 and BLS12-446, the performance of pairing computations on BW13-310 and BW19-286 is usually considered inefficient. In this paper we investigate high performance software implementations of pairing computation on BW13-310 and corresponding building blocks used in pairing-based protocols, including hashing, group exponentiations and membership testings. Firstly, we propose efficient explicit formulas for pairing computation on this curve. Moreover, we also exploit the state-of-art techniques to implement hashing in G1 and G2, group exponentiations and membership testings. In particular, for exponentiations in G2 and GT , we present new optimizations to speed up computational efficiency. Our implementation results on a 64-bit processor show that the gap in the performance of pairing computation between BW13-310 and BN446 (resp. BLS12-446) is only up to 4.9% (resp. 26%). More importantly, compared to BN446 and BLS12-446, BW13-310 is about 109.1% − 227.3%, 100% − 192.6%, 24.5%−108.5% and 68.2%−145.5% faster in terms of hashing to G1, exponentiations in G1 and GT , and membership testing for GT , respectively. These results reveal that BW13-310 would be an interesting candidate in pairing-based cryptographic protocols.
LPN-based Attacks in the White-box Setting

In white-box cryptography, early protection techniques have fallen to the automated Differential Computation Analysis attack (DCA), leading to new countermeasures and attacks. A standard side-channel countermeasure, Ishai-Sahai-Wagner’s masking scheme (ISW, CRYPTO 2003) prevents Differential Computation Analysis but was shown to be vulnerable in the white-box context to the Linear Decoding Analysis attack (LDA). However, recent quadratic and cubic masking schemes by Biryukov-Udovenko (ASIACRYPT 2018) and Seker-Eisenbarth-Liskiewicz (CHES 2021) prevent LDA and force to use its higher-degree generalizations with much higher complexity.In this work, we study the relationship between the security of these and related schemes to the Learning Parity with Noise (LPN) problem and propose a new automated attack by applying an LPN-solving algorithm to white-box implementations. The attack effectively exploits strong linear approximations of the masking scheme and thus can be seen as a combination of the DCA and LDA techniques. Different from previous attacks, the complexity of this algorithm depends on the approximation error, henceforth allowing new practical attacks on masking schemes which previously resisted automated analysis. We demonstrate it theoretically and experimentally, exposing multiple cases where the LPN-based method significantly outperforms LDA and DCA methods, including their higher-order variants.This work applies the LPN problem beyond its usual post-quantum cryptography boundary, strengthening its interest for the cryptographic community, while expanding the range of automated attacks by presenting a new direction for breaking masking schemes in the white-box model.