Reviewerly/exHarmony huggingface dataset:
Detecting Similarity of Program Code Using an Aggregated Approach to the Problem of Plagiarism Detection

Authors:
raw_author_name: E. N. Desyatirikova

Abstract: In this work, the primary strategies employed for code plagiarism were explored, alongside an analysis of prevalent methods for detecting copied content. Based on the results of the analysis of various approaches, as well as the analysis of the subject area itself and on the basis of the formulated requirements, a new System for automatically checking software similarity for plagiarism was successfully designed, implemented and tested. When developing the System, an aggregated approach was used, which made it possible to use several basic similarity detection algorithms. Namely, the Greedy Row Tiling algorithm and the Sifting algorithm. Since the System is designed for programmers, in particular, for teachers, and also with the possibility of local launch, it is proposed to perform user interaction with the System in the form of a command line interface. The System is implemented in Python, which ensures that the suggested System is platform independent. Regular expressions are used to implement preprocessing and exclusion functions, and the libclang library is used for С++ code parsing and tokenization functions. Promising applications for the developed System include education and programming competitions. So universities and colleges can use the System to check code written by students to detect plagiarism. And in competitive environments such as hackathons or programming competitions, the System can be used to ensure fairness and prevent plagiarism among participants.
Estimating total organic carbon of potential source rocks in the Espírito Santo Basin, SE Brazil, using XGBoost

Authors:
raw_author_name: Andre L.D. Spigolon
raw_affiliation_string: Centro de Pesquisa e Desenvolvimento Leopoldo Américo Miguez de Mello (Cenpes-Petrobras), Rio de Janeiro, RJ, Brazil
raw_author_name: Ana Luiza S. Albuquerque
raw_affiliation_string: Departamento de Geologia e Geofísica, Universidade Federal Fluminense, Niterói, 24210346, Brazil

Abstract: Identifying and constraining source rocks is critical for petroleum system modeling and risk assessment. Traditional methods for total organic carbon (TOC) estimation based on well logs have limitations, leading to the emergence of machine learning techniques like XGBoost. This study compiled a comprehensive data set of well log and geochemical data from the Espírito Santo Basin, SE Brazil, and XGBoost, which was integrated with pySpark, was used for running multiple machine learning models to predict TOC. Parameter tuning was performed by randomly combining model configurations over multiple replication data frames. XGBoost effectively predicted TOC, yielding a coefficient of determination R2 of 0.71, RMSE of 0.55 and MAE of 0.30, based on the average of all 10-fold cross-validation test sets. Heteroscedasticity was observed, possibly related to the presence of outliers in the target TOC variable, which may be linked to variable organic-matter deposition and preservation processes through the geological time, such as during Oceanic Anoxic Events (OAEs). The results indicate the potential of machine learning for TOC prediction in large, heterogeneous data sets, outperforming the traditional ΔlogR method and offering a promising tool for the usage of available public data sets in similar applications, such as the oil and gas (O&G) industry's exploration phase or field reassessment.
Implementing Cognitive Semantics of Autoepistemic Membership Statements: The Case of Categories with Prototypes

Authors:
raw_author_name: Radosław Piotr Katarzyniak
raw_affiliation_string: Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
raw_author_name: Grzegorz Popek
raw_affiliation_string: Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
raw_author_name: Marcin Żurawski
raw_affiliation_string: Polytechnic Faculty, University of Kalisz, Nowy Świat 4, 62-800 Kalisz, Poland

Abstract: This article presents a model of an architecture of an artificial cognitive agent that performs the function of generating autoepistemic membership statements used to communicate beliefs about the belonging of an observed external object to a category with a prototype. The meaning of statements is described within the model by means of cognitive semantics. The presented proposal builds upon a pre-existing architecture and a semantic model designed for a simpler case of categories without a prototype. The main conclusion is that it is possible to develop an interactive cognitive agent capable of learning about categories with prototypes and producing autoepistemic membership statements fulfilling requirements of Rosch’s standard version of prototype semantics and satisfying pragmatic and logical rules for generating equivalents of these statements in natural languages. Detailed results include the following: an original proposal for an agent’s architecture, a model of an agent’s strategy of learning categories with a prototype, a scheme for determining the computational complexity of particular implementations of the learning strategy, definitions of cognitive semantics for particular cases of autoepistemic membership statements, and an analytical verification of properties of the proposed cognitive semantics. Finally, this article discusses the directions of further development and potential variants of the proposed architecture.
Geogas prospecting for igneous ore deposits covered by regolith: The Zijinshan high-sulfidation epithermal Cu-Au deposit in the Cathaysia Block

Authors:
raw_author_name: Rong ye
raw_affiliation_string: China University of Geosciences, Beijing, 100083 China
raw_author_name: Haichuan Duan
raw_affiliation_string: Kunming General Survey of Natural Resources Center, China Geological Survey, Kunming, 650111 China

Abstract: The mining industry faces a challenge due to the scarcity of outcrop or near-surface mineral deposits, necessitating the development of low-cost and efficient prospecting methods to explore through cover. Inductively coupled plasma mass spectrometry (ICP-MS) has been applied to geological sample analysis, and scientists have gradually improved the method of geogas prospecting. As a result, geogas prospecting has shown promising results in detecting underlying concealed Au, U, and Cu-Ni deposits covered by Gobi sand and Quaternary sediments.To verify the effectiveness of this method for exploring underlying concealed mineral deposits developed in igneous covered areas, the Zijinshan high-sulfidation epithermal (HSE) Cu-Au deposit, a concealed mineral deposit in southeastern China, was selected as the experimental field. Our experiments revealed nanoscale particles composed of Au, Cu-Fe, and Cu-other elements in the geogas captured above the ore bodies of the deposit. Furthermore, Cu-nanoscale particles retain the isotopic composition of copper found in both the oxidation zone and deep copper ores. The geogas samples exhibited similar C1-chondrite normalized rare earth element (REE) distributions, with REE patterns indicating significant enrichment of LREE relative to HREE and similar (La)N/(Sm)N and (Gd)N/(Yb)N ratios. These characteristics are similar to those of the gold ores, copper ores, altered rock, and bedrock near the ore bodies. These findings suggest that deep-penetration geochemical methods using geogas can be a valuable tool for uncovering underlying concealed mineral deposits in igneous covered areas.
Supplemental Material: Lithospheric mantle as a metal storage reservoir for orogenic gold deposits in active continental margins: Evidence from Hg isotopes

Authors:
raw_author_name: Jing-Yuan Zhang
raw_author_name: Kun-Feng Qiu
raw_author_name: Jun Deng
raw_author_name: et al.

Abstract: &lt;p&gt;Geology of the Jiaodong gold province, analytical methods, supplementary notes, Figure S1, and Tables S1–S2. &lt;/p&gt;
Strategies for Enhancing the Practical and Innovative Abilities of Environmental Major Students

Authors:
raw_author_name: Hongwen Dai

Abstract: In order to meet the quality requirements of applied talent cultivation in local universities and enhance students' innovation ability, this study which take the environmental major students of Zhaoqing University as an example, explores the role of the “industry-university-research-application” platform, college student innovation and entrepreneurship training programs and various subject competitions in talent cultivation. It is benefit to encourage students to complete self practice ability cultivation through school enterprise platforms, training programs, and competitions. This study provide reference for improving the abilities of environmental majors in similar universities.
Digital Teaching Competence and Educational Inclusion in Higher Education. A Systematic Review

Authors:
raw_author_name: Miriam Agreda Montoro
raw_author_name: Ana María Ortiz Colón

Abstract: This article presents a systematic review of the literature with the aim of providing an updated framework for the scientific production developed in the field of digital competence and inclusive education in Higher Education, as indexed in the Web of Science (WoS) and SCOPUS databases. Twenty-one scientific articles published between 2016-2023 were included and analyzed, with no temporal cohort established. The search matches yielded a first document of the topic of study in 2016 in the Social Sciences Citation Index. The results obtained on the conceptual structure of the analyzed documents were carried out through a multiple correspondence analysis (MCA) observing the existence of two dimensions composed of three clusters. Cluster one was composed of studies on digital competence, virtual learning environments, digital divide, and functional diversity, among others. Cluster two comprised studies carried out on digital tools and competencies, inclusive education, educational processes, and digital strategies; while cluster three was made up of educational inclusion related to interculturality and digital competence. Among its limitations, there were aspects related to the heterogeneity of the studies, which make it difficult to compare the data, and the sample and size of the study, which makes the results obtained and the generated data have a lower percentage of generalization compare to studies that use larger simples. This study has implications for researchers and Higher Education institutions interested in research on digital competence for inclusive education, with the possibilities of digital competence for inclusive education being established from the studied variables, allowing teachers to adapt and personalize learning to meet individual student needs. All of this is in line with the goals of the 2030 Agenda, concerning the empowerment of citizens and the digitization of public services to ensure the population's access to such services via the internet.
An Improved Public Key Cryptographic Algorithm Based on Chebyshev Polynomials and RSA

Authors:
raw_author_name: Chunfu Zhang
raw_affiliation_string: Department of Industrial Electronics, University of Minho, 4800-058 Guimaraes, Portugal; School of Statistics and Data Science, Zhuhai College of Science and Technology, Zhuhai 519041, China
raw_author_name: Yanchun Liang
raw_affiliation_string: School of Computer Science, Zhuhai College of Science and Technology, Zhuhai 519041, China
raw_author_name: Adriano Tavares
raw_affiliation_string: Department of Industrial Electronics, University of Minho, 4800-058 Guimaraes, Portugal
raw_author_name: Lidong Wang
raw_affiliation_string: School of Statistics and Data Science, Zhuhai College of Science and Technology, Zhuhai 519041, China
raw_author_name: Tiago Gomes
raw_affiliation_string: Department of Industrial Electronics, University of Minho, 4800-058 Guimaraes, Portugal
raw_author_name: Sandro Pinto
raw_affiliation_string: Department of Industrial Electronics, University of Minho, 4800-058 Guimaraes, Portugal

Abstract: Due to its very desirable properties, Chebyshev polynomials are often used in the design of public key cryptographic systems. This paper discretizes the Chebyshev mapping, generalizes the properties of Chebyshev polynomials, and proposes an improved public key encryption algorithm based on Chebyshev chaotic mapping and RSA, i.e., CRPKC−Ki. This algorithm introduces alternative multiplication coefficients Ki, the selection of which is determined by the size of TrTdxmodN=TdTrxmodN, and the specific value selection rules are shared secrets among participants, overcoming the shortcomings of previous schemes. In the key generation and encryption/decryption stages, more complex intermediate processes are used to achieve higher algorithm complexity, making the algorithm more robust against ordinary attacks. The algorithm is also compared with other RSA-based algorithms to demonstrate its effectiveness in terms of performance and security.
Quadripartite quantum steering generated by single-pass cascaded nonlinear processes

Authors:
raw_author_name: Y. R. Shen
raw_author_name: Y. X. Jiang
raw_author_name: X. Y. Cheng
raw_author_name: J. W. Lv
raw_author_name: Youbin Yu
raw_author_name: G. R. Jin
raw_author_name: Aixi Chen

Abstract: Abstract Quantum steering has become an important resource for quantum information due to its unique asymmetry. In this paper, quadripartite quantum steering generated by single-pass non-degenerate optical parametric amplification cascaded with a sum-frequency process is investigated. Firstly, idler beam is produced by different-frequency process between pump and signal. Secondly, sum-frequency beam is generated by cascaded sum-frequency process between idler and pump in the same optical superlattice. Quadripartite quantum steering among pump, signal, idler and sum-frequency beams id demonstrated based on the criterion for multipartite quantum steering. The influences of nonlinear coupling coefficients $\kappa$, dimensionless propagation length $\xi$, and the initial values of pump and signal on the variation characteristic of the quadripartite steering are also investigated. The results indicate that slightly larger nonlinear coupling coefficients of cascaded nonlinear processes and weaker signals can achieve better quadripartite quantum steering. This simple quadripartite quantum steering preparation scheme does not require a resonant cavity and is easier to implement experimentally, with potential applications in quantum communication and computing.
Development of Vinzons Pilot High School Online Enrollment with Student Track Identification System

Authors:
raw_author_name: JEZREEL E. RODRIGUEZ

Abstract: The Vinzons Pilot High School is a top secondary school in the Camarines Norte province. About 6,000 students attend VPHS every year with the number seeing a steady increase. which recruited around 200 instructors and staff members. Enrolment allows around 6000 students every year which poses a concern for the student and the employees of the school. It is for that reason that the digitizing enrolment system is among the alternatives that can help to manage the large number of participants and the data to manage. The agenda on the establishment of online enrolment system coupled with student track identification for Vinzons Pilot High School was offered as an alternative for the usual manual process, and to facilitate flow and eliminate disorganization of transactions and work. The research focuses on how hand enrolling works on the side of school transactions and students' opinions about their selective track. The enrolment procedure is time-consuming and is not so efficient as manual enrolment method is used to cover multiple transactions like the updating and adding of student data, the provision of Learner Information System reports, student sectioning, assisting students to choose a specialty among others. The study requires proper data management because the study concentrates on monitoring adherence to the restrictions and assessing the manual system. In this, the proponent obtained the necessary data that would guide the development of redesigning and automating the existing process and serving students to find the right path to their career.
Benefits of Kahoot in Improving 7th Grade Junior Highschool English Vocabulary: Classroom Action Research in SMP Hamong Putera Ngaglik

Authors:
raw_author_name: Jamilah Jamilah
raw_affiliation_string: Universitas Negeri Yogyakarta, Yogyakarta, Indonesia

Abstract: This Classroom Action Research investigates the advantages of employing Kahoot, A platform that teaches through games, in expanding one's vocabulary in English among 7th grade junior high school students at SMP Hamong Putera Ngaglik. The study found that Kahoot significantly enhances student improvement, motivation, and learning outcomes. It was observed that the use of Kahoot led to an increase in vocabulary scores, indicating its effectiveness as a learning tool. The study included before being tested, Kahoot! intervention, and a vocabulary post-test. This study examined if Kahoot! could improve 7th-graders' English vocabulary acquisition and retention. The study found that Kahoot! improved pupils' vocabulary scores. Kahoot!'s gamification made learning fun and engaging. The platform's real-time feedback helped students remedy their mistakes, fostering active learning and English language comprehension. Kahoot! may help 7th-grade junior high school students learn English vocabulary, according to one study. To improve vocabulary learning, teachers can use gamification like Kahoot! This study adds to the literature on technology-enhanced learning aids in education.Keywords: Classroom Action Research, Kahoot, Vocabulary
High-speed lensless eye tracker for microsaccade measurement

Authors:
raw_author_name: Kyung Chull Lee
raw_affiliation_string: Yonsei Univ. (Korea, Republic of)
raw_author_name: Kyungwon Lee
raw_affiliation_string: Yonsei Univ. (Korea, Republic of)
raw_author_name: Jaewoo Jung
raw_affiliation_string: Yonsei Univ. (Korea, Republic of)
raw_author_name: Seung Ah Lee
raw_affiliation_string: Yonsei Univ. (Korea, Republic of)

Abstract: We report on the design and construction of a goggle-type eye tracker using a low-cost and high-speed lensless camera for monitoring eye movements in neurodegenerative diseases. A Rolling Shutter image sensor combined with lensless computational imaging allows for the reconstruction of a time sequence of images from a single snapshot, effectively improving the framerate of the camera. We constructed and demonstrated the prototype device using a commercial-grade CMOS image sensor and achieved the improvement of framerate from 15 to 480Hz, with the tracking results for 28 clinical measured data. Our device can potentially measure microsaccadic eye movements in a wearable camera format, allowing routine monitoring of abnormal eye movements for the early diagnosis and tracking of Alzheimer’s and Parkinson’s disease.
Restoring Nigeria’s Exchange Rate to the Goodluck Jonathan’s Era for Economic Recovery and Growth

Authors:
raw_author_name: Silva Opuala-Charles

Abstract: This paper analyzes the factors contributing to Nigeria's current exchange rate challenges, particularly comparing the economic performance during the administrations of Presidents Goodluck Jonathan, Muhammadu Buhari, and Bola Ahmed Tinubu. It also looks into the overall state of the economy and strategies to restore Nigeria’s exchange rate to pre-Buhari levels. Key issues discussed include the decline in the Naira's value, rising inflation, and the challenges faced by different sectors. The research underscores the adverse effects on citizens, especially the poor, and emphasizes the need for urgent government intervention. The recommendations suggested encompasses measures to boost foreign exchange supply, manage demand, and enhance economic stability. Some of them includes promoting non-oil exports, addressing political stability concerns, managing inflation, and implementing policies to discourage currency speculation. Keywords: Balance of payments, Exchange rate, Fiscal policy
Efficient First-price Sealed E-auction Protocol Under Secure Multi-party Computational Malicious Model

Authors:
raw_author_name: Da-Wei Zhou Da-Wei Zhou
raw_author_name: Su-Zhen Cao Da-Wei Zhou
raw_author_name: Dan-Dan Xing Xiao Zhao

Abstract: &lt;p&gt;To solve the problems of existing e-auction protocols such as semi-trustworthiness of outsourced third parties, collusive attacks among participants, unsatisfactory decentralized structure, and inability of public verification, we propose an efficient first-price sealed e-auction protocol under a secure multi-party computational malicious model. First, the protocol combines the additive homomorphism of the ElGamal cryptographic algorithm to achieve a decentralized structure and eliminate the problem of semi-trustworthiness of outsourced third parties; it uses (n, n) threshold encryption and decryption techniques to solve the problem of collusion attacks among participants and uses Hash-based Message Authentication Code (HMAC) technology to achieve public verifiability of auction results. Additionally, the protocol proposes a method to quickly find the maximum value of the data encoding, which can avoid multiple processing of confidential data and thus effectively reduce the number of communication rounds. The combination of zero-knowledge proof and ideal/realistic simulation paradigm proves that the protocol in this paper is resistant to up to n-1 party collusion attacks and satisfies the security of the secure multi-party computational malicious model. Finally, after theoretical analysis and simulation experiments, the protocol not only satisfies higher security performance but also has greater overall operational efficiency.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Pelatihan Bahasa Inggris “Tenses” Bagi Siswa Sekolah Minggu HKBP Getsemane Medan Labuhan

Authors:
raw_author_name: Arsen Nahum Pasaribu
raw_author_name: Rony Arahta Sembiring
raw_author_name: None Sondang Manik
raw_author_name: None Tiara K Pasaribu
raw_author_name: None Leriana Marbun

Abstract: Mastery of English is a must for everyone around the world. Likewise in Indonesia, mastering English will provide great benefits for future studies and careers. However, students still experience obstacles in learning and practicing English either in the school environment or in the community because English is a foreign language for the Indonesian people, which is not used as an official or everyday language. Therefore, the PKM activities of the Faculty of Languages ​​and Arts, HKBP Nommensen University try to provide solutions to students and the community to improve their ability to master English. By focusing on English 'tenses' training for Sunday school students at the HKBP Getsemane church, Martubung Medan. The training participants were 20 elementary and middle school students who were Sunday school children and church teenagers. The training lasted for two weeks with three meetings each week, starting from 16-28 October 2023. After the training was carried out, the results of the training in the form of trainee test scores showed significant progress in the trainee's ability to understand and practice English tenses, both written and verbal. From the observations it was also found that the training participants were very enthusiastic and interested in learning English using the methods used in class.