Reviewerly/exHarmony huggingface dataset:
The Roboré Microcontinent, Sw Amazonian Craton: New Insights on the Orosirian-Ectasian Crustal Evolution from U-PB Geochronology and Isotopic Constraints

We present new and compiled U-Pb zircon ages and Nd and Hf zircon constraints for rocks of the Roboré Microcontinent, the Eastern Precambrian Shield of Bolivia, located in the SW fringe of the Amazonian Craton. The database together with updated geologic information provides new insights into the Proterozoic evolution. This microcontinent, subdivided into the San Diablo and Paraguá terranes, comprises the following lithostratigraphic units: The oldest San Diablo terrane comprises amphibolite facies gneissic rocks (1941 ± 40 Ma), intruded by the Correreca, Santo Corazon, and Santa Terezita plutons with documented ages between 1874 and 1849 Ma. The Paraguá terrain comprises the Lomas Maneches Granulite Complex (1820 Ma), the Chiquitania Gneiss Complex (1750-1690 Ma), and the San Ignacio Schist Group (1690 Ma). This basement was intruded by the Yarituses suite (1683-1610 Ma) and the Pensamiento Granitoid Complex (1440-1270 Ma )which consists of the syn- to late-kinematic granites and the late- to post-kinematic granites.
Modern Approaches to Improving the Quality of Vocational Training for Future Workers in the Context of the Implementation of the «World Skills» Standards

The system of secondary vocational education can be considered as the most demanded area of education in Russia. Meanwhile, the current economic and geopolitical situation in the world determines the need for specialists with a high level of professional training according to international standards.In order to improve quality of vocational training in the system of secondary vocational education, the author offers the system of vocational training of future specialists showing it on the example of the profession 43.01.09 «Cook, confectioner» and takes into account the introduction of «World Skills» standards into the educational process and a new form of state final certification in the form of «demo exam». The system consists of five components, each of them has been discussed and disclosed in details.The proposed system for improving the quality of vocational training makes it possible to increase the level of practical orientation of the educational process, encourages students to improve their professional skills by expanding the range of professional competencies, and all changes in the content and structure of the curriculum related to the requirements of the «World Skills» international standards entail behind them are qualitative changes in the organization of the educational process, and, as a result, affect the quality of vocational training of future specialists in «blue-collar» professions.
Ore and alteration mineralization of Erdenetiin Ovoo Cu-Mo porphyry deposit, Mongolia

The Erdenetiin Ovoo is one of the largest Cu-Mo porphyry deposits in Mongolia, with estimated metal reserves calculated in 2021 of 10.7 Mt Cu and 0.49 Mt Mo [1].In this study, we confirmed that ore alteration and mineralogy strongly affect both mining and milling strategies.Using XRF, XRD, SEM-EDX, and ICP-MS techniques, core samples from the Northwest and Central pits of the deposit were investigated.Ore mineralization changed gradually from depth to upward as Mo porphyry, Cu-Mo porphyry, and Cu porphyry.From the center to the margin of the deposit, four distinct types of alteration zones are recognized (potassic, phyllic, argillic, and propylitic).Potassic alteration is characterized by the presence of quartz, potassium feldspar, and anhydrite.It typically contains minor amounts of chalcopyrite, pyrite, magnetite, and molybdenite with accessory W and Sn.Phyllic alteration includes quartz and sericite with abundant pyrite and lesser chalcopyrite and bornite which contain Fe 3+ , Mo, Au and Ag.In the argillic alteration zone, pyrite is dominant containing Fe 2+ (Au), while sphalerite and galena which contain Zn, Pb (Ag, Au) are developed in the propylitic zone [2].A cross-section through the deposit can be divided into oxidized, mixed, secondary sulfides, and primary sulfide zones (most commonly copper porphyry deposits).The copper-bearing minerals in primary and secondary sulfide zones vary as follows: chalcopyrite, enargite, tennantite are dominants in the primary ore zone, while chalcocite, covellite, and bornite are in the secondary sulfide zone.Copper carbonates, silicates, phosphates, sulfates, oxides, and native copper are developed in the oxidation zone [3].Based on geological, mineralogical, and geochemical studies, Erdenet Cu-Mo ore can be classified into five types depending on mineral association, chemical composition, oxidation degree, mineral particle size, and grade.Each type is unique and reagent requirements were carefully determined by laboratory testing.[1] Batgerel et al. ( 2021), Resources estimation report and exploration result during 2016-2020 for the Erdenetiin Ovoo copper-molybdenum deposit; 176p.[2] Davaasambuu (1995), Ore composition and technological mineralogy at Erdenetiin Ðžvoo copper porphyry deposit.Ph.D thesis.
Cold Case: Factors That Promote Case Solvability

The killing of one person by another is a topic that attracts a lot of media interest in our society. It is the responsibility of law enforcement officials to find solutions to these offenses, or at least find the perpetrators of such heinous crimes and bring them to justice. Despite the fast rise of forensics and the technology that goes with it, there are still unsolved instances of murders whose investigations have stalled for more than a year without apprehension of a perpetrator or the full appreciation of the circumstances leading to those incidents. Such murders/homicides are often referred to as cold cases. A retrospective study based on article reviews was conducted to explore characteristics that enhance cold case solvability, in order to determine which factors; forensic evidence or investigation technique has a larger impact on the clearance of cold case homicides. Basically, solvability factors refer to information about a case that aid in “clearing and closing” same (Moran &amp; Llc, n.d.). Cold cases and the solution to unsolved homicides have piqued the interest of numerous law enforcement organizations in recent years. However, there has been little to no research done to determine the number of cases in Ghana and the elements that contribute to effective resolutions. Law enforcement and others have been working nonstop to resolve some of these cases. This paper aims to explore the factors that promote cold case solvability, thus factors that influence the selection of cold cases for investigations with a significant degree of solving such. The study found that research literature on cold case solvability was limited, mostly outdated, and largely not supported by scientific and empirical data. Furthermore, it found that available research provided no empirical or scientific proof of specific factors that can improve or influence cold case solvability, except for proposed solvability matrixes. It concluded that there is a need for further research to close the gap in literature related to characteristics and factors of cold cases/unsolved homicides that can help investigators to solve or achieve justiciable closure to cold case homicides.
Interest-Aware Contrastive-Learning-Based GCN for Recommendation

Graph convolutional networks (GCNs) have shown great potential in recommender systems. GCN models contain multiple layers of graph convolutions to exploit signals from higher-order neighbors. In each graph convolution, the embedding of a user or item is influenced by its directly connected neighbors. Some of the main problems with this approach are as follows. First, too many graph convolutional layers make different users or items have similar embeddings. Second, the obtained interaction data have some unfavorable characteristics, such as the sparsity of the data, the noise inside the data, and the distribution skewness of the data, that may impair the model’s performance. This paper proposes an interest-aware contrastive-learning-based GCN (IC-GCN) model. IC-GCN applies an interest-aware mechanism, divides users into different subgraphs according to their interests, and performs multilayer graph convolution on the subgraphs, where all collaborative signals received from multi-hop neighbors are positive. Furthermore, IC-GCN takes the contrastive learning task as an auxiliary task, where the interest-aware encoder receives two modified graphs generated by applying the node dropout operator on the full interaction graph. These two graphs generate two sets of embeddings as two additional views of the nodes. The contrastive learning loss function compares these two sets of embeddings. Extensive experiments are conducted to demonstrate the effectiveness of our model.
The Impacts of Open Government Initiatives to Deal with COVID-19: A Learning from Local Government

Many previous studies have confirmed that collaboration and transparency are the best ways to deal with the COVID-19 pandemic.The state must involve other actors such as local governments and civil society in drafting laws, implementing COVID-19 programs, and exercising controls.This article examines the experience of the City of Semarang in applying the principles of open government in handling the COVID-19 pandemic.This article is qualitative research that combined a systematic literature review and data collected from an in-depth interview, scientific journal, report, and website related to the article's topic.This article focuses on the government city and the local civil organisation's efforts to initiate open government initiatives and implement them in its agendas to deal with the pandemic COVID-19.The article concludes that the two actors has agreed to implement open government initiatives in response to the COVID-19 pandemic as those principles has positive impacts handling the pandemic.This article also notice that various factors are still hampering the implementation of open government.For future research agenda, it is important to analysis how to deal with the obstacles.
IDCN: A Novel Interactive Dual Channel Network for Aspect Sentiment Triplet Extraction

Aspect sentiment triplet extraction (ASTE) is one of the important subtasks of aspect-based sentiment analysis, it aims at detecting the aspect terms, opinion terms, and the corresponding sentiment polarity, simultaneously. Most methods directly employ GCNs to capture the syntactic dependency information in ASTE. However, these methods may lead to error propagation. Besides, the GCN-based methods are weak at capturing sequence information and long-distance information. The general neural networks such as LSTM are good at capturing this kind of information. However, these general neural networks are weak at modeling syntactic dependency information. To alleviate the above problems, we propose a novel interactive dual channel network (IDCN) for ASTE. In IDCN, an interactive word pair generating (IWPG) module is designed to model the sequence information, long-distance dependency information, and correlation relations between word pairs, simultaneously. In the IWPG module, the dual channels can learn different representations. Based on these representations, the informative word-pair representations can be learned by the interaction mechanism of dual channels. Besides, we design the syntactic dependency fusion module to model the syntax dependency information by constructing word pair dependency relation tensors and pooling mechanism, which can naturally inject the syntactic dependency knowledge into the general neural networks and reduce error propagation. Abundant experiments have been performed on multiple datasets. The experimental results show that IDCN acquires state-of-the-art results and validates the effectiveness of IDCN.
DEVELOPMENT THE STUDY OF EFFECTIVENESS COOPERATIVE LEARNING MODEL IN CLASSROOM

This research focused on the use of the Think Pair Share technique in Students’ Writing Descriptive Text and the character development effectiveness of using the cooperative learning model in the classroom. This learning model is a kind of Development cooperative learning model to encourage students actively involved in the learning process. This research was conducted with qualitative design type library research. The instrument of this research was six articles that related to Think Pair Share for students writing skills in Descriptive text, books, and journals. The qualitative data were analyzed by data reduction, data display, and verification. The result of the research based on the implementation of each article showed that Think Pair Share was effective to helped students in writing descriptive text. It showed from the character development of effectiveness aspect that suitable to the article, such as quality of learning is marked by the success of the students to achieve the lesson goals. The appropriate level of instruction showed the ability of the teacher to ensure the readiness of each student to learn. Incentives showed the ability of the teacher to encourage students to be motivated to learn. Times setting, shown from the steps of the lesson process used.
On the use of emerging decentralised technologies for supporting software factories coopetition

Besides the recent adoption of outsourcing and open source business models, software factory is still a centralised process. In spite of the advantages of centralisation, it is widely accepted that decentralised systems are better alternatives; i.e., they are more scalable and reliable and more suitable for market sharing. The implementation of decentralised software factories demands solution of several technical challenges that conventional technology cannot solve. Emerging decentralised technologies (e.g., blockchain and smart contracts) can help to solve these challenges. Decentralised technologies are only emerging, consequently, their potential use to support software factories is a new research avenue. To cast some light on this emerging topic, in this article we provide an analysis of some centralised and decentralised architectures and raise research questions that need attention from the perspective of architecture selection. To frame the discussion, we focus our attention on software architectures for Model Driven Engineering, Asset Specifications and Integration Tools, resulting in a characterisation and analysis of possibilities for implementation of heterogeneous blockchain-oriented repositories.
Audience Engagement Prediction in Guided Tours through Multimodal Features

This paper explores the possibility to predict audience engagement, measured in terms of visible attention, in the context of guided tours. We built a dataset composed of Italian sentences derived from the speech of an expert guide leading visitors in cultural sites, enriched with multimodal features, and labelled on the basis of the perceivable engagement of the audience. We run experiments in various classification scenarios and observed the impact of modality-specific features on the classifiers.
Analysis of the Characteristics of Modern Industrial Colleges Based on the Perspective of Comparison between China and Foreign Countries

The modern industrial college is a new type of higher education institution in China, following industry-education integration and school-enterprise cooperation in the 21st century. The modern industrial college is distinct not only from practical teaching bases and industry-university-research bases in China, but also from foreign "industrial universities," "community colleges," "dual systems," etc. It possesses the organizational features of "diversified cooperation entities, diverse co-construction models, market-oriented operating mechanisms, and modernized management systems." Modern industrial colleges are equipped with "problem-oriented, task-driven, and project-based in a real or virtual simulated learning environment" learning features. The modern industrial college is not only an inevitable requirement of the development of new technologies, new industries, and a new economy for colleges and universities, but also an inevitable product of the transformation of knowledge production modes I, II, and III, with the goal of cultivating and meeting the national innovation drive, industrial upgrading, social and economic development, as well as the demand for high-quality compound application-oriented talents.
PENGARUH MEDIA FILM ANIMASI TERHADAP KEMAMPUAN MENULIS NARASI: STUDI EKSPERIMEN PADA SISWA KELAS V SD NEGERI 13 BIRU KECAMATAN TANETE RIATTANG KABUPATEN BONE

This research is a quantitative research by quasi research design quasi-experimental that aims to determine whether or not there is a significant effect of using animated film media on the ability to write narratives of fifth grade students of SD Negeri 13 Biru. The variables in this study were animated film media and the students' narrative writing skills. The research population is all fifth grade students of SD Negeri 13 Biru totaling 76 students. Saturated samples have been used, namely class VA for the experimental class and VB for the control class. The research data were obtained by giving a narrative writing test. Data collection techniques used are tests and documentation. The data analysis technique is inferential analysis using the Independent Sample T-test. The results obtained in this research is: (1) There are differences in students' narrative writing abilities between the experimental class and control class where the results of the experimental class students' narrative writing abilities are higher than the control class, (2) There was an effect of the significant use of animated film media on the ability to write narratives.
PENGEMBANGAN BAHAN AJAR BERBASIS KOMIK MATERI BENTUK ALJABAR UNTUK MENINGKATKAN LITERASI SISWA

The research results obtained are variations in the contribution of urea used as fillers is 15%. Based on this research, it can be said that diaper waste has the potential to control the release of urea. Furthermore, it can explain the rate of release of urea in chili plants. The purpose of this research is to develop comic-based teaching materials in algebraic forms to improve students' literacy skills. this research method is research and development (Research and Development). In developing teaching materials, researchers use 6 stages, namely (1) analyzing the product to be developed, (2) making comic scripts, (3) developing initial products, (4) expert validation and revision, (5) field trials and product revisions, and (6) manufacture of the final product. The subjects of this study consisted of expert validators, teachers and students of class X IPS 1 SMAN 1 Sintang which consisted of 20 people. The instruments used are validation, questionnaires, and questions. Based on the research, the results of the media and material validation have very feasible interpretation criteria of 86.36%, the teacher's response results have an interesting interpretation criterion of 75%, the results of the student response questionnaire have an interesting interpretation criterion of 79.75%. The conclusion of this research is; Mathematical literacy ability of students of class X IPS 1 SMAN 1 Sintang is high with an average value of 71.08%. Comics teaching materials can improve the mathematical literacy skills of high school students.
A study on the big data scientific research model and the key mechanism based on blockchain

Abstract In an era of open data sharing, the scientific research field puts forward an urgent need for the value of big data. However, big data still form “data islands,” which seriously affects the level of scientific research and the progress of scientific research. In this regard, this article proposes the research and realization of the big data scientific research model and key mechanism based on blockchain. This article uses the K -means algorithm to cluster scientific research data and reasonably utilizes the decentralization, smart contracts, and non-tampering characteristics of the blockchain to design a distributed data model based on the blockchain. This article proposes that a BIZi network is formed based on a blockchain Interplanetary File System (IPFS) and Zigzag code (blockchain, IPF Sand Zigzag code, BIZi for short) to achieve reliable data connection and through a set of data access control mechanisms and data service customization mechanism to effectively provide data requirements for scientific research. Finally, IPFS network transmission speed performance can better meet the needs of scientific research. The larger the number of file blocks, the higher the fault tolerance rate of the scheme and the better the storage efficiency. In a completely open data-sharing scenario, the fault tolerance rate of Byzantine nodes is extremely high to ensure the stability of the blockchain. The current optimal consensus algorithm fault tolerance rate reaches 49%.
Improving the Stability of Underwater Image Recovery via Multi-stage Integrating Enhancement

Currently, disintegrating the overall processing into manageable sub-modules delivers significant gains in recovering the quality of drastically degraded underwater images. A key ingredient for well-posed performance in such recovery is the tight integration of different sub-modules. Herein, a multi-stage integrating method is proposed, which formulates an objective function to integrate an in-situ enhancement and a data-driven correction. Algorithmically, the in-situ enhancement, generating accurate textural features based on scene-relevant information, is employed as a sub-function of the objective function to train the data-driven correction. The computation of the objective function embeds the enhanced scene-relevant information into data information. Under the supervision of integrated information, the data-driven correction shows a stable performance in correcting the contextual features of textually enhanced results. Experimental results demonstrate that the recovery of the method is efficient and stable in response to drastic degradations.
Perbaikan Instalasi dan Pemasangan Lampu Penerangan Masjid Kampung Kiat, Distrik Fakfak Barat

Electrical installation is one way to distribute electricity from the generating center to the load center. The occurrence of fires due to electricity can be caused by several things, including installations that are not in accordance with PUIL standards, irregular maintenance and the use of sockets that accumulate. This is what encourages lecturers and students of the electrical engineering study program at the Fakfak State Polytechnic to carry out a service to repair the installation and installation of mosque lighting in the village of Tips, West Fakfak district. Based on the results of this service, electrical installations have been repaired in accordance with the provisions of the PUIL standard, followed by the installation of lighting on the terraces and prayer rooms. The mosque terrace lighting only uses one switch. This aims to make it easier when turning on the mosque terrace lights.