Reviewerly/exHarmony huggingface dataset:
Postcumulus processes recorded in whole-rock geochemistry: a case study from the Mirabela layered intrusion, Brazil

Abstract According to the “trapped liquid” paradigm, whole-rock chemical compositions of cumulate rocks in layered intrusions can be represented as closed-system multicomponent mixtures of the cumulus phases and the liquids from which they crystallised. Alternative open-system models for cumulate solidification assert that intercumulus liquid is continuously mobile as a result of compaction of crystal mushes. In the closed-system models, all excluded elements, i.e. those incompatible in the cumulus phases, should be correlated with one another, whereas in open systems the more incompatible elements should be decoupled from the more compatible ones and correlations should be poor. These alternative hypotheses are tested using a database of more than 63,000 whole-rock analyses of mostly ultramafic cumulates from a single package of layers across the entire width of the Mirabela layered intrusion, a 2.5 km wide by &amp;gt;2 km thick intrusion with Great Dyke-like stratigraphy. Variably compatible elements Al, Na, Ti and P are found to show strong correlations with one other in olivine-pyroxene cumulates across the spectrum from mesocumulate to orthocumulate rocks, where drill-core sample intervals are composited over 3m; weaker correlations are found over 1m sample intervals. The closed-system trapped liquid model is robust for this suite of rocks at the scale of 3m lengths of drill core (approx. 1 kg of sample). Furthermore, a very smooth and symmetrical variation is observed from dominantly ad- to mesocumulate rocks in the geometrical centre of the intrusion towards orthocumulates at both margins, attributable to increase in cooling rate towards the margins. The most adcumulate rocks are gabbronorites at the base of the mafic sequence in the centre of the intrusion. There is no corresponding decrease in layer thickness towards the centre that would be predicted by a compaction model. The only incompatible element showing partial decoupling is K, which appears to have been mobile at a very late stage, probably in an aqueous fluid phase. There is no evidence for mobilisation of PGEs or other chalcophile elements by this fluid despite the presence of disseminated sulfide throughout the sampled interval.
Overview of JN.1 the variant of interest: strengths, weaknesses, opportunities, and threats analysis

Amidst the ongoing global battle against the COVID-19 pandemic, the World Health Organization (WHO) emphasizes monitoring variants of interest (VOIs) of the SARS-CoV-2 virus. The JN.1 variant, initially considered within the framework of BA.2.86, has rapidly gained global prevalence, prompting its reclassification as an independent VOI. This study assesses the strengths, weaknesses, opportunities, and threats (SWOT) analysis of the JN.1 variant. A literature review from PubMed, and expert opinions from newspaper articles were utilized for information collection. The study incorporates a comprehensive SWOT analysis, associated with the JN.1 variant. The JN.1 variant's global dominance is marked by exponential increases in COVID-19 cases, impacting healthcare systems. While strengths include global guidance, vaccine effectiveness, and a robust surveillance system, weaknesses encompass wastewater analysis, seasonal impacts, and immune escape capabilities. Opportunities lie in continuous vaccination campaigns, monitoring, research, vaccine adaptation, and adaptive strategies. Threats include co-circulation with respiratory diseases, lower antibody responses, and potential global spread. The study underscores the importance of clear public communication, continuous surveillance, and research efforts in addressing the challenges posed by the JN.1 variant. Recommendations include assessing vaccine effectiveness, updating strategies and fostering global collaboration for a more effective response.
Multi-Modal Deep Learning based Metadata Extensions for Video Clipping

General video search and recommendation systems primarily rely on metadata and personal information. Metadata includes file names, keywords, tags, and genres, among others, and is used to describe the video's content. The video platform assesses the relevance of user search queries to the video metadata and presents search results in order of highest relevance. Recommendations are based on videos with metadata judged to be similar to the one the user is currently watching. Most platforms offer search and recommendation services by employing separate algorithms for metadata and personal information. Therefore, metadata plays a vital role in video search. Video service platforms develop various algorithms to provide users with more accurate search results and recommendations. Quantifying video similarity is essential to enhance the accuracy of search results and recommendations. Since content producers primarily provide basic metadata, it can be abused. Additionally, the resemblance between similar video segments may diminish depending on its duration. This paper proposes a metadata expansion model that utilizes object recognition and Speech-to-Text (STT) technology. The model selects key objects by analyzing the frequency of their appearance in the video, extracts audio separately, transcribes it into text, and extracts the script. Scripts are quantified by tokenizing them into words using text-mining techniques. By augmenting metadata with key objects and script tokens, various video content search and recommendation platforms are expected to deliver results closer to user search terms and recommend related content.
Advancements in Artificial Intelligence for Games

Abstract: Interactive entertainments using AI have become possible due to merging AI with games. The paper explores in-depth multi-dimensional relations among AI in gaming, including Game AI, Adaptive Gameplay, and ML in VE. The study intends to investigate how the current AI in games landscape impacts gameplay dynamics and customer experience. The paper discusses the latest approaches such as AI-driven NPCs and procedural generation of content that transforms gameplay experience. Secondly, it analyzes how machine-learning can help in designing adaptable gaming situations to satisfy different tastes and skills players. Further, this study identifies trends and envisages future breakthroughs in AI in gaming. This work aims at addressing challenges and ethical issues associated with artificial intelligence and virtual environment domain in order to understand where is future heading for gaming experience.
Actor-network interpretation of phenomena and current issues of education: The historicist grounds and specificity

Introduction. The research analyzes the changes of ontological and methodological grounds of the philosophy of education in the modern world. The aim of the research is to identify the historicist grounds and specificity of the actor-network interpretation of phenomena and current problems in education. Materials and Methods. The study employs complex and interdisciplinary approaches. The data sources for this problematic research include the latest scholarly publications, tending to apply actor-network theory in the field of pedagogy and philosophy of education and published in academic journals between 2000 and 2023. The typologisation and comparative methods, along with contextual and textual analysis are used in order to analyze contemporary discussions in this field. Results. Based on the most recent studies, this work reveals the grounds and identifies the specificity of actor-network interpretation of some educational phenomena and problems. During the research the basis of actor-network pedagogy is revealed as historicist ontology, which overcomes the opposition between classical historicism and relativism. The article demonstrates how the reconsideration of ontological and methodological foundations influences the building of terminological glossary of the philosophy of education. The concept of ‘educational spatiality’ is contextualized, which in its turn, makes it possible to analyze a network of educational practices as a complex. Apart from that, the potential of using the tools of the actor-network theory is characterized in a context of research of different educational models from a historical perspective, in materially and contextually heterogeneous networks. It is also claimed that due to its multidisciplinary nature, the actor-network theory can be successfully used to problematize educational phenomena and develop specific teaching strategies. Conclusions. It is demonstrated that actor-network theory, due to its reliance on a new model of historicism, can provide a multidisciplinary orientation of pedagogy and its lability in relation to the modern situation.
The Role of Cyberpsychology in the Context of Digital Marketing

The widespread use of the internet and digital technology is revolutionizing consumer interactions with the business world. This necessitates marketers to grasp how psychological factors influence behavior in the virtual realm, a facet that can be explored through the field of cyberpsychology. Cyberpsychology offers insights into human interactions with the digital world, paving the way for personalized marketing content and a profound understanding of consumer preferences. This study aims to elucidate the role of cyberpsychology in the context of digital marketing, providing additional insights into efforts to optimize business strategies in the digital realm. The research employs a literature review method sourced from online platforms. The results indicate that a deep understanding of the relationship between cyberpsychology and digital marketing has unveiled the complexity of human interactions in the digital sphere, the dynamics of consumer behavior, and the pivotal role of color psychology and design in crafting successful digital marketing campaigns. The implications of these findings can offer valuable guidance for marketers to enhance consumer engagement, comprehend market preferences, and devise more effective marketing strategies amidst the evolving challenges of the digital era.
PROMISING DEVELOPMENTS AND SCIENTIFIC TECHNOLOGICAL ACHIEVEMENTS IN GEOLOGICAL EXPLORATION IN THE MIDDLE EAST REGION

Technological and economic trends in the development of the oil and gas industry form promising directions for the development of geological research, oil and gas fields development and hydrocarbons production. Currently, in the world oil and gas production practice, there is a tendency to increase the share of involvement in the hard-to-reach and hard-to-recover reserves development, which results in the cost of geological exploration increasing. It is important to minimize these costs by improving existing and developing new technological solutions. Increasing the efficiency and knowledge intensity of new technologies being introduced is the most promising strategy for exploration activities, oil and gas fields development and exploitation.The current conditions for the exit of most foreign companies from the Russian sector of the oil and gas industry, including the search for potential oil locations, require the development or maintenance at the proper level of own innovative and knowledge-intensive solutions that ensure the further systematic development of the geological exploration sector. A potential vector in this direction could be technology transfer from foreign countries, including most of the Middle East and North Africa countries. The innovative activities of up stream in these countries (including in terms of geological exploration) determine the trends in the development of international geological exploration technologies, as well as potential foreign companies for the systematic institutionalization of mutually beneficial relations between Russian and foreign oil businesses.Saudi Arabia, Israel and Iraq companies develop promising innovative solutions for the oil and gas industry exploration sector, including attracting foreign technologies to their market. Saudi Arabian companies are the most active companies with a significant increase in the number of innovative technologies. The main focus of the innovative solutions developed by these companies for the geological exploration sector is: improving methods of laboratory and geophysical research, improving the quality of seismic exploration, as well as introducing mathematical modeling modern trends in geological exploration.
Dynamic Range Compression of Infrared Images Based on Histogram Equalization with Edge Inversion

The problem of compression of the dynamic range of infrared images is considered. To improve the quality of tone mapping of infrared images when their dynamic range is compressed and to simplify the control over the reproduction characteristics of infrared images, a dynamic range conversion algorithm based on adaptive histogram equalization with edge inversion is proposed. The essence of the algorithm consists in double reduction of the dynamic range of the infrared image with intermediate stretching, compression and overlapping of edges with inversion. To select the brightness interval and the degree of its stretching, the proposed algorithm uses the asymmetry coefficient. The algorithm makes it possible to improve some global and interval indicators of image reproduction quality by superimposing the edges of the histogram.
THE INFLUENCE OF TEACHERS' DIGITAL LITERACY ON STUDENTS' BLENDED LEARNING

With the rapid development of information technology, a single way of learning can not meet the learning needs of students, blended learning came into being. Digital education has been placed in an increasingly prominent position. The cultivation and improvement of teachers' digital literacy should keep pace with the times, adapt to the needs of the development of the times, and improve the effectiveness of blended learning.The purpose of this study is to explore the framework of influencing students' blended learning, to examine the current situation of influencing students' blended learning, and then to explore the relationship between various factors influencing blended learning. The research question of this article is: The impact of teachers’ digital literacy, policy support and students’ self-perception on blended learning First of all, this paper will understand the current situation of blended learning through literature review, and then carry out questionnaires, interviews and research through reasonable assumptions. This article will further analyze the potential influencing factors of blended learning, including teachers’ digital literacy, policy support and students’ personal perceptions, and provide preliminary basic research for future investigations.
COMPARISON OF GRAMMAR INTERVENTION PBLAND PBL IN JUNIOR MIDDLE SCHOOL ENGLISH READING

&#x0D; &#x0D; &#x0D; &#x0D; This paper compares the effectiveness of grammar intervention problem-based learning (GIPBL) and problem-based learning (PBL). PBLis a constructivism-based popular teaching pedagogy previously used in medical education, then widely applied in other fields of education, including junior high school English reading teaching. However, researchers of Scaffolding learning theory argue that grammar intervention PBL (GIPBL) is more suitable for Junior high students in English reading courses. To compare the effect of GIPBL and PBL on satisfaction and learning process in junior high school Grade 3 students, this study does a quasi-experimental study in Jiangyou Foreign Language Experimental School in Sichuan Province, China. The participants include 120 students of grade 8 in two different classes in Junior High School. Experimental and control groups are designed.The practical class is taught in GIPBL,and the control class is taught in PBL. Both classes are about learning English reading, an integral part of the English course.Pretest and post-test were applied. The instruments were a demographic questionnaire,reading test and satisfaction questionnaire. The result shows that students' reading comprehension scores in GIPBL are better than those of the control group. GIPBL broadens the implementation of PBL in practice. There was more satisfaction with GIPBL. 82% of students thought GIPBL was a more acceptable and effective teaching method. The result shows that Grammar Intervention PBL suits junior and middle school students in English reading courses.&#x0D; &#x0D; &#x0D; &#x0D;
Innovative Stripe Noise Image Correction Method for Remote Sensing

Unmanned SystemsAccepted Papers No AccessInnovative Stripe Noise Image Correction Method for Remote SensingSid Ahmed Hamadouche, MasterAyoub Boutemedjet, and Azzedine BouarabaSid Ahmed Hamadouche, Ayoub Boutemedjet Search for more papers by this author , and Azzedine Bouaraba Search for more papers by this author https://doi.org/10.1142/S2301385025500335Cited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 12 October 2023 Accepted 27 February 2024 PDF download
ANALISIS STRATEGI PENDIDIK TERHADAP PENGEMBANGAN KARAKTER SISWA DI ERA DIGITAL

Character education is an effort to instill religious, ethical and moral values ​​in students through science, with the help of parents, teachers and the community. This is very important for the formation and development of students' personalities. All children are born with extraordinary potential. However, to exploit this potential, they need proper learning and socialization. Each child's personality will be formed and develop optimally. In this digital era, children have easy access to digital media. This digital era, which has positive and negative influences, is the responsibility of teachers, parents and instructors. Therefore, it is the duty of teachers, parents and the adult community to monitor and control children's use of digital media
Effects of Browsing Conditions and Visual Alert Design on Human Susceptibility to Deepfakes

The increasing reach of deepfakes raises practical questions about people’s ability to detect false videos online. How vulnerable are people to deepfake videos? What technologies can help improve detection? Previous experiments that measure human deepfake detection historically omit a number of conditions that can exist in typical browsing conditions. Here, we operationalized four such conditions (low prevalence, brief presentation, low video quality, and divided attention), and found in a series of online experiments that all conditions lowered detection relative to baseline, suggesting that the current literature underestimates people’s susceptibility to deepfakes. Next, we examined how AI assistance could be integrated into the human decision process. We found that a model that exposes deepfakes by amplifying artifacts increases detection rates, and also leads to higher rates of incorporating AI feedback and higher final confidence than text-based prompts. Overall, this suggests that visual indicators that cause distortions on fake videos may be effective at mitigating the impact of falsified video.
Leadership Skills of Industrial Robot Specialization: Chinese Educators’ Reference to Professional Training

Every teacher strives to exercise leadership and develop the skills of young students in order to succeed in school. An increasing number of frontline teachers say they must be more competent in teacher leadership. This descriptive study aims to investigate the leadership skills of Chinese educators handling students in Industrial Robotics. A total of 150 teachers specializing in industrial robots will participate in the study. Descriptive findings will be based on the findings that the views of industrial robotics professional teachers on faculty leadership which will be discussed.
PELATIHAN DIGITAL MARKETING UNTUK MENINGKATKAN KINERJA PELAYANAN HAPUS TATO PRO CARE

Promotion is an activity that aims to inform, influence, and influence consumer attitudesand behavior so that they are interested in and buy the products or services offered. In itsapplication, promotion has many methods including direct promotion or calledconventional promotion. Conventional promotion refers to promotion methods orstrategies that have long been used before the digital era or have not utilized informationtechnology. Promotion by utilizing information technology also known as digital marketingis an innovation in the marketing process promotional activities that involve the use oftechnology and digital platforms to achieve marketing goals to expand and enhancetraditional marketing functions.‘Hapus Tato Pro Care’ have constraints that have notmaximized the use of information technology in the promotion of tattoo removal servicesand the limited reach of targeting in the promotion of tattoo removal services. Byconducting training and being guided in creating content that will be used as promotionalmedia. In addition, participants will be guided to create captions and keywords used onsocial media to attract the attention of other social media users, participants gain skills inmanaging social media and doing graphic design better.
Financial markets and economic growth

Journal of Applied Corporate FinanceEarly View REPRINT Financial markets and economic growth Merton H. Miller, Corresponding Author Merton H. Miller [email protected] University of Chicago, Chicago, USA Correspondence Email: [email protected]Search for more papers by this author Merton H. Miller, Corresponding Author Merton H. Miller [email protected] University of Chicago, Chicago, USA Correspondence Email: [email protected]Search for more papers by this author First published: 28 February 2024 https://doi.org/10.1111/jacf.12585 Merton H. Miller, “Financial Markets and Economic Growth,” Journal of Applied Corporate Finance, Vol. 11 No. 3 (Fall 1998). The article is reprinted in this issue. The original version of this article was presented at the Conference “Creating an Environment for Growth,” in Stockholm, 11–June 12, 1998. My thanks for helpful comments from my colleague Anil Kashyap. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Early ViewOnline Version of Record before inclusion in an issue RelatedInformation