Reviewerly/exHarmony huggingface dataset:
Application of Artificial Intelligence in Banking and Finance : Bibliometric Review and Emerging Research Agenda

Artificial Intelligence (AI) has been growing at the fastest pace during the last few decades. It has affected all sectors directly or indirectly. The application of AI is getting more mature with the passage of time and the banking sector is adopting it intensively. Existing literature in the subject is scattered across all regions of the world. The purpose of this study is to understand major contributions of researchers, subject experts, and the sources along with countries that are actively involved in the area of research. To do the bibliometric study, systematic review of 756 documents published from 1972 to 2021 in Scopus database has been used as it is the largest of all databases available. With this bibliometric analysis, it was found that the USA, China, UK, India, and Taiwan have been the major countries in making extra efforts continuously for unfolding the new possibilities of Artificial Intelligence in the banking and finance sector.
DWT-Based Digital Watermarking for Various Attacks

In the domain of intellectual property protection, the embedding of digital watermarks has emerged as a pivotal technique for the assertion of copyright, the conveyance of confidential messages, and the endorsement of authenticity within digital media. This research delineates the implementation of a non-blind watermarking algorithm, utilizing alpha blending facilitated by discrete wavelet transform (DWT) to embed watermarks into genuine images. Thereafter, an extraction process, constituting the inverse of embedding, retrieves these watermarks. The robustness of the embedded watermark against prevalent manipulative attacks, specifically median filter, salt and pepper (SAP) noise, Gaussian noise, speckle noise, and rotation, is rigorously evaluated. The performance of the DWT-based watermarking is quantified using the peak signal-to-noise ratio (PSNR), an objective metric reflecting fidelity. It is ascertained that the watermark remains tenaciously intact under such adversarial conditions, underscoring the proposed method's suitability for applications in digital image security and copyright verification.
Educational Service Model for The Special Intelligence and Special Talents of Students: Literature Review

Children with special intelligence and special talents are those who have above average intelligence, have faster memory and comprehension abilities compared to their friends. Thus, children in this category have many achievements; apart from that they also have the characteristics of self-confidence and perfectionism. Children with special intelligence and special talents certainly have intelligence or ability in one area that stands out the most. This research uses a literature review or literature review design, by examining 18 articles consisting of national and international articles related to service models for students with special intelligence and special talents. From the articles, it was found that the education service model for special intelligent children and special talents in several countries is the inclusive and accelerated model.
Knowledge visualization: AI integration with 360-degree dashboards

The main intention of visualization is to enhance the ability of understanding and creating a new vision of the problem given. This chapter focuses on knowledge visualization. With technology advancements, visual images play a major role in representing data. We will cover different tools and technologies to gather visual data and how to convert it into a knowledge-level presentable form.
Advancements of XAI in healthcare sector

Artificial intelligence (AI) has undoubtedly been a center for the latest advancements and has brought about significant developments in the medical field. However, the healthcare practitioners&apos; and researchers&apos; desire for an interpretation of the system&apos;s predictions based on the health statistics acquired through advanced machine learning models did not meet. So, the study of eXplainable AI (XAI) has been pursued through science establishment to give justifications for machine predictions and assure accuracy in the sophisticated medical framework. Because depending on artificial conclusions to rescue the health of an individual without an adequate knowledge of the underlying logic is unacceptable. Before applying the results to the patient, XAI helps the medical domain crew understand the reasons and keep the conclusions in check for a better cause. In this book chapter, we will emphasize the motives for espousing XAI in the medical domain and examine the basic principle behind it, as well as how it might help to dependent AI-based solutions in healthcare.
The MapReduce based approach to improve the all-pair shortest path computation

When building sequential algorithms for problems on the graphic network, the algorithms themselves are not only very complex but the complexity of the algorithms also is very big. Thus, sequential algorithms must be parralled to share work and reduce computation time. For above reasons, it is crucial to build parallelization of algorithms in extended graph to find the shortest path. Therefore, a study of algorithm finding the shortest path from a source node to all nodes in the MapReduce architectures is essential to deal with many real problems with huge input data in our daily life. MapReduce architectures processes on (Key, Value) pairs are independent between processes, so multiple processes can be assigned to execute simultaneously on the Hodoop system to reduce calculation time
Development and Research of a System for Automatic Recognition of the Digits Yemeni Dialect of Arabic Speech Using Neural Networks

The article describes the results of research on the development and testing of an automatic speech recognition system (SAR) in Arabic numerals using artificial neural networks. Sound recordings (speech signals) of the Arabic Yemeni dialect recorded in the Republic of Yemen were used for the research. SAR is an isolated system of recognition of whole words, it is implemented in two modes: "speaker-dependent system" (the same speakers are used for training and testing the system) and "speaker-independent system" (the speakers used for training the system differ from those used for testing it). In the process of speech recognition, the speech signal is cleared of noise using filters, then the signal is pre-localized, processed and analyzed by the Hamming window (a time alignment algorithm is used to compensate for differences in pronunciation). Informative features are extracted from the speech signal using mel-frequency cepstral coefficients. The developed SAR provides high accuracy of the recognition of Arabic numerals of the Yemeni dialect – 96.2 % (for a speaker-dependent system) and 98.8 % (for a speaker-independent system).
“Da stelle ma uns mal janz dumm”

Who wouldn’t know the cinematic movie Die Feuerzangenbowle (1944) with Heinz Rühmann? Characters such as Professor Crey (Schnauz), Professor Bömmel, Dr. Brett and Professor Knauer depict teacher types that can still make the audience smile today. This film is an integral part of popular culture in Germany. In this contribution, the most important media in this multimedia network will be analysed and compared: the novel, Die Feuerzangenbowle (1933) by Heinrich Spoerl (and Hans Reimann); his first film version So ein Flegel (1934); the second film adaptation Die Feuerzangenbowle (1944); and the third adaptation Die Feuerzangenbowle (1970, directed by Helmut Käutner). The theoretical basis for the analysis of this multimedia collection is the media as a compact concept term of Siegfried J. Schmidt. It justifies taking into account the production contexts, in particular those people involved in the production and their interests, and evaluating media on a theoretical basis. This allows uncovering the dynamics of the exponential spread of the material, which allows to explain how Die Feuerzangebowle became a cultural treasure and how values, norms and ideologies were passed on. Schmidt’s central thesis is that the results of the process incorporate the conditions of the particular media system as specific characteristics – and that this can be shown in this particular example of a media collection. The second film, in particular, came into the world like the head of Janus. On the one hand, this film is a masterpiece in the media collection. On the other hand, one must ask oneself to what extent this film, which came into existence during the Nazi dictatorship, is really as innocent as it appears.
Parallel Verification of Natural Deduction Proof Graphs

Graph-based interactive theorem provers offer a visual representation of proofs, explicitly representing the dependencies and inferences between each of the proof steps in a graph or hypergraph format.The number and complexity of these dependency links can determine how long it takes to verify the validity of the entire proof.Towards this end, we present a set of parallel algorithms for the formal verification of graph-based natural deduction (N D ) style proofs.We introduce a definition of layering that captures dependencies between the proof steps (nodes).Nodes in each layer can then be verified in parallel as long as prior layers have been verified.To evaluate the performance of our algorithms on proof graphs, we propose a framework for finding the performance bounds and patterns using directed acyclic network topologies (DANTs).This framework allows us to create concrete instances of DANTs for empirical evaluation of our algorithms.With this, we compare our set of parallel algorithms against a serial implementation with two experiments: one scaling the problem size and the other scaling the number of threads.Our findings show that parallelization results in improved verification performance for certain DANT instances.We also show that our algorithms scale for certain DANT instances with respect to the number of threads.
THE ROLE OF DUOLINGO APPLICATION TO IMPROVE STUDENTS’ VOCABULARY MASTERY AT JUNIOR HIGH SCHOOL IN ACADEMIC YEAR 2023/2024

ABSTRACT&#x0D; Learning is essential; we must comprehend technology in today's fast-paced technological society. Regarding education, it is very simple for us to learn a new language using our cell phones. Duolingo is a language-learning program that allows students to learn English through translation, comparing, dictation, fill-in-the-blank, speaking, listening, multiple choice, and competition. Therefore, this research analyses the implementation of Duolingo in language learning and its potential for facilitating the full development of the English language. The study discovered that using the Duolingo application was highly successful at strengthening students' interest in learning English: two classes, each containing 30 students who participated. Two groups, the experimental class and the control class, are involved in this investigation. Based on this study, Duolingo is an app where any newcomer can begin learning an additional language because it encourages them to keep learning. &#x0D; Keywords: Duolingo application; Vocabulary, Educational Language Tool
Transmission of light–matter entanglement over a metropolitan network

We report on the transmission of telecom photons entangled with a multimode solid-state quantum memory over a deployed optical fiber in a metropolitan area. Photon pairs were generated through spontaneous parametric downconversion, with one photon stored in a rare-earth-based quantum memory, and the other, at telecommunication wavelengths, traveling through increasing distances of optical fiber, first in the laboratory and then outside in a deployed fiber loop. We measured highly non-classical correlations between the stored and the telecom photons for storage times up to 25 µs and for a fiber separation up to 50 km. We also report light–matter entanglement with a two-qubit fidelity up to 88%, which remains constant within error bars for all fiber lengths, showing that the telecom qubit does not suffer decoherence during the transmission. Finally, we moved the detection stage of the telecom photons to a different location placed 16 km away, and confirmed the non-classical correlations between the two photons. Our system was adapted to provide the transmission of precise detection times and synchronization signals over long quantum communication channels, providing the first steps for a future quantum network involving quantum memories and non-classical states.
Quantum Gates for Electronics Engineers

The design of a solid-state quantum processor is nowadays a hot research topic in microelectronics. Like the logic gates in a classical processor, quantum gates serve as the fundamental building blocks for quantum processors. The main goal of the present paper is to deduce the matrix of the main one- and two-qubit quantum gates from the Schrödinger equation. The mathematical formalism is kept as comfortable as possible for electronics engineers. This paper does not cover topics such as dissipations, state density, coherence, and state purity. In a similar manner, this paper also deals with the quantum nature of a quantum processor by leveraging the concept of a finite-state machine, which is a background notion for any electronics engineer.
DIGITAL TRANSFORMATION IN MASTER’S PROGRAMS

The Covid-19 pandemic has accelerated the need for successful digital transformation in master's programs, particularly in the realm of e-learning. This article explores the importance of a needs-centered approach in navigating this transformational journey amidst the challenges posed by the pandemic. By understanding and addressing the evolving needs of students in a remote learning environment, educational institutions can effectively leverage digital technologies to deliver high-quality education. The article presents a comprehensive framework for digital transformation, emphasizing the evaluation of student needs and objectives as the starting point. Strategic planning, resource allocation, and timeline development are crucial for the seamless integration of digital tools into the curriculum, taking into account the unique challenges imposed by the pandemic. Faculty and staff training and development play a pivotal role in equipping educators with the skills necessary to facilitate effective online instruction. The adoption of suitable technologies and platforms is explored within the context of e-learning, considering factors such as scalability, security, and user experience. The needs-centered approach highlights the importance of personalized learning experiences to cater to individual student requirements, ensuring engagement and achievement in the virtual classroom. Continuous monitoring, evaluation, and improvement are paramount during the digital transformation process, particularly in the context of the pandemic. Gathering feedback from students and educators allows institutions to adapt and refine their digital initiatives to optimize learning outcomes. Effective change management strategies, including clear communication, robust support systems, and stakeholder engagement, help navigate the challenges presented by the sudden shift to remote learning. In conclusion, a needs-centered approach is crucial for successful digital transformation in master's programs, especially in the face of the covid-19 pandemic. By prioritizing student needs, aligning strategies with remote learning requirements, and leveraging digital tools effectively, educational institutions can ensure the continuity and quality of education. This article provides insights and guidance for institutions seeking to navigate the digital transformation journey in the context of Covid-19, empowering them to deliver exceptional e-learning experiences and prepare students for the future of education.
Sports Production Through AI-Powered Sports Action Tracking and PTZ Cameras

Consumer expectation when it comes to the viewing experience is often based on watching tier 1 sports productions. In response, sports programmers are searching for solutions that deliver an engaging experience at a cost that is in line with the available budget. Artificial intelligence (AI)-driven sports production solutions have been available for some time. But to date, the ability to accurately track sporting action combined with visual clarity has been a challenge. This article describes how a panoramic camera system can be implemented to monitor the entire field of play, to feed an AI system that identifies the sporting action. Furthermore, how the AI engine can drive a high-quality pan-tilt-zoom (PTZ) camera to follow the action to deliver the program feed is also described. The article also discusses how the AI engine can accurately point the PTZ camera—taking into account video and AI processing delays, how those processing latencies can be measured, to forward-predict directional vectors and correctly point the program feed camera irrespective of distance from the camera and the variation in angular velocity realized.
Data Security and Protection

Greater the dependency on computers and other digital devices, greater is the potential risk of data theft and loss. Databases are one of the important valuable assets of any organisation. The present paper analyzes the concept of data protection, breach of data security, significance of data protection, and ways to safeguarding the data. The protection laws prevailing in India and need of implementing a comprehensive legal backup is discussed in the present paper.
Comparative Study of Mass Density According to BI-RADS Mammography between Histopathological Grading in Breast Cancer

Background: Breast cancer often presents with signs such as high-density masses. The description of high-density masses remains controversional as a descriptor of malignancy. Histopathological assesment, including the Nottingham Grading System, is considered the gold standard for determining the definitive diagnosis of cancer. Objective: To determine the comparative study of mass density according to BI-RADS mammography and histopathological grading in breast cancer at Dr. Soetomo Hospital Surabaya January 2017 – December 2021. Methods: This study compares mammography medical records of breast cancer diagnoses in patients from January 2017 – December 2021 at Dr. Soetomo Hospital Surabaya, based on histopathology. Its an analysis study focused on observational and comparisons. Results: The number of cases according to breast cancer inclusion data was 261 data. Breast cancer patients were predominantly in the age group of 50 – 54 years (20.3%) and the majority of masses were found in the right breast (53.3%). The most common type of mass density was high density (46.7%) and the most frequent histopathological grading was grade 3 (51.3%). The comparison of age between mass densities showed a p-value of 0.71 (p > 0.05), while the comparison of mass densities between histopathological grading had a p-value of 0.058 (p > 0.05). Conclusion: Most breast cancer patients at Dr. Soetomo Hospital Surabaya from January 2017 – December 2021 were aged 50 – 54. High density masses were common and grade 3 was the highest histopathological grade. Age didnt differ much between equal and high density masses. The same applied to mass density among histopathological grading.
Systematic Forecasting and Meta-Analysis of Learners' Numeracy and Literacy Status in Selected Divisions of Region IV-A CALABARZON, Philippines

To commensurate with the two-year educational lag brought about by COVID-19, DepEd Order 34 of 2022 (5 days in-person classes) and DepEd Order 14 of 2023 (implementation of National Learning Camp) were signed. This study aimed in constructing a projection of the status of numeracy and literacy skills of learners in selected divisions of DepEd Region IV-A CALABARZON Philippines for the next years to come. The data came from six divisions who positively responded to the study proposal. Data gathered was through Google Form distributed to school heads accompanied by informed consent and Division indorsements. Having the data for five consecutive previous years constituted the elements for systematic forecasting. It was found out that school size, curricular classification and OPCRF rating significantly affect Mathematics MPS (p-values 0.001, 0.005 and 0.011). On the other hand, only school size and curricular classification significantly affect English MPS (p-values 0.049 and 0.043). Meanwhile, student related factor and English MPS are significantly correlated with each other (p-value 0.016). As the historical pattern behaves in linear fashion, it was predicted using linear regression that in the year 2028, Mathematics MPS for Key Stage 1 is 82.102, KS2 is 81.952, KS3 is 77.927, and KS4 is 72.287. While for English, it was predicted that in the year 2028, KS1 will have MPS of 81.357, KS2 is 81.481, KS3 is 71.347, and KS4 is 81.467. Recommended projects are laid down at the end of the study to alleviate the effect of pandemic to learners numeracy and literacy skills.
The Role of Perspective Schematic System in Meaning Construction in Khushwant Singh’s Train to Pakistan

The paper examines Perspective Schematic System as one of the five constituting concept structuring categories to find out what is the role of this system in meaning construction process, especially at sentence level. It also attempts to know why, when and how the speakers resort to the components of this system in discourse. The study data is taken from Khushwant Singh’s Train to Pakistan novel and analysed within Talmy’s perspective schematic system model via using introspection method. The analysis showed that this system is pervasive in present and past tenses sentences, and compound, aspectually completed and progressive sentences. Also in organising the structure of the content meanings provided by the open-class subsystem, the majority of the sentences inevitably require this system to construct their meaning. The study has concluded that all the categories of this system are expressed by closed-class subsystem, grammar. The study has also come to the conclusion that this system categories are resorted to when speakers would like to or have to select how to mentally conceptualise and scan a scene or the referent entity in terms of location, distance, mode and direction of viewing among category member options. And then depicted it in language via closed-class subsystem for a situationally and contextually intended purpose.
PERANCANGAN SISTEM INFORMASI PERSEDIAN BAHAN BAKU DI PT SINAR SAKTI MATRA NUSANTARA

The supply of materials is a very important part in a business, it aims to help the companies improve or provide the maximum service to costumers, and therefore the use of the fast information system entry and exit of materials needed by the company, time and accuracy in the sense of the information is required for the processing.&#x0D; The study was aiming to learn what is happening in the company and it is the anticipation to prevent the worst thing. The problem solution above solved by using waterfall method which using tools like a document flow diagram, context diagram, data flow diagrams, and database design using entity relation diagram, normalization and relation table. Meanwhile the data collection method used is the method of collecting primary data that source using the method of observation and interview while secondary data sources taken from the library data.&#x0D; The material supply information system is built as a solution of the problems that arise when the system is still using manually. The information system material supply is capable to processing data quickly, it can shorten the search process of the data and supporting the service needs precise and accurate information for the company.&#x0D; Keywords: Materials Stocks, Structured, Information System