Reviewerly/exHarmony huggingface dataset:
Efficient Speech Translation with Dynamic Latent Perceivers

Transformers have been the dominant architecture for Speech Translation in recent years, achieving significant improvements in translation quality. Since speech signals are longer than their textual counterparts, and due to the quadratic complexity of the Transformer, a down-sampling step is essential for its adoption in Speech Translation. Instead, in this research, we propose to ease the complexity by using a Perceiver encoder to map the speech inputs to a fixed-length latent representation. Furthermore, we introduce a novel way of training Perceivers, with Dynamic Latent Access (DLA), unlocking larger latent spaces without any additional computational overhead. Speech-to-Text Perceivers with DLA can match the performance of Transformer baselines across three language pairs in MuST-C. Finally, a DLA-trained model is easily adaptable to DLA at inference, and can be flexibly deployed with various computational budgets, without significant drops in translation quality.
A Spatio-Temporal Decomposition Network for Compressed Video Quality Enhancement

Compressed video quality enhancement has always been a widely concerned research. However, existing methods rarely build models from the consideration of object motion diversity and feature frequency distribution. In this paper, we propose a Spatio-Temporal Decomposition Network (STDN) to reduce the compressed distortion with motion classification and frequency separation. In the temporal domain, a novel deformable convolution is designed to estimate the various motion offsets of different categories objects, and then the adjacent frame features would be accurately fused with them. In the spatial domain, a frequency decomposition module is first proposed to decompose the features of different frequencies and process them with appropriate precision. Experiments show that our method can surpass all the existing methods in both of subjective and objective aspects, and achieve the performance of state-of-the-art.
Evolution of Low - Power Blockchain Technology by using Iterative Sharding for IoT Environment

This Blockchains are considered as high security linked-list based models that can be used to incorporate immutability, distributed processing, high transparency, and high trustworthiness for scalable deployments. But as the chain length increases, these blockchains require larger mining delays and higher energy consumption which limits their applicability for low-power use cases. Existing low-power blockchains require complex miner-level evaluations, which increases their computational complexity levels. To overcome these issues, this text proposes design of a novel low-power blockchain via iterative sharding for IoT (Internet of Things) deployments. The proposed model initially collects temporal information about the current IoT scenario and uses an Elephant Herding optimization (EHO) based model to form low-energy & low-delay sidechains. The length of these chains is iteratively modified, which assists in reducing computational complexity even under large scale networks. The EHO Model formulates a mining-delay & mining-energy based fitness function, that allows the model to select optimal chain lengths for context-specific use cases. Due to these enhancements, the proposed model is able to reduce the computational delay by 8.3%, and mining energy by 4.5% when compared with standard blockchain & sidechain models under different realtime use cases. This also allows the model to improve communication throughput and reduce the number of delay jitters for large-scale communication scenarios.
MODERN INTEGRATED MEANS OF TRAINING FUTURE TEACHERS OF MUSICAL ART

The article is devoted to modern integration approaches to the teaching of future music teachers.In the conditions of the digital transformation of general education, the successful professional activity of a modern teacher is impossible without strong motivation, cognitive and technological readiness to teach one's subject in conditions of multitasking, uncertainty and situationality.At the same time, the modern education system puts forward certain regulatory requirements for the qualifications and content of the professional activity of a music teacher.All this imposes certain obligations on the university, which organizes the appropriate teaching conditions of future music teachers.Integration focuses on making connections for students by allowing them to participate in relevant, meaningful activities that can be connected to real life.Modern integrative approaches to the training of future music teachers aim to combine theory learned in the classroom with practical knowledge and real-life experience.Integrative approaches in the teaching of future music teachers make it possible to form new knowledge in students, characterized by a higher level of understanding, the dynamism of their application in new situations, increasing their effectiveness and systematicity, contributes to the expansion of socialcognitive experience, the formation of interest in events and phenomena of reality.The author also draws attention to the importance of development and involvement of students in comprehensive growth, not only as teachers of musical art, but also as cultural figures, artists, vocalists, etc.The main modern integration approaches to the teaching of future music teachers include: integration of verbal, practical and laboratory methods; situational methods; various cognitive methods; integration metaplan; integration lecture together seminar on the use of integration of teaching methods; integrative blocks, etc.The following research methods were used in the article: theoretical (induction, deduction, generalization) for organizing scientific facts, establishing the relationship between different concepts; empirical (research, substantiation of pedagogical experience) for the study of educational programs for the preparation of future teachers.
Sistem Informasi Program Kerja ASLAB Berbasis Web (Studi Kasus GI-BEI PSDKU Polinema di Kota Kediri)

Data processing of work programs at the Indonesian Stock Exchange Investment Gallery Laboratory Assistant (ASLAB GI-BEI) belonging to the accounting department at the PSDKU Polinema campus in Kediri City is still running with a manual system. This work program data processing still uses paper to record the formation of the committee, attendance data and meeting minutes. Then for the work program data processing using the Microsoft Excel application to create reports. Work program data will not be effective if data recording is done manually. Besides being difficult, recording data manually using paper is very risky, such as damage and loss of recording books. Meanwhile, recording data using the Microsoft Excel application is also less efficient and effective, which allows redundancy and errors in writing data. Therefore, we need a website-based application that can manage data recording of work program activities with the aim of making it easier for ASLAB GI-BEI to process data on work program activities online. This work program information system is made in the Laravel Framework with PHP programming language and MySQL database. This activity information system has 3 users, namely Members, Chairpersons, and Supervisors. The application features consist of user management, application management, work program management, meeting management, committee management, and LPJ management.
The Impact of the Human Resources Empowerment Strategy on Achieving Strategic Objectives in Commercial Banks in Jordan

Purpose: The aim of this study is to examine the impact of the strategy of empowering human resources in achieving strategic goals in commercial banks in Jordan. Theoretical Framework: The banks in Jordan are characterized by their diversity, there are three categories of commercial banks: the public sector, the private sector, and foreign banks.it makes it in constant competition, which requires empowering their human resources to achieve the strategic goals they seek. Design/Methodology/Approach: The study collected (356) answers from employees of nine commercial banks in Jordan and conducted an regression analysis to conclude that empowering human resources has a role in achieving strategic goals, and percentages by adopting the weighted average calculation for the level of application of each. The studied variables. Findings: The study reached there is an effect of the strategy of empowering human resources represented by participation in decision-making, freedom of responsibility, training and education in achieving strategic goals in the Jordanian trade banks, while there was no effect of the supporting culture strategy in achieving strategic goals in Jordanian commercial banks from the point of view of its employees. And The level of application of the strategy of empowering human resources with its dimensions of training, education, supportive culture, participation in decision-making, and freedom of responsibility is medium, and the level of application of strategic goals of innovation, productivity, and social responsibility is medium. Research, Practical &amp; Social Implications: The study determines how the application of human resources empowerment strategies in commercial banks can contribute to achieving strategic goals, and the study also identifies the level of following the human resources empowerment strategy, and the Level of implementation of strategic objectives in commercial banks in Jordan. Originality/value: The value of the study to clarify the importance of activating the strategy of empowering human resources as an important factor is necessary in developing strategic goals, especially in the era of knowledge economy
Brand Hatred: a Literature Review and Research Agenda

Purpose: The objective of this paper was to study the past research in the field of brand hatred and propose a research agenda for the future. Theoretical framework: Theories and research on brand hatred been studied. Duplex theory of hate, brand hate as multidimensional construct, determinants of brand hate, self-congruity theory been studied. Brand hatred due to negative past experience, self-image been studied and there is much to investigate and learn. Design/methodology/approach: Literature review is the foundation of research development and extending depth of knowledge Webster and Watson (2002).We began by looking for research articles that contribute critical knowledge and concepts in brand hatred. We have focused on what, where, why, and How to have a better review (Callahan, 2014). Findings: Brand managers must be proactive to reduce the brand hatred and retain the customer. Brand hatred happens due to several reasons and brands may lose customers and its business if it does not take action against brand hatred. Future research should be done into how to convert brand hatred into brand love. Research, Practical &amp; Social implications: We suggest a future research agenda and highlight the areas and points that should be taken care for the mitigation of the brand hatred. Originality/value: The results indicate that the brand hatred phenomenon is very critical for brands. Academicians are showing interest in brand hatred research and number of publication works are increasing in field of brand hatred.
Organisational and Content-Based Approaches to Training Foreign Language Teachers at the US Universities

The relevance of the study is conditioned by socio-cultural changes, according to which there is a need to review the methodological support for professional training of future foreign language teachers based on foreign experience. The purpose of the study is to determine organisational and content-based approaches to the training of future foreign language teachers at the US universities. The study uses a number of general scientific theoretical methods, namely thematic analysis, content analysis, and comparison. The paper analyses foreign scientific and methodological literature in the context of professional training of foreign language teachers, as well as educational programmes of higher educational institutions in the US specialisation. The paper highlights organisational and content-based approaches to training foreign language teachers at the US universities, as well as features of developing the content of educational programmes. It has been established that the content of foreign language teacher education is a symbiosis of requirements for the professional establishment and development of a teacher-philologist, presented in educational standards, visualisation by the scientific and educational community of professional competencies, selection of a repertoire of relevant thematic courses and interests, needs of students and local communities. The paper presents for the first time quantitative characteristics of curriculums of educational programmes for training philological teachers in American universities. It was determined that the most popular disciplines are methods of teaching a foreign language, linguodidactics, scientific research, assessment/monitoring in teaching a foreign language, the use of information technologies in teaching a foreign language, planning a foreign language educational process. The practical value of paper consists in identifying and systematising the features of American education with the further application of positive experience in training Ukrainian specialists in foreign language education
Market knowledge acquisition and sustaining firm performance: an approach towards business excellence

At present, managing and sustaining performance has become a challenge for organisations, where environment forces (enabling and restraining) are continuously interacting and results as dynamic, uncertain and unforeseen contexts. Knowledge optimisation plays a significant role in managing and synchronising core business practices which can be ensured by linking its source and deployment to sustain long-term business performance. The present study aims to explore the linkage among market knowledge acquisition, firm innovation and performance. Theoretical pieces of evidence, relevant research work and arguments have been retraced from e-database/sources such as Google Scholar, EBSCOHost, ScienceDirect, ProQuest, etc. using a systematic review method. This study adds value to knowledge literature, by offering insights into the knowledge sourcing aspect and exploring how it enhances innovation practices to sustain organisational performance. This study inferences, limitations, and future opportunities have also been discussed.
Impact of Data Breach on IT Investment: Moderating Role of Buyer-Supplier Relationship

Data breach is a typical IT failure in the process of digitalization, and it helps firms recognize their shortages of IT security capabilities, influencing their IT investment. Drawing from failure learning theory, this study analyzes the influences of data breach on the firm’s IT investment and examines the moderating effect of firms’ position in the buyer-supplier relationship. Based on data from Compustat, PRC, ITRC, and CI Tech databases in 2009–2016, this study uses a fixed-effect model to analyze the relationships among data breach, buyer-supplier relationship, and firm’s IT investment. This study finds that a data breach increases a firm’s IT investments. When a firm plays a role as a dependent supplier in the supply chain, the positive effect of data breach on IT investment is weakened. However, when a firm’s position in the buyer-supplier relationship is a principal customer, the positive effect of data breach on IT investment is strengthened. Our findings provide practical guidance for firms to better understand and respond to data breaches and improve their IT security capabilities.
Developing English Instructional Materials by Combining YouTube and ABA (American and British Academy) Application

This research was based on the students’ problem regarding the English teaching, especially English materials where they have poor English skills because the lecturer did not have instructional materials related to their department, the media and method did not interesting, and instructional facilities did not enough to cover the learning process. The objective of this research was to develop English speaking materials based on modified ADDIE approach (Analyze, Design, Development, Implementation, and Evaluation). This research was conducted at the Biological students of Muhammadiyah University of Parepare, Indonesia. The method used in this research was developmental research which attempts to develop English learning material for English skills based on the modified ADDIE approach (Analyze, Design, and Development). The researcher applied design instructional as the research design. The researcher implemented some steps in developing English speaking materials; Need Analysis, Design, Development, Expert Validation, Revision, Try Out, and Final Product. The result of the research was The suitable materials for Biological students of Muhammadiyah University of Parepare were authentic materials. The development was coursebook which was designed to possibly for the students working on it. The materials were adopted from YouTube and ABA English. The instructional materials focused on input, process, and output. The students’ positive perception toward the instructional materials was in a very good value and the lecturer’s positive perception was also in very good value. It means that English for Biology instruction has a good quality in the form of the course map, lesson plan, lecturer’s manual, topic, video clips, materials, students’ worksheet, learning activities, and assessment
Enhanced Diffusion and Confusion Based Encryption Algorithm Using Differential Evolution and Chaotic Mapping

Encryption is critical to protecting sensitive data, especially images, against potential illegal access and breaches. The use of chaotic maps for image encryption is widespread among researchers. However, it is necessary to set up initial parameters for chaotic maps to generate random sequences. These parameters need to be selected with care. To determine the optimal initial parameters for image encryption, evolutionary optimization techniques have been used. In this paper, we propose a secure image-based communication system based on an optimized image encryption algorithm. This approach uses differential evolution optimization, which is an ideal solution for reducing convergence time when optimizing chaotic map parameters. Furthermore, the security parameters of these techniques are evaluated, including entropy, Number of Pixel Change Rate (NPCR), Unified Average Changed Intensity (UACI), and correlation coefficients. The simulation results of the proposed encryption approach by combining Arnold’s cat map, chaotic logistic map and optimization method show that the encrypted image is safe against attacks.
A prospective observational multicentric clinical trial to evaluate microscopic examination of acid-fast bacilli in sputum by artificial intelligence-based microscopy system

Microscopy-based tuberculosis (TB) diagnosis i.e., Ziehl-Neelsen (ZN) stained smear screening still remains the primary diagnostic method in resource poor and high TB burden countries, however itrequires considerable experience and is bound to human errors. In remote areas, wherever expert microscopist is not available, timely diagnosis at initial level is not possible. Artificial intelligence (AI)-based microscopy may be a solution to this problem. A prospective observational multi-centric clinical trial to evaluate microscopic examination of acid-fast bacilli (AFB) in sputum by the AI based system was done in three hospitals in Northern India. Sputum samples from 400 clinically suspected cases of pulmonary tuberculosis were collected from three centres. Ziehl-Neelsen staining of smears was done. All the smears were observed by 3 microscopist and the AI based microscopy system. AI based microscopy was found to have a sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of 89.25%, 92.15%, 75.45%, 96.94%, 91.53% respectively. AI based sputum microscopy has an acceptable degree of accuracy, PPV, NPV, specificity and sensitivity and thus may be used as a screening tool for the diagnosis of pulmonary tuberculosis.
MySQL Select Query Optimization Using Self-Join

The challenge of query execution in MySQL involves the efficient and accurate processing of SQL queries to retrieve, manipulate, and store data in a database.It requires optimizing the query execution plan, identifying and resolving performance issues, and ensuring data integrity and security.The challenge lies in balancing the trade-offs between query complexity, database size, system resources, and user requirements.Choosing the right approach depends on the specific characteristics of the data and workload.Therefore, in this paper, we have applied various techniques to get optimized results.
Internet Technology: Blockchain

Blockchain is a distributed ledger technology (DLT) that enables secure and transparent peer-to-peer transactions.It is a decentralized system that does not require a central authority to manage and verify its transactions.This paper discusses the fundamentals of blockchain technology and its potential applications in various industries.It also presents an overview of the key challenges and opportunities that blockchain technology presents.Finally, the paper concludes with a discussion of the future of blockchain technology.
Developers Social Media Application Android Java and Kotlin

People are now linked through technology, so social networks have become the most important means of communication.This social application was heavily used for private purposes to better understand why people in emerging markets use university newspapers to provide an implicit foundation for clarifying the details of viewpoints on the college agenda.provides a more lenient mindset and behavioral norms.Personal interviews were also used in the qualitative technique to extract belief variables from university newspapers.College journal beliefs are composed of five factors, with the remainder referred to as personal enjoyment.These factors are differentiated by utility, social role, information, and entertainment artefact.are classified as siblings, cousins, close acquaintances, friends' regular users, friends, and app reviewers.agenda and communication in social networks with people of the same age group when accepting the artifact.When accepting the artifact, create an agenda and communicate with people of your generation on social media.In a market where there isn't a great platform for people to share and express their ideas, this application, which integrates social freelancer business development, has a very high value.And their development where the fresh faces if they come with the unique things so they can talk with the developers in the world of business of software industry we can be able to market their talent in the customer population by means of our application and online transactional procedure.Connectify networks is the primary application's build and design component.The tab and sections they have subscribed to in the feed tab will be available when they are posting in the application.Businesses are using online communities more and more, so we can draw inspiration from their brand activity so that smaller developers can also get their work in front of social networks' core users.This will enable them to combine their individual efforts with all the ideas they can use to check and verify the user from the database.They can discuss their ideas with the developer community in the application in a quick and convenient manner.