Reviewerly/exHarmony huggingface dataset:
DESIGN OF VECTOR-BASED DESK CALENDAR AT CV. JAYA GRAPHICS

The calendar is one of the objects that can never be separated from people's lives, with the existence of a calendar the community can easily manage the time that has been planned every day as a regulator of activities to make them more precise and orderly. At this time the use of calendars has decreased, the results of a survey conducted by the authors of 50 people found 76% of people preferred the use of desk calendars compared to wall calendars. CV. Jaya Graphic usually only produces wall calendars with unattractive designs. This can be an obstacle for the company because it can result in a decrease in annual turnover. Based on the problems described above, the authors developed a desk calendar product with a vector-based image design. The advantages of vector-based images are that when the image is enlarged it will not break so that it can illustrate the advantages of the printed result with a firm shape and sharp colors
Text-To-Speech in Voice Assistants: Challenges and Mitigation Strategies

Voice Assistants (VAs) have grown rapidly from technological novelties to integral parts of our daily lives to perform tasks like streaming music or news, setting alarms or responding to questions. These virtual conversational agents rely on an intricate combination of technologies, and one of the pivotal components is Text-to-Speech (TTS) synthesis. In this paper, we delve into the technical intricacies of TTS in voice assistants, addressing challenges, solutions, and future directions. VAs like Alexa, Siri and Google Assistant have transformed human-computer interactions. The underpinning TTS technology is crucial for converting text-based information into spoken language, making the interaction more natural and accessible. The synthesis of human-like speech from textual data is a complex and interdisciplinary domain, encompassing fields such as speech signal processing, natural language processing, deep learning, and linguistics. This paper aims to contribute a detailed analysis of TTS in voice assistants, emphasizing not only the theoretical aspects but also the practical implementation and real-world implications. The paper will examine the challenges associated with TTS, considering its technical, linguistic, and user-centric dimensions. The paper will also present mitigation strategies for these challenges. In a world where voice-driven interactions are becoming commonplace, a deep understanding of TTS is vital. By delving into the depths of this technology, we can unlock its full potential and ensure that voice assistants continue to enrich our lives and technical domains
Pengembangan Sistem Informasi Akademik Berbasis Web pada SMK Negeri 3 Bone

This study aims to determine the results of the development of a web-based Academic Information System at SMK Negeri 3 Bone and the results of testing based on ISO 25010 quality standards. This research uses prototype development model. Data collection techniques using interviews, questionnaires, and documentation. System testing uses the ISO 25010 quality standard which focuses on testing functional suitability, reliability, performance efficiency, usability, portability, security, maintainability, and compatibility. As for the results of testing the system using the ISO 25010 quality standard, namely in the functional suitability test with good criteria, in the reliability test, it was stated that the system met the reliability aspect, in the performance efficiency test the results obtained for the GTMetrix class obtained B score with a performance of 84% structure of 94% and a load time of 2.2 seconds, in the usability test the percentage results are 90.98% in the very feasible category, in the portability test the results can run well on different devices and browsers, testing on the security aspect shows the system's resistance to malware and blacklisting websites has a medium risk so that this information system is safe to access. The website-based academic information system has fulfilled the maintainability aspect, and in testing the compatibility aspect it is stated that the academic information system has fulfilled the compatibility aspect.
Functional Quantization, Small Ball Probabilities, Metric Entropy and Series Expansions for Gaussian Processes

This chapter provides some abstract tools in order to determine the rate of decay of the functional quantization error of Gaussian processes and asymptotically optimal quantizers. They are so far not constructive in Sections 4.1–4.4 and constructive in Section 4.5.We establish a precise link relating asymptotic lower and upper bounds for small ball probabilities with upper and lower bounds for the quantization errors, respectively, aswell as (almost) the same precise link relating metric entropy (or Kolmogorov entropy) of the unit ball of the associated Cameron–Martin space and the quantization errors. A first approach to the construction of good quantizations (scalar product quantizations), being close to rate optimality and having a general distortion mismatch feature, is based on series expansions.
Deep Matrix Factorization with Complementary Semantic Aggregation for Micro-Video Multi-Label Classification

Deep matrix factorization has been demonstrated in extracting hierarchical knowledge describing micro-video characteristics. However, the complementary information across distinct latent layers is often ignored. To address this issue, we propose a deep matrix factorization with complementary semantic aggregation (DMFCSA) method for micro-video multi-label classification, which consists of the multi-layer representation learning module and the semantic decoding module. We first employ deep hierarchical matrix factorization to learn the underlying semantic representations at each latent layer. Meanwhile, the semantic aggregation strategy is exploited to integrate complementary information from different layers into the output layer. To enhance discriminability, we construct a triplet term that effectively establishes relationships among features, labels, and attributes. Moreover, the semantic decoding module is designed to enhance both robustness and representation ability by reconstructing the original inputs. Experimental results on a real-world multi-label dataset show the effectiveness and robustness of our method compared to several state-of-the-art methods.
Mathematics and Python

In this chapter, we survey the notions of propositions, real and complex numbers, sets, and mappings (functions) that are the basics of mathematics needed to study linear algebra. We will also learn how these concepts are expressed in Python. Let us learn mathematics in a practical way by using Python.
The Finite-Dimensional Setting II

Sections 3.1 and 3.2 of this chapter are devoted to quantization by randomly generated quantizers and empirically generated quantizers. Sharp asymptotic results for the corresponding quantization errors are derived which allow comparison with optimal quantization. Furthermore, we continue the investigations on greedy quantization started in Section 1.6, where greedy quantizers in the finite-dimensional setting behave like optimal quantizers concerning their geometry and mismatch features.
Journal of Engineering and Applied Sciences Technology

Voice assistants are finding adoption because of their ease and intuitiveness of use. While voice has been the dominant mode of interaction of humans with voice assistants, some embodiments of voice assistants also provide alternative modalities for interaction, popularly, via visual or touch interface. In this paper, the end-to-end working of a multi-modal voice assistant is provided, followed by a deep dive into the challenges associated specifically with multimodal voice assistants. This is followed by mitigation strategies for the challenges arising out of multimodal interaction scenarios. Next, architectural and design guidelines are provided that can provide a seamless user experience. Finally, future research areas have been identified
Comparative Analysis of Native and Hybrid Applications and Their Future

Due to the increment in technology, various mobile applications have become an integral part of our daily lives because users rely on them for different purposes from entertainment and communication to e-commerce. Therefore, there are two main approaches used for developing mobile applications have emerged the first one is hybrid and the second one is native applications. This article will provide a comprehensive comparative analysis based on these two approaches by considering some factors like development time, cost, user experience, performance, and the evolving landscape of mobile technology. Furthermore, it will also explore the prospects of these native and hybrid applications in detail by examining how emerging trends and technologies are impacting popularity and relevance.
Stent Retrievers Utilization in Endovascular treatment of Cerebral Venous Sinus Thrombosis (P5-10.007)

Sunday, April 3May 3, 2022Free AccessStent Retrievers Utilization in Endovascular treatment of Cerebral Venous Sinus Thrombosis (P5-10.007)Abdallah Amireh, hassan ali, Muhammad Nagy, Siddhart Mehta, haralabos zacharatos, Farah Fourcand, and Jawad KirmaniAuthors Info & AffiliationsMay 3, 2022 issue98 (18_supplement)https://doi.org/10.1212/WNL.98.18_supplement.3827 Letters to the Editor
Focus on Physics: Calculating Distances Via Flagpole Shadows

Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsPaul G. HewittPaul G. Hewitt (pghewitt@aol.com) is the author of Conceptual Physics, 12th edition (and upcoming 13th edition in early 2021); Conceptual Physical Science, 6th edition, coauthored with daughter Leslie Hewitt and nephew John Suchocki; and Conceptual Integrated Science, new 3rd edition, with coauthors Suzanne Lyons, John Suchocki, and Jennifer Yeh.
Perancangan Strategis Sistem Informasi Financial Planning Management dengan Robo-Advisor

The pace of information technology growth in the modern day is so rapid that financial fraud has now spread to renewable technologies. The only approach to guarantee future financial security is to invest. However, the vast array of investment options—including stocks, gold, and other investments—often makes it difficult for people to make the best decision. Many millennials are still apprehensive about investing. This results from a lack of understanding about effective investing. A machine learning information system is necessary to assist in the selection of investment products in order to boost the community's and millennials' interest in investing. The Markowitz and K-Nearest Neighbor algorithms were used in the system's construction. Finding recommendations for investment portfolios that match the risk profile can be aided using the K-Nearest Neighbor approach, which is a machine learning technique. Based on a comparison of the sharpe ratio findings from system calculations and manual calculations, the accuracy level of the Markowitz and KNN approaches, which was set at 99.15%, was established.
Sistem Pendukung Keputusan Penilaian Kinerja Guru dalam Kenaikan Gaji Menggunakan Metode SAW di SMK Muthia Harapan

Teacher performance assessment is an important component in efforts to improve the quality of education. The use of a Decision Support System (DSS) with a website-based Simple Additive Weighting (SAW) method with PHP and SQL allows the teacher performance assessment process to be more efficient and objective. This system integrates information from various sources, such as student data, exam result data, peer evaluations, and classroom observations. Muthia Harapan Vocational School is a vocational school with a private educational institution. Decision making for teacher salary increases is still manual or not yet computerized, which causes errors and not being on target. In this research, designing and developing a website that functions as a platform for assessing teacher performance. Teachers can enter their data and upload evidence of their performance. The system then performs calculations based on the weighting criteria determined by the school or educational institution. The SAW method is used to calculate teacher performance scores based on these criteria. It is hoped that the use of the Decision Support System using the website-based SAW method can increase objectivity in assessing teacher performance, enable more precise decision making, and contribute to improving the overall quality of education.
AUTOMATIC SPEECH RECOGNITION USING DEEP NEURAL NETWORKS

This research paper revolves around the evolution and the present scenario of Automatic Speech Recognition systems using Deep Neural Networks. It includes the designs, techniques of training, the evaluations of the model performance, and the emerging trends that are specific to deep neural networks embedded in automatic speech recognition models. This research also incorporates the challenges faced while building and deploying the speech recognition model including limited data availability and adaptability. We have examined how deep neural networks have transformed automatic speech recognition and this research provides valuable insights to improve the speech recognition technology across a number of applications from healthcare to smart devices. INDEX TERMS - Automatic Speech Recognition, Deep Neural Networks, Language Modeling, Robustness to Noise, Speech Modelling
In The Production of A Language Culture, The Existence of Literature Works; Hindu-Buddhist Education in the Kingdom of Kediri

The purpose of this paper is to discuss the presence of literary works in the kingdom of Kediri, the role of ancient Javanese language in Hindu-Buddhist education, and the relationship between the presence of literary works and the role of ancient Javanese language in Hindu-Buddhist education in order to produce language culture. This study employs the historical method and is based on the findings. Literary works are concrete images that create charm with language tools that communicate the human person's experiences, thoughts, feelings, ideas, passions, and beliefs in the shape of experiences, thoughts, feelings, ideas, passions, and beliefs. The existence of literary works in producing linguistic culture in Hindu-Buddhist education.
The Effectiveness of Learning Media Digitalization on Increasing Independent for Indonesian Millenial Learners

Changes that occur in social, economic, technological, and cultural arrangements along with times, require humans to be able to adapt to any changes that exist. Human development from generation to generation accompanied by modernization produces different characters from one generation to another. One of the most widely used generations today is the millennial generation which is considered very influential for society, especially in the field of education. The rapid use of technology in the world of education will be used in changing educational models, namely the growing distance and more choices of available learning resources such as e-books, and easy access to digital applications such as e-libraries, e-forums, e-journals. The purpose of this study is to find out how effective digital learning media is in increasing independence for Indonesian millennial students. This study uses a qualitative method by utilizing and a questionnaire. The results of the study show that digital learning media is quite effective in increasing learning independence for Indonesian millennial students.
USE OF TEACHING PROFICIENCY THROUGH READING AND STORYTELLING (TPRS) IN TEACHING SPEAKING SKILL

This study aims at investigating the effectiveness of the Teaching Proficiency through Reading and Storytelling (TPRS) method in teaching speaking skills to the tenth-grade students in one of the senior high schools in Bandung, and their attitudes after the implementation of this method in the classroom. The embedded mixed method design was applied to accomplish the two research questions. The quantitative data were gained from the students speaking pre-test, post-test, and questionnaire. Meanwhile, the qualitative data were taken from classroom observation field notes as the secondary data to capture the treatment process. 24 students in the experimental group and 23 students in the control group were randomly selected as the participant in this study. After seven meetings of the treatment, the data analysis showed that the speaking score of the experimental group that was treated by using language acquisition-based in TPRS was significantly higher than the control group that was treated by using language learning-based in non-TPRS at the .05 level of significance. The null hypothesis of this study was rejected. Since this study had dealt with the low achiever students that most of them were low motivated, TPRS instruction was appropriate to scaffold language in making them comprehensible and accessible. Moreover, the questionnaire data found that the behavioral aspect of students’ attitude on the use of TPRS method in teaching speaking skills was highly positive. TPRS has made the students appreciate more, feel not afraid, avoid anxiety, and have more confidence in speaking English.
POLITENESS STRATEGIES IN SUNDANESE CONTEXT

This research aims on the refusal and acceptance strategies, as well as their politeness, in the context of a sundanese community in Kuningan. The study was formulated to answer research questions (1) what are the types of refusal and accepance strategies used in Sundanese context?. (2) how is the politeness strategies happen in sundanese context?. This study employed the qualitative method as research design. A Discourse Completion Task (DCT) is employed to collect data from 20 respondents. Because the respondents are Sundanese, the questionnaire is written in Bahasa Sunda, making it easier to evaluate. The results show that there are 240 utterances, 150 of which are refusing and 90 of which are accepting. The refusal strategies are made up of 12 techniques, whereas the acceptance strategies are made up of 6 techniques. Most Sundanese respondents are courteous, as seen by their responses when requesting to follow their professor or when refusing to speak to a person of great power. So they know where they should be courteous and who they should talk to.
Ideology of President Joko Widodo through His Inauguration Speech

This study focuses on analyzing a presidential speech, Joko Widodo in his inauguration on October, 2014. In order to gain clear explanation about the transitivity and its modality also the ideology of Joko Widodo, Critical Discourse Analysis through functional linguistic analysis is employed. This metafunction analysis is based on Halliday &amp; Matthiessen (2004) and Fairclough (1995). It is found that there are three processes used mainly by the speaker such material, mental and relational. The material process is utilized to state what happens, many linking verbs to state what is or should be and mental process to state what speaker thinks or feels about issue. Meanwhile, modality alludes to the point of view or conclusion of the speaker on the reality of a suggestion communicated in a sentence. Jointly, it expands their demeanor to a case or occasion that's characterized by a statement. Social cognition as the ideology of Joko Widodo shows the widespread use of non-public pronouns. Pronouns I and we are widely used in speech than others. The findings of this study may contribute to expanding the critical thinking skills of readers in language understanding and production.
Secure Federated Evolutionary Optimization—A Survey

With the development of edge devices and cloud computing, the question of how to accomplish machine learning and optimization tasks in a privacy-preserving and secure way has attracted increased attention over the past decade. As a privacy-preserving distributed machine learning method, federated learning (FL) has become popular in the last few years. However, the data privacy issue also occurs when solving optimization problems, which has received little attention so far. This survey paper is concerned with privacy-preserving optimization, with a focus on privacy-preserving data-driven evolutionary optimization. It aims to provide a roadmap from secure privacy-preserving learning to secure privacy-preserving optimization by summarizing security mechanisms and privacy-preserving approaches that can be employed in machine learning and optimization. We provide a formal definition of security and privacy in learning, followed by a comprehensive review of FL schemes and cryptographic privacy-preserving techniques. Then, we present ideas on the emerging area of privacy-preserving optimization, ranging from privacy-preserving distributed optimization to privacy-preserving evolutionary optimization and privacy-preserving Bayesian optimization (BO). We further provide a thorough security analysis of BO and evolutionary optimization methods from the perspective of inferring attacks and active attacks. On the basis of the above, an in-depth discussion is given to analyze what FL and distributed optimization strategies can be used for the design of federated optimization and what additional requirements are needed for achieving these strategies. Finally, we conclude the survey by outlining open questions and remaining challenges in federated data-driven optimization. We hope this survey can provide insights into the relationship between FL and federated optimization and will promote research interest in secure federated optimization.
A CLASSROOM ACTION RESEARCH: THE USE OF CHAIN DRILL-SIMULATION FOR TEACHING SPEAKING

This research investigates the utility of chain drill simulations as a pedagogical technique for enhancing speaking proficiency among junior high school students in Sintang, West Kalimantan. Speaking skills are a vital aspect of language education, and this study assesses the potential of structured speaking exercises to bolster students' communication abilities. Through the implementation of chain drill simulations in the classroom, accompanied by feedback and assessment, the research demonstrates that this approach offers an engaging platform for students to practice and develop their speaking skills. Additionally, the adaptability of the technique to cater to students with varying language proficiency levels is highlighted. The study underscores the importance of constructive feedback and assessment in facilitating students' speaking skill growth. While supporting the use of chain drill-simulations as a valuable tool for teaching speaking skills at the junior high school level, the research emphasizes the need for ongoing assessment and further refinement to optimize this technique. The findings have implications for language education in the local context of Sintang, recognizing the role of effective communication in students' academic and personal development.