Reviewerly/exHarmony huggingface dataset:
Estimation of concise video summaries from long sequence videos using deep learning via LSTM

Video summarization is a field of signal processing which deals with removing redundant information from a sequence of frames. In order to design an efficient video summarization model, it is imperative that frame features must be analyzed, and their similarity must be evaluated. This process would assist in aggregation of frames that have similar feature sets, and then use this information to reduce frame redundancy. Design of an efficient feature extraction and analysis model must be done in order to improve efficiency of video summarization. Models that aim at improving this efficiency, tend to improve the computational complexity of summarization, thereby limiting their applicability. In order to remove this drawback, The proposed event-based model for long video summarization uses a combination of LSTM based CNN with feature variance method for estimation of keyframes. The model works is 2-phases, wherein in the first phase various events are recognized from the video using LSTM based CNN model; while in the second phase these events are individually summarized using variance-based threshold engine. The proposed event classification-based LSTM CNN model with variance-based summarization outperforms other models, and achieves 8% improvement in terms of compression ratio.
Dementia Detection Using LSTM and GRU

Neuro-degenerative infections, like dementia, can affect discourse, language, and the ability of correspondence.A new report to work on the precision of dementia identification examined the utilization of conversation analysis(CA) of meetings between patients and nervous system specialists to recognize reformist neuro-degenerative(ND) memory issues patients and those with (non-reformist) FMD (Functional Memory Disorder). In any case,manual CA is expensive for routine clinical use and hard proportional. In this work, we present an early dementiadiscovery framework utilizing discourse acknowledgment and examination dependent on NLP method andacoustic component handling strategy apply on various element extraction and learning using LSTM (LongShort-Term Memory) and GRU which strikingly catches the transient provisions and long haul conditions fromauthentic information to demonstrate the abilities of grouping models over a feed-forward neural organization inestimating discourse investigation related issues. Dementia dataset is taken where the audio file is considered forspeech recognition analysis on basis of that data is generated and it is predefined given in dementia data databank.That audio file is converted to text based on speech analysis. Using LSTM and GRU gives efficient results.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single Anonymous • Conference submission management system: https://iceees.unilak.ac.id/paper-submission/ • Number of submissions received: 129 • Number of submissions sent for review: 129 • Number of submissions accepted: 87 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 67.4 • Average number of reviews per paper: 2 • Total number of reviewers involved: 15 • Contact person for queries: Name: Robbi Rahim Email: robbirahim@ieee.org Affiliation: Sekolah Tinggi Ilmu Manajemen Sukma
Patient Work Personas of Type 2 Diabetes—A Data-Driven Approach to Persona Development and Validation

Introduction Many have argued that a “one-size-fits-all” approach to designing digital health is not optimal and that personalisation is essential to achieve targeted outcomes. Yet, most digital health practitioners struggle to identify which design aspect require personalisation. Personas are commonly used to communicate patient needs in consumer-oriented digital health design, however there is often a lack of reproducible clarity on development process and few attempts to assess their accuracy against the targeted population. In this study, we present a transparent approach to designing and validating personas, as well as identifying aspects of “patient work,” defined as the combined total of work tasks required to manage one's health and the contextual factors influencing such tasks, that are sensitive to an individual's context and may require personalisation. Methods A data-driven approach was used to develop and validate personas for people with Type 2 diabetes mellitus (T2DM), focusing on patient work. Eight different personas of T2DM patient work were constructed based physical activity, dietary control and contextual influences of 26 elderly Australian participants (median age = 72 years) via wearable camera footage, interviews, and self-reported diaries. These personas were validated for accuracy and perceived usefulness for design, both by the original participants and a younger (median age bracket = 45–54 years) independent online cohort f 131 T2DM patients from the United Kingdom and the United States. Results Both the original participants and the independent online cohort reported the personas to be accurate representations of their patient work routines. For the independent online cohort, 74% (97/131) indicated personas stratified to their levels of exercise and diet control were similar to their patient work routines. Findings from both cohorts highlight aspects that may require personalisation include daily routine, use of time , and social context . Conclusion Personas made for a specific purpose can be very accurate if developed from real-life data. Our personas retained their accuracy even when tested against an independent cohort, demonstrating their generalisability. Our data-driven approach clarified the often non-transparent process of persona development and validation, suggesting it is possible to systematically identify whether persona components are accurate or. and which aspects require more personalisation and tailoring.
Humanitarian practice fit for the digital age

This essay seeks to examine some of the implications of advanced digital technologies on the humanitarian sector. It first situates data and technology-driven transformations in the broader context of humanitarian innovation and reform. It outlines how the increasing scale and complexity of humanitarian needs and operating environments has led to experimentation with new tools and approaches, business models and organisational roles in the sector. These innovations are occurring against the background of the localisation agenda, competition from the private sector, collapsing trust in institutions, and increased scrutiny of charities. The essay then highlights how technologies such as artificial intelligence and machine learning, biometrics, and blockchain are increasing the capacity of the sector to improve humanitarian outcomes for people in crisis through new functionalities and services, greater insights into emerging vulnerabilities and risks, and enhanced organisational performance. Conversely, the essay then explores how these tools and systems are introducing a host of potential harms by exposing vulnerable people and communities to new forms of intrusion, insecurity, and inequality. This includes issues of data protection, cyber security, inherent biases in technological tools, and the reality of the digital divide and exclusion. Lastly, the essay outlines an emerging critical research agenda and active policy debates about responsible, ethical and inclusive design, use and regulation of technology in humanitarian contexts.
Geographical distribution of the angle of incidence uncertainty on the measurement of global horizontal irradiance

One of the main contributing factors to uncertainty for ground-based global irradiance measurements is the angular response of the pyranometer. Since it depends on the angle of incidence, the measurement uncertainty will depend on the time of day and time of the year, as well as the site latitude and local climate. This work explores the geographical and seasonal distribution of the angle of incidence impact on the measurement accuracy of the global horizontal irradiance. Based on direct irradiance estimates from the ERA5 reanalysis, a model for the angle of incidence uncertainty, based on latitude and the fraction of diffuse irradiation, is proposed and validated, considering empirical estimates of the GHI component closure from the Baseline Surface Radiation Network. Results show that the model is accurately estimating the angle of incidence uncertainty at mid and high latitudes.
LIBRARIANS' ROLE IN PROCESSING DIGITAL COLLECTIONS FOR THE BENEFIT OF LIBRARY AND ARCHIVES IN SOUTH SULAWESI PROVINCE

The goal of this study was to ascertain the librarian's role in processing digital collections and to ascertain the procedure by which digital collections were processed. The author employed descriptive research with management and pedagogical perspective in this study. Then, primary and secondary data were used in this study. Interviews and documentation served as guidance for the research instrument. Data collection techniques included observing, interviewing, and documenting. Then there were procedures for data analysis such as data reduction, data display, and conclusion drafting. The study's findings indicated that librarians played an important role in processing digital collections at the Library and Archives Service of South Sulawesi Province, including participation in librarian training activities, digital collection processing activities, and digital collection promotion activities. The Library and Archives Service of South Sulawesi Province were in the process of processing digital materials, specifically scanning, editing, and publishing. The processing of digital collections could be adapted to technological advancements to make them more effective and efficient.
Marshall-Olkin Stereographic Circular Logistic Distribution

Marshall and Olkin (1997) proposed an interesting method of adding a new parameter to the existing distributions. The resulting distributions are called the MarshallOlkin distributions, these distributions include the original distributions as a special case and are more flexible and represent a wide range of behavior than the original distributions. In this paper, a new class of asymmetric stereographic circular logistic distribution is introduced by using Marshall-Olkin transformation on stereographic circular logistic distribution (Dattatreyarao et al (2016)), named as Marshall-Olkin Stereographic Circular Logistic Distribution. The proposed model admits closed form density and distribution functions, generalizes the stereographic circular logistic model and is more flexible to model various types of data (symmetric and skew-symmetric circular data). Keywords:Characteristics, Stereographic circular logistic distribution, circular data, Marshall-Olkin transformation, l -axial data.
THE ROLE OF DIGITAL TECHNOLOGIES IN EDUCATION

The article highlights the role of digital technologies in the education process of students in higher education, because in the modernization of education, introduction of new state educational standards, updating the content of education, a social order is formed for professional training of modern people capable of innovation, conditions of digitalization.Digital technologies have taken center stage over the last decade.Every process in people's lives has something to do with technologies, so every university has to adjust their programs to those changes.In this concept, the main task that universities will have to deal with -finding the right spin for providing technologies into programs.Many professionals are claiming that digital technologies play a huge role in the education process, so universities are actively changing their programs to meet the new standards.The essence of the concept of "digital technology" is revealed.The essential characteristics of digital technologies are described.It was found that digital technologies contribute to the creation of an innovative digital environment in higher education institutions; intensify communicative connections of all participants of the educational process, creating conditions for self-realization, cooperation, reflection; enrich traditional teaching methods with innovative forms; provide interactive and informational interaction in the learning process.Digital technology is a tool that is actively used in education and helps to improve its quality.The effectiveness of the use of digital technologies in the educational process of higher education institutions is revealed according to the survey.It is concluded that the educational process with the use of digital technologies is becoming more flexible, personalized, accessible.Especially in the conditions of distance learning due to the spread of coronavirus infection), the need for teacher interaction with students increases both in the traditional format and with the use of digital technologies.
LAW OF BITCOIN INVESTMENT

This research aimed to understand the Bitcoin investment mechanism and the legal expert opinion towards it. The research used empirical juridical method with sociological juridical approach. The results shown the investment mechanism divided into mining and trading activity. The legal expert opines, in Islamic views, mining is allowed to do because there were two akad forms did and has no element of maysîr on it, also, Bitcoin trading is allowed to do while compatible with sharia principal. Whereas in positive law views, these two activities cannot be shaded by the existing regulation, such as Civil Code, The Currencies Law, Electronic Information and Transaction Law, and Bank of Indonesia Regulation. Although it can be associated with these regulations, the Bitcoin investment still need to regulate in specific role, so it gives the legal certainty to society.&#x0D; Penelitian ini bertujuan untuk mengetahui mekanisme investasi yang dilakukan serta pandangan pakar hukum terhadap fenomena tersebut. Penelitian ini menggunakan metode yuridis empiris dengan pendekatan yuridis sosiologis. Hasil penelitian ini menunjukkan bahwa mekanisme investasi Bitcoin yang dilakukan dapat berupa mining, dan trading. Pakar hukum berpendapat bahwa, dalam perspektif Islam, aktivitas mining boleh untuk dilakukan karena terdapat dua akad yang berbeda selama prosesnya serta tidak mengandung unsur maysîr, dan trading Bitcoin boleh untuk dilakukan selama tidak bertentangan dengan prinsip syariah. Sedangkan secara hukum positif, kedua aktivitas tersebut belum bisa dinaungi oleh regulasi yang ada, seperti KUH Perdata, Undang-Undang Mata Uang, Undang-Undang ITE, serta Peraturan Bank Indonesia. Meskipun terdapat unsur-unsur yang berkaitan dengan regulasi tersebut, investasi Bitcoin perlu diatur secara tertulis dalam peraturan khusus yang berbeda, sehingga akan memberikan kepastian hukum terhadap masyarakat.
Pengelolaan Arsip dalam Menunjang Layanan Informasi pada Bagian Tata Usaha di Madrasah Aliyah Negeri

Good archive management is very important in providing information services so as not to hinder operational activities in madrasas. The purpose of this study is to explain archive management in supporting information services in the administrative section at Madrasah Aliyah Negeri 1 Gresik. The research method used is a qualitative approach with the type of descriptive research. The research site is at Madrasah Aliyah Negeri 1 Gresik. The informants of this research are administrative staff. The results obtained from the study explain that the management of archives at Madrasah Aliyah 1 Gresik which is under the administrative division has been carried out well in supporting information services at the madrasa through several stages: 1) Creating archives through incoming and outgoing letters; 2) The distribution of archives is carried out through the procedures written in the standard operating procedures for distributing letters in madrasas; 3) Archive storage is done by numbering system; 4) Use of archives through retrieval and borrowing of records; 5) Archive maintenance is carried out regularly every two months; 6) Shrinkage of archives is only carried out by transferring archives to the warehouse. However, there are obstacles in its management, namely the absence of archivists, fewer storage cupboards, and no training in archive management. While the supporters are adequate storage warehouse and administrative staff who are painstaking in managing archives.
Voice Assistant with Home Automation

Abstract: As we know Python is an emerging language so it becomes easy to write a script for Voice Assistant in Python. The instructions for the assistant can be handled as per the requirement of user. Speech recognition is the process of converting speech into text. This is commonly used in voice assistants like Alexa, Siri, etc. In Python there is an API called SpeechRecognition which allows us to convert speech into text. It was an interesting task to make my own assistant. It became easier to send emails without typing any word, Searching on Google without opening the browser, and performing manyother daily tasks like playing music, opening your favorite IDE with the help of a single voice command. In the current scenario, advancement in technologies are such that they can perform any task with same effectiveness or can say more effectively than us. By making this project, I realized that the concept of AI in every field is decreasing human effort and saving time.
The Role of Quality Management in IT Project Management

As we are in a competitive business world, quality management is important in all project aspects. Applying a certain standard level to quality in an organization can help ensure customer satisfaction by delivering a high-quality product. This study primarily aims to define the relationship between quality and its role in the project management field, as the lack of quality may lead to the failure of the projects. The study also provides a review of how quality can affect the life cycle of software development; it examines the need for quality standards, reviews, and control. In addition, the study results show that organizations that use the quality tools and standards effectively while managing their projects have higher levels of maturity.
Human-AI Partnerships in Generative Music

This research aims to explore relationships between human performers and AI-based NIMEs, through the design of interactive generative music systems. This includes research studies that apply human-computer interaction evaluation and co-creative frameworks to musical performance.
MeSH versus BibSonomy: A Comparative Study of Index Terms and Social Tags in Nursing Literature

Present study attempts to examine similarities and differences between the expert generated subject headings and social tags. The study focuses on the comparing BibSonomy social tags and MeSH terms. For this purpose hundred articles in the domain of nursing were collected from BibSonomy as well as PuMed. The results show that 92.72% MeSH terms are not available in social tag vocabulary and almost 15% social tags are likely to be accepted by MeSH terms i.e., experts. Jaccard similarity coefficient shows that users and experts use variant terminology. Users use mostly title-based keywords while experts have used mostly topic-based terminologies. It is suggested that while social tags could improve document retrieval. They cannot substitute controlled vocabulary. OPACs must allow users to describe library documents through user-generated social tags along with expert (librarian) generated terms.
Developing Android-Based English Vocabulary Learning Materials for Primary School Students

This study intended to develop an android-based application for English vocabulary learning for primary school students. By implementing Design and Development design model, the researcher underwent three main stages namely; 1) Design, 2) Development, and 3) Evaluation. Through the use of questionnaires and interview guide, the needs were assessed. The results showed that the primary school students need more time to learn English and emphasize more on vocabulary learning. The primary school students need a smartphone application which provides vocabulary practice, test and entertainment about the topics learnt in the class. The smartphone application was developed in Android Package Kit (APK) format designed by using Microsoft Power Point. Contrasted to others, this smartphone application provides vocabulary practices, quizzes, and games for all topics that 4, 5, and 6 graders need to learn. The smartphone application was tested and evaluated by 5 English teachers and 2 technology experts to find out the quality. The results showed that the application has a very good quality and ready to be installed and used in Android smartphone. An effective use of the application with meaningful learning activities for vocabulary learning for young learners are strongly suggested.
INDOGLISH AS A SOCIOLINGUISTIC PHENOMENON: A CASE STUDY AT ENGLISH DEPARTMENTS UMMY SOLOK

This study looked into the use of Indoglish as a Sociolinguistic Phenomenon by English Department students of UMMY Solok. The indoglish utterances were collected using a descriptive qualitative approach in this study. The participants in this study were all English Department students in UMMY Solok's sociolinguistic class. The data for this study are snippets of speech gathered from the use of language in the sphere of daily education of students in the campus setting as a whole over the course of three months. Direct speech in everyday communication, which is supposed to contain the forms of 'Indoglish' is used to observe closely. Speech inducements are also used to collect data for this study. This method can be enhanced by recording directly or indirectly, publically or secretly. The interview will then proceed to describe the causes that led to the creation of Indoglish used by students. The study's findings suggest that 53 English words were recognized as Indoglish expressions from students' non-academic conversation. The data indicates that the likelihood of using Indoglish at the word level is higher than the likelihood of using phrases, clauses, or sentences. Meanwhile, the findings of the investigation revealed that this occurrence was caused by a number of variables. The majority of students utilize Indoglish in their conversations to build closeness, relaxed friendliness, and intimacy with their interlocutors, according to the findings. Second, the speaker is having trouble locating the correct term in Indonesia. Finally, this phenomena arose as a result of students' desire to improve their English language skills by employing Indoglish in regular discourse.
Incorporating the source document property metalanguage for translation education

To show how metalanguages can be used for translator education and examine their effectiveness, a pedagogical session was designed, in which a part of the source document (SD) property metalanguages was used, and an experimental session was conducted. The authors simulate the main aspects of a classroom session that introduces the task of SD property specifications (called “SD profiling” for simplicity) by combining empirical analyses of the results of the experiments with deductive arguments about teaching scenarios. They provide further analyses of the results of the experiments, showing the effects of SD profiling. The authors also constitute further concretisation of the model session design, by showing concrete ways of discussions to be implemented in the classroom setup by using metalanguages.