Reviewerly/exHarmony huggingface dataset:
ADLnet: A 1d-CNN for Activity of Daily Living Recognition in Smart Homes

Human activity recognition (HAR) systems enable continuous monitoring of human behaviours in several areas, including activity of daily living (ADL) detection in ambient intelligent environments. The extraction of relevant features is the most challenging part of sensor-based HAR. Feature extraction influences algorithm performance and reduces computation time and complexity. However, the majority of current HAR systems rely on handcrafted features that are incapable of handling complex activities, especially with the influx of multimodal and high-dimensional sensor data. Over the last few decades, Deep Learning has been considered to be one of the most powerful tools to handle huge amounts of data. Thus, we developed ADLnet, a One-Dimensional Convolutional Neural Network (1d-CNN) for recognizing ADLs in Smart Homes, as part of an ambient assisted living framework to provide assistance to elderly inhabitants. We propose an innovative method to scan and classify time-series sensor data such as the CASAS dataset, which has been used for the training/validation/testing process. Testing results show very high performance.
Non-invasive Synthesis from Vision Sensors for the Generation of 3D Body Landmarks, Locations and Identification in Smart Environments

This work proposes 3D body landmarks, location, and identification in multioccupancy contexts from vision sensors. Methods include high-performance vision tools, such as Yolo, DeepFace, and MediaPipe, to estimate 3D body landmarks and identification. First, we sense a smart space where a vision sensor is deployed to collect the activities of inhabitants. Our proposed model computes, identifies, tracks and obtains 3D body landmarks in multi-occupancy contexts. Third, 2D location over the floor is estimated based on homography projection, enabling fusing multiple vision sensors’ information. Third, tracking and face recognition are integrated with non-supervised tracking to identify the inhabitants in the smart environment and relate the landmarks to them. A case study is presented to illustrate the proposal with an encouraging performance (f1-score: 0.98) in tracking multi-occupancy of two inhabitants with five scenes in two rooms.
AN ANALYSIS OF COLLABORATIVE LEARNING IN READING COMPREHENSION AT THE TENTH GRADE OF SMA NEGERI 2 GUNUNGSITOLI IN 2022/2023

This research aims to analyze the use of collaborative learning methods in teaching reading comprehension of descriptive text in class X SMA Negeri 2 Gunungsitoli. This research is a qualitative research to explore certain phenomena. The subjects in this study were an English teacher and 32 class X students of SMA Negeri 2 Gunungsitoli. The instruments used were tests, interviews and interviews. Data was collected by giving tests, questionnaires, and recording teacher answers from interviews. The collected data has analyzed descriptively. The results showed that the use of collaborative learning methods with teachers in reading comprehension activities through classroom learning have been carried out and teachers often use collaborative learning methods. The test results also show that the results of students' abilities are more improved after the collaborative learning method is used with score from the test was 76,5. From the questionnaire, this research showed the students implementing collaborative learning in the classroom with the highest percentage was 79,7 %. Therefore, it can be concluded that the use of collaborative learning has benefits and this method is more effective for encouraging student interaction with other students in understanding a text, so that collaborative learning methods can improve students' reading skills.
Using Synthetic Data to Improve the Accuracy of Human Activity Recognition

Approaches to Human Activity Recognition are typically data driven, classifying activities performed by humans based on low level sensor data from ambient and/or wearable sensors. Collecting this data is a challenging task, being time consuming to collect and label the data, whilst also being expensive to deploy the acquisition systems. The use of synthetic data offers a potential solution to these challenges. This research is based on generating synthetic data, with the aim of improving the performance of HAR. The data used in this study is generated based on a well-known open dataset, Mobile Health (mHealth) dataset, which was collected with wearable sensors for 12 activities. Firstly, the real data was pre- processed and classification methods such as Decision Tree, Gaussian Naïve Bayes, and Support Vector Machine were applied. Three different synthetic generation techniques Synthetic Data Vault Probabilistic Autoregressive (SDV-PAR), Time-series Generative Adversarial Network (TGAN), and Conditional Tabular Generative Adversarial Network (CTGAN) were subsequently used. In comparison to real data, which achieves an accuracy score of 0.9725, the synthetic data generated by CTGAN achieved an accuracy score of 0.8373.
Implementasi Literasi Sekolah melalui Gerakan 15 Menit Membaca dan Pembuatan Poster dalam Meningkatkan Percepatan Membaca di MI Nurul Mun’im Karanganyar Paiton Probolinggo

This service aims to describe the implementation of the Reading Literacy Movement in Increasing Reading Acceleration at MI Nurul Mun'im. Based on the problems at MI Nurul Mun'im, there are still some students who are not fluent in reading and have difficulty understanding the material. This research is a qualitative descriptive research, the research subject is the deputy head of facilities and infrastructure, and one of the students in class III IV V VI. The techniques used in data collection are interviews, field observations, documentation, and active participation. The collected data was analyzed using interactive analysis. The implementation of the reading literacy movement in the field is carried out for one hour per class in turns, and the implementation time is 20 days. Reading books are provided in each class or use textbooks studied that day, to monitor student progress in the accelerated reading program. Based on data analysis, it can be concluded that the reading literacy movement was implemented this year and has started to run well. Some students who are still not fluent in reading and have difficulty understanding the material are slowly starting to make progress.
The Application of Picture Word Inductive Model (PWIM) in Teaching Writing Recount Text

As the last stage of language learning, many students have difficulty mastering writing skills. Likewise, at SMPN 1 Tembuku where the eighth-grade students in the second semester have problems in writing, especially writing recount text. Thus, Picture Word Inductive Model can be used as an alternative strategy in teaching writing and overcome the difficulties mentioned to explore whether applying PWIM has an effect on students’ skill in writing recount text. A quasi-experimental with posttest only control group design was used as the research design. The result of data analysis showed that the experimental group mean score was 76.09, while the control group mean score was 72.25. It showed that the mean score of experimental group was higher than the mean score in control group as well as the effect size calculation was in medium category with the result 0.651. Thus, there was significant effect of using Picture Word Inductive Model on students’ skill in writing recount text. PWIM helped students in writing process and make students easier generate their ideas well into writing. Therefore, it was suggested to use PWIM as an alternative strategy in teaching writing.
Laguange Loss and Imperialism in the Play Translations by Brian Friel

The play Translation explores the impact of British colonial rule on the Irish language and culture. The play is set in 19th-century Ireland, and it vividly depicts the struggles faced by a group of characters as they navigate the challenges of translating Irish place names into English, showcasing the complex dynamics between language, power, and identity. It seeks to provoke critical thinking, raise awareness, and advocate for the preservation of linguistic diversity, cultural identity, and the rights of indigenous communities affected by language loss and imperialism. This research uses a qualitative descriptive research method. The researchers collected the data from the script and interpreted it using discourse analysis. It is found that language loss in the context of imperialism is a consequence of the imposition of a dominant language and the devaluation of indigenous languages.
The Influence of Information Technology on Employee Responsiveness in the Telecommunications Sector, Nigeria

Purpose: The study investigated how information technology has impacted the responsiveness of the telecommunication industry, Airtel, South East, Nigeria&#x0D; Methodology/approach: The study used a correlational survey design, with copies of the questionnaire serving as the main data collection tool. A probability simple random sampling technique was used to distribute the survey face-to-face using a five-point Likert scale. The data was tested using correlation to analyze the relationship between the variables.&#x0D; Result/Findings: The result of research hypothesis one indicates that a unit rise in teleconferencing applications results in a 0.996 increase in employee responsiveness at a 5 % level of significance. The result of research hypothesis two revealed that a unit increase in internet applications results in a 0.865 increase in service quality at a 5 % level of significance. The researchers suggest businesses provide opportunities for their employees' ongoing education and training, so they can gain the most recent credentials and expertise in their field.&#x0D; Contribution: The study established a gap in the conceptual framework relating the variables of teleconferencing software, internet, and service quality. This current study aims to close the conceptual and geographic coverage gaps in the literature.&#x0D; Practical Implications: The outcome of this study would help policymakers push for investments in opportunities for lifelong learning and promote collaborations between businesses, governments, and educational institutions.&#x0D; Novelty: This study contributed to the body of knowledge by identifying gaps in the literature and geographic coverage. &#x0D; Keywords: Information Technology, Teleconferencing Application, Employee Responsiveness, Resource Based Theory, Pearson Correlation, Nigeria.&#x0D; &#x0D;
Information and Psychological Security of the Media Space. Ukrainian Experience of Implementation of Psycholinguistic Component Into Media Education

The article covers the Ukrainian experience of the of integrating a psycholinguistic component into media and information education,which we consider as one of the most important elements of the information security control system in the media space.&#x0D; The psycholinguistic component aims at providing special knowledge and skills for analysing linguistic means and non-linguistic tools used in the media to enhance the impact on the reader’s world view (media and information literacy), identifying fraudulent messages to prevent access to personal data (cyber literacy). This component also involves the acquisition by the media consumer of the skills of identifying the methods and techniques used by journalists to influence the reader. These skills allow analysing texts and understand the author’s intentions and purpose, as well as identifying the used means and methods of influencing the reader.&#x0D; We have designed a course of media and information education for journalists and consumers of media products in order to help them fully navigate the modern information and communication space and effectively counteract disinformation. The course aims to: (1) the formation of competence in the field of media, information and cyber literacy; (2) inclusion in the media literacy course of the basics of psycholinguistic analysis of materials; (3) the development of cyber literacy.&#x0D; The research used such methods as questionnaires, analysis and synthesis, arrangement, and systematization of theoretical and empirical material, psycholinguistic analysis of text.&#x0D; Conclusions. In the study, the psychological readiness of a media specialist to counteract manipulative informational and communicative influences is considered within the scope of the activity approach and in relation to such individual characteristics as motivational, cognitive, informational-technical, emotional-volitional, and moral-ethical competences. A media specialist’s possession of all these competencies is necessary for the formation of a stable psychological readiness to resist manipulative influences.
The Implementation Of Pie (Point, Illustration, Explanation) And Author’s Chair Strategy In Teaching Writing At The Tenth Grade Students Of Sman 18 Makassar

The objective this research is to find out the improvement of students writing ability after being taught by using PIE and Author’s Chair strategy. This research used pre-experimental method. The population of this research was the tenth grade students of SMAN 18 Makassar. The sample was 22 students which were taken by using purposive sampling tehnique. The result indicated that the mean score of post-test was higher than pre-test (76.36&gt;62.22) and t-test was greater than the value of t-table 13.205&gt;2.080. It means that there was a significant difference between the students’ pre-test and post-test in teaching by using PIE and Author’s Chair strategy. It concluded that teaching writing by PIE and Author’s Chair strategy can improve students writing ability at the tenth grade students of SMAN 18 Makassar
Improving Students' Vocabulary by Using Bingo Game at the Eighth Grade of SMP Swasta Idanoi in 2022/2023

Vocabulary is the words that has a meaning and used by people to communicate with other and it support skills in English, namely Listening, Speaking, Reading, and Writing. In the reality, the students at the Eighth grade of SMP Swasta Idanoi had a problem in vocabulary that effected in their Writing skill, namely: students were not able to know the English words and uses, students were not able to recognize the translation words and difficulties in memorizing the long syllable and unfamiliar words. Based on the problem, this research aimed to overcome the problem by using Bingo game. This research used Classroom Action Research (CAR) that consists of Planning, Action, Observation, and Reflection. The result of the research in cycle I showed there were 13 students did not pass the MCC of 21 students and the average of students’ mark was 63. The lowest score was 10 and the highest was 90. In the cycle II, all the students passed the MCC with the average of students’ mark was 93,33 with the lowest score was 80 and the highest score was 100. The researcher concluded Bingo game improved students’ vocabulary and overcome the students’ problem in this research.
An Analysis of Teacher’s Strategies in Teaching Writing on Recount Text in Pandemic Through Online Class at the tenth Grade of SMA Negeri 1 Kolang

This study is about An Analysis of Teachers Strategies In Teaching Writing Recount Text In Pandemic Through Online Class. The objective of this study was to know how the strategies used by teachers in the classroom recount texts in pandemics through an online class at Tenth Grade of SMA Negeri1 Kolang. This study was conducted by applying Descriptive Qualitative research. The writer recorded 2 English teachers' strategies to get the data. The instrument of collecting data was Observation, Interview, and Documentation. The data were obtained on English teachers' Strategies in teaching recount text in pandemics through online classes. The writer found there were Strategies of the English teachers in teaching recount text through online classes. The findings of data analysis showed that strategies used by the English teachers in teaching recount text in pandemic through online class are (1) Explanation about the recount text, (2) Deep explanation (send a link video about the material by WhatsApp group to deep understand about recount text), (3) Quiz about recount text, then (4) Give the students exercise about recount text. The benefits of this research for state and nation especially for English teachers are this research is used as a source by teachers to implement strategies in teaching writing through an online class.
Unifying Wearable Data: A Novel Architecture Integrating Fitbit Wristbands and Smartphones for Enhanced Data Availability and Linguistic Summaries

The management of wearable device data faces significant challenges due to the limited availability of suitable Application Programming Interfaces (APIs). In response to this issue, we present a pioneering architecture that seamlessly integrates data from commercially available Fitbit wristbands’ sensors and smartphones, resulting in improved data accessibility and advanced linguistic summaries. Our novel approach utilises cutting-edge sensors to efficiently capture and transmit user movement and heart rate data wirelessly to smartphones. A key element of our architecture involves facilitating communication with a central platform via a robust REST API. This enables us to incorporate fuzzy linguistic protoforms, empowering sophisticated data analysis techniques to be employed. Furthermore, we have developed specific applications tailored for both mobile devices and smartwatches, enabling seamless data collection and visualizations. To demonstrate the efficacy and versatility of our proposed architecture, we conducted a comprehensive case study encompassing multiple scenarios. The results of this study affirm the substantial benefits of our approach, showcasing its potential to revolutionise wearable data management and analysis. By providing a scalable and adaptive solution to the current limitations in wearable data management, our work lays the groundwork for further advancements in this field, promising to foster new research and applications in diverse domains.
Cloud-Native Application Security Training and Testing with Cyber Ranges

As cloud technology has become increasingly predominant in the last decade, more and more companies have been choosing to migrate to the cloud to leverage its cost-efficient services. Due to the hectic market pace, cloud security is often overlooked, thus leading to critical cyber attacks that can result in severe impacts, e.g., massive data leaks. Therefore, training appropriate personnel to secure cloud-native applications against these newly emerging threats is necessary. Currently, among the different cloud security training projects available, no environment is completely safe and gives full legal freedom since public providers host them, incurring their limitations. The proposed work aims to fill such a gap, discussing the implementation of a toolkit that can be used to implement a local cyber range safe and legally free from cloud providers’ constraints that can host vulnerable cloud-native applications to create training scenarios. The said toolkit was used to host our vulnerable-by-design cloud-native application. It was successively administered to a class of students through a CTF competition to assess its educative potential.
THE USE OF DIGITAL AUDIO IN ENHANCING EFL LEARNERS’ LISTENING PROFICIENCY

Listening is a critical ability to have, not only because of the time it takes in interactions but also because of its role in daily life. This study has been designed to explore the use of digital audio in promoting listening proficiency. Further research is required to determine how this position affects speakers of Indonesian who are learning English as a foreign language (EFL). A comparative study served as the foundation for this study's design. In this study, the research participants were at the upper secondary level, and their listening ability was examined in relation to the effects of digital audio (online podcasting on Spotify). Sixty students were involved in the study based on their performance on the placement test. Findings from the post-test showed that the group exposed to digital audio experienced an increase in their listening proficiency level, while the group not exposed to digital audio showed a little improvement in their proficiency level. By looking at the N-gain of their results, the group whose participants were not taught using active listening had an N-gain of 0.62, while the improvement of the second group resulted in an N-gain of 0.76, indicating that the group increased their listening proficiency level. The findings of this study showed that, with a result of 0.0235, there was no significant difference between the two teaching groups, where the significant value was greater than 0.005. claiming that while there is some difference between the two methods, it is not very much, and that both improve listening skills.
Bio-Inspired Security Analysis: A Domotic Use-Case

In a world that is heavily relying on connected computers for the efficient execution of most daily tasks, Computer Security is absolutely critical. Therefore, in order to perform a complete analysis, new models and paradigms are needed to better manage the complexity of systems for an automated and data-driven economy. In past work we have described a bio-inspired approach that leverages metabolic networks to enhance and facilitate the use of attack-graph analysis to evaluate the security of systems, namely the BIAM framework. In this paper we describe the application of the BIAM framework to the search, analysis and assessment of the vulnerabilities of a simulated real-world use-case in the field of home-automation and ambient-intelligence.
Shedding Light on the Energy Usage of Activity Recognition Systems in Homes

Activity recognition systems are composed of devices with sensors which, through artificial intelligence techniques, can detect activities performed by people in their homes. Many of these systems are deployed in multi-occupancy environments, so indoor localization approaches are combined with activity recognition systems to achieve discrimination of activities in the same space. The benefits of these systems are numerous such as remote monitoring for anomaly warning or improved safety of the monitored person. Although there is an extensive study on these systems from the technical point of view, there is an important gap in the literature on their energy consumption. This fact is even more relevant considering that one of the most important concerns in society is the prices of electricity and it has had a great variability, with increases, due to the pandemic and the war in Ukraine. This work aims to address this scientific gap through the energy evaluation of a home activity recognition system in two scenarios. First, an ambient intelligence apartment (Smart Lab) of the University of Jaén and, then, a single-family house. The evaluation carried out provides quantitative data considering the data of the year 2022, with a price between 3.125€and 4.018€and qualitative data from the point of view of patients, healthcare professionals and researchers.