Reviewerly/exHarmony huggingface dataset:
Mapping the Literature and Future Research Agenda of Employee Engagement: A Bibliometric Analysis of the past 20 years

Purpose: The aim of this study is to highlight the intricacies involved in the conceptualization and theorization of Employee Engagement in the past twenty years. By analyzing the antecedents and, this study aims to identify the gaps in the present literature so that future research directions can be deliberated.&#x0D; Design/methodology/approach: This research applies a bibliometric analysis approach in order to synthesize upcoming themes in the area of employee engagement.&#x0D; Findings: Employee Engagement as a concept has been widely conceptualized and mainly differentiated into two dimensions – psychological or attitudinal and behavioural. Less research has taken place on the behavioural front of the topic wherein the extra-role performance by engaged employees’ discretionary behaviour should be studied. Also, factors like the nature of work and leadership, and emotional intelligence need attention.&#x0D; Limitations: The present study has only undertaken articles and has not focused on book chapters, conference proceedings and focused on English language research papers. Also, the study excluded research studies where engagement was examined as a moderator or mediator as the emphasis was on understanding the antecedents of engagement.&#x0D; Implications: Since engagement levels have dropped in the past decade, it becomes imperative for practitioners to overhaul it’s understanding and make every employee’s experience a unique one by engaging them.
Optimizing AWS lambda code execution time in amazon web services

One of the problems in providing infrastructure is the lack of interest in managing infrastructure. AWS Lambda is a FaaS (Function as a Service) service that allows users to run code automatically in an environment managed by Amazon Web Services. In this study, the method used is to collect data on code execution time at various input sizes, then perform an analysis of the factors that affect execution time. Furthermore, optimization is carried out by selecting the appropriate memory size and proper coding techniques to improve performance. The results show that optimizing memory size and coding can improve code execution time performance by up to 30%, depending on the type of service used. This can help AWS Lambda users improve code performance and save on operational costs.
The use of social media for earthquake and Tsunami information

As one of the countries being passed by the Pacific Fire Circle (Ring of Fire), Indonesia is prone to earthquakes. Recently, an earthquake and tsunami occurred. A new disaster occurred in Central Sulawesi, Indonesia, resulting in the destroyed buildings and houses. This occurrence of the disaster was quite shocking to various countries. News of the occurrence of natural disasters immediately went viral through various social media due to the residents' and BMKG's posts. Social media is greatly involved in natural disaster cases as it facilitates analysis on the conditions and situations of earthquake-affected areas. Besides, it also functions to disseminate earthquake information. By using social media, such as Twitter and Facebook, we may rescue the directly affected individuals. It can also be means of sharing information and ways for people in and outside disaster-affected areas to volunteer and provide support-based information to affected individuals. Additionally, social media can perform important assistance functions such as identification of safety, placement of displaced people, provision of damage information, support for disabled people, volunteer organizations, fundraising, and a moral support system. This study discusses the potential usage of social media in disaster preparedness and response, especially in Central Sulawesi, Indonesia, earthquakes and tsunamis.
Elliptic curves over a finite ring

Let Fq be a finite field, where q is a power of a prime p such that p&gt;5. Let \alpha be a root of a monic polynomial of a minimal degree over Fq. In this paper, we will study elliptic curves over (Fq[\alpha],+,*), where + is the usual addition and * represent a non-standard product law over Fq[\alpha]. Elliptic curves over this ring can be used to create a new type of cryptography. The method is fast, simple, and secure.
Machine Learning and the Physical World

Machine learning technologies have underpinned the recent revolution in artificial intelligence. But at their heart, they are simply data driven decision making algorithms. While the popular press is filled with the achievements of these algorithms in important domains such as object detection in images, machine translation and speech recognition, there are still many open questions about how these technologies might be implemented in domains where we have existing solutions but we are constantly looking for improvements. Roughly speaking, we characterise this domain as “machine learning in the physical world”. How do we design, build and deploy machine learning algorithms that are part of a decision making system that interacts with the physical world around us? In particular, machine learning is a data driven endeavour, but real world systems are physical and mechanistic. In this talk we will introduce some of the challenges for this domain and and propose some ways forward in terms of solutions.
Augmenting reality with The World Avatar - automating data centric engineering

The advent of digitalization brings forth new opportunities for data-centric engineering, leading to increased efficiency in the realms of science, engineering, and society. However, the implications of digitalization for environmental and social sustainability remain uncertain. We suggest that knowledge graph technology plays a pivotal role in addressing this challenge. In this presentation, I will introduce "The World Avatar," a dynamic knowledge graph (dKG) designed to construct a comprehensive digital replica of the world at large. I will elucidate the core concepts and principles underpinning this initiative, showcasing how it can facilitate seamless integration among various data formats and software systems, ultimately enabling automated data-centric engineering. Additionally, I will present a variety of use cases that demonstrate how The World Avatar can support cross-domain applications spanning diverse scales, from the molecular level to the global stage. These applications aim to enhance efficiency, reduce costs, diminish carbon emissions, and bolster resilience.
Data Visualization – The Effect of Graph Animation on Persuasiveness

To make data visualization more attractive, not just color or different shapes are used, but also animations are nowadays added to graphs. Software tools for data visualization use different representation styles or display features and include animation in the data visualization process. Until now, the positive effect of different representation styles has been taken for granted in practice. However, this raises the question of the extent to which such representation styles are effective and what results can be seen in research in this regard. A literature review on data visualization is given to examine this in more detail. It was considered to what extent there are already findings on whether animated graphs have an effect on consumers’ behaviors. In the following work, we mean by an animated graph, a graph that is not visible from the beginning. Instead, the graph builds up over time. This way, motion is added to the graph. The literature review shows that data visualization has been studied more frequently in some areas. In marketing, this has received less consideration so far. Animations in graphs have not been studied much in the literature.
Generative Agents to support students learning progress

Ongoing assessments in a course are crucial for tracking student performance and progress. However, generating and evaluating tests for each lesson and student can be time-consuming. Existing models for generating and evaluating question-answer pairs have had limited success. In recent years, large language models (LLMs) have become available as a service, offering more intelligent answering and evaluation capabilities. This research aims to leverage LLMs for generating questions, model answers, and evaluations while providing valuable feedback to students and decentralizing the dependency on faculty.We finetune existing LLMs and employ prompt engineering to direct the model toward specific tasks using different generative agents. One agent generates questions, another generates answers, and the third takes the human answers to evaluate and ensure the quality. Human evaluation is conducted through focus group analysis, and student progress and faculty feedback are tracked. Results demonstrate the potential of LLMs to provide automatic feedback and learning progress tracking for both students and faculty.In conclusion, this paper demonstrates the versatility of LLMs for various learning tasks, including question generation, model answer generation, and evaluation, all while providing personalized feedback to students. By identifying and addressing knowledge gaps, LLMs can support continuous evaluation and help students improve their understanding before semester exams. Furthermore, knowledge gaps from students identified by the agent can be highlighted and addressed through additional classes or support materials, potentially generated by the same model, leading to a more personalized learning experience.
Opportunity to Excel: Now and the Future (Presidential Address)

Availability of opportunities implies that people have a range of life options, specifically economic, to pick from, and have a realistic chance to adopt what they want to do and succeed in it. For Pakistan, where nearly sixty percent of the population is aged under 30 years, opportunities become even more significant. The fact that we live in a world where technology is changing the way things are done at an unprecedented pace makes it very easy for those not keeping up to be left far behind, without opportunities.
Platform Engineering for cloud-native organizations

Cloud Computing allows companies to scale seamlessly, providing a broad range of state-of-the-art services. Another promise is to free users from the operational and administrative burdens [1]. However, with the advent of cloud-native applications [2], this promise becomes questionable – especially when DevOps [3] principles are used during development. Experience from practice shows that teams often struggle dealing with both the infrastructure, finding the right architecture, and implementing business logic. When working in decentralized teams, things are even worse, as standardization across teams cannot be assumed. To tackle those issues, automation by means of techniques such as Infrastructure-as-code [4] help to ease to cope with infrastructural concerns. However, when working with several teams in a decentralized manner, operational overhead is still there. Organizations struggle with standardization of infrastructure code and there is no clear centralized visibility for security-related concerns within the development lifecycle. To address these issues, we propose two things: First, building up a Platform Team [5], which serves as an organizational structure for continuous delivery. A Platform Teams can be the size of a typical small DevOps Team and support the whole organization with standardized security-hardened modules. Second, an Ops-Platform is needed that is operated by the Platform Team to centrally provide and maintain those modules. Other Dev-Teams can then consume those modules. In this paper, we report insights from the implementation of this approach in practice. We find out that developers are 75% less focused on operations by using such a platform and name specific success factors. References [1] Borenstein, Nathaniel, and James Blake. "Cloud computing standards: Where's the beef?." IEEE Internet Computing 15.3 (2011): 74-78.[2] Kratzke, Nane, and Peter-Christian Quint. "Understanding cloud-native applications after 10 years of cloud computing-a systematic mapping study." Journal of Systems and Software126 (2017): 1-16.[3] Ebert, Christof, et al. "DevOps." Ieee Software 33.3 (2016): 94-100.[4] Morris, Kief. Infrastructure as code. O'Reilly Media, 2020.[5] Leite, Leonardo, et al. "Platform teams: An organizational structure for continuous delivery."Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops. 2020.
Preserving Artistic Legacy: A Frame-Guided Approach for Color Recovery in Aged Tangka Paintings

Over time, the colors in old Tangka paintings can fade due to various factors, including exposure to light, air pollution, humidity, and dust deposition. Interestingly, the frame acts as a physical barrier between the artwork and its surroundings, offering some protection against the harmful factors that contribute to color fading. In this paper, we propose a novel approach to recover the faded colors of Tangka paintings by leveraging the visual cues provided by the frame-covered area. Our method involves the development of an interactive annotation pipeline and the utilization of histogram matching for color restoration. We applied this approach to faded, aged Tangka paintings in Palace Museum’s collection and achieved visually plausible color recovery, even for intricate patterns that are challenging to restore manually.
Hubungan Tingkat Kepatuhan Minum Obat Pasien Tuberkulosis Terhadap Efek Samping Obat Anti Tuberkulosis (OAT)

One of the causes of failure in tuberculosis treatment therapy is the incidence of side effects of anti-tuberculosis drugs (OAT) which can affect drug adherence in tuberculosis patients. The purpose of this study was to evaluate the relationship of OAT side effects to patient medication adherence at the Sungai Betung Public Health Center, Bengkayang Regency. The method in this research is an observational study with a cross sectional study design . The study design was a non-experimental epidemiological study. Data was collected by collecting medical record data and questionnaires containing 11 questions related to OAT side effects and drug compliance. The results showed the characteristics of the majority of patients of productive age as much as 71.42%, male sex of 82.85% and the average being undergoing a category 1 treatment regimen. Distribution of OAT side effects, as many as 51.43% of patients responded well to side effects. OAT and the remaining 48.57% of patients did not respond well to OAT side effects, while the distribution of patient compliance in taking drugs was 65.71% of patients had high adherence and 34.29% of patients had low adherence. The results of statistical tests to determine the relationship between OAT side effects on adherence using the Chi-square test showed p value0.05 (p value= 0.024) then Ho was accepted. The conclusion is that there is a significant relationship between OAT side effects and adherence to medication for pulmonary tuberculosis patients at the Sungai Betung Public Health Center, Bengkayang Regency.
Pengembangan Media Game Based Learning (GBL) Pada Pembelajaran Dasar Kuliner Siswa SMK Program Keahlian Kuliner Kelas X

This study aims to determine: (1) the result of development of media GBL used in basic culinary learning class X, (2) feasibility of GBL media for basic culinary learning for class X culinary vocational students, (3) Vocational students’ responses to GBL media in basic culinary learning. This research method is R&amp;D with Plomp development model with five stages (prelimenary investigation, design, realization, test;evaluation;and revision, implemented), but due to research limitations, this research was carried out until 4th stage. The media validation involved three material experts and three media experts. The research object is a wordwall game and students responses. The instruments used for the feasibility of the game include material validation, media, and questionnaires to see student responses. As for the technique of data analysis carried out quantitatively. The result showed: (1)the result of the media that had been made in from of a QR code that can be scanned by readers, (2) the result of material and media validation with an average value 77,86% and 88,94% included worth with a little revision and (3) student responses have an average score 89,05% with very good interpretation. This indicates that the development of wordwall game can be used in learning.
Evaluasi Pelaksanaan Program Gerakan Literasi Sekolah Di Sekolah SMAN 1 Kualuh Selatan Labuhan Batu Utara

Literacy is the ability to read and write. Even so, the notion of literacy can still be developed further, because literacy which only consists of reading, writing and arithmetic is now not enough, but must also include reading and writing as previously mentioned, numeracy literacy, scientific literacy, financial literacy, information and communication as well as cultural literacy and citizenship. This article aims to evaluate the implementation of the School Literacy Movement program at SMAN 1 Kualuh Selatan Labuhan Batu Utara. This type of research is descriptive evaluation research where data is collected mainly through surveys, namely interviews, observation and distribution of questionnaires to research subjects.&#x0D;
Analisis Kemampuan Menulis Teks Deskripsi Siswa Kelas V SD Negeri Kemuning

Writing descriptive essays is one of the basic competencies of the 2013 Curriculum implemented in class V of SD Negeri Kemuning. The goal to be achieved in this study is to describe the ability to write descriptive essays for fifth grade students of SD Negeri Kemuning based on the results of performance tests. This research uses descriptive qualitative research through a case study approach. In the differentiated learning activities carried out by the teacher in the classroom, the source of the data in this study was a document in the form of a student's description essay. The ability to write essay descriptions of students is included in the sufficient category with a score range of 60-70. Students' ability to write descriptive essays is influenced by students' difficulties in writing, namely difficulties in expressing ideas, developing sentences, determining good and correct spelling, and concentrating.
Role-Playing Method for Students' Interpersonal Communication Improvement

Interpersonal communication involves interaction between two or more people, usually with a direct connection and with some sort of relationship being assumed. Interpersonal communication is often distinguished from group communication, organizational communication especially in corporate or business settings, public communication, or mass communication. The lack of students’ communication activities signed by the students’ commonly shy to speak up or delivering their idea. Most of them have a high anxiety in speaking. It also supports with there are no activities outside classroom in enhancing their capacity in speaking. The important thing to remember is that interpersonal communication is not part of an innate personality trait, but is a skill that can be learned and trained. &#x0D; This research aims to improve the ability of interpersonal communication by role playing method for second year students of Digital Business and Disaster Management Program of Akbara Polytechnic. This research is a Classroom Action Research. Subject of this research is 20 students. The data collection methods are test and observation. The first cycle of role-playing action is based on the drama script. The first and the second cycle focused on the aspect of speaking ability especially for grammar, diction/vocabulary, pronunciation, fluency, and comprehension. The second cycle of role-playing action is based on the drama script but the students’ roles are changed. The second cycle is focused on the aspect of equality which is still lack of it. The improvement of the teaching learning process can be shown by the result of students’ speaking observation such as the students being active to deliver their character, use the correct grammar, delivering the message of the character fluency and comprehension, minimum the hesitation, and use various vocabularies. Moreover, the improvement also can be seen form the students’ average test score of speaking, they are: (1) the students’ average pre-test score is 60,4; (2) the students’ average post-test score on the first cycle is 73,8; (3) the students’ average post-test score on the second cycle is 89,5. It can be concluded that role-playing method can enhance the students’ ability of interpersonal communication for student of second grade students of Digital Business and Disaster Management Program of Akbara Polytechnic.
Systematic Literature Review (SLR): Efektivitas Model Pembelajaran Kooperatif Tipe Jigsaw terhadap Hasil Belajar Matematika Siswa Sekolah Dasar

The cooperative learning model of the jigsaw mathematics learning type can present a new atmosphere in the learning process, increase students' interest and self-confidence, so that they actively participate in learning activities and class discussions. The purpose of this study is to increase self-confidence in group results and to be active with friends. The method used in this study uses the SLR (Systematic Literature Review) method. Data collection was carried out by documenting all articles with similar research in the research report used in this study 24 articles which then became 7 articles and the final 2 articles were national journals obtained from the Google Scholar database through the publish or perish application. In this study it was found that the mathematics learning model uses a jigsaw cooperative learning model to increase self-confidence, friendship, and activities with friends to learn mathematics.
Penerapan Model Cooperative Integrated Reading and Composition (CIRC) dalam Pembelajaran Keterampilan Menulis Teks Deskripsi pada Peserta Didik Kelas VII SMP Negeri 5 Pati Tahun Pelajaran 2022/2023

This research was conducted due to the inaccuracy of SMP Negeri 5 Pati educators in using the learning model used in learning descriptive text writing skills. The application of the lecture-based Discovery Learning model has a negative effect on students becoming inactive and having difficulty describing an object quickly. The learning outcomes obtained by students were also unsatisfactory. Seeing this situation, I am encouraged to seek the application of other learning models to support the success of learning descriptive text writing skills for class VII students of SMP Negeri 5 Pati. The learning model used is the Cooperative Integrated Reading and Composition model. The data collection method applied is a qualitative method. This research was in class VII B SMP Negeri 5 Pati with a total of 32 students. Data collection techniques applied are test techniques and non-test techniques. From the research conducted, it is explained that learning the skills of writing descriptive text with the Cooperative Integrated Reading and Composition model can make it easier for students to describe or describe objects quickly. From the research data, the highest score was 86 - 100 (very good) for 24 students and 76 - 85 for 8 students.