Reviewerly/exHarmony huggingface dataset:
Day-Ahead Solar Irradiance Forecasting using a Hybrid Weather-Based Attention BiLSTM Approach for Power System Operation Scheduling

This paper introduces a hybrid attention-based bidirectional long short-term memory (BiLSTM) approach for forecasting day-ahead solar irradiance. The approach initiates by classifying days into sunny and cloudy categories using K-means clustering. Subsequently, an attention-based BiLSTM network is trained separately for each day type. The classification of days enables the separation of similar patterns, which are then learned by the BiLSTM network, taking into account long dependencies through the forward and backward flow of information. The attention mechanism aids in extracting relevant information by assigning weights to important features. By combining unsupervised classification, BiLSTM, and attention mechanisms, the proposed method significantly improves accuracy. Experimental results demonstrate that the proposed approach achieves an average NRMSE of 5% and outperforms LSTM, BiLSTM, and FFNN with classification and attention-based BiLSTM without classification. Furthermore, the effectiveness of solar irradiance forecasting is evaluated by simulating optimal power flow for the IEEE 39-bus system and demonstrates higher PV generation, lower curtailment, and more carbon emission reduction.
Thinking visually with Remarkable

Sketches, visualizations and other forms of externalizing cognition play a prominent role in the work of just about any scientist. It’s why we love using blackboards, whiteboards, notebooks and scraps of paper. Many folks who had the privilege of working the late Pieter Muysken fondly remember his habit of grabbing any old piece of paper that came to hand, scribbling while talking, then handing it over to you.
Digital Disengagement

How can we achieve digital justice in the age of COVID-19? This book explores how the pandemic has transformed our use and perception of digital technologies in various settings. It also examines the right to resist or reject these technologies and the politics of refusal in different contexts and scenarios. The book offers a timely and original analysis of the new realities and challenges of digital technologies, paving the way for a post-COVID-19 future. Leading experts in the field ask what digital justice looks like in a time of pandemic across various interdisciplinary contexts and spheres in science, technology and society from public health to education, politics and everyday life.
Networked Crime

Digital technologies make access to victims easier. However, what can be afforded digitally can and was often previously afforded by other means, suggesting that what is now achieved online is only old wine in new bottles. A second line of dispute is between those who argue that, by increasing concealment (encryption), the internet also increases the likelihood of anti-social behaviour; and those who suggest digital content is more open to surveillance than face-to-face (‘real-world’) interactions, which might deter deviance. A third line of dispute is between those who suggest digital networks increase scope for transnational regulation, and those who suggest the internet increases the scope for evasion beyond geographical, and therefore legal, constraints. A fourth dimension of dispute is between advocates of ‘real virtuality’, the idea that informational content has real effects in inciting action, and those who argue that blaming media content for human behaviour is fundamentally flawed. Examining these four affordances (access, concealment, evasion and incitement) in relation to four domains of crime (hate, obscenity, corruption and appropriation), this book answers the question: does the digital make a difference? In principle, the answer is no, as digital affordances are symmetrical, but asymmetry (difference) often arises in practice.
Strukturasi Adaptif Penggunaan Teknologi Informasi pada Instansi Pemerintahan

The implementation of periodic monitoring and evaluation is one of the keys to the successful implementation of bureaucratic reform in an organization. Various ways are carried out so that the implementation of evaluation monitoring is carried out periodically by each organization. Various components become objects that must be monitored and evaluated continuously. This is not an easy thing to do with its various complexities. One of the government agencies has implemented Information Technology as one of the efforts to implement scheduled, up to date and optimally evaluated bureaucratic reforms. With an adaptive structuring theory approach, this study aims to see how the adaptive structuring process in the use of e-monitoring applications qualitatively by interviewing a number of respondents who are Civil Servants in each Working Group in eight areas of bureaucratic reform changes. The results showed that the use of e-monitoring application is the process of structuring information technology on rules and resources produced and reproduced by users in the organization. Then there is an interplay between the information technology structure ofe-monitoring with the structure of features, other structures, and internal organizational systems. Adjustments made in interacting also give rise to a new structure that is continuously carried out by users so that it is legitimized in the use of e-monitoring as a process of monitoring and evaluating the implementation of bureaucratic reforms.
Library Recommendation System

Nowadays, the majority of online book retailers utilize their own recommendation engines to suggest books to their customers. Nonetheless, the majority of the times, the books that are suggested to users are irrelevant. This system aims to create a new strategy by utilizing the content-based filtering capability. This technique will result in a more refined and useful recommendation for the user. For testing reasons, a web-based prototype will be developed, and the system will be taught by feeding it data. Users will benefit from our recommendation system by having easier access to library materials and reduced resource waste.
Visualizing Cybersecurity Coverage using MITRE ATT&amp;CK Framework

This paper presents an innovative approach to visualizing cybersecurity coverage within the Zscaler Risk360 product, leveraging the MITRE ATT&amp;CK framework. Emphasizing a user-centered design methodology, the study integrates the complex ATT&amp;CK framework into a practical, interactive interface tailored for cybersecurity professionals. This interface combines qualitative and quantitative metrics, enabling users to assess the security posture of their organization effectively. The design process is informed by insights from semi-structured interviews with Chief Information Security Officers (CISOs) and subject matter experts, ensuring relevance and usability. The paper discusses key design decisions, including the integration of complex framework tree structures, color-coded coverage mappings, and a three-pane view for detailed analysis. Additionally, it explores extended use cases beyond the immediate application, suggesting potential for broader applications in various cybersecurity and compliance contexts. This work aims to enhance decision-making in cybersecurity management and inspire future research and development in cybersecurity and data visualization tools
Jay Asher’s “Thirteen Reasons Why” Sexual Abuse Phenomenon

This study aims to examine the types of sexual abuse that the protagonist of the book "Thirteen Reasons Why" encounters, as well as how the psychological effects of the abuse affect the protagonist. In examining the different types of sexual abuse and their effects in the book, the researcher combined a psychoanalytical approach with descriptive and analysis methods to determine how the abuse might alter the psychological state of the characters. For the purpose of actively gathering secondary data to improve the comprehension of this research, library research, internet-based research, and book reading strategies were used. According to the study's findings, there are three different types of sexual abuse that take place in the book "Thirteen Reasons Why": verbal abuse (such as slander and negative labeling) and non-verbal abuse (such as peeping toms) as well as physical abuse (such as touching and coerced sex penetration). The character also experiences extreme shifts, unjustified feelings, overwhelming emotions, and suicidal thoughts as psychological effects.
Leveraging Big Data Platforms in Water and Wastewater to Accelerate Machine Learning Optimization at a Regional Scale

Leveraging Big Data Platforms in Water and Wastewater to Accelerate Machine Learning Optimization at a Regional ScaleAbstractWith the abundance of data availability across treatment facilities, artificial intelligence is paving the way for unique optimization opportunities. The examples provided encompass the Agua Nueva Water Reclamation Facility (WRF), which concentrates on minimizing aeration energy expenses and enhancing nutrient management, as well as the Wilmington WWTF, emphasizing the optimization of disinfection chemicals. Several artificial intelligence (AI) and Bayesian modeling frameworks were developed with both sites using AI algorithms with mean absolute percentage errors &lt; 10% for both forecasting of future conditions at a facility, as well as causal inferencing for predicting water quality. Post deployment, both sites are regularly achieving anywhere from 10-30% savings in energy or chemical usage. These case-study demonstrates significant progress in the successful implementation of AI at a treatment facility and the ability to aid in the empowerment of treatment plant operators while improving efficiencies in wastewater treatment.This paper describes successful approaches taken for developing and deploying wide-scale machine learning algorithms in the water and wastewater industry. This includes lessons on the level of effort, investment, challenges, and benefits. Two case studies are presented: Agua Nueva Water Reclamation Facility (WRF) that focuses on reducing aeration energy cost and nutrient management, as well as Wilmington wastewater treatment facility (WWTF) with a focus on disinfection chemical optimization.SpeakerRegiste, JoshuaPresentation time13:30:0013:50:00Session time13:30:0015:00:00SessionPlanning and Process Improvement Case Studies: Winning with TwinningSession locationRoom S505b - Level 5TopicAdvanced Level, Energy Production, Conservation, and Management, Municipal Wastewater Treatment Design, Nutrients, Research and InnovationTopicAdvanced Level, Energy Production, Conservation, and Management, Municipal Wastewater Treatment Design, Nutrients, Research and InnovationAuthor(s)Registe, JoshuaAuthor(s)J. Registe 1; J. Rickermann 2 ; B. Johnson 3; J. Registe 1;Author affiliation(s)Jacobs 1; Jacobs 2 ; Jacobs 3; Jacobs 1;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825159226Volume / Issue Content sourceWEFTECCopyright2023Word count18
University Students’ and Lecturers’ Needs in General English Subject at PGRI Silampari University

This research aimed to find out the University Students’ Needs in Learning General English Subject at PGRI Silampari University and the lecturer needs in designing RPS. The method in this research was descriptive qualitative. The population of this research was non English education study program students especially history education study program consist of 130 students. The sample of this research was sixth semester students with 28 students that was choosen by using purposive sampling. The data were collected by using questionnaire and interview. After that, the data were analyzed with description. The results showed that the purpose most of students learn English is being able to communicate with English and can speak English fluently. The students’ want from the lecturer were to help them to mastering English skills, make an enjoyable class, and give them interesting teaching method. Students’ wants of using English skills were they can being able to communicate with English, they can understand what the lecturer said in English, and can help them in applying job in the future. Furthemore, the students’ lacks were in speaking English, lack in writing, lack in listening and less of confidence with their skills. As the conclusion, the students’ needs more spesific English material that related to their major and interesting learning method from the lecturer to fulfil their needs. The lecturers’ need in designing syllabus were the lecturer should know the used of curiculum and what do the students usually learn. From those aspect the lecturer looking for the references that can be used to design materials to be given in one semester, which are on the syllabus add English components and English skills that related to their need and major. And also the material is more adapted to topics related to history education study program.&#x0D; Keywords: General English Subject, Lecturers, Need Analysis, Students
English Pragmatic Competence of Col Language Speakers in Using Expressive and Commissive Acts at Lubuklinggau

This research aimed to explain the English Pragmatic Competence of Col language speakers in using expressive and commissive acts and to find out the extent to which Col language pragmatic competence influence the production of English pragmatic competence in expressive and commissive acts. The method used descriptive qualitative. The research subjects were 20 students who studied English consisting of students, collage students and graduates at Lubuklinggau. The data were collected by using questionnaire and pragmatic competence test. After that, the data were analyzed with description. From tests conducted by researcher, informants answered all tests according to different situations. The pragmatic competence of Col language speakers in using expressive and commissive acts, most of them understand that. Of all the expressions, there is no significant negative transfer from L1 and L2 production to English because all percentages are below 50%, which means they don't influence in English pragmatic production. In conclusion, Col speakers understand the use of appropriate expressions in different situations, namely in formal and informal situations.&#x0D; Keywords: Col Language Speakers, Commissive Act, Expressive Act, Pragmatic Competence
Sentiment Analysis of BNI Mobile Application Using The K-Nearest Neighbor Algorithm (KNN) With Particle Swarm Optimization (PSO) Feature Selection

Analysis sentiment is field studies analyze opinions, sentiments, evaluations, attitudes and emotions to entity like products, services, organizations, individuals, issues, events, films and topics. Sentiment analysis first succeed used previously in various fields, such as movie ratings, service ratings, product ratings, etc. and recently This get popularity in the field economy especially on e- commerce applications. Moment This industry banking do various innovation finance that is shift their focus from banking traditional to banking based technology for fulfil need customers as well as For increase Power competitive. Mobile banking is one of them from innovation that. Response in use of this mobile banking application enter every the day with amount response as much hundreds so that response the difficult For sorted become responses included positive or including negative response. Study This using private data which is comment BNI Mobile banking application in the application laystore. Existing data Then will be done preprocessing with do a number of stages, ie started from tokenization, stemming, stopword removal and Term Frequency Inverse Document Frequency (TF-IDF) was carried out. Initial process carried out in classification is accept input comment data then the preprocessing process is carried out, then included in the classification model, method classification used is K-Nearest Neighbor with particle swarm optimization Optimization and finally is the results issued is accuracy from method used. After That researcher do optimization use one algorithm optimization namely PSO with combine with KNN or called KNN-PSO gain accuracy of 92.33% or only has an error of 7.67%. If seen from the amount of data is successful do classification as many as 277 data, in meaning only has 23 errors or missing data succeed classified with good.
Quantum Computing Algorithms for Nonlinear Optimization Problems

The increasing complexity of real-world optimization problems highlights the importance of this research since classical algorithms are unable to provide efficient answers in these cases. Innovative methods for fast and scalable resolution of nonlinear optimization problems are required because these problems are prevalent in many fields. The potential for quantum computing to speed up optimization processes and overcome classical limitations is great, owing to its superposition principles and intrinsic parallelism. The integration of quantum algorithms (I-QA) into real-world applications, however, will not always be smooth sailing. There are significant challenges associated with preserving quantum coherence, correcting errors, and working within hardware limits. To enable the simultaneous exploration of solution spaces through quantum parallelism, this research proposes the Hybrid Quantum Gradient -Classical Approach (HQG-CA), which makes use of parameterized quantum circuits to represent probable solutions. Additionally, improves convergence rates through applying quantum gradient information to direct optimization in the quantum state space. Optimization of portfolios in finance, adjustment of model parameters in machine learning, and optimization of routes in logistics are a few examples of the many industries that find use for HQG-CA. These applications are explored in this abstract, which highlights the revolutionary potential of HQG-CA to solve optimization problems in the real world. The effectiveness of HQG-CA is assessed through a thorough simulation experiment. Performance measures such algorithmic speedup, solution accuracy, and scalability are discussed, which is based on extensive testing and comparison with classical alternatives. The present research provides a comprehensive evaluation of HQG-CA's potential for tackling nonlinear optimization problems.
Developing an E-module of Paragraph Writing Subject in a Private University Using Genre Approach

The purpose of this paper was to develop an E-module of writing paragraph subject using genre Approach, particularly Reading to Learn. This paper used a research and development approach. The result of three expert review showed that the prototype of the product was categorized as having high validityas indicated by the average score of questionnaires on content with 4.4, the instructional design 3.9, and media (3.9). Moreover, the module was also categorized as highly practical as indicated by the average score of one-to-one evaluation (4.22) and small group evaluation (4.29). Meanwhile, the result of field test evaluation showed that there was an improvement in students writing with the mean 75.18 was the final result (post-test) which was considered as high. There was an improvement made by students after the researcher gave them a treatment by using the E-module. &#x0D; Keywords: E-module, Genre Approach, Narrative Paragraph, Reading to Learn, Writing Skill
Cooperative Learning for Improving Students' L2 Willingness to Write in Creative Writing

The aim of this research is to investigate the effectiveness of cooperative learning in improving students’ L2 willingness to write in creative writing. To assess the effectiveness of the instrument in the study, classroom action research is the method that will be used to measure in student learning or achievement as a result of an intervention, a pre-test and post-test are commonly used instrument in classroom action research. The study’s finding revealed that the classroom action research group’s L2 willingness to write in creative writing improved significantly after the cycle of cooperative learning instruction. The findings support cooperative learning’s effectiveness in improving students’ L2 willingness to write in creative writing. According to the findings, incorporating cooperative learning into language instruction is a promising approach for improving writing skills in the L2 context.&#x0D; Keywords: Classroom Action Research, Cooperative Learning, Creative Writing, L2 Willingness to Write
The Utilization of Instructional Media Used by Indonesian Pre-Service Teachers to Facilitate Student's English Vocabulary Learning: Thai Primary Students' EYL

This article aims to find the instructional media used by Indonesian Pre-service teachers to teach vocabulary to Thai primary school and how they used those instructional media in the classroom. The method used is qualitative method with a case study approach. The result showed that Indonesian Pre-service teachers used various kinds of instructional media as aids to teach English vocabulary such as Printed Pictures as a tool and Drilling method for classroom implementation, Animated Pictures with PPP (Presentation, Practice, and production) Method, Board games with PPP(Presentation, Practice, and production) method to teach vocabulary at primary schools in Thailand. The conclusion is Indonesian Pre- service teacher used innovative and creative instructional media together with the right method will make learning more effective so that the learning objectives can be achieved.&#x0D; Keywords: Instructional Media, Teaching Vocabulary, Young English Learner
Citizens' perception of the police's human rights protection policy

Police organizations have been attempting to change to human rights-friendly police by reorganizing the human rights-related legal system. However, questions still remain as to how much citizens are experiencing such changes and whether they are highly receptive to the police's human rights policy. Therefore, this study attempted to analyze citizens' perceptions of the police's human rights protection policy and what variables affect their perceptions. Specifically, the effect of the experience of human rights violations through the media, police trust, and human rights policy awareness on citizens' perceptions of the police's human rights protection policy was empirically analyzed. To this end, an online survey was conducted on a sample of 800 people proportionally allocated by gender, age, and region. As a result of the analysis, the average of the questions on the relationship between police activities and human rights was all over 3.4. In addition, citizens recognized that the life safety function was most related to human rights protection activities. Citizens highly recognized the necessity of the criminal management system and the victim assessment report. As a result of regression analysis, it was confirmed that the experience of human rights violations through the media, trust in the police, and awareness of the human rights policy had a statistically significant effect on the Citizens' perception of the police's human rights protection policies.
Educational implication through comparison of Korean beginner textbook reading text structure: With a focus on rhetorical structure characteristics

This study compared and analyzed rhetorical structure to solidify text hierarchization according to the Rhetorical Structure theory in Korean elementary textbooks. Therefore, 70% of Korean beginner reading text suggests that it needs to be composed with a center of joint, sequence, elaboration, and cause and effect relationship. Likewise, schematic relationship appearing with semantic relationship, needs to be composed to appear incomplete three-stage composition and complex deformation structure, and an educational effect may exist in various language functions. Based on this result, this study helps set the foundation for Korean beginner reading text hierarchization.