Reviewerly/exHarmony huggingface dataset:
Numerical and Visual Representations of Uncertainty Lead to Different Patterns of Decision Making

Although visualizations are a useful tool for helping people to understand information, they can also have unintended effects on human cognition. This is especially true for uncertain information, which is difficult for people to understand. Prior work has found that different methods of visualizing uncertain information can produce different patterns of decision making from users. However, uncertainty can also be represented via text or numerical information, and few studies have systematically compared these types of representations to visualizations of uncertainty. We present two experiments that compared visual representations of risk (icon arrays) to numerical representations (natural frequencies) in a wildfire evacuation task. Like prior studies, we found that different types of visual cues led to different patterns of decision making. In addition, our comparison of visual and numerical representations of risk found that people were more likely to evacuate when they saw visualizations than when they saw numerical representations. These experiments reinforce the idea that design choices are not neutral: seemingly minor differences in how information is represented can have important impacts on human risk perception and decision making.
Set-membership State Estimation for 2-D Roesser Systems Based on Zonotope Radius and its Application

This paper is concerned with the problem of zonotopic set-membership state estimation for 2-D Roesser systems subjected to unknown-but-bounded disturbance. First, a general guaranteed state estimation algorithm is designed to obtain a set of zonotopes containing the system states that are consistent with the model parameters and the measurement outputs. Then, based on the constructed P-radius functions, an optimal correction matrix design criterion with L∞ performance is provided for the obtained zonotope. Furthermore, an offline optimization problem is constructed to obtain the optimal correction matrix. Finally, a numerical example is provided to certify the effectiveness of the proposed approach.
High-Capacity Quantum Private Comparison Protocol With Six-Qubit Hyperentangled Bell States and Hypercoding

Based on the two-photon six-qubit hyperentangled Bell states and hyper-coding, a new high-capacity quantum privacy comparison (QPC) protocol is proposed to realize a high utilization of quantum resources. The protocol enables two particles of hyperentangled Bell states to compare the equality of 6 classical bits of secret information between two quantum users. The unitary operations are used to encode the secret information and achieve dense coding. In the proposed protocol, decoy photons and the quantum uncertainty principle are used to ensure transmission channel security and particle security. comparisons with other QPC protocols in terms of quantum resources and efficiency reveal that the proposed protocol has significant advantages in quantum efficiency.
Teacher’s Efforts in Improving Reading Literacy with SI PANCA Extracurricular (Siswa Pandai Membaca) in Elementary School

Education is crucial for everyone because it emphasises the importance of reading literacy, which is a skill that everyone should possess because it can help people learn new things and gain new insights from their previous reading. The aim of this study is to find out the teacher’s efforts in improving reading literacy with the SI PANCA extracurricular (Siswa Pandai Membaca) in classroom. The method used was a qualitative method with a phenomenological design, namely discussing the process and meaning of phenomena as the reality of the subject at Sekolah Dasar (SD) Muhammadiyah Wonorejo. Research data was collected using interviews, observation, and documentation. The points in the interview were efforts to increase reading literacy with SI PANCA, factors that influence SI PANCA, and solutions to overcome SI PANCA constraints. Points of observation included the objectives of SI PANCA, plans to improve reading literacy with SI PANCA, SI PANCA plans that help learning, and materials used in SI PANCA that can support the learning process. The results of this study indicated that the extracurricular SI PANCA programme had a great impact on teaching and learning activities because students become fluent readers and are independent readers of material that previously had to be read by the teacher, as well as an increase in reading literacy skills in students both at school and at home. In conclusion, the extracurricular SI PANCA at SD Muhammadiyah Wonorejo is going well with the progress of students’ abilities.
Matching Degree Between University Students' Digital Literacy and the Current Situation of Mobile Language Learning

Based on the current situation of university students' mobile phone language learning, this paper investigates whether university students' digital literacy can effectively support their mobile phone language learning, aiming at clarifying the matching between university students' digital literacy and the current situation of mobile phone language learning, and constructing corresponding application mechanisms. It is found that university students' existing digital literacy can not effectively support their mobile language learning practices, which shows that the former has a significant impact on the application level of the latter. The two are significantly related in many elements, but the matching degree between many pairs of related elements is low and the deviation is large: the existing acquisition skill of digital literacy have a negative impact on the satisfaction and usefulness of mobile language learning; Low-level creative skill have a negative impact on the usefulness, convenience and satisfaction of mobile phone language learning. Therefore, measures such as promoting the development of general digital literacy to specialized digital literacy, adopting digital literacy promotion plan that integrate daily contact and training interventions, carrying out teaching activities based on low deviation matching, and using demographic characteristics to adjust digital literacy can improve the level of mobile language learning adoption.
Exploring a Multi-Layered Cross-Genre Corpus of Document-Level Semantic Relations

This paper introduces a multi-layered cross-genre corpus, annotated for coreference resolution, causal relations, and temporal relations, comprising a variety of genres, from news articles and children’s stories to Reddit posts. Our results reveal distinctive genre-specific characteristics at each layer of annotation, highlighting unique challenges for both annotators and machine learning models. Children’s stories feature linear temporal structures and clear causal relations. In contrast, news articles employ non-linear temporal sequences with minimal use of explicit causal or conditional language and few first-person pronouns. Lastly, Reddit posts are author-centered explanations of ongoing situations, with occasional meta-textual reference. Our annotation schemes are adapted from existing work to better suit a broader range of text types. We argue that our multi-layered cross-genre corpus not only reveals genre-specific semantic characteristics but also indicates a rich contextual interplay between the various layers of semantic information. Our MLCG corpus is shared under the open-source Apache 2.0 license.
RETHINKING EDUCATION

Teacher: Lox, you can’t do that!Me: Why not?Teacher: Because I say so!Me: Right, this is the big problem. Grown ups still don’t get it. You went to school thirty years ago and you are just carrying on like those teachers you didn’t like back then, who told you what to learn and how to learn it. When they would sit you down in a classroom and force you to learn.Learning is something we choose to do. When a child goes to school they are hardly ever listened to and are not treated as equal beings. Children are not grown ups in waiting. They are just as important but learn things in a different order to you. Even if I can’t yet do my eight times table I can drum, dance and rap.So, what are you doing? Let’s change the playbook. That’s why we are all here, right?
Joint Encryption Model Based on a Randomized Autoencoder Neural Network and Coupled Chaos Mapping

Following an in-depth analysis of one-dimensional chaos, a randomized selective autoencoder neural network (AENN), and coupled chaotic mapping are proposed to address the short period and low complexity of one-dimensional chaos. An improved method is proposed for synchronizing keys during the transmission of one-time pad encryption, which can greatly reduce the usage of channel resources. Then, a joint encryption model based on randomized AENN and a new chaotic coupling mapping is proposed. The performance analysis concludes that the encryption model possesses a huge key space and high sensitivity, and achieves the effect of one-time pad encryption. Experimental results show that this model is a high-security joint encryption model that saves secure channel resources and has the ability to resist common attacks, such as exhaustive attacks, selective plaintext attacks, and statistical attacks.
Research on Time Series Imputation Based on Generative Adversarial Network

Time series data is collected in chronological order to represent how the collected data changes over time. This type of data is susceptible to interference from external factors that ultimately make the data missing. Missing data will cause the lack of some historical information, and it is not conducive to the development of downstream tasks. In recent years, Generative Adversarial Networks (GAN) GAN is widely used in image processing tasks and has achieved good results, which can also be applied to time series generation and interpolation tasks. We analyze the types of time series data missing, the structure of general GAN, and compare three models such as E2GAN, BIGAN and MBGAN, focusing on the comparison of the model composition of generator and discriminator, so as to provide ideas for the subsequent optimization application of GAN in time series data imputation.
Design of a System for the Protection of Cardiac Data

The recording, processing, analysis and storage of cardiac data is an essential step in achieving better care for the cardiac health status of patients. An important aspect in the processing and access to this type of data is the ability to reliably protect it from unauthorized access. The article shows an automated system for registration and mathematical analysis of cardiac data and methods for their protection. Information protection is achieved by implementing two-factor authentication. The characteristic of two-factor authentication is that access to the system takes place in two stages: entering a password as the first step and a code/key as the second. In this way, for protection, unauthorized access to the patient 39 file, including personal information and results of cardiac tests, is prevented.
IMPROVING THE TENTH-GRADE STUDENTS’ READING COMPREHENSION ACHIEVEMENT THROUGH KWL (KNOW-WANT LEARN) STRATEGY

The objective of this research was to get empirical evidence of the improving the tenth grade students’ reading comprehension achievement through KWL (Know-Want-Learn) Strategy of narrative text. The population was the tenth grade students at SMK Negeri 2 Palembang. There were 806 students and 60 students were taken as the sample purposively. They were divided into 2 groups. Namely, experimental group and control group. Each group consisted of 30 students. In collecting the data, the test were used (pretest and posttest). The writer used paired sample t-test (pretest- posttest) and independent sample t-test. In conclusion, there was improving using Know-Want-Learn strategy reading comprehension of narrative text, it could be seen from the results of pretest experimental group was 50.73 and the results of the posttest increased to be 78.60. The mean of score pretest and posttest experimental was 13.267. The results of pretest in control group was 48.07. The results posttest increased to be 61.53. The mean of score pretest and posttest control was 6.867. And also there was significant mean difference between the students showed that pretest and posttest experimental group was 78.60 and pretest-posttest control group was 61.53.
Peranan Angka Latin Dalam Meningkatkan Hasil Belajar Bahasa Mandarin Pada Siswa Kelas XII Jurusan Bahasa SMA Santa Ursula Jakarta

&lt;p&gt;&lt;strong&gt;Mandarin is one of an international language that is increasingly widely used but has a high level of difficulty to learn. The existing Chinese teaching methods need to be added new methods to make it more interesting, one of them is by using the Latin numeral method which is widely used in social media. This experimental research was conducted by taking respondents with the same sex and age, to prove the relationship between the independent variable (Mandarin learning process) and the dependent variable (Latin numeral method). The similarity of sounds in Latin numbers and pronunciation of Chinese Han characters (Chinese Homonym) is proven to help respondents understand the meaning of Chinese sentences more than 80%, even 4 of the 9 questions presented showed a difference in the correct answers before and after the test by more than 29%. Similar sound similarities (homonyms) between the pronunciation of Chinese Han characters and the pronunciation of numbers in Mandarin have a very important role in achieving the level of understanding of the respondents. These results indicate that Latin numerals can be used as a new way to learn Mandarin.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt; – &lt;em&gt;Chinese Teaching Methods, Latin Numeral, Homonym.&lt;/em&gt;&lt;/p&gt;
THE IMPACT OF THE GROWING REACH OF MASS COMMUNICATION HAS ITS ADVANTAGES AND DISADVANTAGES: AN IN-DEPTH ANALYSIS.

An attempt has been made to understand both the advantages and the disadvantages of the immense spread of information that has been spurted since the beginning of the twenty-first century. This is still growing and has been aided by technology, reducing the cost of spreading information and the instruments on which people can view it. There are checks that each country imposes concerning this medium to keep the negative effect minimum. The advantages are tremendous, but as in every situation, the negative impact has to be minimised. An attempt will be Research Question: made to understand the impact of the growing influence of mass communication on all sections of society. The phenomenal speed at which the internet is now available has led to the increasing influence of such types of communication. This is felt throughout the country, both urban and rural. How far it benefits its users is a question that will be researched in this paper. There are apparent disadvantages to this spread.
Genre–Linguistic Analysis of Errata Texts in Arabic

News accuracy has been a significant issue for media organizations. However, Arabic errata texts have been neglected in academic research. The purpose of the present study is to identify the generic structural components of errata published in three different types of Arabic texts. We attempt to analyse the generic structure of these texts and determine the linguistic signals used to indicate these components. The paper also sheds light on the different kinds of errors found in Arabic texts and the functions they communicate to readers. For this, we collected and analysed 120 errata from Arabic daily newspapers, academic journals, and popular magazines. For our data analysis, we drew on the genre analysis framework pioneered by Swales (1990) and further adapted by other researchers such as Al-Ali (2005). We additionally referred to Bugeja and Peterson (2007) for classifying the types of errors. The study results show that the analysed Arabic errata texts followed a generic structure comprising eight component moves. Further, objective errors were found to be more frequent than subjective errors in Arabic newspapers and academic journals. We hope that similar future studies further the current understanding of genre identification and construction, especially in Arabic errata texts.
PENGARUH MODEL PEMBELAJARAN RESITASI DALAM PEMBELAJARAN MENULIS TEKS ULASAN SISWA KELAS VIII SMPN 32 PALEMBANG

This research was motivated by students of class VIII at SMP Nelgelri 32 Palembang who had many obstacles in the learning process of writing texts, one of which was the lack of students' understanding of the material taught by Gulrul. Seeing the conditions of self-learning, it is necessary to have an action to implement a learning model that is expected to generate ideals or ideas in writing review texts in Indonesian subjects. One of the models that is often used in learning in schools is the telorbult learning model, which is the recitation model. This type of research is quantitative research, with a correlation approach. This research aims to find out whether there is an effect of the recitation learning model in writing text lessons for class VIII students of SMP Nelgelri 32 Palelmbang. The population in this research amounted to 209 students, and the research sample consisted of 60 students who were divided into 34 students in class VIII.3 as an experimental class and 35 students in class VIII.4 as a control class. How to collect data through questionnaires and documentation. Based on the results of data processing and data analysis which was carried out using the SPSS 22 program, it was concluded that the hypothetical influence of the recitation learning model in the learning of text writing for grade VIII students of SMPN 32 Palelmbang. The greater the effect is 0.763 or 76.3% which is in the range 0.60-0.799 with the toadstool category, while the other 23.7% is affected by other factors. Meanwhile, the relational level of the recitation learning model to the writing skills of review text was 0.823 or 82.3%, which was in the range of 0.80-1.000 with a very strong category. This means that there is a very strong relationship between the recitation learning model and the text writing skills of students of SMPN 32 Palelmbang during the entire 2022/2023 academic year.&#x0D; Keywords: Recitation Learning Model, Text Writing Skills Review
Self-Instructional Teaching Internship Module: An Evaluation

Teaching internship is the apex in the academic life of preservice teachers to ensure their readiness to teach in the actual field. To help teaching interns (TIs) thrive in their practicum, the self-instructional teaching internship (STI) module is developed. This study evaluated the module using the Plan-Do-Study-Act action research and mixed-method research design to provide evidence to aid in its second revision. The participants were 13 state university TIs. The data were gathered by using a validated questionnaire, performance appraisal, and interview guide. While descriptive statistics, percentages, and weighted means were computed for the data. The module structure and format were present and compliant with the design framework, according to experts. The TIs unanimously agreed that the module adhered to Outcome-Based Education (OBE), Technological Pedagogical Content Knowledge (TPACK), Universal Design for Learning (UDL), and comprised a useful learning resource that allowed them to recognise their shortcomings, develop relationships, and become competent as evidenced by their progressive performance. The use of the STI module in Philippine Teacher Education Institutions is encouraged.
The effect of kebon kongok waste disposal sites on ground water quality in Suka Makmur Village, West Lombok District

The Kebon Kongok waste disposal sites (WDS), Suka Makmur Village, is the final waste disposal site for Mataram City and West Lombok because Mataram City does not have a WDS. The condition of the WDS has exceeded its capacity. Suka Makmur Village is a village close to the Kebon Kongok WDS. This research was conducted in Suka Makmur Village to know groundwater quality with Smell, Taste, TDS, pH, BOD, COD, Ammonia (NH3N), and Total Coliform. The method used to determine the quality of groundwater is by using the Pollution Index Method. In determining the sampling technique, the purposive sampling technique is used, a determination technique with certain considerations. The results showed that the results of the analysis of raw water samples with the parameters Odor, Taste, Total Dissolved Solid, pH, BOD, COD, Ammonia (NH3N), and Total Coliform. The results obtained from the three sample points that exceeded the Water Quality Standard threshold were only the Total Coliform parameter, sample 1 was 230 mg/l, sample 2 was 91 mg/l, and sample 3 was 230 mg/l based on the Regulation of the Minister of Health of the Republic of Indonesia Number 32 2017 concerning Environmental Health Quality Standards and Water Health Requirements for Sanitation Hygiene, Swimming Pools, Solus Per Aqua, and Public Baths. Based on the results of data analysis using the Pollution Index Method (IP), sample one was 3.14, sample two was 1.68, and sample three was 3.13. These results indicate that the condition of the water is included in the Light Polluted category based on the Decree of the State Minister for the Environment Number 115 of 2003 concerning Water Quality Status, the Pollution Index value with an IP score of 1.1 - 5.0 is intended for class I water.
Schrodinger’s Catgirl: Hoyoverse, Cybernesis, and the Ethnography of Metaverse

"Metaverse" is not a Silicon Valley utopianism. It is a meaningful descriptor for an increasingly embodied and more deeply integrated internet. Nowhere is it more profound than in China, whose first forays into the metaverse have sent ripples the world over. This ethnography of China-based Hoyoverse, and a subsequent discussion, suggest the meaningful contributions ethnography can make to understanding the metaverse. And how the metaverse will in turn transform the discipline. All of this is articulated through the example of a cyborg catgirl, who may or may not be a mirage.
Node Selection Method for Split Attribute in C4.5 Algorithm Using the Coefficient of Determination Values for Multivariate Data Set

The split attribute in the decision tree algorithm, especially C4.5, has an important influence in producing a decision tree performance that has high predictive performance. This study aims to perform an attribute split in the C4.5 algorithm using the value of the termination coefficient (R2/R Square) which is combined with the aim of increasing the performance of the model performance produced by the C4.5 algorithm itself. The data used in this research are public datasets and private datasets. This study combines the C4.5 algorithm developed by Quinlan. The results in this study indicate that the use of the R2 value in the C4.5 algorithm has good performance in terms of accuracy and recall because three of the four datasets used have a higher value than the C4.5 algorithm without R2. Whereas in the aspect of precision, it has quite good performance because only two datasets have a higher value than the performance results of the algorithm without R2.
Cloud Forensics: Investigating Security Incidents in Cloud Environments

Cloud Forensics: Investigating Security Incidents in CloudEnvironments
Pemodelan Rain-On-Grid Untuk Kasus Banjir pada Polder Pluit, Jakarta

Jakarta flood occurs almost every year, one of the reasons is the rapid development of its urban areas. Generally, Jakarta is categorized as a flat area, of which some locations are lower than the mean sea level, for example Pluit Polder area, thus being prone to flood. In this study, the rain-on-grid modeling with HEC-RAS software is carried out to determine the parts of the Pluit Polder that are still inundated so that better mitigation strategies can be achieved. The modeling results show that there are still inundated areas around the Pluit Polder ranging from 0.25 m to 2.75 m.
Securing Cloud-Based DevOps: Integration of Security into Continuous Delivery

Securing Cloud-Based DevOps: Integration of Security intoContinuous Delivery