Reviewerly/exHarmony huggingface dataset:
Quality of E-Book Teaching Materials with Scientific Inquiry Approach in Strengthening Science Literacy for Elementary School Students

Currently the teaching materials used by teachers do not pay attention to the condition of students and their environment, because in general teachers still use conventional teaching materials as a guide in learning. This makes teachers very dependent on conventional teaching materials. This study aims to determine the quality of E-book teaching materials with a scientific inquiry approach in strengthening scientific literacy for elementary school students. This type of research is research and development (Research and Development) using the development model developed by Borg and Gall, and only taken 6 out of 10 overall stages. The subjects in this study were fourth grade elementary school students. The data collection instrument used in this study was a Likert scale questionnaire with qualitative descriptive and quantitative descriptive data analysis techniques. The results of expert validation research show that ebook teaching materials with a scientific inquiry approach can be said to be very feasible by experts according to the indicators of media feasibility, language feasibility, material feasibility. At the small-scale trial stage, the teaching materials developed also received a very good response from teachers and students. Thus the development of ebook teaching materials is expected to be an alternative learning so that concepts in science material can be conveyed properly and can strengthen scientific literacy in fourth grade elementary school students. The results of expert validation research show that ebook teaching materials with a scientific inquiry approach can be said to be very feasible by experts according to the indicators of media feasibility, language feasibility, material feasibility. At the small-scale trial stage, the teaching materials developed also received a very good response from teachers and students. Thus the development of ebook teaching materials is expected to be an alternative learning so that concepts in science material can be conveyed properly and can strengthen scientific literacy in fourth grade elementary school students. The results of expert validation research show that ebook teaching materials with a scientific inquiry approach can be said to be very feasible by experts according to the indicators of media feasibility, language feasibility, material feasibility. At the small-scale trial stage, the teaching materials developed also received a very good response from teachers and students. Thus the development of ebook teaching materials is expected to be an alternative learning so that concepts in science material can be conveyed properly and can strengthen scientific literacy in fourth grade elementary school students.
Self Efficacy of Indonesian English Foreign Language Learners in Speaking English

Self-efficacy is the condition of someone's capability to complete a task in a significant manner that impacts the development of human achievement, especially for students who are learning a foreign-speaking language system. It is one of the vital aspects of improving language learning. Thus, it is a crucial factor in building self-confidence in spoken English. Furthermore, this study is intended to analyze the Indonesian English Foreign Language Learner (EFL) in speaking English. The method used in this study is a literature review to reveal the impact of self-efficacy on Indonesian English Foreign Speakers. The data were collected by analyzing the journal, sources, and articles of Indonesian scholars conducting similar research. The widespread self-efficacy influence displayed in the form of the investigation, the numbers of Indonesian students participation, and the result of achievements changed among the high and low-efficacy of Indonesian English Foreign Language Learner (EFL) in speaking English within the study.
6G QoE for Video and TV Applications

This chapter presents a sixth generation (6G) quality of experience (QoE) based on artificial intelligence and quantum machine learning (QML). The technological evolution offered by mobile broadband generations allowed the deployment of a better quality of video and TV services for mobile subscribers. The chapter focuses on the present specific use of QML to improve the quality of experience for the future 6G users while interacting with multimedia video streaming applications eligible to take off commercially during the 6G era. The quality of the content is related to bandwidth and other quality of services metrics. The specificities of third generation (3G) enabling video streaming are based on the IP multimedia subsystem that is the key enabler of IP multimedia services in the 3G architecture, including the usage of the Session Initiation Protocol. The QoE process will be based on Artificial Intelligence, Machine Learning, and Quantum Computing.
An Introduction to Privacy Preservation in 6G

This chapter gives a brief view into the expanding topic of privacy preservation for data exchange. It describes the enhanced challenges and relevance of privacy preservation topic with the rise of sixth generation (6G) technology-based applications and highlights that privacy topic can be a “do or die” subject for achieving a higher adoption among individuals and industry. Privacy preservation of data can help the two ends meet by keeping the utility of data while protecting the privacy of individual data subjects. Cultural awareness and government structures across the globe push adoption of privacy preservation technologies. 6G technologies make possible low latency applications like holographic telepresence. Homomorphic encryption is needed to operate on encrypted data for privacy preservation. Differential privacy is the most widely accepted mechanism for privacy preservation. Pseudonymization presents a unique method in practice since time is unknown to replace an original value with another value in a dataset.
The Pragmatic Functions of the tilde “~” in China’s Social Media among Youth Groups

China defines “~” (tilde, the wave sign) as punctuation, which serves as a grammar marker. However, as social media becomes popular in people’s daily life, the wave sign acquires another pragmatic meaning and function. Although this change is obvious, few studies have been conducted for a further view. This paper aims to explore the pragmatic meaning and function of “~” beyond its punctuation usage. With a qualitative and quantitative study, it’s found that the tilde “~” is usually popular among a specific group in social media, while it is widely used on both formal and informal occasions. Also, according to Searle’s illocutionary speech acts theory, it’s found that the tilde “~” is mainly used in three speech acts, which are directive speech acts, expressive speech acts, and representative speech acts, respectively. In this paper, the tilde “~” could be considered as a marker from the perspective of its functions: 1) it’s a symbol in multimodal communication that is capable of producing synaesthesia of visual and auditory; 2) it is usually a positive marker hinting a kind of pleasure emotion comparing with other punctuations; 3) it can be a tone modifier mitigating or enhancing the tone of an utterance. This study indicates that a small sign like “~” may enhance the effectiveness of language expression in social media and the need to embrace the dynamic and variety of language study.
The Embodiment of Global Governance Through Hexahelix in Preserving Terracotta Architecture

Terracotta is a culture that emphasizes the unification of natural elements with human life. In this case, humans should preserve what has been given by God in the form of the universe, which humans can then reuse. As part of the culture and architectural concept, the part often discussed by researchers in various scientific articles leads to terracotta as an art or architectural concept. This is also the concern of researchers in this study. This research aims to analyze the realization of Global Governance through the actors who are members of the hexahelix in preserving terracotta architecture. Furthermore, this research is a descriptive study with a qualitative approach, while data collection techniques are carried out through observation, interviews, FGDs, and literature studies. The results showed that government actors, academics, and the community had the most significant roles in preserving terracotta architecture in Majalengka Regency.
The Analysis of Quality Information on The Website of South Bengkulu, Bengkulu Province

The information and communication technology (ICT) development today has created a website, an effective information medium that connects to the Internet network so that it can be accessed at any time. Not want to miss, government organizations are also utilizing website technology as one of their services in providing information to the public. However, the information contained on the website should have a good quality so that the information conveyed can be useful. This study aims to measure the quality of information on South Bengkulu Regency websites based on dimensions of the information quality concept. Observation of four websites in South Bengkulu Regency was conducted along with an in-depth interview with each manager. The results obtained that the information available on these websites has met the good information quality, although there are some deficiencies such as the existence of links that refer to a blank page, some unlisted information dating, and the lack of network quality assurance to ensure the availability of information.
OPTIMIZATION OF PHOTOGRAPHY SERVICES ORDERING SYSTEM

The data management system that is currently running at Casamia Studio still uses a handwritten manual system which is prone to various errors that cause calculation errors, difficulty in determining prices, difficulties in searching data, and difficulties in obtaining the required reports. The purpose of this research is to be able to design a web-based information system that is easy to use. In this writing the author designed an information system at Casamia Studio that makes it easier for users to manage various existing service data. The author also uses the Waterfall method to meet the needs of this research. The new system results in an online ordering process, good and correct data storage, and can generate reports quickly and accurately. The existence of this information system is able to help green photography activities more effectively and efficiently in data processing.
Reflection of 2D Objects in Computer Graphics

Abstract: The Research paper contains a brief introduction about 2D reflection or transformation along with the better or less complex algorithm in Computer Graphics. 2D reflection is used for manipulating, repositioning, changing size, rotating and also to get the mirror image of the real-world object which are stored in the form of images in a computer. Suggesting a less complex algorithm to make it easier to understand or for manipulating images more efficiently according to the user needs.
The functional consequences of scene clutter on learning and memory for targets: a behavioural and eye-movement investigation

Visual clutter (VC) is an inherent part of everyday environments. Previous studies have demonstrated that VC degrades search efficiency and alters eye-movement behavior. However, it remains unclear whether and how scene clutter influences learning and memory for spatial targets presented in naturalistic environments to which we are repeatedly exposed. To examine this, participants completed a search-based learning (SBL) task in which they had to detect and explicitly memorize the location of a target superimposed on natural scenes across four repeated blocks. Importantly, scenes differed in their level of clutter (low vs. high). After a break, participants performed a cued recall task that allowed us to examine their long-term memory for target locations in the previously-studied scenes. Behavioral results showed that participants were slower to detect the target in high- than in low-clutter scenes across all blocks, indicating that VC impacted negatively search time. Furthermore, in both clutter conditions, participants became faster at detecting the target in each successive block. Nevertheless, learning of target locations was faster (as indicated by steeper search slopes) for high- than for low-clutter scenes. Eye-tracking data showed that high scene clutter prolonged search initiation as well as scanning and target verification time. Critically, the decrease of search times over the blocks was driven by significant reductions in scanning and target verification time, but not initiation time, for both clutter scenes. Surprisingly, and despite faster learning of target locations in high- than in low-clutter scenes, participants recalled the locations of the target less precisely in high- than in low-clutter scenes during the cued recall task. Together, our findings suggest that the deleterious effects of VC on cognition and eye movements persist even after multiple exposures to the same environments. These findings have important implications for adaptive daily living as decluttering interior spaces might prove beneficial for cognition.
Scene Complexity Captures the Detail Trace of Visual Episodic Memory

Memory research has established that human observers use schemas, mental constructs that represent scene elements and relationships between those elements, as the basis for encoding information into visual episodic memory. Newly developed computational methods now allow the extraction of this schema information from the human observer via two-dimensional maps known as Visual Memory Schema (VMS) maps (Kyle-Davidson, Bors & Evans, 2019). VMS maps reveal which regions in a scene image are responsible for a human recalling that scene. VMS Maps are highly consistent among observers and are not explained solely by computational saliency models or eye-fixations. However, previous work also suggests that humans, in addition to schemas, retain rich detail of the scene, and the presence of that detailed information aids in later recognition of the same. Findings show that scenes considered to be more detailed (scenes with man-made elements) are remembered better than less detailed scenes (natural scene). Similarly, images that have detail removed (compared to a source image) appear less memorable than images that maintain the original detail (Baddeley & Evans, 2019). We investigated whether perceptual image complexity could stand as an analogue for the detail trace in visual memory, exploring how the complexity of an image relates to that image's memorability. Our approach was to conduct a behavioural experiment gathering two-dimensional complexity information from humans for a scene dataset that already has corresponding schema information (VMS Maps), which allowed us to explore complexity and memorability from a two-dimensional perspective. Next, we trained a neural network to predict complexity scores, and investigate this relationship for another scene memory dataset, now comparing the predicted complexity scores with ground truth memory for the images. The findings indicate that both extracted, and predicted perceptual complexity of the scene, relates to how well observers remember that same scene.
Penerapan Metode Takrir dalam Meningkatkan Hafalan Surah Pendek Santri di TPA Miftahul Jannah Kota Kapur

The Quran is the main guide for Muslims. Studying and reading it is worth worship. Therefore, to maintain and maintain the authenticity of the verses of the Quran, Muslims do memorization. One of the processes of memorizing the verses of the Quran is carried out at the TPA education level, especially the Miftahul Jannah TPA, Kota Kapur. However, the problem found in the process of memorizing short suras at TPA Miftahul Jannah is that there are students who have difficulty memorizing. Therefore, the tikrar method is applied in the memorization process. The research method in examining the application of the takrir method in improving the memorization of short surahs at the Miftahul Jannah TPA is using a qualitative method. Data collection techniques using interviews, observation, and documentation. The results of this study indicate that the application of Takrir method at Miftahul Jannah TPA Kota Kapur with the following steps: a) Determine the letter, b) The teacher gives examples of reading or demonstrates the reading, c) Reads together and repeatedly. d) Provide the right simulation, deposit memorization, e) Evaluation and f) Game.
Telecom-compatible, affordable and scalable quantum technologies

The realistic implementation of quantum architectures relies on the development of scalable, resource-efficient platforms that are compatible with CMOS technologies as well as fiber networks. This work demonstrates novel schemes utilized for time-/frequency-bin entanglement generation and processing by leveraging existing telecommunications and integrated photonics infrastructures.
Modeling integrated quantum frequency processors

The quantum frequency processor (QFP) enables universal quantum gates, but demonstrations so far have employed discrete components only. We introduce a QFP model for microring resonator-based pulse shapers, analyzing Hadamard gates as examples. Extendable to any material, our model furnishes valuable tools for integrated QFPs.
Feature Extraction TF-IDF to Perform Cyberbullying Text Classification: A Literature Review and Future Research Direction

Feature extraction on text documents becomes a challenging task for making natural language and machine learning classifications. A document has a complex wording with various meanings and expressions contained in it. The complexity and variety of perceptions make it difficult to find labels and classify documents. The feature extraction process can be carried out to capture important text, phrases and words contained in a document so that the text classification process can be carried out. Term Frequency-Inverse Document Frequency (TF-IDF) is a feature extraction method by performing a grouping process based on the statistics of the occurrence of words from the data collection used. In this paper, the authors present feature extraction with the TF-IDF method with variations of the model approach. Such as; weighting on the occurrence of the word, the filter process on the words in the document, creation rules on term documents, extraction for two or more syllables, and combination with other extraction methods, to improve the text classification process in cyberbullying detection. This paper also opens up opportunities that can be done in the future regarding feature extraction with variations of statistical models of word occurrences in textual detection.
Modeling "meaning" and weighing it against other factors in predicting fixations: you can find whatever result you are looking for

"Meaning" has recently been added to the list of factors shown to attract fixations. We directly compare the predictive success of meaning maps to other factors known to affect fixation locations in visual search and free-viewing tasks, namely: bottom-up saliency, center bias, and target features (for search). We add to this list of factors a new "objectness" feature, and propose an image-computable method for obtaining scene objectness estimates using an image-segmentation model (Mask R-CNN). An obstacle to using the meaning map method is that the dataset for which meaning estimates are available is only 40 images. To more broadly apply the method, we trained a dilated Inception network to predict meaningful regions in scene images (based on meaning labels from 30 images), and found an average Cross Correlation of 0.82 on the 10 withheld images. With this Deep Meaning model, we can obtain meaning maps for different image datasets for which ground truth meaning labels do not exist. We compared predictions (using NSS) from each factor to ground-truth fixations in COCO-Search18 and four free-viewing datasets: OSIE, MIT1003, the meaning-map dataset, and COCO-FreeView, a new dataset paralleling COCO-Search18. We also manipulated whether factor-independent processing (multiplicative center bias, histogram matching) were used in the priority computation and comparison to the ground-truth fixation-density maps. We found the most predictive factor depended on the dataset and factor-unrelated processing used, which is undesirable. For example, objectness was most predictive without a multiplicative center bias, while meaning was most predictive when one was added. We observed similar differences across free-viewing datasets. For search, target features dominated all others in predicting target-present search, and meaning best predicted target-absent search. Our findings underscore the importance of reporting modeling results for multiple datasets, and on the need for transparent discussion of how predictive success depends on factor-unrelated processing.
Humanization in Educational Environments; Aspects Necessary for Living in School Today

While it is true, quality has always been measured through statistics and percentages, often forgetting the training of the whole person. Now, when we talk about issues such as humanism and education supported by technology, we can fall into extremes: it is common to label technology as the provider of all the evils of today's civilization; or the opposite assumption; to argue that incorporating technologies into education would be the panacea for all the problems it faces and finally, to assume that the subject of the humanities is more typical of actions and attitudes of the past than as a current need, giving vitality to any educational process. However, and fortunately for the educational community, today there are global efforts to make the educational task a human action that minimizes inequities and the abysmal differences that exist in countries like ours. Fernando Reimers says: “Equal educational opportunities must be the priority objective of educational policies, the aim of education must be to contribute to creating just societies. This requires improving the learning environments of the poor, but not only along the paths that have been started over the last decade. This aspect pointed out by Reimers is precisely the central aspect that all educational action must contemplate, the educational policies that are implemented in our country must guarantee, above all, the construction of a just and egalitarian society, strengthening the cultural wealth that we have, with respect to to the diversity of people, their past, their present and especially their future.