Reviewerly/exHarmony huggingface dataset:
PERANCANGAN PLTS ATAP DI GEDUNG KANTOR BUPATI JEMBRANA

According to the Ministry of Energy and Mineral Resources, in the year 2020, Indonesia possessed an electricity generation capacity of 70.96 Gigawatts. Out of this capacity, 35.36% was derived from coal, 19.36% from natural gas, 34.38% from oil, and only 14.96% from Renewable Energy sources. In order to accelerate the adoption of Renewable Energy, in accordance with the Governor of Bali Regulation No. 5 of 2022, there was an encouragement to utilize rooftop Solar Power Generation (PLTS) amounting to at least 20% of the installed electricity capacity or the roof area of both new and existing Government buildings, whether at the Central or Regional levels. Therefore, a rooftop PLTS design for the Jembrana Regency Office Building was essential to support the transition to cleaner energy. The rooftop PLTS design was carried out using the Helioscope software. The rooftop PLTS design for the Jembrana Regency Office Building showed that for the scenario involving the entire roof area, it could generate 174.15 MWh in one year, which translates to 42.51% of the total electricity demand. Meanwhile, for the scenario involving only the North-facing roof, the rooftop PLTS could produce 96.55 MWh in one year, equivalent to supplying 23.57% of the total electricity demand.
RANCANG BANGUN APLIKASI ARISAN ONLINE DENGAN SMART CONTRACT UNTUK MEMINIMALISIR RESIKO PENIPUAN

Arisan is an activity that is usually carried out by housewives where each member will donate money and at each meeting there will be a lottery to hand over the money that has been collected to one of the lucky members. Usually, arisan is done regularly and offline. However, since the pandemic in 2020, many people have started doing arisan online. With the rise of arisan online activities, there are many cases of fraud with a large amount of loss and of course it cannot be ignored. Based on these problems, a platform is needed to conduct arisan online that can prevent fraud cases. This container will be made in the form of a decentralized application by utilizing blockchain technology in this case this article utilizes smart contracts on the Binance Smart Chain to ensure that after this application is published, no party will be able to make changes to the data or functions of this application to minimize frauds.
The Relationship among Grit, Physical self-efficacy and Self-Rated Health for Elderly Participate in Sports for All

The purpose of this study is to investigate the relationships among grit, physical self-efficacy and physical self-efficacy for the elderly participate in sports for all. To achieve the goal of this study, a total of 210 questionnaires were distributed. Out of those returned questionnaires, insincerely replied or double-replied questionnaires were excluded and finally 203 questionnaires were analyzed for this study. The data were analyzed by frequency analysis, reliability analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural equation modeling using SPSS Version 26.0 and Amos 26.0 program. Main findings were as follows: First, grit had a positive effect on physical self-efficacy. Second, physical self-efficacy had a positive effect on self-rated health. Third, grit had a positive effect on self-rated health. Fourth, physical self-efficacy mediated the relationship between grit and self-rated health. Therefore, for the healthy lives of elderly participate in sports for all, multifaceted support measures should be sought. Specifically, it is judged that it is necessary to apply a step-by-step lifestyle sports guidance program for each ability, provide theoretical education on sports sports, and hold small-scale sports competitions.
PERANCANGAN PLTMH UNTUK MENDUKUNG WISATA HIJAU DI BENDUNGAN TAMBLANG, DESA SAWAN, KABUPATEN BULELENG

The potential of water energy in Bali Province, especially in Tamblang Dam, is very high and can be utilized to provide energy needs in the surrounding area. On the other side, the Buleleng Regency Government took the initiative to develop tourism potential by planning a green tourism-based Tourism Destination Area (DTW), which utilizes renewable energy as a supporting component. One of the renewable energy potentials that can be utilized in Tamblang Dam is Micro Hydro Power Plant (PLTMH), which is designed with a designed flow rate of 2.21 m3/s with a capacity of 1.2 MW. The design of Micro Hydro Power Plant of Tamblang Dam requires an initial investment cost of Rp 2,434,358,091, and based on the results of economic analysis, the design of Micro Hydro Power Plant of Tamblang Dam is classified as feasible for investment, with NPV of Rp 68.6 billion, BCR 40.81, and PP less than 10 years.
Exploring the Use of Mobile Instant Messaging for Facilitating English as a Lingua Franca Communication among University EFL Students

This study explores the experiences of Chinese and Japanese university English as a Foreign Language (EFL) students who engaged in English as a Lingua Franca (ELF) virtual exchanges through mobile instant messaging (MIM). Participants from universities in Japan and mainland China took part in a six-week online lingua franca exchange project using ‘WeChat’, a Chinese MIM application. Based on thematic analysis of post-project interviews, this study demonstrates the advantages and limitations of MIM for lingua franca exchanges from the perspective of university EFL students. The findings demonstrate students’ positive perceptions and utilization of the flexibility of MIM communication, including synchronous and asynchronous options, along with various semiotic resources like images, emojis, and stickers. However, there were several challenges including concerns about intrusiveness caused by immediate responses and the platform’s suitability for users from diverse regions. The study concludes by offering language educators practical guidelines for implementing MIM-based lingua franca exchanges.
THE EFFECTIVENES OF GIST STRATEGY BASED ON LOCAL WISDOM TOWARD READING COMPREHENSION OF STUDENT'S NARRATIVE TEXT'S

Reading comprehension is a crucial skill that students must master to understand texts effectively. Choosing the proper techniques for teaching reading and making lessons attractive and effective are essential factors determining the success of the learning process in education. This study aims to know whether the student reading narrative text with the gist strategy achieves better than students reading the narrative text without using the gist strategy. A total of 60 students consisting of two classes (a control class and an experimental class) at SMK PGRI 1 Jombang participated in this study. The design of quasi-experimental was used in this study. This research used test instruments (pre-test and post-test) with multiple-choice questions using Google Forms. This study revealed a significant difference (p-value 0,011) in student learning outcomes scores in the experimental and control classes. Pertaining to this, schools can improvise the curriculum by applying GIST in certain learning subjects to improve student understanding.
EXPLORING THE EFL STUDENTS’ INTEREST ON ACADEMIC READING

This study aims to explore the interest of EFL students in academic reading and the factors influencing their interest. The design employed a descriptive qualitative approach. The data were obtained from twenty-four students in the third semester of the English Education study program at Qomaruddin University. The data for this study were collected through questionnaires and interviews. The questionnaire aimed to determine the students' interest in reading, while the interview aimed to gather data on the factors influencing students' interest. The results of the study were presented using descriptive qualitative analysis. The results of this study showed that 68% of students responded that they rarely read, and 75% of students prefer watching TV to academic reading. Several factors influenced students' interest in reading including awareness, motivation, and environment.
A DESCRIPTIVE STUDY ON JUNIOR HIGH SCHOOL STUDENTS’ ANXIETY FACTORS IN READING

This study aimed to analyze the factors that cause anxiety in reading based on the FLRAS by Saito, Garza, and Horwitz (1999) and the students’ ways to overcome anxiety. The subjects of this study were 33 ninth-grade students of SMP Negeri 4 Sungai Raya. This study used a descriptive study and data collected from the provision of questionnaires, namely a close-ended questionnaire and an open-ended questionnaire. The results explained the factors of anxiety in reading and how to overcome the anxiety in reading. The factors included worrying about reading effects, afraid of making errors, unfamiliar culture, unfamiliar topics, and unknown vocabulary. The efforts that the students used to overcome their anxiety in reading were preparation, relaxation, positive thinking, peer-seeking, and resignation.
PERFORMATIVE UTTERANCES ON EFL CLASSROOM IN SMP ISLAM CENDEKIA HARAPAN JOMBANG

This article aimed to examine performative utterances in the interactions between teacher and students in EFL classroom. It adopted a sociolinguistic and content analysis approach, focusing on the field of performative utterances as the subject of study. The research employed a descriptive qualitative method. The primary data source was an audio recording capturing the interactions between teacher and students at SMP Islam Cendekia Harapan Jombang. The researcher used J.L. Austin's theory in the Wardhaugh book (2010:286) for data analysis. Based on the theory there are five types of performative utterance: verdictives, exercitive, commisives, behabitives, and expositives. The findings are the teacher's utterances consisted of 21 utterances, with 33% (7 utterances) categorized as exercitives, 24% (5 utterances) as expositives, 19% (4 utterances) as verdictives, 14% (3 utterances) as commissives, and 10% (2 utterances) as behabitives. On the other hand, the students' utterances amounted to 14 utterances, with 46% (5 utterances) classified as expositives, 27% (3 utterances) as verdictives, 18% (2 utterances) as behabitives, and 9% (1 utterance) as exercitives. There were no utterances of commissive use in students utterances.
THE IMPLEMENTATION OF MAKE A MATCH METHOD TO INCREASE STUDENTS’ ABILITY IN WRITING PROCEDURE TEXT

The mastery of English in senior high school including four skills i.e:listening, speaking, reading and writing. They are supported by vocabulary,structure and pronounciation. From four skills above, writing is one of the skills’problem for the students in learning process.It can be seen from the students’mark to express their ideas in making the procedure text. It is about 60% under grade (KKM). This problem makes the writer interested to solve. The writer wants to analize the students’ability in writing the procedure text by using make a match methode. The research was purposed to increase the students’ ability to write the procedure text, to develop learning’s strategy, and learning methode which is effective, effisien and fun. The students can participate actively in learning process.The students can express their ideas and feelings orally and writing. Technique used in this research is observation, monitoring, and performance test in writing test. The result showed that 72% active in learning process. There was only a student who was still under grade. The result of post test there were 2 students ( 0,07%) who got C “good” 15 students (0,41%) got D ‘fair’, 18 siswa (0,49%) got E ‘poor’Keyword: makea match methode,writing ability,procedure text
Process Management Practice Analysis on Organizational Performance Mediated by Knowledge Creation

Knowledge is an important resource that supports process management to produce efficient and effective products and services. The research objective is to examine the influence of process management on performance through the role of knowledge creation in the future of new normal. Survey method with saturated sample was used for data collection on 126 head of study programs at public and private universities in the city of Semarang. Partial Least Square-Structural Equation Modeling (PLS-SEM) approach was used to analyze the data. The results of the study found that process management has no direct effect on organizational performance and knowledge creation directly affects performance. Tests indirectly show that the knowledge creation shown to mediate the effect of process management on organizational performance. Implications of research for leaders as a consideration in the implementation of process management practices and knowledge creation in the new normal era of the organization. Suggestions for future research should use a longitudinal design, so that studies can be developed and explored more deeply and prepare other techniques or strategies as alternative solutions in data collection so that they are in accordance with the set targets
Graphical Framing Effect of Different Achievement Motivators in Intertemporal Decision Making Tasks

Delay discounting task; Achievement motivation; Graph-framing effect
The Impact of Online Learning Experience on Learning Engagement: From the Perspective of Community of Inquiry

Community of inquiry; Online learning experience; Learning engagement
THE EFFECT OF DEMONSTRATION METHOD ON WRITING PROCEDURE TEXT AT SENIOR HIGH SCHOOL

This research was conducted in order to find out the effect of demonstration method on writing procedure text at eleventh grade of SMA Negeri 1 Kembangbahu.This research used a quantitative design. In collecting data, the researcher used experimental research. The researcher used quasi-experimental research. There were involved two classes for the research, namely experiment class and control class. The researcher used ttest to calculate the data. The finding of the research indicated the implementation of demonstration method on writing procedure text was effective. It could be know from the result of calculation that the students gained scores between pre-test and post-test in experiment class was higher than control class. The gained scores of experiment class is 15.25. Meanwhile, the gained scores of control class is 8. Furthermore, based on statistical calculation with the significant 5%. It showed that ttest is higher than t table that was 3.98 ≥ 2.02. Therefore H0 is rejected and the Ha is accepted. It can be conclude that using Demonstration method on writing procedure text is success.
Securing Electronic Health Records using Blockchain

This research explores the application of blockchain technology in securing Electronic Health Records (EHRs) while integrating IoT sensors for real-time patient monitoring. The primary goal is to address critical healthcare industry challenges, including security, privacy, data integrity, and accessibility. Our system focuses on enhancing EHR security and reliability through blockchain's decentralized and tamper-resistant features. Additionally, IoT sensors provide real-time monitoring of vital signs, enabling prompt interventions. This study not only delves into technical aspects but also considers practical implementation in healthcare, contributing to improved data security and patient care.
Authorship identification methods in automation of student works checking

The automated review of student works has emerged as a vital component of academic integrity as a result of the growing use of technology in education. The identification of authorship, which is essential for preventing plagiarism and ensuring that students’ works is evaluated, is a significant difficulty in this field. The different authorship identification techniques used in the automation of student works checking are examined in this article. The paper also looks at how natural language processing methods may be used to identify authors. These methods use entity analysis, syntactic and semantic pattern recognition to distinguish between several authors. The results of this study help us understand how authorship identification techniques are now used in the automation of student works checking.
NIR-assisted Video Enhancement via Unpaired 24-hour Data

Low-light video enhancement in the visible (VIS) range is important yet technically challenging, and it is likely to become more tractable by introducing near-infrared (NIR) information for assistance, which in turn arouses a new challenge on how to obtain appropriate multispectral data for model training. In this paper, we defend the feasibility and superiority of NIR-assisted low-light video enhancement results by using unpaired 24-hour data for the first time, which significantly eases data collection and improves generalization performance on in-the-wild data. By accounting for different physical characteristics between unpaired daytime and nighttime videos, we first propose to turn daytime NIR & VIS into "nighttime mode". Specifically, we design a heuristic yet physics-inspired relighting algorithm to produce realistic pseudo nighttime NIR, and use a resampling strategy followed by a noiseGAN for nighttime VIS conversion. We further devise a temporal-aware network for video enhancement that extracts and fuses bi-directional temporal streams and is trained using real daytime videos and pseudo nighttime videos. We capture multi-spectral data using a co-axial camera and contribute Fulltime Multi-Spectral Video Dataset (FMSVD), the first dataset including aligned 24-hour NIR & VIS videos. Compared to alternative methods, we achieve significantly improved video quality as well as generalization ability on in-the-wild data in terms of both evaluation metrics and visual judgment. Codes and Data Available: https://github.com/MyNiuuu/NVEU.
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting

The cloud-based multimedia service becomes increasingly popular in the last decade, however, it poses a serious threat to the client’s privacy. To address this issue, many methods utilized image encryption as a defense mechanism. However, the encrypted images look quite different from the natural images, making them vulnerable to attackers. In this paper, we propose a novel method namely PIRNet, which operates privacy-preserving image restoration in the steganographic domain. Compared to existing methods, our method offers significant advantages in terms of invisibility and security. Specifically, we first propose a wavelet Lifting-based Invertible Hiding (LIH) network to conceal the secret image into the stego image. Then, a Lifting-based Secure Restoration (LSR) network is utilized to perform image restoration in the steganographic domain. Since the secret image remains hidden throughout the whole image restoration process, the privacy of clients can be largely ensured. In addition, since the stego image looks visually the same as the cover image, the attackers can hardly discover it, which significantly improves the security. The experimental results on different datasets show the superiority of our PIRNet over the existing methods on various privacy-preserving image restoration tasks, including image denoising, deblurring and super-resolution.
Editing Implicit Assumptions in Text-to-Image Diffusion Models

Text-to-image diffusion models often make implicit assumptions about the world when generating images. While some assumptions are useful (e.g., the sky is blue), they can also be outdated, incorrect, or reflective of social biases present in the training data. Thus, there is a need to control these assumptions without requiring explicit user input or costly re-training. In this work, we aim to edit a given implicit assumption in a pre-trained diffusion model. Our Text-to-Image Model Editing method, TIME for short, receives a pair of inputs: a "source" under-specified prompt for which the model makes an implicit assumption (e.g., "a pack of roses"), and a "destination" prompt that describes the same setting, but with a specified desired attribute (e.g., "a pack of blue roses"). TIME then updates the model’s cross-attention layers, as these layers assign visual meaning to textual tokens. We edit the projection matrices in these layers such that the source prompt is projected close to the destination prompt. Our method is highly efficient, as it modifies a mere 2.2% of the model’s parameters in under one second. To evaluate model editing approaches, we introduce TIMED (TIME Dataset), containing 147 source and destination prompt pairs from various domains. Our experiments (using Stable Diffusion) show that TIME is successful in model editing, generalizes well for related prompts unseen during editing, and imposes minimal effect on unrelated generations. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>
LFS-GAN: Lifelong Few-Shot Image Generation

We address a challenging lifelong few-shot image generation task for the first time. In this situation, a generative model learns a sequence of tasks using only a few samples per task. Consequently, the learned model encounters both catastrophic forgetting and overfitting problems at a time. Existing studies on lifelong GANs have proposed modulation-based methods to prevent catastrophic forgetting. However, they require considerable additional parameters and cannot generate high-fidelity and diverse images from limited data. On the other hand, the existing few-shot GANs suffer from severe catastrophic forgetting when learning multiple tasks. To alleviate these issues, we propose a framework called Lifelong Few-Shot GAN (LFS-GAN) that can generate high-quality and diverse images in lifelong few-shot image generation task. Our proposed framework learns each task using an efficient task-specific modulator - Learnable Factorized Tensor (LeFT). LeFT is rank-constrained and has a rich representation ability due to its unique reconstruction technique. Furthermore, we propose a novel mode seeking loss to improve the diversity of our model in low-data circumstances. Extensive experiments demonstrate that the proposed LFS-GAN can generate high-fidelity and diverse images without any forgetting and mode collapse in various domains, achieving state-of-the-art in lifelong few-shot image generation task. Surprisingly, we find that our LFS-GAN even outperforms the existing few-shot GANs in the few-shot image generation task. The code is available at Github.
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers

Quantization scale and bit-width are the most important parameters when considering how to quantize a neural network. Prior work focuses on optimizing quantization scales in a global manner through gradient methods (gradient descent & Hessian analysis). Yet, when applying perturbations to quantization scales, we observe a very jagged, highly non-smooth test loss landscape. In fact, small perturbations in quantization scale can greatly affect accuracy, yielding a 0.5 – 0.8% accuracy boost in 4-bit quantized vision transformers (ViTs). In this regime, gradient methods break down, since they cannot reliably reach local minima. In our work, dubbed Evol-Q, we use evolutionary search to effectively traverse the non-smooth landscape. Additionally, we propose using an infoNCE loss, which not only helps combat overfitting on the small calibration dataset (1, 000 images) but also makes traversing such a highly non-smooth surface easier. Evol-Q improves the top-1 accuracy of a fully quantized ViT-Base by 10.30%, 0.78%, and 0.15% for 3-bit, 4-bit, and 8-bit weight quantization levels. Extensive experiments on a variety of CNN and ViT architectures further demonstrate its robustness in extreme quantization scenarios. Our code is available at https: // github.com/enyac-group/evol-q .