Reviewerly/exHarmony huggingface dataset:
Color Image Steganography Using Gradient Selective Bezier Curves

Internet technology has revolutionized the landscape of communication technologies in the modern era. However, because the internet is open to the public, communication security cannot be guaranteed. As a result, data concealment approaches have been developed to ensure confidential information sharing. Various methods have emerged to achieve the goal of secure data communication via multimedia documents. This study proposes a method, which is both adaptable and imperceptible, for concealing a secret text in a color image. From an adaptivity perspective, image corners are detected using the Harris corner detection algorithm and utilized as anchor points for picking the optimal hiding regions of interest using Bezier curve interpolation. On the other hand, because human vision is less sensitive to aberrations in edge regions, imperceptibility is guaranteed by utilizing curves that cross through these regions. Experiments indicate that utilizing gradient selective Bezier curves for secret text concealment can keep the imperceptibility even when the payload capacity is increased.
PERENCANAAN SUMUR RESAPAN PADA GAMPONG LAMTEH BANDA ACEH

Changes in land use cause to reduced water absorption. Aceh Province is one of the areas that does not yet have technical regulations that have been implemented in terms of increasing water infiltration. This is one of the causes of not optimal flood handling. In urban areas, for example in the capital of Aceh Province, namely Banda Aceh, floods still occur frequently when there is high rainfall intensity and long duration of rain. One of the villages that experienced inundation was Gampong Lamteh, Ulee Kareng District, Banda Aceh. One solution to this problem is the construction of environmentally sound drainage in the form of infiltration wells. The existing drainage channels in Gampong Lamteh Banda Aceh are currently only located at a few points to drain excess water into water bodies while the rest are still ground canals. The cause of inundation is due to the unavailability of rainwater infiltration sites. After planning, the infiltration discharge value obtained by the infiltration wells is 0.000006594 m3/second and the total storage volume is 70,650 m3 and the design of the infiltration wells is planned in the form of a circle with a well height of 3 m, radius 0.5 m radius and the planned number of wells is 30 wells.
China's Brain Drain Reversal: Unraveling the Mysteries of the Surging Outflow Migration

Since China lifted its zero-COVID policy in 2022, it has been reported that more than 300,000 people have left China—an astonishing figure that doubled the annual outflow migration from 2010 to 2017 [1]. Such a new wave of brain drain reversed the previous Chinese brain gain and posed a new challenge for the current administration.
A data-driven method for the correction of optical distortions of depth cameras in immersion NDT

Stereoscopic cameras, also known as depth cameras, are increasingly present in robotics navigation and 3D scene reconstruction. Normally, off-the-shelf depth cameras are not suited for underwater environments and exhibit considerable distortions in the provided 3D images when operating underwater. This is mainly due to the large difference in the refractive coefficients of air and water. This issue prevents their use in subsea applications such as the inspection of oil pipelines, valves and manifolds, where these devices could be used for odometry during ultrasonic inspections as well as for 3D scanning. Aiming to allow for such applications, we present a data-driven method for the correction of distortions caused by unaccounted diffractions in depth cameras. First, the distortion is modelled via a series of detections of control points from a standard target at known underwater positions, and an approximation of the inverse distortion is obtained. Then, at runtime, a procedure takes as input the (distorted) point cloud given by the camera at each frame, applies the inverse distortion, and yields a corrected point cloud. We apply the method to data provided by a RealSense D405 camera encased in a sealed acrylic container underwater. The correction makes it possible to use the camera for odometry underwater, clearing the path for the use of off-the-shelf depth cameras in a wide range of subsea applications. The method can be applied for any other transparent fluid.
Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection

Localization in high-level Autonomous Driving (AD) systems is highly security critical. While the popular Multi-Sensor Fusion (MSF) based design can be more robust against single-source sensor spoofing attacks, it is found recently that state-of-the-art MSF algorithms is vulnerable to GPS spoofing alone due to practical factors, which can cause various road hazards such as driving off road or onto the wrong way. In this work, we perform the first systematic exploration of the novel usage of lane detection (LD) to defend against such attacks. We first systematically analyze the potentials of such a domain-specific defense opportunity, and then design a novel LD-based defense approach, $LD^3$, that aims at not only detecting such attacks effectively in the real time, but also safely stopping the victim in the ego lane upon detection considering the absence of onboard human drivers. We evaluate $LD^3$ on real-world sensor traces and find that it can achieve effective and timely detection against existing attack with 100% true positive rates and 0% false positive rates. Results also show that $LD^3$ is robust to diverse environmental conditions and is effective at steering the AD vehicle to safely stop within the current traffic lane. We implement $LD^3$ on two open-source high-level AD systems, Baidu Apollo and Autoware, and validate its defense capability in both simulation and the physical world in end-to-end driving. We further conduct adaptive attack evaluations and find that $LD^3$ is effective at bounding the deviations from reaching the attack goals in stealthy attacks and is robust to latest LD-side attack.
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

We introduce new jailbreak attacks on vision language models (VLMs), which use aligned LLMs and are resilient to text-only jailbreak attacks. Specifically, we develop cross-modality attacks on alignment where we pair adversarial images going through the vision encoder with textual prompts to break the alignment of the language model. Our attacks employ a novel compositional strategy that combines an image, adversarially targeted towards toxic embeddings, with generic prompts to accomplish the jailbreak. Thus, the LLM draws the context to answer the generic prompt from the adversarial image. The generation of benign-appearing adversarial images leverages a novel embedding-space-based methodology, operating with no access to the LLM model. Instead, the attacks require access only to the vision encoder and utilize one of our four embedding space targeting strategies. By not requiring access to the LLM, the attacks lower the entry barrier for attackers, particularly when vision encoders such as CLIP are embedded in closed-source LLMs. The attacks achieve a high success rate across different VLMs, highlighting the risk of cross-modality alignment vulnerabilities, and the need for new alignment approaches for multi-modal models.
Students’ Paragraph Errors and Its Implication for Teaching Writing

This paper aims to expose the students’ ability to write a simple passage. To get the data needed, the writer asked them to write a simple paragraph of Indonesian consisting of five sentences and translate it into English. To analyze their writings, he gave three codes on their writings (italic, bold, and underline words). Their errors on writing were classified on the basis of Dulay, Burt Krashen’s (1982) four types of surface strategy taxonomy consisting of omission, addition, misformation and misordering. The results reveal that the students made 33 omission, 32 addition, 9 misformation, and 8 misordering errors. So, they still have difficulties to write a paragraph. Therefore, teaching and learning process of writing subject should teach students to be able to write acceptable, efficient and effective paragraphs.
Penyusunan Rencana Kegiatan Sekolah dan Rencana Anggaran Kegiatan Sekolah di SDIT Robbani Cendekia Ponorogo

Budgeting activities have two important aspects, namely revenue or revenue planning and expenditure. Thus, the budget of an institution can depict the activities or programs that will be or have been implemented, as well as the amount of expenses incurred, enabling the assessment of the effectiveness and efficiency of the programs listed in the budget. In this research, we focus on the financial management aspect of Education, specifically the issues related to the preparation of activity plans and school financing plans at SDIT Robbani Cendekia Ponorogo. This study adopts a qualitative approach, employing the field research method. The researchers actively gather data regarding the preparation of school activity plans and school budget plans through participant observation and interviews. The procedure for obtaining informants involves using purposive sampling techniques. Researchers then conduct on-site descriptions and undertake a literature study, examining various literatures, documents, and other works to refine this research. The process of preparing the School Activity Plan and the School Activity Budget Plan is carried out through an annual working meeting attended by all foundation officials and educational institution administrators (TPAIT, PGIT, TKIT, and SDIT), the school principal, teachers, and staff. During the budget preparation process, priority scales are set for the implementation of school programs. Additionally, consultations are held to reach a consensus on the required budget and the amount of funds that need to be raised from the community to execute the school programs. These consultations take place through commission meetings, and the outcomes are presented together at a plenary meeting to obtain approval from all organizational elements. Subsequently, all parents are invited to participate in a socialization event to inform them about the educational programs for the upcoming year.
Perancangan Prototype Sistem Lampu Lalu Lintas Otomatis dengan Penjejakan Kendaraan Menggunakan Motion Detection-Blob dan Pengontrolan Berbasis Fuzzy Logic Control

The purpose of this study is to describe the design of a prototype of an automatic traffic system with vehicle tracking using motion detection dlob and fuzzy logic control based control. Data collection techniques in this study used library research and laboratory research. The research was carried out by processing the data obtained by the author, data collection was carried out from March 2023. Based on the results and discussion it can be concluded that the calculation to obtain the traffic light signal time can be carried out by utilizing the Fuzzy Logic Toolbox found in Matlab computer program, and the performance generated by using Fuzzy logic theory has a smaller delay of 9.02 seconds. The duration of the green light generated by fuzzy logic corresponds to the volume of vehicles both in terms of vehicle arrivals and in terms of vehicle queues. The minimum value for the duration of the green light is 0 seconds and the maximum value is 15 seconds.
Impact of Integrating Information Technology in Teaching English in College of Education: A Systematic Review

This systematic review investigates the influence of incorporating information technology (IT) in teaching English in higher education settings. With the rapid growth of technology, its integration in education has garnered considerable attention, and this study aims to offer a complete overview of the consequences of IT integration in the context of English language training. The review takes a systematic approach, identifying, selecting, and analysing relevant scientific articles published between 2010 and 2021. The findings highlight many significant areas where IT integration has considerably impacted English teaching in college settings. These areas include improved language acquisition, higher student engagement and motivation, increased access to learning resources, and the development of digital literacy skills. Furthermore, the assessment cites various problems connected with IT integration, such as technical issues, teacher training requirements, and potential technological access disparities. The findings emphasise the importance of careful preparation, pedagogical considerations, and ongoing assistance to effectively integrate IT in teaching English in college settings. This systematic review adds to the existing literature by synthesising and evaluating current knowledge on the subject, providing valuable insights for educators, policymakers, and researchers interested in leveraging information technology to improve English language instruction in higher education institutions.
The Effectiveness Of Snakes And Ladders Game As Clean And Healthy Living Behavior Learning Media In Pandemic Period For Elementary Students

Health promotion is very important in the midst of the COVID-19 pandemic. Clean and healthy living behavior is one of the ways to prevent the transmission of COVID-19. Health promotion cannot be separated from media use as delivering information to the target. One of the media that can be used to the children’s target is the snakes and ladders game. The snakes and ladders game are an exciting educational game for school-age children so that they are interested in learning while playing and make it easier for students to accept the information provided. This study aims to analyze the effectiveness of the snakes and ladders game as a learning media for clean and healthy living behavior during a pandemic in student elementary, based on knowledge, attitudes and practices of children with clean and healthy living behavior to preventing COVID-19. This research is quantitative research with a quasi-experimental research method with a non-equivalent control group design. This research was conducted at the Elementary School of Aranio 01, Banjar Regency, South Kalimantan Province with 23 students as the subject from grades IV, V and VI. Data analysis using paired t-test. The results showed that there was an average value difference in knowledge about COVID-19 from the treatment group before the intervention, 2 weeks and 1 month after being given the intervention (p value = 0.005 and 0.017), there was an average value difference in attitudes towards COVID-19 in the treatment group before being given the intervention, 2 weeks and 1 month after being given the intervention (p value = 0.013 and 0.027). The snakes and ladders game are effective as a learning media to change student’s knowledge and attitudes toward clean and healthy living behavior to prevent COVID-19.
Clickbait Detection in Indonesia Headline News Using IndoBERT and RoBERTa

This paper explores clickbait detection using Transformer models, specifically IndoBERT and RoBERTa. The objective is to leverage the models specifically for clickbait detection accuracy by employing balancing and augmentation techniques on the dataset. The research demonstrates the benefit of balancing techniques in improving model performance. Additionally, data augmentation techniques also improved the performance of RoBERTa. However, it resulted differently for IndoBERT with slightly decreased performance. These findings underline the importance of considering model selection and dataset characteristics when applying augmentation. Based on the result, IndoBERT, with a balanced distribution, outperformed the previous study and the other models used in this research. Furthermore, by incorporating balancing and augmentation techniques, the research surpasses previous studies, contributing to the advancement of clickbait detection accuracy. This work highlights the value of leveraging pre-trained Transformer models and specific dataset-handling techniques. The implications include the necessity of dataset balancing for accurate detection and the varying impact of augmentation on different models. These insights aid researchers and practitioners in making informed decisions for clickbait detection tasks, benefiting content moderation, online user experience, and information reliability. The study emphasizes the significance of utilizing state-of-the-art models and tailored approaches to improve clickbait detection performance.
Watermark Hiding in HDR image based on Visual Saliency and Tucker decomposition

Recently, great attention has been paid to high dynamic range (HDR) images because of their richly detailed and high dynamic range of intensity.The need for pre-processing of the HDR image format with tone mapping (TM) operators makes it unique; the TM operators are provided on display with a low dynamic range (LDR).On the other hand, TM can be regarded as an inevitable attack when protecting HDR image ownership is considered.An adaptive approach for concealing watermarks based on visual saliency and Tucker decomposition has been presented in this article.In the first step, three feature maps were produced and split into three color components (RGB) using the host image.Considering that out of the three feature maps, the first one represents the most significant part of the information in the HDR image, it was selected due to its robustness in terms of watermark insertion.Afterward, an HDR image saliency is created to identify the most significant locations that can be used to securely embed data to achieve a balance between visual quality and watermark strength.The salience map is produced by decomposing a specific HDR image into three LDR images with various intensity levels using a tonemapping operator.Consequently, the contrast feature (CF) model is applied to each decomposed LDR image; then, the three saliency maps are integrated into a single map.Results of the experiments show that the proposed technique demonstrated superior performance compared with the extant algorithms for HDR image watermarking in terms of resisting various attacks while considering invisibility and embedding capacity
Parental Support towards Young Learner’s English Achievement

Teachers and parents must support students while studying at home because the problem with learning at home today is the lack of support and facilities. Lack of support and facilities can affect the learning process, greatly affecting the learning achievement of young people. The purpose of this study was to analyze the impact of intrinsic aspects of parental support such as education and parents' employment on children's English learning outcomes. This research is using mixed-method method. The subjects of this study were 5th grade elementary school students and their parents, totaling 31 people. Data search was carried out in two ways, namely surveys and interviews. The findings of this study indicate that parents with formal employment and a history of higher education provide 3 to 4 types of support to their children, while parents with informal employment and a history of low to secondary education provide 1 to 3 types of support. Based on the student's English score, the student with the highest score of 90, received 3 to 4 types of support from their parents. It can be concluded that parents' occupation and educational history of parents have an impact on providing support to children which has an impact on children's English learning outcomes.
Application of Association Rule Mining Algorithm based on 5G Technology in Information Management System

In this paper, an application method of association rule mining algorithm based on 5G technology in information management system is proposed to solve the problems of long running time and low processing efficiency in traditional financial information processing system. The association rule mining algorithm's employment in information management systems is the main topic of this research study, which is based on 5G technology. The efficiency and efficacy of information management systems have a lot of room to grow with the introduction of 5G. Large datasets may be mined for patterns and associations using the potent approach known as association rule mining. We want to improve the performance of information management systems by fusing association rule mining with the capabilities of 5G technology. The experimental findings indicate that in the first group of trials, the traditional system’s time for information mining is identical to that of the developed system, which is around one minute. The typical system's time to mine financial information, however, steadily grows with the amount of experimental data. The difference between the two is most obvious in the sixth experiment. Because the design system can delve deeply into the financial information, the overall information mining time of the financial information management system based on the association rule mining algorithm of the design is shorter. It is confirmed that the system for automatically processing financial information described in this study has a high level of processing accuracy and a positive processing outcome.
The Effectiveness of U-Dictionary as Learning Media to Improve Students’ Vocabulary Achievement at Senior High School

Vocabulary is very important in learning English. Students learning grammar without vocabulary will have a hard time understanding what they are trying to say. Meanwhile when studying English as a second language, people must have a sufficient vocabulary to express themselves and learn a wide variety of words to avoid being detected when they read, write, listen, or speak in English. This study aims to analyze the effectiveness U-Dictionary as media to students’ vocabulary achievement at senior high school at tenth grade. In this study, the design used quantitative pre-experimental. Population In this study that was students at tenth grade in senior high school, divided among all fifteen classes using the technique of random sampling. Instrument in this study used test in objective form. The result could be concluded was proved that the alternative hypothesis (Ha) accepted, meanwhile the null hypothesis rejected (H0) rejected. After using the t-test formula after the test, where the t-test value (3053) was greater than the table value t (1.994) at the 0.05 or 5% significance level in the two-tailed test with df 70. The conclusion showed the U-Dictionary can effective to student’s vocabulary achievement at senior high school.
Free Will in the World as a Computer Simulation

The article discusses the original many-worlds version based on the model of the world as a computer simulation, namely the space of a video game. Based on the interpretation of Benjamin Libet's experiment an assumption is made about how a person can function in a virtual game reality being and perceived as basic. This case shows that the question of the freedom of a person`s actions acquires a new meaning. In particular, in this situation, the acting person is proved to be actually deprived of the opportunity to act since decisions are made for him by someone else, for whom, in turn, decisions could be also someone else`s. The implementation of the described in the article scenario is theoretically possible — on obligatory condition of the successful creation of artificial intelligence and the availability of technical capacities which are necessary for the functioning of complex virtual systems. Obviously, at the moment neither one nor the other has been developed. But this is a highly topical issue and in modern scientific This work uses modeling and intellectual experiment methods: a simplified simulation model of a popular open-world video game is taken to demonstrate the main idea. Its example shows how the observable world can be realized — one of the possible versions of the multiverse.