Reviewerly/exHarmony huggingface dataset:
FUNCTIONAL GRAMMAR EXERCISES IN A LOCAL JUNIOR HIGH SCHOOL ENGLISH TEXTBOOK IN INDONESIA: A CRITICAL DOCUMENT STUDY

Several studies have been conducted on English textbook, especially in examining the contextual meaning of a language (Setyono &amp; Widodo, 2019; Widodo, 2015; Widodo, 2018; Xiong &amp; Qiang, 2012). Moreover, there were less study that focused on addressing the functional grammar exercises in a local junior high school English textbook in Indonesia. This present study is designed for elucidating the most matter reason for implementing functional grammar exercises in local English textbooks especially for junior high school. Using critical document study (Hatch, 2002) and using transitivity analysis (Halliday, 1994). The result examined that the local English textbook only implemented the traditional grammar exercises in designing the grammar exercises. Moreover, this study suggested for the next study focus on examining classroom practices of traditional grammar exercises and functional grammar exercises.
AUTHENTIC MATERIALS IN EFL CLASSES: FROM PAST TO PRESENT

This study attempts to explore the types of authentic materials used in EFL classes from past to present. The researcher collected 120 previous studies from 2012 to 2021 to analyze the types of authentic materials used in EFL classes from time to time. The finding of this study shows if the types of authentic materials used in 2012 to 2015 are public announcements, radio news, movies, magazines, newspaper, and songs. While for 2016 to 2021, there are new types of authentic materials used, namely podcasts and YouTube videos. The most popular authentic materials are songs and movies. Previous studies that have been collected from year to year have concluded that of the many types of authentic materials, there are some authentic materials that are more popular than others. This is due to several factors, namely the changing times which have made changing a trend in the world of education, the easier access to certain materials, and students’ interest for certain materials.
Effect of Jigsaw Reading in Enhancing Students’ Understanding at UIN Sunan Ampel Surabaya

The focus of this study is to investigate the effect of jigsaw reading in enhancing students comprehension, generally in all materials. Survey research was used as the research method, and for the research design, the researcher used quantitative research. The research subjects were 31 fifth semester students of UIN Sunan Ampel Surabaya who were picked randomly, and considered to have been experienced online learning for 2 years. Questionnaires consist of sixteen questions were used as the instruments which dealing with students’ perspectives in having online learning. After distributing questionnaires and analyzing the data, it has been found out that there were fierce battle going on between neutral students and agree students since they are still unsettled in choosing online or offline learning since both of them have their own characteristics. In conclusion, this study found that most of the students agreed that having online learning can upgrade their materials understanding.
QUICK RESPONSE (QR) CODE'S USE AND STUDENTS' MOTIVATION IN ENGLISH ONLINE LEARNING: A CORRELATIONAL STUDY

The application of Quick Response (QR) code as teaching media has become growing favored. Previous studies demonstrated that it can improve the student’s motivation in learning. Hence, this research aims to find and demonstrate the correlation between using Quick Response (QR) Code as assisted language media and student's motivation in English online learning. The type of this research is quantitative research with a descriptive correlational design. The research population is the 5th semester students of English Language Education Department UIN Sunan Ampel Surabaya. The sample used is 30 students with techniques Random Sampling. The data have been collected by using questionnaire consisting of 12 questions on using Quick Response (QR) Code as assisted language learning and 12 questions on students' motivation in English online learning. After gaining the data, the data were analyzed by using Pearson Product Moment on SPSS software version 25. Correlation coefficient obtained in this study was 0.807 with a significance level of 0.00 (p &lt;0.05). It can be concluded that there is a positive and significant correlation between using Quick Response (QR) Code as assisted language media and students' motivation in English online learning.
Students’ Perception Towards English Day Program in Speaking Skill Development

The English Day Program (EDP) is one of the strategies used by schools to achieve communicative speaking activities in the classroom or in the school as a whole. This study aims to determine whether the English Day program can develop students' English-speaking skills. This study uses a survey as a research method by using a questionnaire as an instrument. A questionnaire was distributed to a total of 30 students who were selected using a sampling technique. This research was conducted at SMAN 2 Jombang which is a favorite school that has an English Day program in it. The results of the study found that: 10 positive statement items indicating the total column of the Agree section which shows the number 125 and the Strongly Agree column which shows the number 57, 2 items show the total column of the Agree section which shows the number 27 and the Strongly Agree column which shows the number 23, and it can be concluded that students' perception towards English Day program in students' speaking skill development is positive perception.
Compensation of Low Current by Photoelectric Methods

The cost of extracting conventional energy is increasing and conventional energy itself is becoming very scarce and research indicates an increase in pollution, and it also shows that the depletion of conventional energy sources is inevitable. All that means there is a dire need for an alternative type of energy, that is clean, easy to install and cost effective and that is Photovoltaic (PV) energy, which is available in abundance in the study area of research, in which unreliable conventional energy is used, is usually out of power for more than 12 hours a day and this shortage in power affects many sectors in the city, such as hospitals, schools, farms and basic facilities and even the refrigerators of the dead, whose bodies have been decomposed due to power shortage. This paper studies the power situation in the town area, on latitude (31.53) and longitude (23.54), and finds an alternative renewable energy source, namely PV, and designs a reliable PV system that would compensate for the usual conventional power shortage suffered by Tobruk City. Two load scenarios are considered, one is the required load in which only the essential electric devices are involved and the other is optional in which some extra electric households are added. It is believed that this power solution would not only guarantee the availability of power for the town area, but it also saves money in the long run and saves the environment since it is a clean that is easy to install and maintain.
The Experience of Building an Epistemological Space of Communicability of the Concepts of the Philosophy of Science

The article presents the experience of building an epistemological space of communication of the concepts of the philosophy of science. Based on his experience of teaching philosophy of science at three universities, the author raises the question of the conditions for building such a space. One condition is the analysis of different approaches to constructing the concepts of science. The second is the correction of one’s own approach and understanding of science, which would take into account other approaches to the study of science and the results obtained in them. The concepts of K. Popper, T. Kuhn, S. Toulmin, I. Lakatos are chosen for correction. In addition, the author’s concept of science is presented, carried out within the framework of the cultural-historical approach and general methodology. The author distinguishes two start-ups of science - the ancient one, where the ‘genome of science’ is formed, and the new European one, in which science and its genome function as an ‘institution of modernity’ are presented. He shows that in the construction of the theory of science, an important role is played by problems arising in culture, their resolution with the help of schemes, the construction of ideal objects based on schemes and logic requirements, which allow building a theoretical discourse, solving problems within its framework, comprehending empirical material. The methodological analysis made it possible to state that the development of science is not only a law-like process, due to the change of cultures, personality traits of scientists and forms of understanding science (“conceptualization” of science), but also a singular process in which each historical step in the development of science brings unique features with it. (they can be described, but cannot be subsumed under the concepts of ‘law’ or ‘regularity’). These provisions correspond to the ideas about science by Popper, Kuhn, Toulmin and Lakatos. At the same time, the author shows that they set themselves the task of explaining scientific revolutions or the historical development of science, but they took modern natural science as the ideal of science, often referred to the situation of the formation of modern science to illustrate these processes, and replaced the historical study of science by constructing it as a constant mechanism.
THE TRANSFORMATION OF THE INDIVIDUAL SELF-CONSCIOUSNESS IN NEW REALITIES

The authors of the article consider the problem of the impact of digitalization of education on a person, the change in its value-semantic sphere in the context of a pandemic and social isolation. Situations of uncertainty and social instability not only change the usual way of life, but also lead to stress, anxiety and tension. The change in value orientations in the structure of personality makes the problem of studying self-consciousness especially relevant. The complete transition to distance education has made its adjustments to the content of education and upbringing, forms and methods of its organization in higher educational institutions. The article presents the results of an online survey among students and teachers of the university in order to analyze the attitudes of students and teachers to a complete transition to distance learning in the context of restrictive measures; psychological state and difficulties that have arisen in the educational process of the university. The authors offer recommendations for psychological support aimed at reducing psychological pressure, preventing stress and ways to get out of it.
Prediction of Custom-Built Bi-Facial PV Panel Output Including Weather Parameters

A procedure for predicting the power output of a custom-made bi-facial PV panel which includes weather parameters like temperature, pressure and humidity is proposed in this article. Weather data as well as panel output were recorded from an experimental bench setup on the rooftop. The data was recorded for a period of three months in the winter season. The bi-facial PV panel was built by using two mono-facial panels hooked back to back. Three different expectation functions for arriving at the panel output were considered. The correlation between the recorded weather parameters and PV panel output were evaluated. It was found that multi-variable non-linear models are required to analyze the expectation functions and to predict output power. The recorded data from the test bench was used to train the proposed expectation functions. The developed algorithm showed excellent match between recorded and predicted outputs. The R-squared and variance properties were very good.
Detecting Smart Contract Project Anomalies in Metaverse

The metaverse virtual assets are carried by smart contract, thus detecting the potential smart contract vulnerabilities and malicious intension is critical to protect the metaverse digital assets and the investors’ confidence. However, existing research mainly focus on the Ethereum address features, which can hardly reveal the characteristics of the entire smart contract project. In this paper, we take the first step to detect smart contract anomalies on the granularity of smart contract project, and propose a method to identify the smart contract project’s subordinate addresses, and a model network which takes the runtime features of the smart contract project. We further apply our method on our dataset collected from projects deployed on Ethereum, and prove that our method could effectively recognize the similarity of smart contract projects, and identify the malicious transactions which trigger smart contract project anomalies.
The Value of a Data and Digital Object Management Plan (D(DO)MP) in Fostering Sharing Practices in a Multidisciplinary Multinational Project

Data Management Plans (DMP) are now a routine part of research proposals but are generally not referred to after funding is granted. The Belmont Forum requires an extensive document, a &lsquo;Data and Digital Object Management Plan&rsquo; (D(DO)MP) for its awarded projects that is expected to be kept current over the life of the project. The D(DO)MP is intended to record team decisions about major tools and practices to be used over the life of the project for data and software stewardship, and for preservation of data and software products, aligned with the desired Open Science outcomes relevant to the project. Here we present one of the first instances of the use of Belmont&rsquo;s D(DO)MP through a case study of the PARSEC project, a multinational and multidisciplinary investigation of the socioeconomic impacts of protected areas. We describe the development and revision of our interpretation of the D(DO)MP and discuss its adoption and acceptance by our research group. We periodically assessed the data management sophistication of team members and their use of the various nominated tools and practices. As a result, for example, we included summaries to enable the key components of the D(DO)MP to be readily viewed by the researcher. To meet the Open Science outcomes in a complex project like PARSEC, a comprehensive and appropriately structured D(DO)MP helps project leaders (a) ensure that team members are committed to the collaboration goals of the project, (b) that there is regular and effective feedback within the team, (c) training in new tools is provided as and when needed, and (d) there is easy access to a short reference to the tools and descriptions of the nominated practices.
Meta Flow Experience: Exploring Group Mindfulness Meditation in the Immersive Environment with Multi-senses Feedback

This research presents an exploratory study focusing on developing the immersive mindfulness meditation group experience. The primary goal is to observe the impact of Extended Reality (XR) on enhancing people’s awareness and cultivating inner tranquility. Previous works have explored the benefit of group meditation and the potential of utilizing multisensory feedback in XR. Our study designs an activity that employs interactive digital art to help the therapist verbally convey the concept of mindfulness meditation through participants’ senses, including visual, olfactory, gustatory, auditory, haptic, interoceptive, and proprioceptive perceptions. Unlike the traditional mindfulness meditation experience, the XR experience provides multiple channels for participants to engage in mindfulness, extending beyond mere imagination. By surrounding the therapist’s healing script in immersive projection, the experience can stimulate participants in the space in which they exist physically. To collect participant feedback, we did a short questionnaire with 68 responses. The result shows that few attendees would connect the activity with other traditional psychological therapy activities they attended, but most participants indicated that they had a different experience. Like the conventional activity, it brings them a calm and peaceful mind. The study gathered considerations for designing group mindfulness meditation, including participant preparation and selection, the provision of multisensory stimulation, and essential factors when collecting feedback.
ASMRcade: Interactive Audio Triggers for an Autonomous Sensory Meridian Response

Autonomous Sensory Meridian Response (ASMR) is a sensory phenomenon involving pleasurable tingling sensations in response to stimuli such as whispering, tapping, and hair brushing. It is increasingly used to promote health and well-being, help with sleep, and reduce stress and anxiety. ASMR triggers are both highly individual and of great variety. Consequently, finding or identifying suitable ASMR content, e.g., by searching online platforms, can take time and effort. This work addresses this challenge by introducing a novel interactive approach for users to generate personalized ASMR sounds. The presented system utilizes a generative adversarial network (GAN) for sound generation and a graphical user interface (GUI) for user control. Our system allows users to create and manipulate audio samples by interacting with a visual representation of the GAN’s latent input vector. Further, we present the results of a first user study which indicates that our approach is suitable for triggering ASMR experiences.
Computer Vision System For Backflip Motion Recognition in Gymnastics Based On Deep Learning

Reliance on computer vision systems in the sports field is one of the very important topics, which are of high importance, especially in the arbitration process or evaluating the accuracy of the player’s performance of the movement. It is better to rely on computer vision systems that are more accurate in the arbitration process. In this article, a method was presented to distinguish one of the important movements of the gymnastics player, by relying on deep learning techniques. The dataset was built based on high-quality video clips found on YouTube for tournaments held from the period 2018-2022, due to the absence of The dataset available. This data was divided into three sections: 70% for training, 10% for validation, and 20% for testing. Two models of the convolutional neural network yolov7 and yolov5 were trained, and the results obtained after testing the results of the models show that the seventh version was the best , Recall, Precision and Mean Average Precision criteria were adopted to evaluate the performance of these technologies.
Fast Video Object Segmentation Network Based on Multi-scale Attention Feature Fusion

The semi-supervised video object segmentation task means to segment the object of interest in the subsequent frames of the video sequence when only the first frame of the video information is known. Faced the dilemma of very little available information, fast moving targets and the existence of similar target objects in the background, which makes it a challenging problem to perform video object segmentation with both speed and accuracy. The current research on video object segmentation algorithms mostly uses fixed-size convolutional kernels, which can lose some global information and make it difficult to capture long-range information, besides, the features from the encoder as well as the decoder subnets have great semantic differences during the skip connection, resulting in poor segmentation accuracy and speed. In this paper, we propose a video object segmentation network based on multi-scale attentional feature fusion. Firstly, a multi-scale feature information extraction module is constructed to retain the information of the multi-scale global context in the encoder structure. Secondly, to enhance the robustness of the network, the feature maps generated by the feature extractor are fed into a bilayer convolution trained online to obtain the coarse mask accordingly. And then, a feature attention fusion module is constructed to complete the full fusion of the information of the two adjacent layers of features in the decoder structure. Finally, in order to reach the best segmentation accuracy, an output optimization module is proposed, which takes multi-scale features, coarse masks, decoder output results as input, progressively performs channel information enhancement along with position information enhancement, eventually outputting more accurate segmentation results. The algorithm has strong contour capture capability as well as foreground recognition capability, maintaining relatively fast segmentation speed and superior segmentation accuracy. The experimental results with a variety of existing advanced video object segmentation algorithms in single-object video object segmentation dataset DAVIS2016, and multi-object video object segmentation dataset DAVIS2017 show that the segmentation accuracy of the algorithm in this paper improves by 2.5% points and 1.3% points in the comprehensive evaluation index J&F, respectively, in the case of comparable segmentation speed. Compared with other algorithms, this algorithm can still achieve better results in terms of segmentation accuracy and segmentation speed.
Active Contour Model Based on Poisson’s Equation and Morphology for Inhomogeneous Image Segmentation

According to active contour model, a novel image processing approach is proposed in this paper, which offers a speedy and effective algorithm and exhibits a remarkable level of precision in conducting image segmentation. The fundamental operations of morphology are employed to fit edge fitting energy. Additionally, the paper defines a variant of the Poisson equation to handle inhomogeneous noises in the image.
Incorporating AI Tool Along with Traditional Method for Speaking Assessment

This work focused on incorporating AI tool with traditional method for speaking assessment. The descriptive qualitative has been implemented to complete this research. Problem encountered during English pronunciation was failing to distinguish between short vowel and long vowel. By employing traditional and AI tool, students got numerous benefits. They may enjoy learning with the flexibility of time and they also can engage face to face interaction while using traditional method furthermore, it is essential to acknowledge AI tool with the limitation and drawbacks. AI tool do not give the same stage of personal interconnection and on-going response as a human facilitator.
The Ordered Covering Problem in Distance Geometry

This study is motivated by the Discretizable Molecular Distance Geometry Problem (DMDGP), a specific category in Distance Geometry, where the search space is discrete. We address the challenge of ordering the DMDGP constraints, a critical factor in the performance of the state-of-the-art SBBU algorithm. To this end, we formalize the constraint ordering problem as a vertex cover problem, which diverges from traditional covering problems due to the substantial importance of the sequence of vertices in the covering. In order to solve the covering problem, we propose a greedy heuristic and compare it to the ordering of the SBBU. The computational results indicate that the greedy heuristic outperforms the SBBU ordering by an average factor of 1,300 $$\times $$ .
Database security

In the modern technological tapestry, the security of database systems has burgeoned into a prominent concern for institutional frameworks. This urgency is invigorated by a dual confluence: the shifting industry paradigm which underscores the primacy of expansive data collections, coupled with the proliferation of legislative frameworks that zealously guard the sanctity of individual consumer data. The core aim of this discourse is to furnish a panoramic understanding of indispensable measures to bolster database security, with an amplified emphasis on countering SQL injection threats. The introductory segment delineates essential fortification strategies and succinctly touches upon optimal practices for shaping a database environments network topography and error mitigation methodologies. Subsequent to this panoramic insight, the discourse pivots to spotlight a diverse array of methodologies to discern and neutralize SQL injection forays.