Reviewerly/exHarmony huggingface dataset:
Reading Scene Text with Aggregated Temporal Convolutional Encoder

Reading scene text in the natural image is of fundamental importance in many real-world problems. Text recognition has a profound effect on information processing by enabling automated extraction and interpretation. Recent scene text recognition methods employ the encoder-decoder framework, which constructs the encoder by obtaining the visual representations based on the last layer of the backbone network and then feeding them into a sequence model. In this article, we propose a novel encoder structure that performs the feature extractor and the sequence modeling within a unified framework. The introduced Aggregated Temporal Convolutional Encoder (ATCE) first incorporates the temporal convolutional layers to consider the long-term temporal relationship in the encoder stage. The aggregation of these temporal convolution modules is designed to utilize visual features from different levels, by augmenting the standard architecture with deeper aggregation to better fuse information across modules. We also study the impact of different attention modules in convolutional blocks for learning accurate text representations. We conduct comparisons on several scene text recognition benchmarks for both Chinese and English; the experiments demonstrate the complementary ability with different decoder variants and the effectiveness of our proposed approach.
RBF-Based Camera Model Based on a Ray Constraint to Compensate for Refraction Error

A camera equipped with a transparent shield can be modeled using the pinhole camera model and residual error vectors defined by the difference between the estimated ray from the pinhole camera model and the actual three-dimensional (3D) point. To calculate the residual error vectors, we employ sparse calibration data consisting of 3D points and their corresponding 2D points on the image. However, the observation noise and sparsity of the 3D calibration points pose challenges in determining the residual error vectors. To address this, we first fit Gaussian Process Regression (GPR) operating robustly against data noise to the observed residual error vectors from the sparse calibration data to obtain dense residual error vectors. Subsequently, to improve performance in unobserved areas due to data sparsity, we use an additional constraint; the 3D points on the estimated ray should be projected to one 2D image point, called the ray constraint. Finally, we optimize the radial basis function (RBF)-based regression model to reduce the residual error vector differences with GPR at the predetermined dense set of 3D points while reflecting the ray constraint. The proposed RBF-based camera model reduces the error of the estimated rays by 6% on average and the reprojection error by 26% on average.
Artificial Intelligence and Computational Pathology: A comprehensive review of advancements and applications

Abstract Conventional pathology is essential for disease diagnosis, but challenges like inter-observer variability can impact treatment decisions. Immunohistochemistry assays improve patient identification, but advanced quantitative tools are needed for accurate marker quantification and spatial analysis. AI enhances accuracy in pathology by contextualizing spatial data and revolutionizing medicine through advanced data processing and machine learning. Clinical informatics and AI integration advance patient care and open new horizons in pathology. Artificial intelligence (AI) is crucial in pathology, leveraging deep learning techniques to integrate pathological images with radiological, clinical, and genomic data. These pattern recognition methods enhance disease diagnosis and prognosis assessment. This review article provides an overview of AI in pathology, recent advancements, and future prospects. It emphasizes digital pathology, image acquisition, data preprocessing, and feature extraction for AI-driven pathology analysis. A comprehensive analysis of the key findings and outcomes from recent studies incorporating AI in pathology is done. A focus on various applications, including but not limited to cancer diagnosis, grading, and prognosis, as well as the identification of specific tissue patterns and rare diseases. The impact of AI on workflow optimization, quality assurance, and predictive analytics in pathology is also discussed. This section explores the implications and challenges of AI adoption in pathology. We discuss benefits like enhanced accuracy and resource allocation but also cover limitations such as dataset requirements, ethics, interpretability, and regulations. Ongoing research and collaborations aim to address these concerns and ensure responsible AI implementation in pathology.
Land and Building Tax Calculation Application (E-PBB)

Introducing an efficient land and building tax computation system can have favorable outcomes for the rural community and its inhabitants. The management and authenticity of data about the distribution of Property Tax Notification Letters (SPPT) have historically posed issues within the tax management process.&#x0D; The e-PBB program for calculating land and building taxes in the Tribaktimulya Village case study is implemented as a web-based platform. The application utilizes quantitative data collection methods, including observation, interviews, and literature reading. The system is developed with the Object-Oriented Analysis and Design (OOAD) methodology, which encompasses the stages of analysis, design, and system implementation centered around objects.&#x0D; The design of this system is anticipated to enhance the ability of village authorities to input and compute land and building taxes that are either outstanding or paid. Automating the calculation process will enhance efficiency while simplifying tax report generation will contribute to a more effective and streamlined operational workflow.
Designing An Application for Recording Data on Incoming and Outgoing Medicines Using the First In, First Out Method

The health service center in Bandung Regency is a place for taking medicine for sick residents. The pharmacy is responsible for procuring, ordering, receiving, storing, distributing, recording, and reporting medicine supplies. The series of drug data processing activities for health services starts from ordering drugs, collecting drug data, dispensing drugs, and recording and reporting. To make it easier to record transactions and report drug supplies, a particular application based on PHP programming and a MySQL database was created, which is expected to assist in recording drug purchase and sale transactions, as well as creating reports so that it can further increase the effectiveness of work at pharmacies in providing services, towards citizens.
The UI/UX Design with Design Thinking Method for The University Complaint Website

One system that can be used to manage and resolve complaints within the university is the complaint system. The Complaint System that has been provided at UPN "Veteran" East Java seems not to be optimal because the service response is slow. The design of the UI/UX complaint website "Wadulan Ing UPNVJT" was carried out using the design thinking method in this study, which focuses on potential users so that they can produce websites that meet user criteria. The purpose of designing this website is to produce complaints system designs and features that suit user needs by rearranging problems and adopting ideas through a direct approach to users. The results of the study are a complaint system prototype in the form of a display for users and admins based on exploring needs and searching for the core problems experienced by users. The approach taken is to use a questionnaire with a total of 18 samples at the empathize stage and involve 5 respondents at the testing stage. The conclusion obtained from the test results using usability testing is that the website that has been designed meets the user criteria with a percentage result of 94% which can be categorized as very good.
THE CORRELATION BETWEEN STUDENTS’ INTEREST IN ENGLISH YOUTUBE CONTENTS AND THEIR VOCABULARY MASTERY AT PGRI UNIVERSITY OF BANYUWANGI

Interest is important because it will be a motivating force for encouraging students to learn. It is also an aspect of motivation building, a phenomenon that arises as a result of social interaction and student interaction in learning activities. This research was aimed at finding out whether there is correlation between students’ interest in English YouTube contents and vocabulary mastery. Furthermore, in this quantitative research, the researcher used correlation research design. The population of this research was fourth semester of students of English department of PGRI University of Banyuwangi. This study used a sample of 13 students from the 2019 class. The researcher gave questionnaires to know students’ interest in English YouTube contents, and test to know the students’ vocabulary mastery. The result of this research shows that there is no correlationm between students’ interest in English YouTube contents and vocabulary mastery. It is provided by the t ro = 0,05 and rtable = 0.552 with a standard of significant 95%. The value of correlation product moment is lower than r table (0,05 &lt; 0.552). It found that rxy = 0.05 in r table on the interval 0.00 – 0.199. So, the null hypothesis (H0) of the research is accepted , but Ha is rejected. It means there is no correlation between Students’ Interest in English YouTube Content and Their Vocabulary Mastery at PGRI University of Banyuwangi.
M. V. Yudina as a representative of the Silver Age in the cultural space of the USSR

The article is dedicated to the legendary pianist Maria Veniaminovna Yudina (1899–1970). Interest in her work does not fade away. And today, many musicians and researchers again turn to her personality, creativity, analyze her unique performing skills, and study her pedagogical activity. Nevertheless, despite this interest and rather extensive literature, the problem of the spiritual world of M. V. Yudina, who was formed from early childhood under the influence of the family, the atmosphere of the Silver Age, and also thanks to communication with friends, including philosophers, writers, poets, such as M. M. Bakhtin, A. F. Losev, P. A. Florensky, Z. N. Gippius, D. S. Merezhkovsky, B. L. Pasternak, A. Bely, K. D. Balmont, Vyach. Ivanov and many others. The authors pay special attention to the spiritual and moral values (kindness, love for people, mercy, mutual assistance), which M.V. Yudina always followed. It was difficult for the outstanding pianist to maintain her Christian beliefs and values in this atmosphere and follow them daily until 1970. As a result, her whole life became a real spiritual, aesthetic and social feat.
Robotic Operating Room Configuration

The area of the da Vinci Robotic Operating Room is recommended to be around 60 m2 to easily move the equipment flexibly. In the overall layout, fully consider the use of doors, power sockets, and overhead structures. The doctor’s console is fixed on the wall outside the central area of the operating room, ensuring that the surgeon can look directly at the operating area and communicate with the assistant. The patient’s surgical platform is placed on the principle of ensuring the largest patient-side contact area. The patient’s surgical platform is placed on the principle of ensuring the largest patient-side contact area. The da Vinci Xi system supports 2700 patient contact areas, which can be placed anywhere around the patient. According to our experience, placing the patient’s surgical platform on the right side of the patient can meet most operations. For surgery where the target anatomical site is not in the midline, such as kidney surgery, place the patient’s operating platform on the side of the target anatomical site. The image processing platform is placed on the side of the end of the operating bed to ensure that the operator of the patient operating platform can see the image processing platform components and touch screen, and fix the equipment compatible insufflator, energy platform, electric knife, and other equipment in the image processing platform host, which not only saves space, but also reduces repeated movement and connection of equipment. Display equipment is installed on the mobile arm or wall to facilitate the operator of the patient’s surgical platform to obtain image information from multiple angles. In the limited operating room space, reasonably adjust the spatial layout of power supply, air source, various information interfaces, and medical equipment to reduce the interference of equipment layout on laminar flow, ensure the safety of the operating environment, and improve the work efficiency of relevant personnel and patient satisfaction.
Mask-RCNN with Attention Mechanism for Detection and Segmentation

In many existing hospitals and pharmacies, check medicine is done manually which is a time-consuming process. In addition, simple repetitive tasks can lead to eye fatigue and improper drug tests can lead to medical accidents. For the sake of solve this problem, this paper proposes a object detection and semantic segmentation algorithm based on improved Mask R-CNN. We use a new feature extraction network ResNeXt to improve the generalization ability of the feature extraction network. Moreover, the Coordinate Attention mechanism is added to the feature extraction network to increase the attention to location information and improve the performance of the network. Experiments show that the proposed method is superior to the previous methods in object detection and instance segmentation.
Efektivitas Konseling Kelompok Teknik Self-Instruction Untuk Mereduksi Kejenuhan Belajar Siswa SMP Negeri 9 Banjarbaru

This study aims to determine the effectiveness of group services using self-instruction techniques in overcoming the boredom of learning in seventh grade students of SMP Negeri 9 Banjarbaru. This study uses an experimental quantitative research method that examines the effectiveness of group counseling services with self-instruction techniques on the learning saturation of class VII students of SMP Negeri 9 Banjarbaru, the measurements were carried out twice, namely before and after being given treatment with a measurement tool using a questionnaire/questionnaire and the subject in this study were seventh grade students of SMP Negeri 9 Banjarbaru. After the research was conducted and the results obtained from the implementation of the self-instruction technique group counseling service intervention to students who had a high level of learning saturation. For this reason, the intervention was given to students with a high level of learning saturation and with group counseling service interventions using self-instruction techniques.
Effectiveness of Application Heat Transfer Practice Module in Retreading Technology

The phenomenon of heat transfer is a science that must be learned by engineering students. Retreading process is one of the heat transfer phenomena in the process of repairing damage to rubber tires in vehicles. This study aims to reveal the effectiveness of the use of the heat transfer practicum module in the retreading process of the inner tube. This type of research is R and D, where the module contains several test parameters which include; surface pressure, heating temperature and time, and dimensions of the patched rubber compound. The 20 respondents selected for this study were mechanical engineering students at PGRI Banyuwangi University. The test includes aspects of the suitability of practical procedures and cognitive abilities in describing the process and mathematical solving of the heat transfer rate for each experimental parameter. The results show that the heat transfer module developed is quite feasible to use, this is based on the results of measuring the satisfaction of respondents in general, assessing it very well with an average of 59.8%. While on the aspect of learning effectiveness, it can be concluded that the practice module is included in the very effective category, where this is shown by increasing the percentage of respondents' abilities which are shown through changes in values before and after the implementation of the module.
Development of an Integrated Scheduling System Prototype at the Department of Electrical Engineering Education, Makassar State University

This study aims to produce a prototype of an integrated scheduling system that manages all activities related to scheduling within the Department of Electrical Engineering Education, Makassar State University. An integrated scheduling information system was developed using the Research and Development (R&amp;D) research method by collecting data from observation and interviews. The prototype development model is carried out in various integrated stages so that a web-based scheduling system design is obtained with the aim of providing optimal services to lecturers and students so that lecture activities can run well and effectively..
Digital Education Products: Can Digital Education Products Affect GDP Growth?

The widespread use of new information and communication technologies in education has changed the nature of the general economic environment. There is an increase in digital educational resources all over the world. However, what is the weight of the business of digital education products in GDP and how this business affects GDP growth? The paucity of literature on the relationship between digital educational products and GDP calls for a thorough study of this relationship. The article is devoted to an analysis of the relationship between digital educational products and GDP. This is one of the problems with the development of the digital economy. Our main research hypothesis is to find the level of connection between digital educational products (resources) and GDP, as well as the level of influence of qualitative and quantitative factors on this connection. It should be noted that the absence of many statistical data during the analysis made our work difficult, and many factors are of a qualitative or fuzzy nature. Based on such indicators, econometric models are not suitable for determining the dependence of a factor on other parameters. The study used the statistical data of Azerbaijan for 2010-2020. The fuzzy output logic method was implemented in the MATLAB software package. It was revealed that digital educational products affect the growth of the GDP and the balanced development of the country. The approach proposed in this paper is that the digitalization of education and the improvement of public education and technology policies should continue. We believe that in connection with the growth of the digital education market, the State Statistics Committee will need to generate specific data on digital educational products in the future.
Complete population transfer between next-adjacent energy levels of a transmon qudit

The utilization of qudits in quantum systems has led to significant advantages in quantum computation and information processing. Therefore, qudits have gained increased attention in recent research for their precise and efficient operations. In this work, we demonstrate the complete population transfer between the next-adjacent energy levels of a transmon qudit using the Pythagorean coupling method and energy level mapping. We achieve a |0〉 to |2〉 transfer with a process fidelity of 97.76% in the subspace spanned by |0〉 to |2〉. Moreover, the transfer operation is achieved within a remarkably fast timescale, as short as 20 ns. This study may present a promising avenue for enhancing the operation flexibility and efficiency of qudits in future implementations.
What is History ‘for' in CSCW Research?

This panel will host a debate about the possible roles of HCI within CSCW research. To do so, it assembles five intellectually diverse researchers who contribute to the field of CSCW, while taking divergent approaches to incorporating an historicist sensibility in their work, as a matter of design, politics, reflection, or research. Panelists will briefly answer the following prompts: What is history for? What does good historical work look like? And, what is distinct for historicism in CSCW? Then, panelists and audience will discuss and compare answers. The goal of the panel is to further hone the discussion and method of historicism, and to invite a wider cross-section of the community of CSCW into the conversation.
ConceptCombo: Assisting Online Video Access with Concept Mapping and Social Commenting Visualizations

As access to educational video resources has been enhanced through search tools, recommender systems, and social channeling, users often encounter challenges in integrating diverse videos systematically, particularly when they possess a limited understanding of the topics at hand (e.g., novice learners). To address this challenge, we present ConceptCombo, a video navigating interface facilitating user explorations of unstructured video collections with conceptual structures and themes of social comments extracted from videos and visualized by the system. To help novices identify a series of quality videos to watch, ConceptCombo aims to deliver a structured overview of the video collection by systematically extracting a concept map from the video content, coupled with automatic summarization of user comments across the videos, as a treemap visualization. With ConceptCombo, novice users may adopt a synergistic approach to video exploration, underpinned by the semantic structure of the video content, social comments, and additional video metadata.
Preservation of West Java Culinary Recipe Using Augmented Reality, Photogrammetry, and Storytelling Illustration

Many traditional culinary recipes from West Java are lost because they are not well-documented; this is a concern for many parties. Losing the recipe means losing the "artifacts" of traditional culinary and precious history and philosophy, which are part of local wisdom. Therefore, modern documentation is needed, which is informative, interactive, engaging, and loved by the young generation. This research is about designing West Java traditional culinary recipes using augmented reality, photogrammetry, and storytelling illustration. This study employs action research. For the data collection method, structured interviews with West Java culinary lecturers and Assemblr Augmented Reality (AR) apps creators were used. Then, this data will be used as content for proposing a design solution. Based on the research conducted, the attempt to preserve West Java culinary recipes using augmented reality, photogrammetry, and storytelling illustration is determined by the extent of the fresh, fun, and fascinating concept in all these media to create an excellent first impression as an exciting medium. Once the audience is interested, the transfer of knowledge afterward will be smoother. Fun and funny illustrations can generate the desire to find and taste these traditional foods.