Reviewerly/exHarmony huggingface dataset:
A discrete component in visual working memory encoding.

Authors:
raw_author_name: Hyung-Bum Park
raw_affiliation_string: Institue for Mind and Biology, University of Chicago.
raw_author_name: Weiwei Zhang
raw_affiliation_string: Department of Psychology, University of California, Riverside.

Abstract: Working memory (WM) is a central cognitive bottleneck, which has primarily been attributed to its well-known storage limit. However, relatively little is known about the processing limit during the initial memory encoding stage, which may also constrain various cognitive processes. The present study introduces a novel method using dynamic stimulus presentation and hierarchical Bayesian modeling to quantitatively estimate visual WM encoding speed. Participants performed a delayed-estimation task with two memory items continuously changing color hues in perceptually unnoticeable steps. Across three experiments, the recall errors systematically shifted toward the direction of color change, providing a proxy measure of encoding speed. Importantly, the observed shifts were best characterized by a temporal lag during the encoding of different items, supported by a mixture of two distributions with credibly distinct encoding times. A supplementary model-free analysis further confirmed the discrete encoding component in visual WM for multiple items. These findings shed light on the temporal dynamics of WM encoding processes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Restoration of UAV-Based Backlit Images for Geological Mapping of a High-Steep Slope

Authors:
raw_author_name: Tengyue Li
raw_affiliation_string: Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China; College of Construction Engineering, Jilin University, 938 West Democracy Street, Changchun 130026, China; Key Laboratory of Geophysical Exploration Equipment Ministry of Education of China, Jilin University, 938 West Democracy Street, Changchun 130026, China

Abstract: Unmanned aerial vehicle (UAV)-based geological mapping is significant for understanding the geological structure in the high-steep slopes, but the images obtained in these areas are inevitably influenced by the backlit effect because of the undulating terrain and the viewpoint change of the camera mounted on the UAV. To handle this concern, a novel backlit image restoration method is proposed that takes the real-world application into account and addresses the color distortion issue existing in backlit images captured in high-steep slope scenes. Specifically, there are two main steps in the proposed method, which consist of the backlit removal and the color and detail enhancement. The backlit removal first eliminates the backlit effect using the Retinex strategy, and then the color and detail enhancement step improves the image color and sharpness. The author designs extensive comparison experiments from multiple angles and applies the proposed method to different engineering applications. The experimental results show that the proposed method has potential compared to other main-stream methods both in qualitative visual effects and universal quantitative evaluation metrics. The backlit images processed by the proposed method are significantly improved by the process of feature key point matching, which is very conducive to the fine construction of 3D geological models of the high-steep slope.
EXPRESS: Processing Wh-filler-gap Dependencies

Authors:
raw_author_name: Alexis Wellwood
raw_affiliation_string: University of Southern California, United States
raw_author_name: Masaya Yoshida
raw_affiliation_string: Northwestern University, Illinois, United States

Abstract: We present experimental evidence showing that different wh-filler-gap dependencies are processed differently, depending on their syntactic licensors. Our studies compared the active storage profiles for why, how, and who (serving as subject or object of the verb). The results of offline and online experiments revealed that these wh-fillers are stored in memory for different durations, and predictably so based on the hypothesized structural distance between each wh-filler and the licensor which determines its grammatical and interpretive functions. Furthermore, the results showed that once the wh-filler is licensed, it is integrated to the current structure, and no longer engenders additional memory costs. Based on these findings, we argue that the mechanism of online sentence processing may employ both storage and integration components in memory.
Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images

Authors:
raw_author_name: Makoto Abe
raw_affiliation_string: From the Department of Pathology, Tochigi Cancer Center, Tochigi, Japan (Abe)
raw_author_name: Fahdi Kanavati
raw_affiliation_string: Medmain Research, Medmain Inc, Fukuoka, Japan (Kanavati, Tsuneki)
raw_author_name: Masayuki Tsuneki
raw_affiliation_string: Medmain Research, Medmain Inc, Fukuoka, Japan (Kanavati, Tsuneki)

Abstract: Squamous cell carcinoma (SCC) is a histologic type of cancer that exhibits various degrees of keratinization. Identifying lymph node metastasis in SCC is crucial for prognosis and treatment strategies. Although artificial intelligence (AI) has shown promise in cancer prediction, applications specifically targeting SCC are limited.To design and validate a deep learning model tailored to predict metastatic SCC in radical lymph node dissection specimens, using whole slide images (WSIs).Using the EfficientNetB1 architecture, a model was trained on 6587 WSIs (2413 SCC and 4174 nonneoplastic) from several hospitals, encompassing esophagus, head and neck, lung, and skin specimens. The training exclusively relied on WSI-level labels without annotations. We evaluated the model on a test set consisting of 541 WSIs (41 SCC and 500 nonneoplastic) of radical lymph node dissection specimens.The model exhibited high performance, with receiver operating characteristic curve areas under the curve between 0.880 and 0.987 in detecting SCC metastases in lymph nodes. Although true positives and negatives were accurately identified, certain limitations were observed. These included false positives due to germinal centers, dust cell aggregations, and specimen-handling artifacts, as well as false negatives due to poor differentiation.The developed artificial intelligence model presents significant potential in enhancing SCC lymph node detection, offering workload reduction for pathologists and increasing diagnostic efficiency. Continuous refinement is needed to overcome existing challenges, making the model more robust and clinically relevant.
Identification of Fencing Athletes Based on Anthropometric Measurements Using MediaPipe Pose

Authors:
raw_author_name: None Suci Aulia

Abstract: Over time, numerous developments in digital technology have benefited people, including anthropometric measurements that provide information on an athlete’s ability in sports. The use of digital technology in sports must continue, particularly in the National Sports Committee of Indonesia (Komite Olahraga Nasional Indonesia, KONI) of Bandung City. This study proposed a technique for classifying and identifying fencing athletes’ talents. This work developed a methodology for evaluating sports talent based on anthropometric measurements of athletes’ bodies using the posture detection approach. Fencing and nonfencing athletes in KONI Bandung City were categorized using this talent identification. This study used 36 datasets of body posture images from various skills of the sport. These images were in JPEG or JPG format with a resolution of 3,024 × 4,032 and were acquired using a Canon EOS 1300D camera. This study utilized four points landmarks, which are usually used as measurement components in KONI, to categorize fencing athletes. The four points are shoulder (S), elbow (E), index (I), and hip (H) landmarks. The testing was done using three different dataset settings. According to the test results of all scenarios, scenario 2 had the highest accuracy. This scenario was able to categorize fencing and nonfencing athletes with an accuracy rate of 89% and an average processing time of less than 3 s per image.
Methods and means of developing the pedagogical skill of teachers of general education disciplines in vocational education institutions

Authors:
raw_author_name: Мaryna Kаbysh
raw_affiliation_string: Oleksandr Dovzhenko Hlukhiv National Pedagogical University, Ukraine

Abstract: The problem of developing the professionalism of teachers today belongs to the key directions of research in the field of modern pedagogical science. The high quality of teaching in the vocational education system depends on the level of knowledge, pedagogical skill of the teacher, and his/her professional maturity. On the basis of the conducted analysis, it is substantiated that the effectiveness of the development of the pedagogical skill of teachers of general education disciplines of vocational education institutions depends both on the correct definition of goals and content, and on the methods of achieving the goal - teaching methods.&#x0D; The purpose of the article is the theoretical justification of the main methods and means of developing the pedagogical skill of teachers of general education disciplines of vocational education institutions.&#x0D; The work characterizes the main functions of teaching methods, analyzes their main classifications, examines familiar, traditional methods (lecture method, story, explanation, training exercises, explanatory conversation, discussion, independent work, instruction, etc.), as well as innovative: simulation and game methods, brainstorming method, problem methods, project method, case method, master class, work in pairs, work in groups, consultations, portfolio, method of situational analysis, coaching, tutoring, etc.&#x0D; The study revealed that improving the professional skill of teachers of general education disciplines in vocational education institutions is a complex process. The professional skill of a teacher is an individual style, combined with high professional competence, which determines the ability to apply traditional and innovative technologies, to carry out professional activities regardless of the conditions of the social environment and the characteristics of students. That is why explanatory-illustrative, reproductive, and problem-based teaching methods (traditional and innovative) should gradually and purposefully implement cognitive activity, develop and improve professional skills within the framework of formal, non-formal, and informal continuous pedagogical education of teachers of general education disciplines of vocational education institutions
Validasi Dokumen Pengajuan Kredit Nasabah Menggunakan Metode Simple Additiveweighting dan Rapid Application Development

Authors:
raw_author_name: Yunus Fadhillah
raw_affiliation_string: Teknik Informatika, Institut Bisnis Muhammadiyah Bekasi
raw_author_name: Ade Kurniawan
raw_affiliation_string: Teknik Informatika, Institut Bisnis Muhammadiyah Bekasi

Abstract: Applying for credit to purchase goods is now very easy, just attach it personal and supporting data documents, your credit application can be approved in a matter of hours. These submission documents must have valid criteria and information prospective customer data, and fast and accurate validation methods are carried out in doing so document verification and validation. The Simple Additive Weighting method is used for validating documents and verification is carried out by checking the source of the document issued. This method, out of 100 credit applications that are approved, has a level success reached 97% and only 3% of customers experienced credit problems.
Penerapan Artificial Intelligence dalam Mendeteksi Batu Ginjal secara Otomatis pada Citra CT Scan

Authors:
raw_author_name: Nanang Sulaksono
raw_author_name: Ary Kurniawati

Abstract: Background: Kidney stones are a clinical condition with the presence of stones along the urinary tract of varying sizes. The aim of this research is the need for a system to automatically detect kidney stones so that it can help radiologists in diagnosing kidney stones accurately, effectively and efficiently, and patients can immediately undergo further action to cure kidney stones.Methods: The difference in research carried out by researchers is the use of artificial intelligence which uses deep learning with a convolutional neural network (CNN) algorithm. This research uses images obtained from CT scan results from public data (Kaggle) and primary hospital data. The number of images used in the Augmentation training data was 2338 normal images and 2390 kidney stone images. The augmentation testing data used 540 normal images and 446 kidney stone images. The research also involved experts, namely radiology specialists, in determining images with abnormal and normal stone tones.Results: research obtained from CT Scan images of kidney stones with augmentation and original using public data/Kaggle images, obtained using augmentation obtained a high accuracy value of 99.69%. Meanwhile, in testing data using primary/hospital data images, augmented data obtained accuracy values that were still low at 45.43% and 45.23%, respectively.Conclusions: The use of deep learning with the CNN model in training data augmentation obtained high accuracy values, however in testing data using hospital CT scan images the accuracy value was still low, but it was able to recognize images of kidney stones, so it could help in automatically diagnosing kidney stones. For future work could involve refining the model to handle variations in hospital data or exploring additional features to improve generalizability.
Website-Based Employee Administration System at Tebing Tinggi City Regional Personnel Agency

Authors:
raw_author_name: None Sri Wahyuni

Abstract: Employee administration is a system that contains related information consisting of elements that are guided towards the target in order to achieve ideal results. For that, the system gets input containing information about employee needs. Often this staffing administration is done manually as written in a book. The problem makes the author interested in creating an employee administration site that is useful for making it easier to provide information related to employees. This administration system runs on localhost using the PHP programming language and MySQL as a database. With this administration system application, it can facilitate and speed up employees in getting information wherever and whenever just by accessing the employee administration system site.
The Internet of Things (IoT) in World Practice: Review and Analysis

Authors:
raw_author_name: Yurii Khlaponin

Abstract: This article explores the contemporary realm of the Internet of Things (IoT) and its influence on society and the economy. The primary emphasis lies in examining the principal patterns within the realm of IoT, encompassing the escalation of connected device quantities and the utilisation of 5G networks. The article encompasses various facets, including an overview of the evolution and possibilities of IoT, encompassing the advancement of intelligent urban areas and the influence of 5G networks. The analysis of threats and vulnerabilities related to this technology focuses on detecting common flaws, including weak passwords, unsecured network services, and inadequate privacy measures.&#x0D; Furthermore, the essay presents concrete hazards in diverse sectors that employ IoT technology. Particular emphasis is given to potential cybersecurity vulnerabilities in healthcare, manufacturing, agriculture, retail, transport and logistics, energy, and smart cities. These businesses have distinct challenges and hazards due to incorporating IoT technologies.&#x0D; The authors also analyse the substantial financial commitment to IoT and its profound influence on the worldwide economy, including data on the expansion of the IoT market and investments in IoT technologies and smart cities. The findings emphasise that the Internet of Things (IoT) substantially influences society and the economy. However, it necessitates meticulous consideration of cybersecurity and privacy concerns. The authors underscore the significance of creating efficacious cyber security policies to safeguard against the possible hazards presented by IoT technology.&#x0D; &#x0D; &#x0D;
Survey of MCDM-Based Software Engineering Method

Authors:
raw_author_name: None Thaaer kh.Asman
raw_author_name: None Hadeel M Saleh
raw_author_name: None Isa AVCI

Abstract: Multi-criteria decision making (MCDM) is an operation research subfield (OR). Decision-making is primarily a process involving various actors, including individuals, groups of individuals, institutions, and the state. As a discipline, multi-criteria decision-making is relatively new Many researchers have devoted their time to developing new MCDM models and techniques since the 1950s and 1960s, when the foundations of modern multi-criteria decision-making methods were laid. Research and development in the area have intensified recently and appear to be developing tremendously. Few attempts have been made to systematically convey the theoretical foundations and advancements of multi-criteria decision-making systems, despite the widespread and intense development. The framework for evaluating judgments and the methodological options are still up for debate. In this paper reviews of MCDM/MADM technologies will be included describing their scenarios. Making a decision that is more appropriate than others to solve a particular problem is the goal of decision-making (DM), so this study presents a review of the advantages and disadvantages of different decision-making techniques, specifically in the field of software engineering.
Understanding the Impact of Chatbot Technology in Learning: Analysis of Utilization at SMA Negeri 5 Binjai

Authors:
raw_author_name: None Arpan

Abstract: This research aims to comprehend the impact of chatbot technology on learning, with a specific focus on analyzing its utilization at SMA Negeri 5 Binjai. Employing both qualitative and quantitative approaches, this study explores the implementation of chatbots in an educational context, including their applications in language learning, mental health support, and the teaching process. A comprehensive literature review was conducted to identify potential benefits and challenges associated with chatbot implementation in schools. The analysis results highlight the evolution of chatbot roles, ranging from basic functionalities to sophisticated capabilities in supporting the learning process. The research also encompasses a chatbot development model presented by Author and the findings from action research, providing practical insights into the use of chatbots in online learning media. Through surveys, interviews, and observations, research participants were engaged to provide a comprehensive perspective on the impact and acceptance of chatbot technology in the educational environment of SMA Negeri 5 Binjai. The outcomes of this research are anticipated to offer in-depth insights into how chatbots influence the learning process and lay the foundation for developing more effective strategies for chatbot utilization in educational institutions. The conclusions and recommendations from this study may assist policymakers, educators, and researchers in understanding the role of chatbots in enhancing the learning experience at SMA Negeri 5 Binjai and similar educational contexts.
Symmetric Cryptography Modification Using Diffie Hellman On RDBMS

Authors:
raw_author_name: None Niko Surya Atmaja

Abstract: One of the most widely used and freely available RDBMS is MySQL. MySQL users generally do not care about the confidentiality of the contents stored in MySQL. The application of data confidentiality in MySQL generally only uses a username and password to protect MySQL but not its contents. Therefore, it is necessary to apply the confidentiality of the data content in MySQL so that thieves cannot obtain information from the data contained in MySQL by converting the contents of the text stored in MySQL into secret text. This research uses one of the symmetric cryptography, namely vigenere cipher to keep the text stored in MySQL secret. The disadvantage of symmetric cryptography compared to asymmetric is the same encryption and decryption keys. Therefore, this research modifies the key in symmetric cryptography using Diffie Hellman so that the key used becomes asymmetric. So that with symmetric cryptography using Diffie Hellman on the contents of the data stored in MySQL, MySQl gets better confidentiality of its data content
A Study on the Dong-A Ilbo’s “Romance in History” Series to Expand Minority Readership

Authors:
raw_author_name: f f

Abstract: This paper is a study that reveals the literary historical significance of the planned serialization “Romance in History” of the Dong-A Ilbo and the subsequent serialization “Children’s Chosun.” In this regard, based on a series of surveys on newspaper serials, including “Romance in History,” Kang Mi-Jung tried to reveal the function of private painting during this period and link it with the development of historical literature theory. Taking the achievements and limitations of the preceding studies as a starting point for discussion, this paper attempted to reconsider the literary and historical status of the series “Romance in History.” In order to derive the practical basis, this paper analyzed the text from the background of the appearance of “Romance in History,” the actual status of the series, and the level of formal aesthetics. As a result, it was verified that “Romance in History,” which was greatly welcomed by the public, was a genealogical precedent that suggested a motif for the creation of historical novels in the newspaper series entering the prosperity of the 1930s. It was also confirmed that it was the background and test that inspired the creation of historical novels.
Meningkatan Kemampuan Komunikasi Siswa Vokasi Menggunakan Flipbook dengan Augmented Reality

Authors:
raw_author_name: Sri Rahayu

Abstract: The era of society 5.0 today plays an important role in everyday life, especially in education, which requires learning innovation. This research aims to develop learning innovations for an effective society in the 5.0 era. The method used to test the validity of flipbook learning media with AR is ADDIE (Analysis, Design, Development, Implementation, and Evaluation). The results of the study showed that the educational media is valid, with a score of 80,5% for the material experts and 80,8% for the media experts.