Reviewerly/exHarmony huggingface dataset:
EP32.10: The use of Metaverse as a tool in teaching uterine malformations in a medical setting: a Brazilian experience

To demonstrate our experience with the use of the metaverse in teaching uterine malformations in the medical field. Professors and residents from radiology and gynecology in two universities were invited to participate on a “virtual training”, which took place in real-time and without geographical obstacles, adding features ranging from the possibility to view an imaging sequence of 2D slices to shared navigation inside a 3D organ. One example of this scenario was a remote session in which the instructor discussed cases with participants joining in metaverse from different locations. They viewed the ultrasound exam result and manipulated it interactively to navigate through slices of the 3D data. They also inspected a 3D virtual model with a segmentation of the uterus cavity. After the training they were invited to answer a questionnaire regarding the benefits and potential issues of this educational modality. Eight professors and 20 residents participated on the study. This concept of Metaverse brought many new features to the medical field of communication. For all the participants, regardless of if residents or professors, evaluated the tool as a nice and efficient tool for education purpose, as the interaction and the virtual experience helped the best understanding of anatomical and pathological aspects as in a virtual basis the participants can be “inside the exam”. Metaverse is a technology under construction and has enormous potential as a digital tool to aid students in improving their collaboration and understanding of uterine malformations. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Is There a Resource for That?

Chatbots have become integral parts of society, demonstrating how artificial intelligence can automate everyday tasks. This presentation describes the development of a pilot chatbot designed to provide school librarians with professional development. The first iteration of the chatbot was built using the ChatterBot Python library. It generates responses included in a question bank and utilizes Natural Language Processing, which allows it to learn through interaction. Questions are collected in chat logs and used to train updates. The second iteration of the chatbot was built using Python and OpenAI. It also incorporates responses from the original question bank.&#x0D; The preliminary chatbot responses originated from questions asked by school librarians who needed assistance with developing programming for English Learners (ELs). An IMLS funded (RE-250111-OLS-21) national forum was implemented to determine how to develop services for ELs. Suggestions from the forum participants were then coded and used to develop examples of queries for the chatbot. Many responses are linked to credible internet resources.&#x0D; Later, additional questions were collected from pre-service school librarians. Students also volunteered to locate online resources and references to answer questions. These questions and resources were reviewed before using them for the chatbot. Based on current feedback, it has been determined that the chatbot is a cost-effective way to provide educators with on-demand professional development. Because the questions and resources in the chatbot are not all-inclusive, it serves as a way for the researchers to collect additional questions and identify new ways to serve the needs of school librarians.
Menumbuhkan Budaya Literasi Membaca Dengan Menciptakan Lingkungan Literasi Di Sekolah Dasar Islam Plus YLPI Pekanbaru

The National Literacy Movement (GLN) carried out by the ministry of education and culture in 2016 aims to foster a culture of literacy in the school, home, and community by building reading corners at schools, reading gardens, regional libraries, and the Atmazaki smart house. The community service activities aim to offer and present interesting activities to foster a culture of reading literacy in students by building reading corners, reading programs 15 minutes before formal learning, and educating the importance of literacy. This type of service is descriptive using a qualitative approach. The sample consisted of 51 students of YLPI Plus Islamic Elementary School consisting of 21 female students and 30 male students. Collecting data using interviews, observation, and documentation. The results of the dedication are implementing literacy through the storytelling method, reading for 15 minutes before formal learning, and always taking the time to read in the reading corner. The dedication concludes that students are the criteria for those who like to read and all these activities have been well followed by students.
From Fractured to Fractal

This article is discussing the way twentieth-century musical creation managed to deal with the erosion of the homogenous temporality connected to tonal music, and doing so, how it suggested at different levels, new ways to consider music writing. Using a pluridisciplinary approach necessary to explain how the concept of montage introduced in plastic arts has been able to take root into the musical field at the turn of the century, we will look at various examples focusing on continuity versus discontinuity as a key element of this shift, after reviewing the ins and outs of what could be seen as a “temporality crisis” in music. We will highlight what we can view as a reversal of the classical paradigms in the musical field with regard to time and space. Then, we will show how these aesthetic approaches are in fact reconnecting with some new modes of continuity, improbable ones at times, as they appear to contradict the very nature of continuum.
Soil transmitted helminth egg detection and classification in fecal smear images using faster region-based convolutional neural network with residual network-50

Intestinal parasitic infections are one of the leading causes of morbidity in areas within tropical and subtropical countries. These infections can cause symptoms such as malnutrition and anemia- factors for growth failure. Soil-Transmitted Helminth, in particular, has been identified as the leading cause of sickness in developing countries. In clinical diagnosis, lengthy inspections could occur despite the guidance of experienced medical laboratory technologists. The researchers aim to circumvent this problem by using Convolutional Neural Networks as systems for the most prevalent species of STH eggs- Ascaris lumbricoides, Trichuris trichiura, and Hookworm eggs. The study evaluated and compared the performance and speed of three CNN architectures, mainly ResNet-50 and Faster R-CNN, with some preprocessing methods derived from Suzuki et al. (2017). The results from the study indicated that Faster R-CNN with ResNet-50 had the highest accuracy with 97.65% out of the three CNN architectures. In terms of efficiency, ResNet-50 was the most efficient with 0.0167 seconds average runtime.
Starting a newsletter

I had already longer the plan, to develop a place which is somewhat slower compared to my Twitter account. In addition, I wanted to have a space in which I come back to pieces I mark as interesting but forget in the flow of the days. This is also reason for the title.
Vibrational spectroscopy as a probe of heterogeneities within geochemical thin films on macro, micro, and nanoscales

Geochemical thin films of different minerals and mineral samples were analyzed using several vibrational probes including microspectroscopic photothermal IR probes to uncover heterogeneity in these samples on micro and nanoscales.
CTPP: A Fast and Stealth Algorithm for Searching Eviction Sets on Intel Processors

Eviction sets are essential components of the conflict-based cache side-channel attacks. However, it is not an easy task to construct eviction sets on modern Intel processors. As a promising defense against conflict-based cache side-channels, dynamic cache randomization makes the construction of eviction sets even more difficult by periodically randomizing the mapping between addresses and cache set indices. It forces attackers to develop fast search algorithms to find an eviction set at runtime with the lowest latency. Several fast search algorithms have been proposed in recent years. By using these algorithms, attackers regain the capability of launching useful attacks on dynamically randomized caches. Consequently, a detector was recently introduced to catch the fast search algorithms in action according to the uneven distribution of cache evictions. All existing fast search algorithms fail to work.
Klasifikasi Buah Jeruk Segar dan Busuk Berdasarkan RGB dan HSV Menggunakan Metode KNN

Fruits are a group of agricultural commodities in Indonesia. The demand for domestic fruit commodities is quite high, this is indicated by the large number of fruits available in modern markets and traditional markets. In this research, a classification process will be carried out between fresh oranges and rotten oranges based on RGB (Red, Green, Blue) and HSV (Hue, Saturation, Value) color extraction. This study uses the K-Nearest Neighbor classification algorithm with a value of k = 1; 2; 3; 4; 5; 6; and 7. The dataset used consists of 146 training data and 88 testing data. The purpose and benefits of this research are to save time and facilitate classification according to the wishes of fruit growers. The final result of the test accuracy is 88.95%. Based on the test, this system can be said to be quite good at classifying fresh and rotten citrus fruits.
Transfer Learning Approach Based on MobileNet Architecture for Human Smile Detection

The face is an important part of the human body. The face can express various things that are felt by humans. By looking at facial expressions, humans can determine whether the person is angry, happy, or sad. This is important as a basic part of communication. However, there are enough people who are not able to see or are less able to see so that they cannot recognize someone’s facial expressions, especially when they are talking to each other. For this reason, in this research, a study was conducted to detect the basic expression of the human face, namely a smile that indicates happiness. In this study, a Deep Learning approach was used to determine human facial expressions. This research also carried out several architectural scenarios such as ResNet and MobileNet. MobileNet is an architecture that has a high level of accuracy, which is around 92%, which indicates that MobileNet can be used to detect facial expressions, especially smiles.
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors

Machine learning with deep neural networks (DNNs) is widely used for human activity recognition (HAR) to automatically learn features, identify and analyze activities, and to produce a consequential outcome in numerous applications. However, learning robust features requires an enormous number of labeled data. Therefore, implementing a DNN either requires creating a large dataset or needs to use the pre-trained models on different datasets. Multitask learning (MTL) is a machine learning paradigm where a model is trained to perform multiple tasks simultaneously, with the idea that sharing information between tasks can lead to improved performance on each individual task. This paper presents a novel MTL approach that employs combined training for human activities with different temporal scales of atomic and composite activities. Atomic activities are basic, indivisible actions that are readily identifiable and classifiable. Composite activities are complex actions that comprise a sequence or combination of atomic activities. The proposed MTL approach can help in addressing challenges related to recognizing and predicting both atomic and composite activities. It can also help in providing a solution to the data scarcity problem by simultaneously learning multiple related tasks so that knowledge from each task can be reused by the others. The proposed approach offers advantages like improved data efficiency, reduced overfitting due to shared representations, and fast learning through the use of auxiliary information. The proposed approach exploits the similarities and differences between multiple tasks so that these tasks can share the parameter structure, which improves model performance. The paper also figures out which tasks should be learned together and which tasks should be learned separately. If the tasks are properly selected, the shared structure of each task can help it learn more from other tasks.
Analisis Pengetahuan Mahasiswa Tadris Biologi UINSU Terhadap Artikel Jurnal Ilmiah

The purpose of this study was to find out how far UINSU biology tadris students know scientific journal articles, and see how far UINSU biology tadris students understand scientific journal article writing. The research method used in this study was descriptive qualitative. The population in this study were UINSU biology students. And the samples in this study were UINSU biology students class 2019-2022, namely 40 students who were still actively studying. The data collection technique used is the survey method. The sampling technique used in this study was random sampling. The data analysis technique was then processed using a descriptive analysis method to find out the results of a questionnaire conducted on Tadris Biology UINSU students class of 2019-2022. The results of this study are based on informants namely students that many students have made scientific journal articles and that means that many students understand scientific journal articles, both in terms of searching for scientific journal articles, understanding scientific journal articles and even making articles. scientific journals. But behind that there are also students, especially in the class of 2022, who still produce few scientific journal articles, and sometimes it's even difficult to find and understand them.&#x0D; Keywords: Understanding Analysis, Scientific Journal Articles, Tadris Biology Study Progra
Meningkatkan Motivasi Baca Tulis Al-Qur’an Siswa melalui Media Audiovisual di MTs Al-Jihad Medan

&#x0D; ABSTRACT &#x0D; Anak-anak MTs Al-Jihad Medan kelas VIII-1 tidak mau belajar membaca dan menulis, sehingga mereka kesulitan untuk membaca Alquran. Alat bantu audio-visual digunakan dalam penelitian ini untuk mengevaluasi apakah siswa termotivasi untuk belajar Alquran. Researchers use a mix of qualitative and quantitative techniques in their examinations of action research in the classroom. The Kemmis &amp; Mc. model was employed in this study. Taggart, which consists of two cycles. Surveys, observations, interviews, and written data are used in this research. The results of this study show that the intervention put into place with the eighth grade and first year Muslim students at Al-Jihad Medan increased their motivation to learn the Koran using audiovisual media. Pre-cycle findings improved significantly in the second cycle, proving this to be the case. According to the data, 28 out of 43 students (or 65%) did not finish the course in the pre-cycle period, 18 out of 43 students (or 42%) did not finish the course in the first cycle, and 6 out of 43 students (or 14%) did not finish the course in the second cycle. When comparing the results from before the cycle to those after it, we find that, on average, students in MTs Al-Jihad Medan's eighth grade are 51% more motivated to read and write the Koran after being exposed to audiovisual materials.&#x0D; Keywords: Motivation, BTQ, Audio-Visual Media
Pengaruh Keaktifan Berorganisasi Terhadap Prestasi Akademik Mahasiswa Biologi Universitas Islam Negeri Sumatera Utara

Higheri educationi isi ani importanti stagei ini ai student'si life,i wherei theyi arei expectedi toi acquirei thei necessaryi knowledgei andi skillsi toi achievei academici success.i Thei purposei ofi writingi thisi journali isi toi determinei thei effecti ofi beingi activei ini organizations,i toi findi outi thei factorsi thati influencei thei activenessi ofi organizingi Biologyi studentsi at UIN-SU and to find out that there is a relationship between organizational activity and academic achievement of Biology students at UIN-SU. This study uses a quantitative descriptive research method. The sampling technique is Random Sampling. The sample in this study were 19 Tadris Biology students at UIN-SU. Data collection techniques are through tests and non-tests. The tests are in the form of description questions to measure symbolic abilities, as well as students' understanding of "The Influence of Organized Activeness on Academic Achievement of Biology Students at the State Islamic University of North Sumatra". Non-test techniques in the form of questionnaires and closed interviews, namely using the Google Form. The benefits obtained from being active in the organization apart from the influence on academic achievement are adding many useful relationships and increasing a sense of responsibility and good teamwork and adding new experiences that are not obtained in college lessons, and also affecting ourselves for example skill development public speaking, can develop self-potential, train sensitivity to the surrounding environment and increase a sense of concern for others as well as fostering productive, innovative, creative and critical abilities.&#x0D; Keywords: Organized Activeness, Student Academic Achievement&#x0D;
Strategi Promosi Dinas Perpustakaan dan Kearsipan Kabupaten Padang Lawas

This research was conducted at the Department Libraries And Archives Padanglawas Regency which aims to determine the promotion strategy Service Libraries And Archives Padang Lawas Regency in increasing interest visit, as well as what obstacles just Which felt in do activity promotion. The method used in this research is a qualitative method using a descriptive approach with make description of the data that has been collected as exist. As for data collection techniques carried out in this study were interviews, observation and documentation. Determination of informants is done by the method purposive sampling. The informant of this research is the Head of Service Libraries And Archives Padanglawas Regency along head of department library and librarian. The results of this study indicate that the library promotion strategy in increase interest visits made library that is with stage Socialization in the library, library tours, exhibitions, spread brochures, newspapers or newspapers, promotions with social media. While the constraints felt that the funds minimal, lack of cooperation and lack of public awareness about the importance of libraries. Keywords: Promotion, Strategy Promotion, Promotion Library
Hubungan Motivasi Belajar dengan Hasil Belajar Siswa di SMK Negeri 7 Kota Bandung

Learning outcomes have an important role in the learning process. Learning outcomes are used to determine the extent to which students can understand and understand the material provided. There are so many aspects that affect learning outcomes, including motivation. The purpose of this study is to determine the relationship between learning motivation and student learning outcomes. This study used a quantitative approach with a correlative descriptive method. This study was conducted with questionnaires and test results on 30 respondents (students) SMKN 7 Bandung City. As for the processing and analysis of data with statistical analysis techniques SPSS V. 25. The results of the study, showed, that: There is a positive and significant and linear relationship with the value of Sig. (2-tailed) between the Learning motivation variable and the learning outcome variable of 0.000 &lt; 0.05 then H0 is rejected and Ha is accepted which means there is a significant correlation relationship between the two variables.
On the place of the mythology of technology in contemporary digital studies

Introduction. The article is devoted to philosophical reflection on the role of technique and technology in the existence of a modern man. The authors hypothesize that the technosphere is subject to mythologization to the same extent as other essentially significant human spheres. In this regard, the need to study the process of mythologization of technology is actualized. Theoretical analysis. The analysis of the historical and philosophical basis of the problem has demonstrated that there are two approaches to the connotation of technological innovations – alarmist and progressivist. They determine the further vector of mythologization. Alarmist researchers mythologize technology through negative connotations, while the progressist approach is characterised by a positive attitude towards the technologicalisation of all spheres of human existence. Empirical analysis. A further investigation of the sources of formation of the metaphysical superstructure of technology showed that the reflection of technology involves a sensual-imaginative, irrational perception which is characteristic of mythologization. It is reflected in the artistic creations of a contemporary man that explicate mythological meanings related to the perception of technology. Conclusion. The authors conclude that there is a need to study mythology of technology as an independent field of knowledge in the context of contemporary digital studies. The author's definition of the technological mythology which allows to outline the boundaries of this phenomenon more precisely and comprehensively, is proposed.
Enhancing Manufacturing Competitiveness in UAE SMEs: The Influence of Process Quality Improvement and Lean Practices

This research investigates the relationship between process quality improvement, lean practices, and manufacturing competitive performance in Small and Medium-sized Enterprises (SMEs) within the United Arab Emirates (UAE). The UAE has emerged as a dynamic hub for SME manufacturing, making it crucial to examine factors that contribute to their competitive advantage. The research employs a mixed-methods approach, combining qualitative data from in-depth interviews with key industry experts and quantitative data obtained through structured surveys distributed among a diverse sample of SME manufacturing firms across different sectors. The study focuses on evaluating the adoption and implementation of process quality improvement initiatives and lean practices within these organizations. The findings highlight a strong positive correlation between effective process quality improvement and lean practices and improved manufacturing competitive performance among UAE SMEs. Firms that successfully integrated lean methodologies into their processes demonstrated higher levels of operational efficiency, reduced waste, increased productivity, and improved product quality. Additionally, the research identifies critical success factors and challenges in the implementation of process quality improvement and lean practices in the context of UAE SMEs. Factors such as top management commitment, employee involvement, and access to training and resources are instrumental in fostering a culture of continuous improvement.