Reviewerly/exHarmony huggingface dataset:
Pengaruh Model Pembelajaran Scramble terhadap Minat dan Hasil Belajar Matematika di SD Negeri Nanggulan Maguwoharjo

This study aims to determine the influence of the scramble learning model on the interest and learning outcomes of fourth grade mathematics at SDN Nanggulan. This type of research is a Quasi Experiment with a quantitative approach. Data collection techniques using questionnaires, tests, interviews and documentation. Hypothesis testing using Multivariate Of Analysis Variance (MANOVA).To test the data analysis is done by using the SPSS application. The results showed that 1) There is an influence of the scramble learning model on the interest in learning mathematics of fourth grade students with the results of the univariate test analysis, namely the sig value. 0.037 &lt; 0.05 and it can be said that Ha is accepted. 2) There is an influence of the scramble learning model on the fourth grade students' mathematics learning outcomes with the results of the univariate test analysis, namely the value of sig. 0.038 &lt; 0.05 and it can be said that Ha is accepted. 3) There is an effect of the Scramble learning model on the interest and learning outcomes of fourth grade students in mathematics. This is based on the results of the multivariate test analysis, namely the results of the Pillai's Trace, Wilks' Lambda, Hotelling's Trace and Roy's Largest Root tests have a sig value. of 0.040 &lt; 0.05 and it can be said that Ha is accepted.
Cross Word Puzzle Method: Upaya Meningkatkan Minat dan Hasil Belajar IPS di SMP Negeri 1 Krangkeng Indramayu

This study aims to analyze the use of cross-word puzzle learning media in increasing student interest and learning outcomes in social studies subjects. This research is an action research conducted in three cycles including planning, implementation, observation, and reflection activities. The subject of the study was a class VIII student at SMP Negeri 1 Krangkeng. The results showed that the average percentage of student interest indicators in the first cycle of 62% increased to 70% in cycle II, it has further increased to 88%. Meanwhile, in the learning outcomes indicator, the average percentage of students who achieve KKM scores in the first cycle of 20% increases to 60% in cycle II. Cross word puzzle learning media can be applied to students in education at the junior secondary level and can improve student learning outcomes and can increase student interest in learning.
Identifikasi Boraks pada Makanan dengan Ekstraks Oxalis Triangularis untuk Meningkatkan Aktivitas Belajar Peserta Didik di MTs Negeri 4 Kulon Progo

This paper is prepared as a means of publishing creative, innovative, and efficient work that can help teachers and students in learning, especially science subjects, especially in borax testing on food by utilizing ingredients that are easy to make and easy to get in the environment around the school. This paper presents how to create and use borax indicators from butterfly plant extract (Oxalis triangularis) performed based on knowledge, existing literature, and experiments. This research uses qualitative research methods with a literature review approach. The subject of the study was students of class VIII-C MTs Negeri 4 Kulon Progo in the Odd Semester of the 2022/2023 Academic Year. Based on the data obtained, it can be concluded that butterfly plant extract (Oxalis triangularis) can be used for the identification of borax in food. The use of butterfly plants (Oxalis triangularis) for the identification of borax in food can increase student learning activities and can shape the character of students to be sensitive to the environment and utilize the environment as a learning medium, especially in science subjects in food test materials.
Smart-recycling technology for construction waste in furniture design training

The paper reviews the results of the creative team of teachers and students to explore the possibilities of recycling some construction waste. The analysis of publications in the sphere of ecological design testifies to the constant search of ways of recycling of different types of waste. The authors have focused their attention on the potential of using construction waste, the amount of which increases every year. The purpose of the study is to teach students to design furniture objects using recycled plastic pipes through educational Smart-technologies. The use of new Smart-technologies guarantees the achievement of the desired result. Their implementation was carried out in a distributed learning environment in stages. Preparatory stage: study of environmental problems and ways to overcome them, characteristics of construction waste, production and disposal of plastic pipes and existing ways of their recycling. Experimental stage: the study of plastic as a material for the manufacture of pipes, the technology of their manufacture, methods of connection; the development of an artistic and imaginative concept of furniture sets using plastic pipes. The final stage: the study of the possibilities of the project; the production of a prototype of the product in full size. The results of the study can be viewed from two positions: pedagogical and technological. From a pedagogical point of view, it is the promotion of students consciousness in the field of environmental design. From the technological point of view the formulation of methodological recommendations for the design of high-quality products from secondary raw materials.
Application features of educational quests in the format of blended learning in higher educational establishments

In the process of work with students (post-graduate students, interns, teachers), the application of interactive forms of work has proven its effectiveness and relevance. At the same time, we should expand the methodological diversity of the interactive, involve such forms of work that best as possible meet the needs of the blended learning format.&#x0D; Quest as an interactive technology has many advantages – from a collective goal setting, definition of a strategy of movement to coordinated performance of intermediate tasks, search for substantiations and presentation of a collective decision. The main thing is that there are no obstacles to the realization of the educational quest, such as online or offline, because the help comes from the interactive board Miro.&#x0D; The purpose of the work is to substantiate the peculiarities of the application of the educational quest as a game technology in blended and distance education with the goal of deepening the motivation of students of higher education institutions of Ukraine, in particular medical ones; to intensify scientific research activities, to improve interaction in groups and teams, to promote the development of clinical thinking and communicative competence.&#x0D; Research methods. Theoretical (processing of the source base) and empirical (development and implementation of didactic quests in educational activities) research methods were used in the work. Due to the combination of these components, the expediency of application of quest-technologies in a blended form of education in higher education institutions is substantiated.&#x0D; Conclusions. Thanks to the involvement of quests, those who study will not only save motivation, but they will also structure, renew, update the acquired knowledge for further professional growth.&#x0D; Quests do not require students to be physically present in the classroom, and under the condition of a proper organization (script, route sheets for teams), the final result of their conducting in the format of blended education (through ZOOM, MIRO, another online platform for group work) is quite high.&#x0D; It is also interesting to note that quests in the form close to the competition, provide the opportunity to carry out summative and formative assessment, which is extremely important for monitoring the quality of knowledge.&#x0D; The application of educational quests in higher medical education with the involvement of interactive online boards opens up the opportunity to provide active interaction of subjects of training in conditions of a blended format.&#x0D; During the quest, the teacher performs the functions of a moderator, since organizational moments and the working atmosphere during group communication depend on him, as well as possible help in the form of vector direction (if the discussion has reached a dead end), and substantiation of the final results.
Development of intellectual and creative competence of future teachers

The intellectual and creative competence of a teacher directly determines his competitiveness in the professional sphere and his readiness to use his intellectual experience for the benefit of the future of his country. Thus, the specification of the essence of the component composition of intellectual competence and the description of its components seem to be extremely relevant in the light of the problem being solved. The paper analyzes the component composition of future teachers intellectual and creative competence. The necessity of the work done is explained by the fact that the competences mentioned includes all the main elements of the content of education: general educational skills, meta-knowledge, and over-subject activities. The studied intellectual and creative competence is the basis of the individual style of students cognitive activity, which underlies their future professional activity. The paper discusses various approaches to determining the structure of this competence, presented in the works of major researchers. The analysis made it possible to identify the following components of intellectual and creative competence: motivational value, cognitive, communicative, metacognitive, research, self-educational, and personal.
Peningkatan Prestasi Belajar Bahasa Inggris melalui Metode Mind Mapping di MAN 1 Yogyakarta

This study aims to analyze the application of assignments using the mind mapping method. Assignments are expected to help understanding and increase student activity. The subject of the study was a student of class XII MIPA 2 MAN 1 Yogyakarta. The method used in this study is a class action research method. The study took place in two cycles. Each cycle follows the procedures of planning, implementing, observing and reflecting. From the results of the study, in the first cycle students who obtained a score of &gt; 7.00 reached 54.54% with sufficient categories. Meanwhile, in cycle II, students who obtained a score of &gt; 7.00 reached 81.81% with an active category. The method of assigning assignments to make mind mapping a certain text can improve the ability to master English vocabulary in students optimally.
Robust Keypoint Detection and Matching on Fisheye Images by Self-Supervised Learning

Accurate image feature point detection and matching are essential to computer vision tasks such as panoramic image stitching and 3D reconstruction. However, ordinary feature point approaches cannot be directly applied to fisheye images due to their large distortion, which makes the ordinary camera model unable to adapt. To address such a problem, this paper proposes a self-supervised learning method for feature point detection and matching on fisheye images. This method utilizes a Siamese network to automatically learn the correspondence of feature points across transformed image pairs to avoid high annotation costs. Due to the scarcity of the fisheye image dataset, a two-stage viewpoint transform pipeline is also adopted for image augmentation to increase the data variety. Furthermore, this method adopts both deformable convolution and contrastive learning loss to improve the feature extraction and description of distorted image regions. Compared with traditional feature point detectors and matchers, this method has been demonstrated with superior performance on fisheye images.
Retracted: Antitumor Proliferation and Related Mechanism of Ultrasound Irradiation Combined with Safflower Yellow

[This retracts the article DOI: 10.1155/2022/5168886.].
Trends &amp; Technology

Trends & Technology| January 2023 Trends & Technology ASA Monitor January 2023, Vol. 87, 23–24. https://doi.org/10.1097/01.ASM.0000911764.23397.90 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Cite Icon Cite Get Permissions Search Site Citation Trends & Technology. ASA Monitor 2023; 87:23–24 doi: https://doi.org/10.1097/01.ASM.0000911764.23397.90 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll PublicationsASA Monitor Search Advanced Search Topics: trend, child, medical devices, breast, brain, heart failure, united states food and drug administration In a National Institutes of Health (NIH)-funded study of over 33,000 women, researchers found that women who used chemical hair straightening products were at higher risk for uterine cancer than women who did not use these products. The participants were between the ages of 35-74 and were followed for almost 11 years; during that time, 378 uterine cancer cases were diagnosed. Those who used hair straightening products more than four times in a year were more than twice as likely to go on to develop uterine cancer compared to those who did not use the products. 1.64% of women who never used hair straighteners would go on to develop uterine cancer by the age of 70; but that risk goes up to 4.05% for frequent users. Uterine cancer accounts for about 3% of all new cancer cases but is the most common cancer of the female reproductive system, with 65,950... You do not currently have access to this content.
Decision Support System of Salt Points Grouping Using K-Means Method

Abstract Madura Island is known as Salt Island. Madura has always been one of the major contributors to the national salt production. However, the resulting salt production has not been able to meet the needs of national salt and salt for public consumption. There are 4 salt producing districts in Madura, namely Sampang, Bangkalan, Sumenep and Pamekasan. There are several factors that affect the low productivity of salt, including weather and climate, undeveloped technology, inadequate means and infrastructure for smallholder salt production, and marketing of people’s salt is still on a local scale. The purpose of this study is to create and design a decision support system application for grouping salt ponds to increase the productivity and economy of the Madurese community, especially salt farmers in Sampang and Bangkalan districts. The method used for grouping salt ponds is the K-Means Clustering method. This method can divide or partition salt pond data into several clusters according to the characteristics of each data. The grouping of salt ponds is based on several criteria data, namely land area, land status, labor, capital, production, profit, education, and experience of salt farmers. The results of this study resulted in 3 clusters for salt ponds with high productivity (C1) of 46%, medium productivity (C2) of 31% and low productivity (C3) of 23%.
Peer review declaration

All conference organizers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Single-blind Single-anonymous: authors' identities are known to the reviewers, reviewers' identities are hidden from authors • Describe criteria used by Reviewers when accepting/declining papers. Was there the opportunity to resubmit articles after revisions? There are five main criteria: relevance to the conference topic, importance of the research/state-of-the-art, proper methodology, arguments and conclusions, and academic writing quality. All the criteria are included in the substantial review form (attached) provided for the reviewers. Organizers also prepared a technical review form (attached) to assess the compliance with IOP template and guidelines and to inform the result of plagiarism check. There was the opportunity to resubmit articles after revisions, up to a maximum of two (2) times based on substantial reviews. • Conference submission management system: using Morressier Submission System, the complete submission guidelines are available in following link https://symposiumjessd.ui.ac.id/guideline/ • Number of submissions received: 193 • Number of submissions sent for review: 162 • Number of submissions accepted: 88 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received × 100): 45,6% • Average number of reviews per paper: 1-2 • Review process was done in a maximum of 14 days. • Contact person for queries: Herdis Herdiansyah, School of Environmental Science, Universitas Indonesia, Jakarta, Indonesia, e-mail: herdis@ui.ac.id
Clinicians’ Perception of Virtual Reality Therapy in Treating Patients with Obsessive Compulsive Disorder: A Preliminary Study

In the Western context, virtual reality (VR)-based treatments had been suggested as an intervention for anxiety disorder. Despite its potential efficacy, there is a lack of study which using VR as an intervention, especially for obsessive-compulsive disorder (OCD) in Asian countries. Therefore, the present study aimed to examine what elements are required to design VR and the suitability of VR as an intervention in OCD for the local context. To address this, six clinicians, consisting of three clinical psychologists and three psychiatrists, were interviewed. They were interviewed using a semi-structured interview protocol related to their perception on VR as an intervention for OCD patients, as well as the cognitive behaviour therapy (CBT) elements that can be incorporated in VR. The findings showed that all clinicians anonymously supported CBT to be augmented into VR as part of intervention for OCD to overcome logistics issues, the interactive nature of the virtual environment and the sense of presence similar to a real-life situation. The side effects of VR also need to be studied before employing these new interventions. In conclusion, VR can be used as an intervention for OCD. CBT-VR intervention can be applied in the Asian context by using similar CBT modules which should be modified according to cultural context.
The methodology for financial systems assessment from the perspective of sustainable economic growth

This article presents the synthesis of research activities on the evaluation methodology of the financial system, including its components through the lens of the objective of ensuring sustainable economic growth. The objectives pursued in the evaluation process, the system of indicators and the necessary arguments are formulated. The authors evaluate the financial system in Israel and the Republic of Moldova, including whether its are market-oriented and sufficiently open, efficient and solid; if high standards of transparency, trust and integrity are met. Next, the relationship between the financial system and economic growth in a small open economy of Israel and the Republic of Moldova is empirically examined. The analysis is carried out using two indicators to measure the level of financial development. The first indicator is the financial depth or size of the financial intermediaries sector, measured by the monetization ratio (M2/GDP). The second indicator is the ratio of credit granted to the private sector by commercial banks as a percentage of GDP (financial intermediation ratio).
Developing entrepreneurial skills for engineers

Knowledge-based competencies, being implemented, turn into practical results. Knowledge and skills are formed by completing studies. A modern direction for the development of a specialist that would correspond to the current requirements of society, means to orient the training of skills towards the dynamic needs of the social-economic environment. In order to develop basic intellectual practical skills necessary for a modern engineer, to understand the role of innovation, interdisciplinary skills, cutting-edge entrepreneurial skills are needed. Only in this way the future engineer will gain a broad vision of the engineer's role in society. Thus, the general requirement for a graduate of an engineering field is to form professional skills that would combine engineering skills with entrepreneurial and managerial skills.
Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling

Deep learning has substantially improved the state-of-the-art in object detection and image classification. Deep learning usually requires large-scale labelled datasets to train the models; however, due to the restrictions in medical data sharing and accessibility and the expensive labelling cost, the application of deep learning in medical image classification has been dramatically hindered. In this study, we propose a novel method that leverages semi-supervised adversarial learning and pseudo-labelling to incorporate the unlabelled images in model learning. We validate the proposed method on two public databases, including ChestX-ray14 for lung disease classification and BreakHis for breast cancer histopathological image diagnosis. The results show that our method achieved highly effective performance with an accuracy of 93.15% while using only 30% of the labelled samples, which is comparable to the state-of-the-art accuracy for chest X-ray classification; it also outperformed the current methods in multi-class breast cancer histopathological image classification with a high accuracy of 96.87%.
Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation

Background: Accurate segmentation of microscopic structures such as bio-artificial capsules in microscopy imaging is a prerequisite to the computer-aided understanding of important biomechanical phenomenons. State-of-the-art segmentation performances are achieved by deep neural networks and related data-driven approaches. Training these networks from only a few annotated examples is challenging while producing manually annotated images that provide supervision is tedious. Method: Recently, self-supervision, i.e. designing a neural pipeline providing synthetic or indirect supervision, has proved to significantly increase generalization performances of models trained on few shots. The objective of this paper is to introduce one such neural pipeline in the context of micro-capsule image segmentation. Our method leverages the rather simple content of these images so that a trainee network can be mentored by a referee network which has been previously trained on synthetically generated pairs of corrupted/correct region masks. Results: Challenging experimental setups are investigated. They involve from only 3 to 10 annotated images along with moderately large amounts of unannotated images. In a bio-artificial capsule dataset, our approach consistently and drastically improves accuracy. We also show that the learnt referee network is transferable to another Glioblastoma cell dataset and that it can be efficiently coupled with data augmentation strategies. Conclusions: Experimental results show that very significant accuracy increments are obtained by the proposed pipeline, leading to the conclusion that the self-supervision mechanism introduced in this paper has the potential to replace human annotations.
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