Reviewerly/exHarmony huggingface dataset:
Multi-scale view-based convolutional neural network for breast cancer classification in ultrasound images

Breast cancer is the second leading cause of cancer-related death in women. Ultrasound imaging has been widely used for the early detection of breast cancer because of its superior ability in imaging dense breast tissue and its lack of ionizing radiation. However, ultrasound imaging heavily depends on practitioners’ experience and thus becomes relatively subjective. In this work, we proposed a novel multi-scale view-based convolutional neural network (MSVCNN) to assist doctors to diagnose and improve classification accuracy. MSV-CNN takes full images, regions of interest (ROI), and the tumor regions with two times size of the ROI as input. It adopts three complementary branches to learn multi-scale view features from different views. The sub-networks in all branches have the same structure but with different parameters. The output of three branches is finally concatenated and fused by a fully connected layer for automated nodule classification. To assess the performance of our proposed network, we implemented breast ultrasound classification on the dataset containing 1560 images with benign nodules and 5367 images with malignant nodules. Furthermore, ResNet-18 models trained with different views were utilized as baselines. Experimental results showed that MSV-CNN achieved an average classification accuracy of 0.907. This preliminary study demonstrated that our proposed method is effective in the discrimination of breast nodules.
From “Hmmm…” to “Aha!”: Emotional Monitoring of Representational Change

There are two common approaches to researching insight: the study of the emotional response to a solution (Aha! experience) and the study of the restructuring of representations. The relationship between them can be found by comparing functions they perform relative to each other. For the experimental investigation of insight, problems that are typically being used can be solved within a little amount of time and are highly similar in their structure. We believe that such laboratory designs of the tasks often lead to researchers missing out on the moments of impasse and initial restructuring of the search space. In the current study, using the method of multimodal corpora constructed from individual solutions, we gained partial confirmation of the key statements of the model of emotional regulation of the representational change. According to the model, an insight solution process is accompanied by emotions regulating the process of representational change. A feeling of impasse is a response to the lack of progress towards the solution. An Aha! experience appears in response to solvers performing actions that bring them a huge step closer to the solution of a problem. We believe that these emotional responses are experienced before the solution reaches consciousness and they motivate the solver to adapt their search space accordingly. The model we propose is a development of the ideas of Ya.A. Ponomarev on the role of emotions in regulating of insight problem solving andmodel of M. Ollinger and colleagues describing the phases of insight problem solving.
KEEFEKTIFAN KALIMAT DALAM TEKS EKSPLANASI SISWA KELAS VIII SMP PEMBANGUNAN LABORATORIUM UNP

ABSTRACT The purpose of this study is to describe the sentences in the explanatory text of students in terms of four things. First, the effectiveness of sentences in terms of structural clarity, there are 78 (19.60%) errors. The ineffectiveness of the sentence is in the active / passive structure (1 error), the subject is not an explanation (21 errors), the predicate is not lost (28 errors), the description is not in the form of a subject (4 errors), and the subject is not lost (25 errors). Second, the effectiveness of sentences in terms of logical meaning there are 76 (19.09%) errors. The ineffectiveness of the sentence lies in the logical relationship S and P (52 errors) and the logical relationship of details or parallel meaning (23 errors). Third, the effectiveness of sentences in terms of word saving is 142 (35.68%) errors. The ineffectiveness of the sentence is on one subject from the same subject (46 errors), one word from several synonymous words (21 errors), and the required word (115 errors). Fourth, the effectiveness of sentences in terms of word rigidity there are 102 (25.63%) errors. Based on these results it can be concluded that the sentences in the explanatory text of eighth grade students of SMP Pembangunan Laboratorium Laboratory are not effective. This is evidenced from the 221 sentences studied, there were 31 (14.03%) effective sentences and 190 (85.97%) ineffective sentences with 398 errors. Kata kunci: Keefektifan Kalimat, Teks Eksplanasi
A Cascaded Ensemble of Sparse-and-Dense Dictionaries for Vehicle Detection

Vehicle detection as a special case of object detection has practical meaning but faces challenges, such as the difficulty of detecting vehicles of various orientations, the serious influence from occlusion, the clutter of background, etc. In addition, existing effective approaches, like deep-learning-based ones, demand a large amount of training time and data, which causes trouble for their application. In this work, we propose a dictionary-learning-based vehicle detection approach which explicitly addresses these problems. Specifically, an ensemble of sparse-and-dense dictionaries (ESDD) are learned through supervised low-rank decomposition; each pair of sparse-and-dense dictionaries (SDD) in the ensemble is trained to represent either a subcategory of vehicle (corresponding to certain orientation range or occlusion level) or a subcategory of background (corresponding to a cluster of background patterns) and only gives good reconstructions to samples of the corresponding subcategory, making the ESDD capable of classifying vehicles from background even though they exhibit various appearances. We further organize ESDD into a two-level cascade (CESDD) to perform coarse-to-fine two-stage classification for better performance and computation reduction. The CESDD is then coupled with a downstream AdaBoost process to generate robust classifications. The proposed CESDD model is used as a window classifier in a sliding-window scan process over image pyramids to produce multi-scale detections, and an adapted mean-shift-like non-maximum suppression process is adopted to remove duplicate detections. Our CESDD vehicle detection approach is evaluated on KITTI dataset and compared with other strong counterparts; the experimental results exhibit the effectiveness of CESDD-based classification and detection, and the training of CESDD only demands small amount of time and data.
Developing Learning-based Instagram Media on Derivative

&lt;p class="JRPMAbstractBodyEnglish"&gt;This study aims to develop learning media using Instagram and determine its feasibility. This research method used Research and Development (R&amp;amp;D) with the ADDIE development model through 5 stages, namely Analysis, Design, Development, Implementation, and Evaluation. The research was conducted at SMA N 1 Ngemplak. The data collection technique used a validation questionnaire conducted by two teachers and one lecturer and students response questionnaire. The data analysis techniques were descriptive qualitative and quantitative. The result of this research was a derivative learning media in the form of videos presented through Instagram. The feasibility test results showed that the learning media had met three eligibility criteria for learning media. The assessment of media and material experts showed that learning-based Instagram media was in the good category. Based on students' assessment, learning media's feasibility based on Instagram social media was good to use. The correlation between the students response questionnaire and the learning outcome test also showed a unidirectional and significant correlation. It indicated that there was a correspondence between the questionnaire scores and the learning outcome test scores. Based on these results, learning media through Instagram social media is suitable for the learning process.&lt;/p&gt;
Analisis Dinamika Stroller (Kereta Bayi) dengan Metode Port-Controlled Hamiltonian System (PCHS) berbasis Komputasi Fisika

Computational physics can be used to help solve complex dynamics equations, both translational and rotational. The purpose of this study is to obtain differences in the dynamics of mechanical systems with non-holonomic constraints in various flat and curved configuration spaces based on physics computing. In this study the reduction used is a mathematical calculation of the Port-Contolled Hamiltonian System (PCHS) equation in a mechanical system that is a Stroller, so that the equation used in determining the Stroller motion equation with and without friction that moves in the curved plane in the form of a spherical surface with various initial conditions based on maple is Poincaré's equation which is based on Routhian reduction with and without friction. The effect of friction can be clearly seen through dynamics and graphical equations on the Stroller. This method can reduce the Stroller motion equation with and without friction that moves on the ball sphere clearly in the form of a set of differential equations. The findings of this study are dynamic equations and graphs of Stroller equations with and without friction that move in the curved plane in the form of a spherical ball with varying initial conditions based on maples. This study proves physical concepts about dynamics and kinematics and analyzes Stroller dynamics using computational physics to determine the characteristics of complex and complex Stroller movements, both translational and rotational.
How Do Kastamonu University Education Faculty Fine Arts Education Department Music Education Department Students Use Their Smartphones?

This work; Kastamonu University, Department of Fine Arts Education Faculty of Education was made to students in the Music Department in Turkey. The study is a descriptive field study and it was conducted with a questionnaire model. The study group of this study consists of all students of Kastamonu University Education Faculty Music Education Department. The aim of this study is to get an idea about the use of smart phones by music department students. In the study, a review was made of how music students use their smartphones. The questionnaire method was used to answer questions such as what kind of applications they use on smartphones and how much they benefit from the applications they use professionally. Research questions were asked which applications are the most popular for personal and school use, which applications are satisfied and which applications they are not satisfied with. The data obtained were presented in the form of a table and interpreted. It was concluded that the students used certain programs on their smartphones beneficial for their field education. The study is important because it contributes to researchers, field experts and similar studies.
Teaching Reading online For a Small Class: An Instructional Design for Teaching Reading Online

The digital technology has equipped people especially the students with applications needed for online learning in the form of applications. However, these applications will be useless if the online learning concept is not applied in the correct way. This research is aimed to describe qualitatively the instructional design of teaching reading online in a small class which consists of 5 students. The method of the research is qualitative research. The data collected by observing the process of learning and documenting the process. The result found that the small numbers of students is the most important aspect to make the instructional design effective. All the students were active in the online learning. The online media used were Google Meet and WhatApps Group (WAG). The Google meet was the substitution of classroom and WAG was the medium to sending the materials. The highest score for the progress test was 92 and the lowest was 78. The score indicates that the instructional design for teaching reading online in the small class is effective.&#x0D; &#x0D; Keywords: teaching Reading, instructional design, small class
STRUKTUR, UNSUR, DAN TIPE TEKS DALAM TEKS CERITA FANTASI KARYA SISWA KELAS VII SMP NEGERI 7 PADANG

AbstractThis study aims to describe the structure of the text (orientation, complications, resolution), elements, and types of text contained in the fantasy text stories written by students of class VII of SMP Negeri 7 Padang. The data to be analyzed in the form of structure, elements, and type of text contained in the text of a fantasy story. Data collection techniques in this study were carried out through three stages. First, researchers read and understand the text of fantasy stories. Second, researchers mark the sections related to the structure of the text, elements, and types of text of fantasy stories. Third, inventorying findings related to the structure, elements, and type of text into the data inventory format Based on the results of the study, it can be concluded three things as follows. First, in general students of class VII SMP 7 Padang have used the three text structures of fantasy stories. This is evident from the 48 fantasy story texts analyzed there are 2 fantasy story texts that do not have a complete structure. Second, students generally use six elements of fantasy story text. This is evident from the 48 fantasy texts analyzed which all have complete elements, namely themes, plot, characters and characterizations, settings, points of view, and mandates. Third, the type of fantasy story text is divided into two, namely (1) based on conformity with the real world, students are more likely to write slices of fantasy stories and (2) based on story settings, students tend to write stories over time, from the present to the past. Kata Kunci: Struktur, Teks Cerita Fantasi Tipe, Unsur
A Provably Secure Certificate-Based Aggregate Signature Scheme

Aggregate signature is widely used in special occasions where the signatures on many different messages generated by many different users need to be compressed into one single signature. This paper presents an efficient certificate-based aggregate signature (CBAS) scheme from bilinear pairing. In the random oracle model, the new scheme is proven existentially unforgeable against adaptive chosen message attacks under the computational Diffie-Hellman assumption. The signature verification of the new scheme only needs constant pairing computations, which improves the efficiency of communication and computation, and it is more suitable for the applications in resource-constrained network environment.
INTEGRATIVE APPROACH IN SCHOOL NATURAL SCIENCE EDUCATION

The article examines the current problems of implementing an integrative approach in school natural science education. The terminological definition of the concepts “integrated” and “integrative” has been clarified. “Integrated” is used to define the state which has undergone the action of integration, a holistic, without internal contradictions, set from the outside. In this sense, we propose to use the terms integrated course, integrated lesson, integrated task, integrated knowledge, integrated content. “Integrative” is one that is about integration, a unifying process that is realized through the means of integration. In this sense, we consider the integrative approach as a means of integrating knowledge, content, activities, organizational forms of learning, as well as integrative learning technologies.We have studied the practice of implementing the integrative approach in school natural science education. The following contradictions were revealed. Researchers have proved the effectiveness of the introduction of integrated natural science courses, the need to develop comprehensive curricula in natural science subjects on the basis of a single educational field of state standard, the importance of forming a holistic (integrated) knowledge, scientific worldview. However, the lack of specialists, natural science teaching methods makes it difficult to implement the integrative approach.In today's information society, changes in the philosophy of education, the issue of the integrative approach in school natural science education is gaining new meaning. The implementation of the integrative approach in natural science education is carried out at several levels: as a whole in the system of general secondary education, which determines the role and place of natural science education in it as a component; in the system of natural science education itself, which determines its structure, provides intersectoral and interdisciplinary links, the “core” of natural science content, the general methodology of teaching natural science subjects; in teaching natural science subjects / integrated courses, which provides intra-logical connections, ways and methods of integrating knowledge and skills.
Online Passage Of The Practical Lesson On The Topic" Fluid Flow And Biophysical Properties " In The Module System

This article is devoted to the transition of "Fluid flow and biophysical properties" in a modular system. The importance of viscosity coefficient in medicine, its application in diagnosis and forensic medical examination is described. However, the Stokes method of finding the viscosity coefficient, the availability of viscometric methods, the application of Gess (VK-4) viscometer in medicine to find the viscosity coefficient are described.
ALGORITMA NON-PHOTOREALISTIC RENDERING UNTUK KARTUN MENGGUNAKAN K-MEANS DAN CANNY

Cartoons are one type of illustration usually in a non-realistic or semi-realistic style. To make a cartoon drawing manually requires good drawing ability. So, not everyone can make cartoons. This research proposes a non-photorealistic rendering algorithm to create cartoon drawings automatically. The algorithm consists of four phases. First, create an image abstraction using bilateral filtering. Second, using kmeans clustering for abstract image quantization. Third, get the contour lines of the drawing using the canny algorithm. Fourth, contour lines and quantized images are combined. The results show that this algorithm can produce good visualization of cartoon images.
Education and human development: learning experiences from emerging perspectives

In this communication is actively reflected about the relevance of education not to stray from its building function, and, consequently, on the need to assume the educational act from emerging pedagogical constructs inspired in the pedagogies of alterity, on live projects and on uplifting understanding. Some innovative experiences are connected from the pedagogy, the cognitive environments and the conditions that characterize the development of academic processes based on the proposal of the Specialization and a Master in Human Development with an emphasis on the creativity and affective processes, in a Universidad which leads to an adequately respond to the demands of the academy’s role in the current events in both real and virtual contexts.
Automated Product Review Collection and Opinion Analysis Methods for Efficient Business Analysis

In this paper, we propose a business analysis method that automatically collects review information related to a specific product by using a web crawler, analyzes the customer's emotional response to the product, and supports marketing activities.In order to process data collected from web pages and social networks into information that can be used for marketing, several levels of data processing and text mining techniques are needed.Although various studies have been carried out for this purpose, the data collected through lots of effort and cost contain more extensive information than needed for marketing.So the usefulness of the information obtained through data processing and analysis is not really good.In this paper, we propose a system that automatically receives data from interested sites, interested fields, interested keywords, and target period information from a user and crawls the data.In addition, the reviews that can be used only in marketing can be selected to judge whether or not they are positive, thus it improves the accuracy of the analysis.For the experiment, we collected the reviews of the books sold by specific publishers over the past three years and conducted reputation analysis.The proposed classifier distinguishes through supervisor whether the data collected is a proper review or not.The accuracy of the review classifier is 98.7%.The reputation analyzer judges whether the review is positive or negative with the 86.1% accuracy.The results of this study can be used directly in various industries.And we plan to develop the reputation analyzer, improving the accuracy and extracting the reputation factors affecting customers.
Performance Evaluation of Open Source Web Application Vulnerability Scanners based on OWASP Benchmark

The use of web application has become a critical component in our daily routine work due to its enormous benefits.Unfortunately, most of the web application deployed are not totally devoid of bugs which makes them vulnerable to attacks.Web application scanners are tools that detect security vulnerability in web application.Although there are several commercial and open-source web application vulnerability scanners proposed in literature, the performance of these scanners varies in relation to their detection capabilities.The aim of this paper is to assess and compare the vulnerability detection capabilities of five open-source web application vulnerability scanners (WAVS), namely, ZAP, Skipfish, Arachni, IronWASP and Vega by executing them against two vulnerable web applications, damn vulnerable web application (DVWA) and WebGoat.Furthermore, we evaluate the performance of the scanner results using the OWASP benchmark metric.The experimental results show that ZAP, Skipfish and Vega are very efficient for detecting the most common web vulnerabilities, such as Command Execution Cross-Site Scripting and SQL injection.The findings further show Skipfish obtained the highest Youden index of 0.7 and 0.6 in DVWA and WebGoat, which makes the scanner superior than all the studied tools.Based on our evaluation results, we make some valuable recommendations since software security is a very fast-growing domain.
The Influence of Teachers’ Leadership and Motivation on Social Science Learning Outcomes MA Yahisha Cihampelas Bandung

-&#x0D; The aim of this study was to know the influence of teachers’ leadership and motivation, to know the learning outcomes on learning social science. This research was quantitative with regression linear. The researchers taken 30 students from class XI IPS (social science) 1 Year 2020/2021 at MA Yahisha Cihampelas Bandung. The result show that the hypothesis in this study can be accepted, namely there is an influence of Teachers' Leadership and Motivation on the Social Science Learning Outcomes of Class XI IPS 1 Students 2020/2021 at MA Yahisha Cihampelas Bandung. With a high level of significance. In other words, Teachers' Leadership and motivation can be used as a method to improve student learning outcomes, in this case, Social Science lessons in the teaching and learning process.&#x0D; Keywords: Teachers’ Leadership, Social Science Learning Outcome, Motivation