Reviewerly/exHarmony huggingface dataset:
The Effect of Participative Learning Strategy and Interpersonal Communication on Results of Civic Learning Education

The purpose of this study is to determine the differences in civic learning outcomes of students who are taught with participatory group and individual learning strategies, know the differences in civic learning outcomes that have high interpersonal communication and who have low interpersonal communication and know the interactions between learning strategies and interpersonal communication learning outcomes of Civics. To test the hypothesis the learning outcomes used are civic learning outcomes that have high interpersonal communication and learning outcomes that have low interpersonal communication. The statistical test used in this research descriptive statistics presents the statistical data used by ANAVA, the data analyst requirements test, namely the normality test, the lilifors and the Variance homogeneity test with the Bartlett test. The research instrument of civic learning outcomes using a multiple choice test consists of 35 items and has a reliability of 0.761 using the Kuder-Richardson formula (KR-20). For students who have high and low interpersonal communication using interpersonal communication tests using a standard Likert scale. The results of hypothesis testing show that being taught with a participatory group strategy has a higher PKn learning outcome than the individual participatory strategy learning outcomes. This is indicated by the count = 1.20&gt; table = 4.02, at the significance level α = 0.05. High interpersonal communication higher Civics learning outcomes that have low interpersonal communication. This is indicated by F arithmetic = 48.46&gt; table = 4.06 on Significant level α = 0.05 with dk = (1.76), and the interaction between learning strategies and students' interpersonal communication towards learning outcomes of Civics. This shows the count = 48.46&gt; table = 4.06 at a significant level α = 0.05.
Analisis Risiko Bencana Kebakaran di Kecamatan Tambora Kota Administrasi Jakarta Barat

Tambora sub-district is a sub-district that has the smallest area in West Jakarta with the largest population, causing Tambora sub-district to be a densely populated area. Population density which is not matched by the carrying capacity of the environment causes a region to become slum and prone to fire disasters. This study aims to analyze the level of risk of fire disasters in Tambora Subdistrict, West Jakarta. The methodology used in this study were the Multi Criteria Evaluation (MCE) analysis and fire disaster risk analysis by considering the relationship between the hazard and vulnerability variables. The results of the fire disaster risk analysis showed that the most dominant level of fire risk was a moderate risk level of 65.7%, a high risk level of 27.8% and the smallest was a low risk level of 6.5%. Viewed from the size of the area included in the medium and high risk of fire, indicating that Tambora Subdistrict is a subdistrict prone to fire and has a large potential loss of both property and life.
BM3D Outperforms Major Benchmarks in Denoising: An Argument in Favor

The inherent physical limitations of imaging sensors lead to prevalence of additive white Gaussian noise in images which deters the feature extraction and analysis.There exists a number of denoising algorithms in literature, demonstrating their efficacy for removing noise while preserving feature details.At the crossing of functional and statistical analysis, one argues with new methods being devised quite frequently, whether the decade old BM3D is still efficient or not.While carrying out extended experimentation and evaluation for removal of Gaussian noise from natural images in terms peak signal to noise ratio, an argument in favor of BM3D has been presented in this manuscript.
HYPNO: Theorem Proving with Hypersequent Calculi for Non-normal Modal Logics (System Description)

We present HYPNO (HYpersequent Prover for NOn-normal modal logics), a Prolog-based theorem prover and countermodel generator for non-normal modal logics. HYPNO implements some hypersequent calculi recently introduced for the basic system $$\mathbf {E}$$ and its extensions with axioms M, N, and C. It is inspired by the methodology of , so that it does not make use of any ad-hoc control mechanism. Given a formula, HYPNO provides either a proof in the calculus or a countermodel, directly built from an open saturated hypersequent. Preliminary experimental results show that the performances of HYPNO are very promising with respect to other theorem provers for the same class of logics.
Bit Reduced FCM with Block Fuzzy Transforms for Massive Image Segmentation

A novel bit reduced fuzzy clustering method applied to segment high resolution massive images is proposed. The image is decomposed in blocks and compressed by using the fuzzy transform method, then adjoint pixels with same gray level are binned and the fuzzy c-means algorithm is applied on the bins to segment the image. This method has the advantage to be applied to massive images as the compressed image can be stored in memory and the runtime to segment the image are reduced. Comparison tests are performed with respect to the fuzzy c-means algorithm to segment high resolution images; the results shown that for not very high compression the results are comparable with the ones obtained applying to the fuzzy c-means algorithm on the source image and the runtimes are reduced by about an eighth with respect to the runtimes of fuzzy c-means.
Implementasi Naives Bayes-Certainty Factor untuk Diagnosa Penyakit Menular

One type of pet is Chicken (Gallus gallus domesticus). Chickens are the result of the domestication of red jungle fowl (Gallus gallus) which is most commonly kept throughout the world. These animals include animals that are easily maintained because they are good at adapting to various conditions of the place. Types of chickens include Broiler, Kedu, Nunukan, Pelung, Garut. Chicken disease can be caused by bacteria, parasites, and viruses. Sometimes the guards don't know that their pet chickens are sick. This can result in death due to delay in handling given. There are also owners who self-treat their chickens, without knowing clearly beforehand what diseases they are suffering from and what drugs are suitable for the disease. Other factors that influence the occurrence of this problem include the limited availability of veterinarians and are not always available at all times. Therefore, an alternative is needed that can provide convenience and ability like a veterinarian in diagnosing infectious diseases suffered by domestic chickens using the naïve bayes method - certainty based on android with 15 types of diseases including Avian influenza, Encephalomyelitis, Chlamydiosis, Pullorum, Fowl Typhoid , Chicken Pox, Chicken anemia syndrome, Helicopter Disease, Aspergillosis, Infectious Bursal Disease, Infectious Bronchitis, Diarrhea, Bacterial Pododermati, Pyotraumatic Dermatitis and Pyoderma. Analysis of test results is done by comparing the results of system diagnoses with the results of diagnoses performed by experts based on the input of the same symptoms from 50 test data, it is known that 45 system test data are declared to match the expert test data, the accuracy of the accuracy of diagnosis results of 90% is in good category.
ON PERFECT POWERS IN LINEAR RECURRENCE SEQUENCES OF INTEGERS

We prove that there are only finitely many perfect powers in any linear recurrence sequence of integers of order at least two and whose characteristic polynomial is irreducible and has a dominant root.
[Trace Metals Pollution and Health Risks for Planning Area Soils of 193 Chinese Cities].

Urban soils are more easily subjected to modification, especially by contamination because of various human activities, and the environmental problems caused by urban soil pollution have become more prominent. To systematically investigate concentration characteristics, pollution levels, and exposure risks of 13 trace metals in urban soils of planning areas for 193 cities above the prefectural level, located in 31 provinces (autonomous regions and municipalities) of China, levels of pollution in urban soil were evaluated using the geoaccumulation index and integrated pollution index of trace metals, and health risks of residents exposed to urban soils were quantified using the health risk assessment method recommended by the US Environmental Protection Agency (USEPA). The results show that the median concentrations of As, Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, Se, Tl, V, and Zn in topsoils of urban planning areas were 9.25, 2.14, 0.174, 12.4, 68.4, 28.2, 0.095, 27.7, 31.1, 0.29, 0.61, 82.7, and 82.2 mg·kg-1, respectively. Compared with the corresponding urban soil background values, the concentrations of Cd, Hg, and Se changed significantly. The geoaccumulation index (Igeo) values showed that Hg in urban soils of the planning area was the most severe pollutant, followed by Se and Cd, which caused pollution levels of uncontaminated to moderately contaminated levels, while other trace metals were uncontaminated. The Nemerow IPI (IPIN) revealed that the soils in 22 urban planning areas were heavily polluted and 16 urban planning areas were moderately polluted; in addition, the most polluted city in China was Zhuzhou in the Hunan province. The results of health risk assessment indicate that the soils in the five urban planning areas-Chenzhou City, Huangshi City, Zhuzhou City, Xiangtan City, and Longyan City-posed potential non-carcinogenic risks to children, and the major factor triggering risks was ingestion of Pb. To understand the soil pollution status and distribution of contaminated land parcel, it is suggested to carry out detailed investigation in cities with integrated moderate to heavy pollution to establish the list of contaminated land parcel and implement pollution control and restoration.
An Improved Quantum Nearest-Neighbor Algorithm

With the development of machine learning stepping into a bottleneck period, quantum machine learning has become a new popular research direction. Quantum computing is built on the principle of quantum mechanics, which can abstract the linear evolution process of quantum systems into a linear mathematical calculation process. This paper explores high-efficient storage and parallel computing performance of quantum computing by analyzing some quantum nearest-neighbor algorithms precisely. Based on these ideas, an improved quantum weighted nearest-neighbor algorithm (QWNN) is proposed, which sufficiently conforms to the idea of parallel computing. QWNN algorithm not only inherits special efficient coding method and amplitude estimation technique of previous quantum nearest-neighbor algorithm, but also includes the weighting algorithm of quantum version. The experimental data show that the performance of QWNN is comparable to that of similar algorithms.
The role of computer vision in the development of knowledge-based systems for teaching and learning of English language education

This study focused on the assessment of the use of computer vision in the teaching and learning of English language education. attracted varying attentions in recent times. In this study, descriptive analysis was used to provide a coherent view of the use of computer vision in implementing knowledge-based systems for the teaching and learning of English Language Education. The language education tasks that were analysed comprised of image captioning, humanmachine interaction, video captioning, visual attributes, visual retrieval and visual question answering. The study also looked at the approaches that could be used to incorporate computer vision and the teaching and learning of English language education courses, with particular reference to models as an integrated topic of distributional semantics. The researchers made an analysis of computer vision and English Language teaching and learning, using distributional semantics as both words and imagery. An integrated view of the subject matter was clearly presented and useful suggestions were made for promising future guidelines. The study also x-rayed the usefulness of computer vision for effective teaching and learning of language education and suggested novel approaches that could be used in incorporating computer vision in developing knowledge-based system for effective teaching and learning of the English language.
The Architecture of P2P Computer Collaborative Design System Based on Artificial Intelligence

Abstract The design of complex products is the result of applying multi-domain knowledge. Moreover, global competition also requires enterprises to speed up the progress of new product development and shorten the r&amp;d cycle in the "unpredictable and continuous and rapidly changing competitive environment". So in today’s highly developed information technology, how to in the computer, so will the design knowledge in the field of multidisciplinary combined effectively, so that you can in a shorter time to provide the market with higher quality, more reasonable cost, better service and more environmentally friendly products, to maintain and expand the competitive advantage, is the key to successful product design. In this paper, we study the Internet environment based on P2P technology of artificial intelligence distributed collaborative design system, first of all, the operation mode of the distributed collaborative design and functional requirements and so on has carried on the system analysis and research, and based on this, advances based on P2P technology of artificial intelligence the architecture of collaborative design system, transfer the data management in collaborative design and collaborative processes to the coordination between site directly, in all of the site is established between the resource sharing, dynamic adjustment mechanism, and obtained better effect of collaborative design.
Temporal RDF(S) Data Storage and Query with HBase

Resource Description Framework (RDF) is a metadata model recommended by World Wide Web Consortium (W3C) for describing the Web resources. With the arrival of the era of Big Data, very large amounts of RDF data are continuously being created and need to be stored for management. The traditional centralized RDF storage models cannot meet the need of largescale RDF data storage. Meanwhile, the importance of temporal information management and processing has been acknowledged by academia and industry. In this paper, we propose a storage model to store temporal RDF based on HBase. The proposed storage model applies the built-in time mechanism of HBase. Our experiments on LUBM dataset with temporal information added show that our storage model can store large temporal RDF data and obtain good query efficiency.
Ontology-based context-sensitive software security knowledge management modeling

The disconcerting increase in the number of security attacks on software calls for an imminent need for including secure development practices within the software development life cycle. The software security management system has received considerable attention lately and various efforts have been made in this direction. However, security is usually only considered in the early stages of the development of software. Thus, this leads to stating other vulnerabilities from a security perspective. Moreover, despite the abundance of security knowledge available online and in books, the systems that are being developed are seldom sufficiently secure. In this paper, we have highlighted the need for including application context sensitive modeling within a case-based software security management system. Furthermore, we have taken the context-driven and ontology-based frameworks and prioritized their attributes according to their weights which were achieved by using the Fuzzy AHP methodology.
OCR Related Technology Methods

The technology associated with character recognition has emerged as a vital technology within the era of the fourth historic period.Character recognition is developing as a core technology needed in various fields.Character recognition is performed by extracting characters from a picture and recognizing the extracted characters.Character recognition technology has been continuously developed.Recently, together with the event of the fourth historic period, character recognition technology has been used as a core technology in many places.This paper introduces the technology associated with character recognition and therefore the program for character recognition.
The role of socio-professional teachers’ unions in a situation when the education system is being modernized

This article points out that the process of modernizing the Russian Federation’s education system is aimed at developing such a professional body of teachers that would be prepared to solve issues associated with improving the quality of education. Given such a situation, the need arises for finding effective means of developing the professional competencies of teachers. One direction for modernizing the education system would be a national system of advancement for teachers, which postulates the need for creating the right conditions for the formal and informal training of educators. Given the context, socio-professional teachers’ unions turn out to be especially vital. The goal of this study was to identify how active participation in the practices of such organizations is connected to a young teacher’s professional growth. The study was conducted in Orel Province. Members of the regional young math teachers’ association were selected to be the object of research, with questionnaire survey used as the research method. The study focused on several aspects of teaching: professional difficulties faced by young educators, the mentorship system, an educator’s value orientations, professional growth. The results of the study allowed for identifying three groups of educators, the first one being young teachers who do not actively participate in educational events. The second group included teachers who do not share their own methodical expertise, but partake in seminars and master classes. The third group consists of educators who publically share their experience and are prepared to think of new ideas for future events. The article shows that the Association’s active participation in various events significantly affected the individual value orientations of trade professionals. Those educators who shared their publically work experience demonstrated a higher degree of professional aptitude in performing their jobs within the national system of teachers’ training. ctive efforts as members of the Association helped young educators quickly adapt within their professional community and establish firm social connections with their colleagues. The authors suggest the need for developing a system of mentorship in educational institutions, which would utilize resources provided by socio-professional teachers’ unions.
An Investigation of the Presence of Anomalies in Digital Asset Market

This paper examines the cryptocurrency bitcoin to determine if there is evidence of the weekday effects, such as the Monday effect, during the period between January 2, 2011 and September 10, 2019. The study shows that Bitcoin exhibits a Monday effect at the 10% level of significance and a Tuesday and Sunday effect at the 5% significance level. The S&amp;P500 stock index also showed a Monday effect but did not exhibit a Tuesday or Sunday effect. The study also examined if there was a Month of the Year effect and found that Bitcoin exhibited a May and November effect at the 10% significance level.
Membudayakan Keterampilan Menulis pada Mading Kelas untuk Melatih Kreativitas Siswa

Writing is an inseparable activity from everyday human life. Writing skills can be fostered from diligent reading. One of the reading media as well as the media for pouring student work is mading. Mading is a vehicle for applying students' abilities, especially in the field of writing. MI Manbaul Ulum Karangduren is a school located in Malang Regency. The school does not yet have a class bulletin board containing student work. Thus, the opportunity for students to develop their creativity in writing is hampered. Efforts are needed to improve writing skills for students to build a reading culture. One way is to publish bulletin as a teaching aid and coaching. Through bulletin board, it is hoped that students can have creativity in writing. The results of community service activities show that students' writing skills have improved. The average value of N-Gain Creativity Test scores 0.73 in the high category. This shows the level of effectiveness of the treatment has a high effect on the post test.
MENJALIN HUBUNGAN SOSIAL MELALUI KESANTUNAN BERBAHASA

The culture of a society will be reflected in the politeness it implements, including politeness in language. The purpose of this article is to describe the strategies that can be used by the speaker and the interlocutor to achieve good communication, the types of politeness in language, and the ethics used in speaking and speaking. It can be concluded that there are many ethics, manners and courtesy in speaking that are known and adhered to by the community
Constructing big panorama from video sequence based on deep local feature

Constructing high-quality panorama is a fundamental task in both computer vision and computer graphics communities, thus, leading to many image stitching approaches for panorama construction. However, panorama constructed by traditional image stitching has a limited angle of view and has an expensively computational cost. To defend the issues, in this paper, we proposed to use video sequence as input for constructing big panorama, resulting in a high-quality panoramic image, the presented method is built on the stabilized video and robust feature tracking method. Specifically, the input video sequences are captured by moving hand cameras which can be any type of consumer-level camera. To mitigate the affections from rolling shutters in videos, a novel video stabilization method is introduced to filter the unstable camera's path, then resulting in a stabilized video for panorama construction. Additionally, a deep local feature-based feature tracking method is proposed to produce feature correspondences between consecutive video frames for camera motion estimation used in both video stabilization and image stitching. Finally, a comprehensive experiment conducted on the benchmarking datasets is presented to demonstrate the effectiveness of the proposed method.
Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links

Reading comprehension requires readers to connect ideas within and across texts to produce a coherent mental representation. One important factor in that complex process regards the cohesion of the document(s). Here, we tackle the challenge of providing researchers and practitioners with a tool to visualize text cohesion both within (intra) and between (inter) texts. This tool, Multi-document Cohesion Network Analysis (MD-CNA), expands the structure of a CNA graph with lexical overlap links of multiple types, together with coreference links to highlight dependencies between text fragments of different granularities. We introduce two visualizations of the CNA graph that support the visual exploration of intratextual and intertextual links. First, a hierarchical view displays a tree-structure of discourse as a visual illustration of CNA links within a document. Second, a grid view available at paragraph or sentence levels displays links both within and between documents, thus ensuring ease of visualization for links spanning across multiple documents. Two use cases are provided to evaluate key functionalities and insights for each type of visualization.