Reviewerly/exHarmony huggingface dataset:
Application Research of Project-based Teaching Based on Working Process in Oracle Database Teaching

Abstract This paper combines the design and development of student management system and integrates project-based teaching based on working process into the course of Oracle database technology. It guided by the working process and regarding the project as the carrier, and in accordance with the principle of “task-driven, practice-connected, work-integrated and strengthening ability”, combing the online and offline teaching integrates with “teaching, learning and doing”, fully arouses students’ learning enthusiasm and initiative, and enhances their comprehensive ability and sustainable development ability.
On Periodization of Pragmatism

Currently, there are a s number of positions on periodization and stages of the evolutionary development of pragmatism. In contemporary philosophy and the history of philosophy there is no stable consensus as to who of the modern philosophers can be unambiguously ranked among pragmatists and neo-pragmatists, and also, from what point can one speak of the onset of the neo-pragmatist stage of development of this tradition. The lack of a unified approach, ultimately, makes it difficult to understand the content of pragmatism itself as a philosophical position due to the impossibility of linking to it any key figures and prominent researchers. The article discusses the main provisions and approaches to the periodization of the stages of the evolution of pragmatism, adopted in the scientific literature, and offers arguments in favor of some adjustments regarding the chronology of neo-pragmatism.
A Hierarchical Clustering Approach for DBpedia based Contextual Information of Tweets

The past decade has seen a tremendous increase in the adoption of Social Web leading to the generation of enormous amount of user data every day.The constant stream of tweets with an innate complex sentimental and contextual nature makes searching for relevant information a herculean task.Multiple applications use Twitter for various domain sensitive and analytical use-cases.This paper proposes a scalable context modeling framework for a set of tweets for finding two forms of metadata termed as primary and extended contexts.Further, our work presents a hierarchical clustering approach to find hidden patterns by using generated primary and extended contexts.Ontologies from DBpedia are used for generating primary contexts and subsequently to find relevant extended contexts.DBpedia Spotlight in conjunction with DBpedia Ontology forms the backbone for this proposed model.We consider both twitter trend and stream data to demonstrate the application of these contextual parts of information appropriate in clustering.We also discuss the advantages of using hierarchical clustering and information obtained from cutting dendrograms.
Experience Perception, Deepen Cognition

As an indispensable part of higher education in China, independent colleges bear the responsibility of talent training in the new era. Optimizing college English teaching environment in independent colleges is important for the healthy growth of college students. To explore new ideas of college English teaching in independent colleges, this paper applies the cognitive teaching model to the entire process of college English teaching, By deepening their cognition and comprehension with the flexibility of the cognitive teaching model, this enhances college students’ experience of English learning.
A channel matching scheme for cross-chain

At present, the cross-chain technology works on becoming a bridge to build trust and transmit the information among chains. However, most of the existing schemes have poor universality, and they also have insufficient protection for the process of information cross-chain transmission. Contraposing the deficiencies above, we propose a channel matching scheme for cross-chain (CMSCC), CMSCC combines the ideas of the relay chain scheme and the channel in Fabric. The relay chain named chain-anchor and relay-chain (CARC) can be connected to other blockchains by multi-blockchain communication and consociation protocol (MBCCP). In CARC, the order peers will match the peers which on different chains and will create the peer matching channel (PMC) among matched peers. So, the information can be transmitted among matched peers. Finally, the experiment verifies that CMSCC enables information to be transmitted among chains through PMC, and CMSCC can also protect the process of information cross-chain transmission by PMC simultaneously.
Application of Strategic Management Information System (SMIS) in the Ministry of Interior, UAE: Issues and Challenges

The purpose of this paper is to present and describe SMIS implementation challenges or problems as well as identifying the key issues to achieve successful implementation.Moreover, this research seeks to explain the implementation effects and consequences which impact the organization and its processes.We investigate the key challenges faced for implementing SMIS in the Ministry of Interior, UAE.Quantitative methodology used and structured questionnaire was imployed.150respondents were participated in this study and data was analyzed by using SPSS V.19.The findings show that budgetary, infrastructural and human resource capabilities have significant impact on the performance of SMIS.It is recommended to invest in technology development and taking initiatives to enhance skill of employee.Increase awareness at every level of the management, from the grass root level should be practiced as to make all aware that such a strategic management information system exists in the ministry of interior.Better regulatory observation needed to be adhered to monitor the information system and adhere to compliance issues.Training facilities by both in house and external trainers required on the latest software and application of strategic management information system.
Penerapan Model Pembelajaran Student Teams Achievement Division Untuk Meningkatkan Hasil Belajar Matematika Siswa Kelas V SD GMIM V Tomohon

This study aims to improve student mathematics learning outcomes in fifth grade GMIM V Tomohon Elementary School. This study uses a classroom action research (CAR) method using a spiral model from Kemmis and Mc. Taggart which consists of planning, action, observation, and reflection is carried out with two learning cycles. The subjects of the study were the fifth grade students of GMIM V Tomohon Elementary School, totaling 25 people. Data in the form of qualitative data and quantitative data. Of the two cycles carried out in the study using the STAD type cooperative learning model in subject mathematics of fifth grade GMIM V Tomohon Elementary School, it turned out that student learning outcomes showed a significant increase. From the learning outcomes data obtained, analyzed by calculating the percentage of completeness of student learning outcomes in a classical. In cycle I student learning outcomes reached 65.2% and in cycle II student learning outcomes achieved 92% success indicators, so that from student achievement using the STAD Type Cooperative Learning Model is more effective to be used in fifth grade GMIM V Tomohon Elementary School
ANDROID-BASED NATIONAL EXAMINATION: HONEST CHARACTER APPLICATOR

This research originated from concerns about the opportunity to cheat if the test was conducted on computer media and smartphones (Android). This study aimed at determining the process of implementing computer-based and Android-based National Examination (USBN), constraints that may be faced, whether or not there are opportunities for examinees to cheat, effective or not, and whether or not USBN-based and computer-based USBN is efficient. In this study, researchers used descriptive research methods by collecting data on interviews, documents, and library sources as primary data sources and secondary data. The implementation of USBN CBT (National Standard School Exams Based Test) is an alternative in minimizing paper use. USBN CBT is more effective and efficient than USBN PBT (Paper Based Test). The results of the study found that: the process and technical implementation of computer-based and android-based USBN in 9 high schools throughout the Banyuasin District of South Sumatra Province differed from one another, 2) There were no severe constraints, 3) There was no opportunity for exam participants to cheat, 4) Very effective because it is easier to practice, 5) Very efficient because it can minimize the use of paper and electricity, especially in USBN based on Android. In the following years, it was strongly recommended to implement computer-based and android-based USBN both in the high school environment throughout the Banyuasin District, in South Sumatra and throughout Indonesia in general.
Perancangan Dan Implementasi Private Cloud Storage Dengan Seafile Pada Debian 9

Storage devices (storage devices) continue to evolve to adjust the needs that are increasingly increasing and more effective. From the start using magnetic tape, floppydisk, magnetic disk, up to hard disk and flashdisk. Storage media has many weaknesses and problems such as viruses, loss of storage devices and often forget to bring. Now there are online data storage providers or cloud storage, but the data that we store is on a server that is owned and managed by the service provider vendor. For data that is privacy or confidential certainly does not guarantee the data is safe. Therefore this research aims to build a personal storage service system (private cloud storage). This private cloud storage service system was designed using a Seafile application and the Debian 9. Linux operating system. This is expected to guarantee security and confidentiality, because the cloud server is built by itself and is used among internal users. The research method in this study uses the SDLC (Systems Development Life Cycle) method consisting of five phases: planning, analysis, design, implementation and maintenance.
THE FRACTAL DIMENSION-BASED DESCRIPTOR OF THE MICROVASCULAR PATTERN ON THE HISTOLOGICAL SECTION

The microvascular pattern in the histological section, i.e. the point-pattern composed of capillaries perpendicular to the plane of section, contains information about the three-dimensional structure of the capillary network. Histological processing is followed by the shrinkage of tissue of uncertain magnitude. In order to obtain relevant information, the scale-independent analysis is necessary. We used an approach based on the Minkowski cover of measured set. The true fractal dimension of the point pattern is obviously of zero, but the artificial result of the algorithm can be related to the complexity of shape. We fitted the log-log plot by the modified rounded ramp function and the slope of the oblique part was used as the fractal based descriptor. We demonstrated on histological samples of the heart that this fractal-based parameter has the property of scale and rotation invariance.
ARDIN: ART, DESIGN AND ENGINEERING METHOD, A NEW WAY OF UNDERSTANDING THE STEAM APPROACH IN THE TEACHING-LEARNING PROCESS IN HIGHER EDUCATION

Information about the paper titled "ARDIN: ART, DESIGN AND ENGINEERING METHOD, A NEW WAY OF UNDERSTANDING THE STEAM APPROACH IN THE TEACHING-LEARNING PROCESS IN HIGHER EDUCATION" at IATED Digital Library
THE EFFECT OF REAL MEDIA ON THE STUDENTS’ ABILITY IN WRITING PROCEDURE TEXT OF THE EIGHTH YEAR STUDENTS OF SMP SWASTA DEWANTARA PUTRA SEBERTUNG AT ACADEMIC YEAR 2018/2019

The study deals with an experimental research design which seeks for the effect of real media on students’ ability in writing procedure text. The problems that had been identified by the writer are including many of junior high school students have difficulties in understanding the genres of text, they still get lack of vocabularies which makes the students difficult to compose any kinds of text, the procedural texts seem hard for students to comprehend without any practical media, the written language is more complicated than spoken one, and teacher does not have very effective strategy to overcome the students’ inability in learning procedural text. 70 students at the eighth year students at SMP Swasta Dewantara Putra Sebertung in academic year of 2018/2019 are taken as the subject of the study. Multiple choices are used to obtain the data on the variable. The final data then is analyzed by using technique of t-test analysis. The result shows that coefficient of tcounted (3.37) was greater than the ttable coefficient (1.66757). This means that there is the effect of real media on students’ ability in writing procedure text of the 2018/2019 eighth year students of SMP Swasta Dewantara Putra Sebertung. Therefore, the hypothesis of the study is accepted.
On the Sobolev embedding properties for compact matrix quantum groups of Kac type

We study the optimal order of natural analogues of Sobolev embedding properties within the framework of compact matrix quantum groups of Kac type. One of the main results of this paper is that the optimal order is given by the polynomial growth order of dual discrete quantum groups in a broad class, which covers all connected compact Lie groups, duals of polynomially growing discrete groups, $ O_2^+ $ and $ S_4^+ $. Outside the realm of co-amenable compact quantum groups, we prove that the optimal order is $ 3 $ for duals of free groups and free quantum groups $ O_N^+ $ and $ S_N^+ $, and that Sobolev embedding properties can be generalized for all compact matrix quantum groups of Kac type whose duals have the rapid decay property. In addition, we generalize sharpened Hausdorff-Young inequalities, compute degrees of the rapid decay property for duals of $ O_N^+,S_N^+ $ and prove sharpness of Hardy-Littlewood inequalities on duals of free groups.
HIGH UTILITY ITEM INTERVAL SEQUENTIAL PATTERN MINING ALGORITHM

High utility sequential pattern mining is a popular topic in data mining with the main purpose is to extract sequential patterns with high utility in the sequence database. Many recent works have proposed methods to solve this problem. However, most of them does not consider item intervals of sequential patterns which can lead to the extraction of sequential patterns with too long item interval, thus making little sense. In this paper, we propose a High Utility Item Interval Sequential Pattern (HUISP) algorithm to solve this problem. Our algorithm uses pattern growth approach and some techniques to increase algorithm's performance.
A Novel Technique for Eliminating Parameter Initialization in Clustering

This study revealed the results of simulating the techniques for eliminate cluster initialization in clustering through series of test of different clustering techniques. Clusters of similar database schema from heterogeneous data sources was successfully clustered at an improved accuracy of 93.33%. The accuracy of clusters using self-organizing map neural network (SOM) was improved by implementing the two-step clustering method prior to SOM with an accuracy of 93.33 percent, an increase of 6.33% from the clustering result of SOM. Agglomerative clustering with hierarchical clustering are best combined to come-up with an automatic clustering task, thus, initialization was eliminated.&#x0D; Keywords: clustering, agglomerative clustering, hierarchical clustering, self-organizing map neural networks
PENINGKATKAN HASIL BELAJAR LARI SPRINT MELALUI VARIASI PEMBELAJARAN SISWA KELAS VIII SMP NEGERI 2 MEDAN

This study aims to determine the Improved Learning Outcomes of Sprints Using Learning Variations in Class VIII Students of SMP Negeri 2 Medan Academic Year 2018/2019. The subjects in this study were students of class VIII with 32 students. The method used in this research is Classroom Action Research using a quantitative approach. From preliminary Sprint data using variations in overall learning outcomes There are only 10 students who understand the basic techniques of sprint running (31.25%), the remaining 22 students still cannot understand how to do the sprints starting from the beginning, implementation and suffixes ie around (68.75%). Cycle I obtained as many as 22 students (68.75%) have reached the level of mastery learning while 10 students have not reached the level of mastery learning (31.25%), but have not met the expected classical completeness criteria of 75%. Cycle II as many as 27 students (84.37%) who have achieved mastery learning and 5 students are still incomplete (15.63%). The conclusion of the research is that through variations in learning can have an effect in efforts to improve learning outcomes for sprint running in class VIII SMP Negeri 2 Medan Academic Year 2018/2019.
Towards Characterizing Architecture and Performance in Blockchain: A Survey

Since the launch of Bitcoin, the interest in blockchain technology has grown over the years and has attracted many researchers. There are several proposals to improve the performance of the blockchain, however, these proposals bring a series of changes, which are difficult to implement and most of them are not compatible with existing applications. The current limitations prevent blockchain from being used on a large scale for other types of applications or even replace the currently known electronic payment methods, making studies necessary to address these gaps and evolve the technology. This paper presents a literature review of blockchain technology with a focus on architecture, security, and performance, providing an understanding of the main features and exploring the current open gaps, in light of the main tools used in the systematic literature review methodology. A taxonomy is also proposed to support design solutions and helping to classify blockchain systems.
Philosophical education and psychology

The article is dedicated to the specifics of modern philosophical education. The problem of methodical correlation between philosophy and psychology teaching is considered. One of the aspects of the subject under research is philosophical foundations of psychology. The article is intended for teachers of philosophy, psychology, and other humanities.
State Estimation of Target Tracking Based on Improved Input Estimation Algorithm

The estimation effectiveness for tracking a maneuvering target depends on the accurate modeling of target motion and the performance of the estimator. In this paper, a three-dimensional motion equation of target flight route is proposed to describe the motion state of maneuvering target. An improved input estimation algorithm is developed to solve the problem of noise disturbance for obtaining the target state precisely. It utilizes the residual innovation and the fuzzy logic theory to design a fuzzy weighting factor to improve the traditional input estimation method. The theoretical development of tracking technique is verified by using several different filters and compared with the Singer model method for tracking a maneuvering target. The simulation results prove that the improved input estimator has the better estimation performance than the other filters, and the proposed method outperforms greatly the Singer model method. The proposed tracking technique suggest a feasible method to improve the tracking ability of the radar especially for the maneuvering target with violent movement and the improved input estimation algorithm has a satisfied estimation performance.
Data Mining for Assessment of Final Year Major Project (FYMP) Marks in Mechanical Engineering

Each year, a batch reaches to the completion of a final year with an essential Major project.This project is the sole basis of the assessment of the impact of all the subjects throughout their curriculum and which has led them to be called as Engineers.Engineering degree is a real time approach to many solutions which an engineer must face and solve with his skill and knowledge acquired throughout his degree curriculum.Though all the subjects are thoroughly evaluated and assessed, still to evaluate its practical approach to a problem specified is the root cause of assigning a Final year major project (FYMP).The assessment of FYMP is an important phase and a special tool has to be planned to give proper marks/ grades to the students.Many skills of the students are being judged and assessed like his way of problem framing, writing skills, presenting skills, justifying skills, analyzing skill, teamwork and overall societal impact.The relevance of the project to the current scenario and its theme and orientation also plays a vital role in assessing a student.This paper is an initiative to frame a proper rubric to do better judgment for a final year mechanical engineering major project.
THE EFFECTIVENESS OF TEACHING SPEAKING BY USING WHATSAPPS OF TENTH GRADE STUDENTS AT MAN 4 KEDIRI

The aim of the research was to analyze whether Whatshapp Messenger (WA) was effective to be used in teaching speaking descriptive at the tenth grade of MAN 4 Kediri. This research was quantitative research approach, whereas the research design used was posttest-only control-design. This research used two classes which became experimental group (MIA 3) and control group (MIA 4). In experimental group was taught by using Whatshapp Messenger, whereas control group was taught without Whatshapp Messenger. The instruments used in the research was written test. The procedure lasted 3 meetings and 1 meeting to do test. The result of t-test showed that: the mean score of experimental group (M = 81.15) was higher than control group (M = 70.29), and independent-samples t-test which values of the sig. 2-tailed was 0% or 0.000 and 0.000 &lt; 0,05. Thus, it could be concluded that Whatshapp Messenger was effective in teaching and learning of English speaking descriptive text. This result suggests that the speaking aspects which the students significantly outperformed were (1) Pronunciation (2) Vocabulary (3) Grammatical (4) Fluency (5) Comprehension and (6) Expression.
An Efficient Cloud Auditing Scheme for Data Integrity and Identity-Privacy of Multiple Uploaders

On the cloud, data are not only stored on multiple locations, but also shared across multiple users. The integrity of data on the cloud is subject to doubt due to cloud failures. Therefore, many techniques are available to verify the existence of data on the cloud without retrieving the entire file. However, the data auditing techniques reveal confidential information to the designated verifier which breach the identity of the data uploaders. This paper introduces a privacy-preserving scheme for multiple data uploaders over the cloud. In the proposed design, the identities of the data block signers are hidden from a Third Party Auditor (TPA). A Secure Hash Algorithm (SHA) is also employed to provide an integral auditing report between the data owner(s) and the TPA. The proposed design is tested and verified mathematically and experimentally using a set of synthesized data.
Segmentation of Acute Lymphoblastic Leukemia

The various steps involved in acute lymphoblastic leukemia detection are pre-processing, segmentation of white blood cells, feature extraction and then classification. The segmentation procedure, a novel simple algorithm, is proposed for localization of white blood cells and the different cell components are separated with automatic thresholding. Features extracted from the segmented nucleus are motivated by the visual cues of shape, color and texture. The results shown that signification feature to classified normal and acute lymphoblastic leukemia cell, such as area, perimeter, orientation, eccentricity, mean and standard deviation in RGB color space and L*a*b color space, number of vacuole, number of nucleoli, nucleus compactness, number of nucleus pixels to cytoplasm pixels ratio. The backpropagation neural network for implementation and uses the different combinations of feature sets. The results presented here are based on trials conducted with normal cells. For training the classifiers, a library set of 532 patterns is used. The tested data consists of 477 samples and produced correct classification rate in the range from 74.24% to 96.98 %, 88.48% for an average sensitity and 78.58% for an average specificity.