Reviewerly/exHarmony huggingface dataset:
Improving The Ability Of Writing Review Texts Through The Concept Sentence Learning Model Class VIII-1 Students Of SMP Negeri 2 Tuhemberua

Review text is a text that results from an analysis of various things. Analysis can take the form of books, novels, news, reports or fairy tales. The text provides responses or analyzes related to the setting, time, place, and characters in the text. Basically, the review text is a book review or summary. The purpose of this study was to improve the students' ability to write text reviews using the Concept Sentence learning model. This classroom action research activity was carried out in two cycles using data collection techniques, observation sheets and assessment sheets. The subjects of this study were students of class VIII-1 SMP Negeri 2 Tuhemberua in the even semester, totaling 26 students, with 15 boys and 11 girls. The results of this study indicate that there is an increase in the ability to write reviewed texts through the concept sentence learning model. Cycle I with an average value of 62.11 the lowest score is 50, the highest score is 80, while in the second cycle with an average value of 80 the lowest score is 75 the highest score is 90. Students who complete the first cycle are 9 people with an average percentage 34.6% while the students who completed the second cycle were 26 people with an average percentage of 100%. The results of student observations in the first cycle of the first meeting were 76.15% and the second meeting was 79.23%, whereas in the second cycle the first meeting was 85.38% and the second meeting was 93.46%. The results of observations on the performance of researchers in the first cycle of the first meeting were 57.89% and the second meeting was 72.36%, while the second cycle of the first meeting was 81.57% and the second meeting was 88.15%. Based on the results of the study, the researchers concluded that: using the Concept Sentence learning model can improve the ability to write review texts in class VIII-1 students of SMP Negeri 2 Tuhemberua in the Learning Year. Suggestions from these results, the researchers suggest that: 1) for students it is expected to be able to increase interest in writing review texts, 2) for teachers of SMP Negeri 2 Tuhemberua, this research can enrich the knowledge of teachers in the field of study in solving problems related to teacher efforts. in improving the skills of SMP Negeri 2 Tuhemberua.
Selection of Shortest Path &amp; Validation for Motion of Multiple Robots

When a robot moves from the initial position to the desired position, one or more obstacles having curved periphery are likely to be encountered. When the robot encounters any static obstacle, to avoid the collision, it deviates its path. When the divergence occurs, the robot has more than one direction to reach its destination. Using recursive algorithm, the shortest path is taken from all these alternative paths. The efficiency of the path obtained from alternate paths and decision tree values, validation is done using chi square test. Multiple robots are used in medical and industrial fields where they are likely to move between people and static obstacles when distributing food services, medical supplies, transporting goods from one location to another and many such applications.
The Development of Online Checklist System in the Practice of Traffic Impact Assessment Report Submission in Malaysia

Traffic Impact Assessment is a process to assess the traffic impacts generated from a proposed development so that proper mitigation measures can be proposed to reduce those impacts in order to maintain the road safety.TIA reports are used by the authorities, consultant and developers to make critical land use and planning decision on the feasibility of the development planning application with regard to the traffic and transportation issues.In practice, the lack of standardized procedure causes TIA reporting varies with the level of knowledge of the practitioners and the lack of cooperation resulted in the institutionalisation in major cities.This study developed an online checklist system to overcome those issues by reducing the fragmentation in the management of TIA report submissions.This system enables consultants and developers to fulfil the requirements of TIA report based on the gazetted guidelines with prerequisite checklist in the system and allows the authority to assess multiple report from different projects within the 14 days period.The system is verified with information success model and validated by expert panel using Delphi's method.The expert panel is satisfied with the system functionality in meeting their requirements to effectively manage the report submissions.
ANALISIS PENENTUAN HAMBATAN PEMBELAJARAN DARING DENGAN METODE ALGORITMA K-MEANS CLUSTERING (STUDI KASUS : SMK YASPIM GEGERBITUNG)

Since the increase in Covid-19 in Indonesia, many new policies have been made by the government in prevention efforts. One of them is in the field of education through the Circular of the Ministry of Education and Culture No. 3692/MPK.A/HK/2020 concerning "Online Learning from home in the context of preventing the spread of coronavirus disease (Covid -19)", YASPIM Vocational School as one of the institutions at the lowest level, must respond and obey the circular letter from the Ministry of Education and Culture. According to the principal, namely Mr. Rosad Furqon, S.Ag., M.Pd, the process of online learning activities has not been maximized, especially in supporting learning facilities because the parents of students who attend school in this area are mostly middle-income, so not all students have sufficient supporting equipment. for online learning, in certain areas there are still signal problems, and teachers also complain about the declining achievement of student learning outcomes. To make it easier for schools and the government to take action in an effort to support the process of online teaching and learning activities, it is necessary for researchers to contribute ideas to determine the level of barriers to online learning, which are made into 2 clusters, namely a low cluster and a high cluster. In this study, researchers analyzed the level of barriers to online learning at YASPIM Vocational School by using the k-means clustering algorithm, which is a research field in analysis and data mining. In this algorithm, the grouping technique is based on the similarity of data that does not have any reference (unsupervised). However, it will divide the entire data into groups or have the same resemblance. Basically, this algorithm calculates the distance between each data center and the data center (centroid) to measure the similarity of the data. The results of this study obtained 10 low cluster classes, and 5 high cluster classes on online learning barriers at YASPIM Gegerbitung Vocational School.&#x0D;
The Effects of the Local Culture Status and an Individual Cultural Capacity on Cultural Participation: Moderated Mediation Effect of Growth Mindset

This study was done to investigate the moderating effect of growth mindset on the mediating effect of individual cultural capacity on relationship between local culture status and cultural participation. The subjects of this study were 229 employees of 25 workplaces in Daejeon, 2 metropolitan cities and the Chungnam province. The collected data were analyzed using correlation analysis, frequency analysis, and moderating mediation effect by SPSS and SPSS PROCESS macro. The main results are as follows. Local culture status, cultural capacity and cultural participation showed a significant positive correlation. However, growth mindset showed an otherwise negative correlation with local culture status, and did not show a significant correlation with cultural participation. Second, local culture status had a statistically significant effect on cultural capacity, and cultural capacity had a statistically significant effect on cultural participation. Therefore, the indirect effect of cultural capacity was verified. Third, the effect of moderated mediation on a path from local culture status to cultural participation via cultural capacity, was considered to be significant in low and middle groups of growth mindset. Based on the results of this study, we discussed policy measures to encourage active participation of local residents.
Extraction of Relying Factors to be Diabetic in Pregnant Women using Attribute Mutual Information

Since a decade research over sentiment analysis and opinion mining was evolving slowing and emerging widely with greater perspectives and objectives. Sentiment analysis is an important task in order to gain insights over the huge amounts of opinions that are generated on a daily basis. This analysis relies on the opinions made by the individuals. These opinions are text, may be positive or negative or a phrase which gives significance to the context. Also these opinions have the power of expressing the context besides drags the attention of new folks. Expressing such opinions ranges from documents level, to the sentence level, to phrase level, to word level and to special symbol level. All these opinion types are labelled with common name Sentiment Analysis. Sentiment Analysis is health care is evolving narrowly with wider research strings. This paper mainly focuses in identifying Sentiments in health care. These sentiments can be medical test values which may be numeric and nominal; sometimes in text too. Such sentiments are identified with pre-fragmentation of data set and Pointwise Mutual Information measure. To accomplish this data of hypertensive pregnant women is considered.
A Hybrid P2P Network-Based Remote Treatment SaaS Cloud Computing

Cloud Computing has emerged as a new model for managing and using IT systems that has become a key topic in the field. The technology consists of deporting to remote servers the treatments, storage and management of data usually performed locally in order to access it as a service. Having so many opportunities also costs a lot in terms of infrastructure. The idea is to create a Cloud without infrastructure for providing to clients services in software as a service "SaaS" form. The solution consists of using a hybrid P2P network as an infrastructure for our Cloud. Cloud services are initially offered by the Cloud but hosted and executed through P2P network peers. The realized prototype and simulation results (with PeerSim) are encouraging and prove that a distributed and dynamic Cloud architecture based on a peer-to-peer network can be a reliable solution to infrastructure issues.
Earthquake Detection and Warning System for Automatic Cut-Off of Electricity and Gas Supply Lines for Safety Measures

The project aims at designing an earthquake monitoring and warning system that is capable of detecting earthquakes as well as warning people to take necessary precautions. The designed system will not only try to save human lives, but will also store the data for later use by professionals working at this sector. India is a country with a high frequency of earthquakes. Since the country lies at the junction of three tectonic plates, the intensity of earthquakes felt in this region is moderate. But surprisingly, the number of deaths and financial loss in this region by earthquakes is not due to building crashes or being crushed under homes. Rather, major reasons of losses are due to indirect effects such as induction of fear, as well as fire induced from a cracked gas line or faulty electrical transmission line damaged by earthquakes. Hence, a low cost automatic microcontroller based system has been designed and implemented using low cost locally sourced electronic components, which senses earthquakes and gas leaks through accelerometer and gas sensor respectively. The microcontroller operates a relay and a motor that cuts off electricity and gas supplies respectively during the event of an earthquake, helping to prevent associated potential disasters.
The Classification with Respect to Strobe Artifacts

An algorithm for estimating strobe effects on raster images is given. The algorithm is based on image segmentation in OpenCV C ++ using the Canny detector, for which its parameters are selected. The first group of parameters refers to the case when the selection of contours is carried out most fully. In the second case, the outline se-lection area is per-formed for the main part of the image. The parameters of the Canny detector are determined on the basis of a calcula-tion of the average bright-ness of the halftone image and its transformed version. As a result, two binary imag-es are compared, and a conclusion is made about the presence of strobe artifacts or their level in the image under study
Adaptive Finite-Time Convergence Fuzzy ARXLaguerre System Estimation

Convergence speed for system identification and estimation is a popular topic for determining the kinematics and dynamic identification/estimation of the parameters of robot manipulators.In this paper, adaptive fuzzy inverse dynamic system estimation is used to improve robust modeling, especially for a serial links robot manipulator.The Lyapunov technique is used to analyze the convergence rate of the tracking error and increase the accuracy response of the parameter estimation.Performance of robot estimation is conducted, and the results show fast convergence of the proposed finite time technique for a 6-DOF robot manipulator.
Integrating and Accessing University Information APIs Using Natural Language ProcessingTools

Attending or working at a university requires students and faculty to manage a large amount of information to be successful. Both school administration and academic challenges have requirements to be met. One solution to this problem is to provide a virtual assistant which gives the required information to students and faculty. In this work, a virtual assistant that can completely understand conversational English and provide any needed information has been created. Talking to a virtual assistant to get the information is more convenient than the conventional way of doing it. Getting information from the virtual assistant does not require typing or browsing or any type of human interventions, which makes it more time-efficient and accessible. This solution has been tried in a private environment with a small scope at the University of St. Thomas and the results have been encouraging. Sixty percent (60%) of the users believe the assistant is very useful and the remainder finds it moderately useful.
AN ENHANCED CRYPTO ALGORITHM FORSECURE DATA STORAGE USING AES ALGORITHM

Are data-security & data-integrity during existence of a challenger.Based on data-security needs and datathreats implicated different crypto-graphic technologies which similar to symmetric-key or public-key cryptography which used while transportation and data-storage.It is common knowledge that countless professionals continue to access the cloud for various requirements and from the point of view of absolute security of the cloud computing that needs to be insulated from exogenous threats to the data involved, a process of encoding using the Enhanced Advanced Encryption Standard (CAES) to protect the data before its release in the cloud becomes a golden standard of protocol now to safeguard the data.
SLIS Director's Report

News and updates from Southern Miss School of Library and Information Science Director, Dr. Teresa Welsh.
Faktor-Faktor yang Memengaruhi Jalur Karir di Bidang Akuntansi

ABSTRACTThis research was aimed at analyzing and examining what factors influenced students in Indonesia in choosing their career field in accounting including intrinsic motivation, extrinsic motivation, influence of third parties, and career exposure. This research was conducted towards S2 students of Accounting at State Universities (PTN) in Indonesia. The study used convenience sampling technique based on which the S2 students of Accounting chosen were from 28 State Universities (PTN) in Indonesia. The data were collected through an online questionnaire; then the data were analyzed thorough SPSS program with the analysis test of multiple linear regression. The results showed that the intrinsic motivation and career exposure influenced career fields in accounting, while the extrinsic and influence of third parties did not influence career fields in accounting&#x0D; ABSTRAKPenelitian ini bertujuan untuk menguji dan menganalisis faktor-faktor apa saja yang memengaruhi mahasiswa di Indonesia untuk memilih jalur karir di bidang akuntansi meliputi faktor motivasi intrinsik, motivasi ekstrinsik, pengaruh pihak ketiga, dan eksposur karir. Penelitian ini dilakukan kepada mahasiswa S2 Akuntansi di Perguruan Tinggi Negeri (PTN) di Indonesia. Penelitian menggunakan convenience sampling, sampel dalam penelitian ini adalah mahasiswa S2 Akuntansi di 28 Perguruan Tinggi Negeri (PTN) di Indonesia. Metode pengumpulan data menggunakan kuesioner online yang kemudian data dianalisis dengan SPSS dengan uji analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa motivasi intrinsik dan eksposur karir berpengaruh terhadap jalur karir di bidang akuntansi, sedangkan motivasi ekstrinsik dan pengaruh pihak ketiga tidak berpengaruh terhadap jalur karir di bidang akuntansi.
Content Based Image Retrieval using Feature Extraction Technique

Now days the image processing can be used in various areas such as in Agriculture, in Health care system also for security purpose. In case of Crime investigation the image processing can be used to identify the particular suspect from an available dataset for that purpose an image retrieval technique is presented in this paper. For image retrieval number of techniques is available. In earlier days Block Truncation Coding is used but due its some disadvantage feature extraction method is used. Using DDBTC technique two features are derived. The first feature as Color Co-occurrence Features (CCF) obtained using color quantizes features such as Bit Pattern Feature (BPF) is derived from Bitmap image. The five different distance metrics are used to measure the similarity between two images. The simulated results shows proposed Technique can shows the better result in the form of Average Precision rate (APR) and Average Recall Rate (ARR) as compared to other techniques.
Modelling time decay in uncertain implication rules of evidence theory with a focus on cyber attacks

Key to a successful organisation is the ability of its cyber security to respond in a timely manner.Hence, speed with regards to having up-to-date knowledge of the system state is paramount.However, this knowledge may not always be perfect or complete.A way of quantifying this uncertainty is through the use of a reasoning under uncertainty framework.One such framework is the theory of belief functions such as evidence theory or Dempster-Shafer theory.It has connections to other frameworks such as probability, possibility and imprecise probability theories.But, in cyber security, uncertainty modeling is not enough.A ubiquitous problem present in this domain is in modeling cyber attacks so that causal statements that follow a kill chain (a well-known paradigm to describe the phases of a cyber attack) can be accurately represented.One way this could be done is through implication rules.More precisely, a law of implication is a type of relationship between two statements or sentences.Hence, Dempster-Shafer Theory which incorporates implications rules with respect to time would be desirable in the cyber domain as a way to model cyber attacks.The aim of this paper is to be able to model the different stages of a cyber attack using Dempster-Shafer Theory that also incorporates a time parameter.Examples are also provided to illustrate the novelty of this work.
Towards Trusting Autonomous Systems

© 2018, Springer International Publishing AG, part of Springer Nature. Autonomous systems are rapidly transitioning from labs into our lives. A crucial question concerns trust: in what situations will we (appropriately) trust such systems? This paper proposes three necessary prerequisites for trust. The three prerequisites are defined, motivated, and related to each other. We then consider how to realise the prerequisites. This paper aims to articulate a research agenda, and although it provides suggestions for approaches to take and directions for future work, it contains more questions than answers.
Investigating the Difficulties and Strategies of The EFL Students in Translating Indonesian English

The aims of this study were to investigate the difficulties encountered by the EFL students at English Department of IAIN Langsa, as well as the strategies they utilised in translating Indonesian text into English. This research employed a qualitative approach with the technique applied purposive sampling. The researcher had ten sixth-semester students of English Education majors at IAIN Langsa as the subjects. Documentation and interview were employed as the instruments to collect data. Based on the outcomes of the two data, demonstrated that all of the students experienced difficulties in translating the text. The difficulties they encountered were related to: 1) Vocabularies particularly regarding religious terms, 2) Grammar, (3) Equivalence, and (4) problematic assorting the long sentence. They revealed that the lack of knowledge and seldom employing the certain vocabularies like religious terms in daily life that caused them felt difficult in translating the text. Meanwhile, the output of the interview expressed that the students employed three strategies to superintend the translation difficulties, namely : 1) Natural Borrowing Strategy, (2). Adaptation Strategy, and (3). Literal Translation Strategy. The students gained that these strategies were appropriate and simple for them to apply in overcoming difficulties during the translation process.
MORAL ORIENTATIONS OF STUDENTS᾿ PROFESSIONAL FORMATION

Abstract. The article considers the moral sphere of the individual as a necessary condition for the existence and effective functioning of man in society. It is emphasized that moral norms regulate interpersonal interaction, which is associated with professional activities, and morality is the basis for effective interaction between people. Moral guidelines as a basis of maturity from the standpoint of the system-subject approach are analyzed. It is noted that moral values are formed on the basis of human needs, and value in general is formed in relation to the object that is able to meet human needs. Moral judgments are seen as a process of social decision-making based on numerous factors. The generalization of the views of researchers dealing with the moral sphere of personality, allowed within the concept of moral development of personality, to distinguish three stages of moral development of the individual: pre-moral, conventional (guided by most members of society) and post-conventional, which requires the following factors: social contacts, high level intelligence, independence from authorities. It is determined that morality is an individual property of the individual, based on the norms of morality. For the formation of morality it necessary to determine the following basic foundations of morality: biological, spiritual, social, pragmatic. It is established that the highest level of personal and professional self-determination is the moral, value-semantic level, which has a great influence on professional self-determination and professional development of a person. It is emphasized that moral guidelines as a tool of social regulation are a necessary prerequisite and resource for successful professional development and play a crucial role in the course of professional development and the effectiveness of professional activity. It is noted that the key stage of professional development in the study of moral guidelines is the acquisition of higher education. It was found that in the process of learning in adolescents, moral guidelines reflect the general ethical values accepted in society and serve as a basis for the formation of specific professional values adopted in the profession, which is mastered by the student.