Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Inventori Pada CV.Tri Manunggal Berbasis Website

SMKN 1 Ende has a library as one of the facilities provided by the school to support student learning activities. The existence of a library is very important in increasing knowledge for students in schools. However, based on the results of an interview conducted with one of the librarians of SMKN 1 Ende, currently, school library data management is still using manual methods such as recording visitor member data, book data, borrowing data, and returning books in the ledger. As a result, it is inefficient and has a very big risk of mistakenly recording data on borrowing and returning books and other problems that often occur, namely when searching for data on borrowing and returning books where librarians have to reopen existing files so that it takes time. long enough. To overcome the existing problems, it is necessary to make a school library information system that will be tailored to the needs of the library. Based on the description of the problems in the library of SMKN 1 Ende, the theme that will be discussed by the researcher is "Library Information System at SMKN 1 Ende is Website Based". With this system, it can help the data management process by library officers in carrying out their duties such as collecting data on library visitor members, data collection of books, data collection of borrowing transactions, and returning books so that officers complete their duties quickly.
Implementasi Metode K-Medoids Untuk Masalah Intrusion Detection System Menggunakan Bahasa Pemrograman Matlab

Based on data from the National Cyber And Crypto Agency (BSSN) of the Republic of Indonesia from 2018 to 2021, the threat of cyber attacks continues to experience a significant increase. In 2021, a significant change that is likely to be faced is with the emergence of new smart devices, which are more than just end-users and remotely connected networked devices. Surely, gives it the attention of all parties. There are many types of cyberattacks including Malware, Phishing, Ransomeware, etc. IDS (Intrusion Detection System) is a method that can detect suspicious activity in a system or network. Implementation of the Fuzzy K-Medoids method by using the Matlab programming language that retrieves data from KDDCUP’99 which has been normalized. The data used are normal data and anomaly attack data which are categorized as DoS, Probe, R2L, and U2R. From the research conducted the accuracy percentage is around 60-89% with three types of data preprocessing
Factors of Employee Engagement and Organizational Development: Are they Linked?

The paper’s objective is investigating the relationships between employee engagement factors and organisational development in industrial firms in Jordan. And it aims to address the main question of the study which is Do employee engagement factors influence on organizational development. The study proposed a model that suggests that a significant employee engagement correlated with organizational development. The study used quantitative method approach and survey questionnaire to achieve its goals. The study used regression analysis to analyse the suggested conceptual framework due to the effective use of this method to test the hypotheses of the study. The study’s sample was around 250 industrial firms employees represent different private firms operating in industrial zone in Sahab city (Jordan) with a response rate of 88.4 % (221 employees) Pearson correlation and linear regression as well (Confirmatory Factor Analysis) CFA was also used to test the relationships among the variables of the study. The results revealed that the factors of engagement implemented in the organizations had achieved level of development. The findings also found that there were great relationships between employee engagement factors and organisational development. This findings have important implications for management in order to enhance its development, specifically in connection to human resource development and employee’s motivation. The study contributes to the academic studies that examined a model consisted of the factors of employee engagement and outcomes.
Studi Literatur Human Activity Recognition (HAR) Menggunakan Sensor Inersia

Human activity recognition (HAR) is one of the topics that is being widely researched because of its diverse implementation in various fields such as health, construction, and UI / UX. As MEMS (Micro Electro Mechanical Systems) evolves, HAR data acquisition can be done more easily and efficiently using inertial sensors. Inertial sensor data processing for HAR requires a series of processes and a variety of techniques. This literature study aims to summarize the various approaches that have been used in existing research in building the HAR model. Published articles are collected from ScienceDirect, IEEE Xplore, and MDPI over the past five years (2017-2021). From the 38 studies identified, information extracted are the overview of the areas of HAR implementation, data acquisition, public datasets, pre-process methods, feature extraction approaches, feature selection methods, classification models, training scenarios, model performance, and research challenges in this topic. The analysis showed that there is still room to improve the performance of the HAR model. Therefore, future research on the topic of HAR using inertial sensors can focus on extracting and selecting more optimal features, considering the robustness level of the model, increasing the complexity of classified activities, and balancing accuracy with computation time.&#x0D;
Text Summary Generation Techniques

Pattern Recognition is pertinent field in autonomous text summarization for extraction of features from relative and non relative text documents. Here we provide empirical evidence that the method of Deep learning using RNN outperforms various techniques in terms of speed as well as metrics in abstractive summarization of multi-modal documents. We performed observational analysis on over 8 different techniques documented.
Incidental Vocabulary Learning Opportunities in the Reading Comprehension Passages

This paper reports on research into vocabulary learning opportunities provided in the reading comprehension passages. It is a quantitative study with a corpus analysis using AntWordProfiler program. Data was collected from reading comprehension passages involving all words in the passages. The results show that the reading comprehension passages provided a great opportunity to deepen knowledge of first 1,000 most frequent words. However, they did not provide good opportunities to develop knowledge of second 1,000 most frequent words, academic words and unlisted words well. This is because most of the word families found in the reading comprehension passages occurred once and less than five times. In conclusion, the reading comprehension passages provided opportunities to learn first 1,000 most frequent words and lacked the opportunities for second 1,000 most frequent words, academic words and unlisted words.
THE GENDER BASED STUDY ON THE TYPES OF SPEECH FUNCTIONS OF INSTRUCTORS IN CLASS

A gender based study on speech functions of instructors needs the details.This study was to investigate the types of speech function made by male and female lecturers in the classroom interactions.The study was conducted by using single case study.The data of this study were the clauses of male and female lecturers in the classroom interactions which realized in mood.The data sources of this study were 5 male lecturers and 5 female lecturers who teach in the English Department in the University of Muslim Nusantara Al-Washliyah (UMN AW) Medan.The data were collected through audio recording and observation.The technique of data analysis was interactive model.The results of this study revealed that the types of speech functions of male and female lecturers in the classroom were not only four basic speech functions they are statement , question, command, offer, but also an alternative response that is acceptance or minor.The statement was more often used by male lecturer in the classroom interactions while the question was more often used by female lecturer in the classroom interactions.A new type of speech function minor (type of acceptance) was used only by female lecturers.Indonesian culture and gender are responsible for differences.©2019.
Effect of Problem-Based Learning Strategy to Students’ Ability in Writing Argumentative Text at Muhammadiyah University of Bengkulu

The question posted in this study was “Did the Problem Based – Learning Strategy give effect to the students’ ability in writing argumentative text in English Study Program of Muhammadiyah University of Bengkulu?”. The aim of this study was to examine whether problem-based learning strategies affect students' ability to write argumentative text in English Study Program of Muhammadiyah University of Bengkulu. The methodology of this research was experimental research. With 146 students, the samples for this study consisted of two classes. Class B has 20 students and class C 20 students. The researchers took courses B and C because they had similar subject-writing skills. The researcher took class B and C because they have similar skill in writing I subject. The data were obtained from the pre-test before the treatment in three meetings and post-test after the treatment by using Problem-Based Learning Strategy in experimental class. Students’ writing product is assessed by using analytical scoring rubric. The last step was the researcher discussed and concluded the data. The result of this research showed that Problem Based – Learning Strategy can improve students' writing skills. Calculated using T-test formula, it was found that t-count is higher than t-table (2.9&gt;2.0024) and the average score of the two classes was increased, the experimental class got increasing as much as 38.7 points, while in control class indicate the increasing as much as 3.8 points. So, it can be concluded that this strategy gave a positive effect to the student’s ability in writing argumentative text.
Peningkatan Kemampuan Bahasa Anak Melalui Metode Bercerita Dengan Media Diorama

The purpose of this research was to determine the process of implementation of learning activities using storytelling methods with dioramas media in improving the language skills of children in group B and to know the extent of the results of improving children's language skills through storytelling methods with dioramas in group B. The method used in this research is an action research which refers to the model of a Classroom Action Research Kemmis and Mc. Taggart consist of four phase: planning, action, observation and reflection. This research consist of two cycles, each cycle consist of 6 times in actions. Analysis of the data used quantitative and qualitative approaches. Analysis of quantitative data used descriptive statistics that compare the results obtained from the first cycle and the second cycle. While the analysis of qualitative data used analyzing data from the field notes and interviews during the research by steps of data reduction, data display and data verification. The results showed an improvement in language skills through storytelling methods with dioramas, as evidenced by the average pre-action language proficiency score of children by 39%. Then increased in cycle I by 20% to 59%. Furthermore, from cycle I to cycle II children's language skills increased by 30% from 59% to 89%. So that the total improvement of children's language skills ranging from pre-action, cycle I to cycle II 39% which is 59% to 89%.
FORESIGHT AS A METHOD FOR DESIGNING THE EDUCATIONAL ENVIRONMENT OF A UNIVERSITY

The article presents a feature of the process designing the educational environment of a university, an innovative and effective method which is the Foresight- method.This method allows you to identify trends and conditioning factors and prepare the future of educational process of the university based on possible scenarios.
СТИХИЙНОЕ И ЦЕЛЕНАПРАВЛЕННОЕ РАЗВИТИЕ СПОСОБНОСТЕЙ И УСПЕШНОСТЬ В НЕСТАНДАРТНЫХ УСЛОВИЯХ ДЕЯТЕЛЬНОСТИ

This article is devoted to the problem of professional abilities from the position of structural-functional approach. The following questions are considered: how professional abilities provide the productivity of activity; how the development of professional skills is carried out; what is the dependence of the specific structure of abilities and spontaneous and purposeful development in non-standard activity conditions. The study was conducted on a sample of 36 qualified railway drivers using a specialized simulator. The psychological analysis of the activity revealed seven abilities ensuring the implementation of the activity. Based on empirical data, it is shown that groups with spontaneous and purposeful development of abilities have statistically significant differences in the productivity of activity that were carried out in non-standard conditions and requirements. And these differences are in favor of the group with spontaneous development of abilities. It was proved that various structures of abilities are formed depending on their spontaneous and purposeful development, and that these structures of abilities provide the development of a new way of action by the subject in individual measure of integration.
The relationship between apolipoprotein e4 and bloodbrain barrier dysfunction in Alzheimer Disease

Background: Alzheimer disease(AD) is a progressive neurodegenerative dysfunction with a cognitive deficit and amyloid-β(Aβ) accumulation. That said, the apolipoprotein E (ApoE) has 4 variants, with E4 being linked to decreased cerebral blood flow and fragile blood-brain barrier (BBB). In this way, the BBB has an important role in removing substances that are toxic to the brain such as βA protein. Objective: Demonstrate the relationship of ApoE4 and BBB dysfunction in the pathophysiology of AD. Methods: Bibliographic review using the CAPES journals portal, in the last 5 years. Results: After analyzing the studies, it is inferred that in cases of homozygosity for ApoE4 in relation to ApoE3 there is a 15 fold increased chance of developing AD and 3 fold heterozygosity. It is concluded that the mechanism that probably explain is related to the secretion of ApoE by the pericytes that lining brain vessels in the BBB, whilst the subtype E4 exacerbates cyclophilinA, which promotes the activation of metalloproteinase-9, causing junctions rupture between adjacent endothelial cells, promoting the loss of βA homeostasis. Conclusion: It can be inferred, that ApoE has great importance in the regulation of the integrity of BBB’s integrity, is undeniable that such protein has a significant contribution in the pathophysiology of AD, hereupon, it’s urgent that these studies need to be continued to develop new therapies in individuals who express ApoE4.
Research on Anomaly Suppression Correlation Filtering Algorithm

Aiming at the problems of target occlusion, illumination change, and fast motion in target tracking, an anomaly suppression correlation filtering algorithm is proposed. The histogram of oriented gradient (HOG) feature and color name (CN) feature are extracted to construct the target appearance model, and an abnormal suppression correlation filter is constructed to suppress sudden changes in the filter response graph. The alternating direction method of multipliers (ADMM) method is used to speed up the calculation of the filter. A scale filter is added in the article to solve the problem of inaccurate tracking caused by a single scale. In the model update process, the three-layer rotating circle memory model is used to update, which improves the tracking ability of the algorithm. It is better to update the target model in the scene where the target is occluded. The proposed algorithm and BACF, KCC, KCF, MKCFup, ARCF are tested in the OTB50, OTB100, UAV123, TC128 experimental data sets. The results show that the visual tracking algorithm proposed in the article has a high success rate and accuracy, and has certain research value.
Dynamic gesture recognition using static images with MHI and CNN

In this paper, we explain the effectiveness of the dynamic gesture recognition method using static images with Motion History Image (MHI) and an object detection algorithm. As the object detection algorithm, we use YOLOv3 in this study. For efficient learning and recognition of the dynamic gesture with reciprocating motion, the time-domain division of the motion is used. Two experiments were conducted to evaluate the effectiveness of the proposed method. In the first experiment, four dynamic gestures ware detected using proposed method, and the confidence score was 97.95%. In the second experiment, we compared the performance of proposed method with other methods. Finally, we confirmed the detection accuracy as good as other methods.
EVALUASI KUALITAS APLIKASI SISTEM INFORMASI MANAJEMEN KEIMIGRASIAN (SIMKIM) VERSI 2.0 BERBASIS WEB MENGGUNAKAN METODE HUMAN ORGANIZATION TECHNOLOGY FIT (Studi Kasus pada Kantor Imigrasi)

Immigration office one of the organization implementing information system integration and automation called the immigration management information system (SIMKIM) Version 2.0 for passport services. An evaluation need to find how the system is implemented, the level of success, as far as to which the system contributes to the organizations that use it. SIMKIM Version 2.0 application have three main component namely human organization and technology. The result of the evaluation indicate technology component include system quality getting value 3,24 (good), information quality getting value 3,09 (good), and service quality getting value 3,21 (good). Human component including system user getting value 3,18 (good), user satisfaction getting value 3,07 (good), and the benefits getting value 3,15 (good), and organization structure getting value 3,22 (good). The overall component SIMKIM Version 2.0 implementation obtained value of 3,16 good interpretation based on HOT Fit method .
ЗАСИЛЕНА, МОДНА УПОТРЕБА НА ВМЪКНАТО ДА [НАИСТИНА Е ТАКА] / A NEW FASHIONABLE USE OF PARENTHETICAL ДА [НАИСТИНА Е ТАКА] (YES [INDEED, THIS IS SO])

The goal of this notice is to draw the attention to a rhetorical device, currently gaining some popularity in public speech. It consists of pre-posing (i) da [‘(and) yes’] as a separate intonation group before a clause or its repetition before a series of clauses, with the pragmatic purpose of making the listener believe in what follows [‘yes indeed, this is so’] and in some cases maintaining links with what has already been said. Keywords: functions of da, emphasis, metalinguistic use, discourse, modality, pragmatics
Art and Culture Learning Innovation Study at SMP Negeri 26 Padang

The teacher's role in developing student creativity is seen as inseparable from student learning success.Teacher no longer functions as the center of learning, but the students who become the center of learning, various consequences accompany this approach.Arts and culture subjects consist of two sub topics, namely visual arts and music.Sometimes only one teacher who brings this two material alone.So that the material for one of this lesson is not delivered optimally.Even though in reality the learning design has been successfully completed well, when it is implemented in the field there are things that are not in accordance with what was planned.Thus, it is considered important that teachers must apply suitable and reliable models, strategies and methods so that learning objectives can be achieved effectively and efficiently.Based on the evaluation that was carried out at SMP Negeri 26 Padang some time ago, the innovation that was deemed suitable to be applied in schools was contextual learning innovation, followed by the implementation of the PAILKEM learning strategy.Based on the results of the implementation of learning, it is proven that the PAILKEM strategy is practically used for subjects that combine theory and practice at the same time.
Driving Risk-Aversive Motion Planning in Off-Road Environment

Incremental sampling-based motion-planning algorithms, such as the rapidly-exploring random tree (RRT), are popular in motion planning because of their ability to proffer rapid solutions. Driving safety is the ability of a vehicle to prevent overturning and collision. However, the RRT algorithms neither involve any safety mechanism, nor consider any terrain measurement information of the environment, there is no assurance on the driving safety of the solutions. Therefore, obtaining an efficient trajectory while considering driving safety is a dilemma for intelligent vehicles in unstructured off-road environments. This study presents a potential-field based RRT* motion-planning algorithm for vehicle risk aversion. The algorithm constructs a configuration space using the potential field, which identifies risk range around obstacles and off-road terrains. A random-exploring tree grows through sampling inside the potential-field space with the consideration of nonholonomic constraints of the vehicles. A cost function that trades off driving safety and efficiency is used as a priority-sequence mechanism to get an optimized planning solution. A heuristic sampling method is employed to obtain a fast solution to the initial trajectory, and the trajectory can be optimized by decreasing the cost in the following sampling process thereafter. We tested the algorithm on scenarios to verify its effectiveness. Simulation results, under different scenarios, demonstrate that the proposed algorithm improves vehicles’ motion planning performance.
Biomechanics sensor nodes for body tracking: a development solution for virtual reality interaction

In recent years virtual reality has become increasingly present in areas such as Healthcare, for example, in supporting the neuromotor rehabilitation process of patients. Virtual reality in the health area has been used in various ways. It is a tool to encourage patients to increase their commitment to the rehabilitation sessions. However, despite the hardware and software advances in recent years, there is still a lack of tools to facilitate new virtual reality applications development, especially those using body tracking sensors. This article presents the BSNAsset, a development solution that facilitates new virtual reality applications that use body tracking sensors, such as the Biomechanics Sensor Nodes.