Reviewerly/exHarmony huggingface dataset:
Path-Enhanced Multi-hop Graph Attention Network for Aspect-based Sentiment Analysis

Aspect-based Sentiment Analysis is a task aims to identify the sentiment polarities of given aspects. The core of this task consists of distinguish and understand in complex sentences. Most recent work used attention-based neural network models to extract information of words and their connection. However, over-smoothing often occurs due to the complexity of the language. In this paper, we improve this problem by means of path enhancement. We reconstruct the dependency tree to fit for the model. Then, we propose a path-enhanced multi-hop graph attention network model. We conduct experiments on the SemEval 2014 dataset, and the experimental results show that our method improves the graph attention network significantly.
PHOTOGRAPHY WITH NANODRONE

Developments and modifications play a vital role in the technological advancements. Since last few years the aerial vehicles or drones have been a trending topic considering photography. Because of its wide range of applications and the day to day advancements in their feature drones have gained more popularity. In this paper, you will see how to build a Photography with nano drone, which can able to capture photo, video, flip image this application helps to make the rescuing process easy and safe, drones are implemented to extinguish the fire, disaster management, Agriculture, Aerial hotography, Movie production, measuring the scale of natural disaster, getting a glimpse of the unknown lands etc.
The Effect of Imagery and Corrective Exercises on Model of Activity of Selected Pelvic Muscles and the Lumbar Hyper Extension Syndrome

Introduction: Lumbar hyper extension syndrome is the second most common category of lumbar syndromes that reduces the height of the disc and narrows the intervertebral foramen in the lumbar vertebrae.The purpose of this study was the effect of exercises (imagery and corrective) on the degree of lumbar hyper extension and the activity of electromyography of the pelvic muscles.Methods: Twenty-four women with the lumbar hyper extension syndrome in the age range of 30-40 years, non-athlete and without injury and surgery in the lumbar region were divided into two groups of combined and corrective exercises.The groups trained for six weeks and three times a week.Lumbar lordosis, abdominal muscle and gluteus maximus strength and activity of electromyography of selected pelvic muscles were measured before and after exercises.Results: Paired t-test showed that the variables of lumbar lordosis (combined group: P=0.00, corrective group: P=0.00) were significantly reduced between the two training groups in the post-test compared to the pre-test and the strength of gluteus (combined group: P=0.00, corrective group: P=0.01) and abdominal muscles (combined group: P=0.00, corrective group: P=0.00) in the two groups in the posttest was significantly increased compared to the pre-test.Gluteus maximus (P=0.01) and abdominis transfer muscle activity rates (P=0.03) in the combined group (imagery and corrective exercises) increased significantly in the post-test compared to the pre-test and gluteus maximus muscle activity rate (P=0.03) in the corrective group increased significantly in the post-test compared to the pre-test.The activity rate of lumbar erector spine (combined group: P=0.00, corrective group: P=0.02) and rectus femoris muscles (combined group: P=0.01, corrective group: P=0.00) decreased significantly between the two groups in the post-test compared to the pretest.Unpaired t-test also showed that there was no significant difference between the two training methods (P ≥ 0.05).Conclusions: The findings showed imagery corrective exercises have been effective in reducing lumbar hyper extension dysfunction by altering the lumbo -pelvic muscles activity.It is suggested to use imagery corrective exercises which is a different program for reducing increased lumbar lordosis by altering the activity of lumbo-pelvic muscles.
The Correlation Between Creative Listening and Storytelling Skill

Listening and speaking are important for everyone, including junior high school students. This encourages researchers to prove that there is a correlation between creative listening and storytelling skill in grade VII students of SMP Negeri 2 Mattiro Bulu. The sample in this study used a random sampling technique. The sample used in this research is class VII.1 SMP Negeri 2 Mattiro Bulu as many as 24 people. This research uses a quantitative approach with associative research type. This research used descriptive test instruments and oral tests. The test results were analyzed using the student skill category table. Hypothesis testing uses the Product Moment correlation statistical test. Based on the results of data analysis, creative listening skills are categorized as good with an average value of 72.29 and the skill to tell stories is categorized as good with an average value of 74.17. From the results of the correlation analysis between creative listening skills and storytelling skill, the r count correlation value is 0.965 which is in the very strong category with r table of 0.404. Thus, r coun t&gt; r table, it is stated that the truth is accepted in the sense that there is a correlation between creative listening skill and speaking skill in grade VII.1 students of SMP Negeri 2 Mattiro Bulu.
SISTEM INFORMASI PENGINGAT KONTRAK KARYAWAN AEROFOOD ACS MENGGUNAKAN SMS GATEWAY (STUDI KASUS PADA KARYAWAN KONTRAK PT AEROFOOD INDONESIA BANDARA INTERNASIONAL SOEKARNO-HATTA, PAJANG, TANGERANG)

Every month PT Aerofood Indonesia has a number of contract employees whose data needs to be managed and the follow-up determined by the HC (Human Capital) Development company. The HC determines the employee concerned for extending his contract or terminating his employment contract. The problem that occurs is the number of contract employees who annually have around 300 employees who need to check the expiration date of the work contract. Checking is still done manually by the HC by checking employee data from stored data files. In this study, an SMS Gateway based reminder information system was developed that can remind HC parties by sending a text message in the form of SMS reminders related to employee data that will be out of contract and send a SMS message to the employee that the contract will expire within one month before the expiry date of the contract, thus system can help the HC in speeding up the file preparation and decision process follow up on related employees.
Assessing the State of the Urban Buildings in Baiji City and their Reconstruction Using Modern Geographical Technologies

Wars, conflicts and disasters in many cities throughout the contemporary history have had negative effects on the urban environment of those cities where disasters occur, whether by man or by nature, as they always cause destruction by causing total or partial damage to all urban buildings and to the lives of the human being himself, after being displaced by homelessness.The results of the research were shown through the analytical approach adopted in assessing the state of the buildings after the war for the city of Baiji and their reconstruction according to the proposed plans to ensure a sound urban environment for the population, it was found that there was serious damage to the buildings, as the buildings suffered very significant damage amounting to approximately (121) 1) Buildings (47.37%) of the total of 2,556 buildings, of which 1,345 were partially damaged (52.62%), as a result of these damages The study developed proposals that speed up the age process and presented some advanced urban scenarios that ensure the sound urban environment of Baiji city using cityEngine 2015.0,programs which is a technology for the urban development.
PENERAPAN APLIKASI PENCARIAN LOKASI BENGKEL DI KOTA BANDAR LAMPUNG ( STUDI KASUS VESPA)

Applications are ready-made programs that can be used to run commands from application users in order to get more accurate results. The search application for the location of the vespa workshop in the city of Bandar Lampung is made to make it easier for users to find workshops. Information on the location of workshops that have been running so far but is less efficient. In finding the location of the Vespa workshop in the city of Bandar Lampung, still using the manual this method takes a long time to find a Vespa workshop in the city of Bandar Lampung. This research uses simple hill climbing method. This research produces what is in accordance with user needs. The search application for the location of the vespa workshop in Bandar Lampung can see the location of the vespa workshop in the city of Bandar Lampung and can search for the address of the vespa workshop with the location of the nearest vespa workshop from the user quickly and easily.
DIGIT RECOGNITION MODEL USING NEURAL NETWORKS A COMPARISON BETWEEN SIGMOID AND SOFTMAX AS NON-LINEAR ACTIVATION FUNCTIONS

This is a comparison between two different digit recognition models, with being almost similar in structure except the last layer of the multi-layered neural network. One model has the Sigmoid function while the other model has the SoftMax function as the last non-linear activation function.
FITUR PEMBUATAN BAHAN AJAR BERUPA HANDOUT DENGAN FRAMEWORK LARAVEL PADA SISTEM INFORMASI PEMBERKASAN PERKULIAHAN BERBASIS WEB

Lampung University is one of the state universities in Lampung Province with a variety of faculties and departments. One of which is the Faculty of Mathematics and Natural Sciences that includes the Department of Computer Science. The Department of Computer Science applies the process of compiling lecture devices into a system. The preparation of lecture equipment cannot be separated from the tools or equipment of teaching materials because they are needed in the learning process of each subject. At this time the process of compiling teaching materials on the web-based lecture filing information system in the Department of Computer Science has not been applied using the system. Therefore, with the addition of the feature of making teaching materials in the form of handouts with the Laravel framework on a web-based lecture filing information system, it is hoped that it can assist lecturers in preparing teaching materials and assist administrators, faculty, and students in finding teaching materials so that they can be printed. The conclusion of this research is that the feature of making teaching materials in the form of handouts with the Laravel framework on a web-based lecture filing information system has been successfully added.
TRANSLATION OF NATURAL LANGUAGE TO CODE: A SURVEY

- Learning to code in a new language takes a lot of time and effort for new as well as seasoned developers. There is a certain language that machines understand and we humans have to learn that language in order for us to communicate with the machine and make it do the things that we desire. To reduce this human-machine barrier of communication researchers have come up with a machine learning solution to translate natural language into code that allows developers to spend more time on logic and architecture rather than the actual instructions given to the machine. This paper surveys the approaches developed by various research scholars to translate natural language into machine understandable code. We analyze these approaches and state their boons and banes so that there is scope for improvement in this domain. This paper aims to give an idea about the various approaches in this domain to budding researchers wanting to contribute in this field.
A Sentiment Analysis Approach for Abusive Content Detection using Improved Dataset

The rapid growth of information and communications technologies has led to the generation of enormous amount of information daily. Consequently, there has been an increased interest in effective data processing. The nature of the information is varied and can in some cases include users&#x2019; emotions and opinions. Faced with this situation, the need of proposing social media monitoring and content filtering is a major asset for the community. The specific case of abusive content is becoming more relevant these recent years leading to the proposition of many models which unfortunately suffer from the unbalanced nature of the dataset used. We propose a sentiment analysis approach which classifies social media posts according to three categories: hate, abusive and neutral. The approach is based on a constructed dataset which reduces unbalancing and improves classification results.
APLIKASI PENCARIAN LETAK GUDANG KOPERASI DENGAN METODE K-MEANS CLUSTER MENGGUNAKAN FRAMEWORK LARAVEL

Multi-cooperative information systems have been developed in 2018 by providing several services, one of which is GIS (geographic information system). GIS on this system displays the locations of existing cooperatives in the form of digital maps. This study develops the GIS service on a multi-cooperative information system into a cooperative warehouse location search using the K-means clustering method. Multi-cooperative information systems with cooperative warehouse location search features were developed using the Laravel 5.5 framework with the waterfall method. Searching the location of cooperative warehouses using the K-means method is useful to assist users in determining the location of warehouses to supply adjacent cooperatives. This system has also been tested using the Blackbox Testing method.
The Impact of Parameters on Semantic Segmentation: A Case Study on the CamVid Dataset

Image segmentation is an important topic of remote sensing image processing. High-resolution remote sensing images contain complex object information. The application of traditional segmentation methods is greatly restricted. Deep learning is suitable for processing remote sensing images due to the complex multi-layer nonlinear transformation characteristics. Many image semantic segmentation methods based on deep learning were proposed, which realizes an end-to-end semantic segmentation workflow. Most of those studies focused on the design of network architectures. In contrast, the impact of parameters on final segmentation accuracy was not fully exploited. In this context, with the CamVid dataset and popular U-Net convolutional neural network and DeeplabV3+, this paper explored the impact of the max Epoch and the initial learning rate on the segmentation results. The study results show that in Deeplab V3+, when the MaxEpochs parameters are different and the InitialLearningRate parameters are the same, the improvement of Global Accuracy is not obvious. When the InitialLearningRate parameters are different and the MaxEpochs parameters are the same, the Global Accuracy has been greatly improved, increasing by about 3&#x0025;. In U-Net, when the MaxEpochs parameters are different and the InitialLearningRate parameters are the same, the Global Accuracy is improved by about 1&#x0025;. When the InitialLearningRate parameters are different and the MaxEpochs parameters are the same, the Global Accuracy is greatly improved, increasing by 24&#x0025;. They can be concluded that the max epochs have slight impact on the final global accuracy, in contrast, the InitialLearningRate has a great impact on the experimental results.
Best of the Blogs Winter 2021

Learn which ECS blogs have been the most popular since the last issue of Interface.
Face of the Team – Diversity, Equity, and Inclusion

Among the many breakthroughs in machine learning, and specifically generative deep learning, trained neural networks can render entirely synthetic, photorealistic faces -- reflecting a deep understanding of face compositions and variability. This deep understanding and rendering power can be harnessed for powerful social commentary about Diversity, Equity, and Inclusion (DEI) in the business landscape, and support A.I.-enabled activism about inequalities in corporate leadership, in venture finance, and the overall success and failure of DEI initiatives. Properly trained generative deep learning models can enable the interpolation of latent space/latent dimensions in facial structures, thus enabling the hybridization of management team facial attributes to depict team diversity in an "averaged" team face. This project leverages state of the art, pre-trained generative face-creation models to support multi-variable interpolation between submitted faces, e.g., gender, race, age. The contribution is to show a powerful new way to track the (non)diversity of powerful management teams.
MORAL VALUES IN THE ENGLISH CHILDREN'S SONG LYRICS

The process of build the character can be done by instilling moral values through messages that can be conveyed by parents through various literary media such as, songs, poems, or fairy tales. this study will describe the moral values of humans who relationship with God, self, and with others. This research will use descriptive qualitative method, it means procedure based on descriptive data in the form of oral or written words from research on subjects who have observed and has the characteristics, the data provided is the original data that have been changed by using systematically method and can be accounted for the truth. The data are used from ten English children's songs with the tittle (1) twinkle little star (2) baa baa black sheep (3) you are my sunshine (4) my daddy is the best (5) Please and thank you (6) sorry, excuse me (7) sick song (8) if you’re happy (9) Johny, Johny yes papa (10) Are we there yet? Moral value from human relationship with God, which is obtained from the lyrics of English children's songs relationship with God is a feeling of gratitude for God's power. The moral value of human relations with oneself, in the English children's songs lyrics conveys ways to cultivate self-confidence, joy, and sincere about what happens in this life. moral value that we can get from human Relations with others in English children's song lyrics teach how to behave well with others, respect, and love for others.
EFL Students' Perceptions towards the Use of MALL to Promote Students' Learning Autonomy

The emergence of internet connections and digital mobile apps has caused a massive integration of Mobile-Assisted Language Learning (MALL) in English language teaching. Learners are fond to use MALL to practice their English proficiency inside and outside the classroom. Moreover, with the assistance of MALL features, learners can enhance their English competence as well as their learning autonomy. In this study, we intend to investigate perceptions of EFL students toward the use of MALL in English learning to promote their learning autonomy. Situated in a private university in Cirebon, this study voluntarily recruited four EFL students who have fulfilled a set of criteria to be involved in interview sessions and self-reflection. They are English students who have positive perceptions on technology acceptance and learning autonomy based on the data of a preliminary study. The findings show that participants perceived the ease of use and the usefulness of MALL applications in English learning. Besides, this study also reveals that participants agreed that MALL can support their learning autonomy outside the classroom. Some implications of the study are discussed further in this paper.
Logistic Regression in Analyzing the Determinants of University Students' Mathematics Performance

Mathematics provides an effective way of building mental discipline, encourages logical reasoning, and plays a crucial role in understanding the contents of other subjects. Mathematics performance is affected by several factors including grade, social economic status, background and many more. The aim of this study is to investigate the factors which are related to students’ mathematics performance and to identify the significant factors which affect the students’ mathematics performance of MAT133 course. This study was conducted in UiTM Negeri Sembilan, Kuala Pilah campus. 480 students were selected from various programs who had registered Pre-Calculus course (MAT133). This study employed Logistic regression analysis to test the relationship between predictor variables and the dichotomous outcome variable which is categorized as low or high achiever in MAT 133 course. About 55.7% of the students are high achiever who achieved higher than 70% marks in MAT133. The research findings reveal that students’ intake on July (OR = 2.941), male students (OR = 0.315), students who scored A+, A and A- in Modern Mathematics in SPM exam (OR = 0.340), students who had B+ and B- in Additional Mathematics in SPM (OR = 0.512) and assessment marks for MAT133 were found to have a significantly higher possibility to be high-achiever in MAT133. Acquiring strong mathematical background is a priority as a fundamental preparation for students to learn mathematics in higher institution.
Odd harmonious labeling on the amalgamation of the generalized double quadrilateral windmill graph

Graph labeling is one of the topics of graph theory that is growing very rapidly both in terms of theory and application. A graph that satisfies the labeling property of odd harmonious is called an odd harmonious graph. The method used in this research is qualitative research by developing a theory and a new class of graphs from odd harmonious graphs. In this research, a new graph class construction will be given in the form of an amalgamation of the generalized double quadrilateral windmill graph. Furthermore, it will be proved that the amalgamation of the generalized double quadrilateral windmill graph is an odd harmonious graph. So that the results of the research show that the amalgamation of the generalized double quadrilateral windmill graph is a new graph class of odd harmonious graphs.
Modern Means of Information Technologies in Document Communications

With the expansion of human capabilities, the discovery of the latest laws and knowledge, with the development of the economy and production, the oral method of transmitting information gradually ceased to satisfy communicative needs. The society faced the need to build a system of documentary communications, providing for the long-term storage of information on tangible media in order to record significant information. Considering the large flow of information, the solution of office work issues is possible only through the widespread use of new information technologies using computer technology. The purpose of the article is to substantiate the need to use modern information technology capabilities in the process of document communications. Methods. In the course of the research the scientific and methodical materials, Internet sources, platforms for the theoretical substantiation of the covered problem are analyzed and generalized, so the methods of analysis and generalization are used. The results. In the course of the research, an overview of modern services and platforms for working with documents was carried out. Moreover the advantages of electronic document management were identified in the article. The substantiation of the need to use modern facilities information technology in the document communication process received further development. Conclusions. The authors stated that today's traditional professional activities are transferred in digital format, which greatly increases the efficiency and productivity of work, provides convenience and mobility of working with electronic documents, greatly facilitates and simplifies document communication. Currently, there are a lot of services for working with documents, and that is why it is quite difficult to make sense of such a variety. In the authors’ opinion, in the professional training of future specialists in the relevant specialties, it is necessary to familiarize applicants with the possibilities of modern information technologies. After all, the ability to use platforms, services for working with document flow allows you to optimize and rationalize management activities in all its areas of activity. The authors concluded that information analysts, document managers should have an idea of the capabilities of such resources and instantly respond to qualitative changes in this area.