Reviewerly/exHarmony huggingface dataset:
Density log construction using machine learning

Determination of the reflection coefficients is a key element to a well-to-seismic tie, and the density log has a major petrophysical importance as it is used to calculate the acoustic impedance and the reflectivity log.Many authors have developed empirical relations to determine the bulk density log from other logs information such as compressional velocity and shale volume fraction.Machine learning techniques have been applied in image and voice recognition, medical diagnosis, statistics and many other problems involving regression and classification including some in geophysics.The idea in this work is to compare the accuracy of an Artificial Neural Network model, which calculates the density log by having other logs as input, with the existing empirical models, and determine which one presents the best adjustment.An ANN model was created and the comparison with the empirical models was made by statistical analysis such as calculating the mean squared error, the relative error and correlation factor.The ANN model presented smaller errors and higher precision on the adjustment compared to the empirical models.
Accessing Knowledge Graphs Programmatically

In Chapter 1 we mentioned some technologies behind Knowledge Graphs (RDF), and the query languages available for accessing their data (SPARQL). These languages use graph-based patterns to specify the criteria under which we want to query the data. Usually, these queries are manually written, tested through trial and error, and incrementally refined and improved until the users gets exactly what is needed.
Applications

The tools and principles that we have explained in this book, in particular those that facilitated the creation of the tools grlc (described in Chapter 4) and SPARQL Transformer (described in Chapter 5), originated in research programs around Knowledge Graphs and the Semantic Web, in particular the Dutch national program CLARIAH1 [Merono-Penuela et al., 2020] and the French project DOREMUS (DOing REusable MUSical data)2 [Achichi etal., 2018], from 2016 onward.
Implementation of Web Application for Disease Prediction Using AI

The Internet is the largest source of information created by humanity. It contains a variety of materials available in various formats such as text, audio, video and much more. In all web scraping is one way. It is a set of strategies here in which we get information from the website instead of copying the data manually. Many Web-based data extraction methods are designed to solve specific problems and work on ad-hoc domains. To enable Web Scraping, a variety of tools and technologies have been created. Regrettably, the propriety and ethics of employing these Web Scraping programmes are frequently neglected. There are hundreds of online scraping applications available today, the most of which are written in Java, Python, or Ruby. There is both commercial software and open source software. For novices in web cutting, web-based applications such as YahooPipes, Google Web Scrapers, and Outwit Firefox plugins are the finest options. Web extraction is basically used to cut this manual extraction and editing process and provide an easy and better way to collect data from a web page and convert it into the desired format and save it to a local or archive directory. . In this paper, among others the kind of scrub, we focus on those techniques that extract the content of a Web page. In particular, we use scrubbing techniques for a variety of diseases with their own symptoms and precautions.
Modeling study on the influence of nano admixture on the strength of high-rise building concrete

To solve the problem of high prediction error of concrete strength in traditional methods, a modelling method of the influence of nano admixtures on the strength of high-rise building concrete is proposed. UHPC concrete was selected as the test object to prepare different test blocks. Establish the concrete strength prediction model based on RBF network, optimise the prediction model, obtain the multivariate nonlinear model, input the material preparation data of nano admixture into the model, output the concrete strength prediction results, and complete the analysis of the impact of nano admixture on concrete strength. The test results show that the compressive strength of concrete reaches the best when the nano content is 1%; When the content of nano admixture is 30%, the flexural strength of concrete is the best; When using this method to predict the strength of concrete test block, the minimum prediction error is only 0.5%.
Measuring the Effects of Cultures on Website Use

Under the context of globalization, it is essential to understand the cultural requirements and preferences of a target culture if a company wants to develop a website which can appropriately map that target culture. Based on the author’s previous study, the culturally preferred characteristics between Taiwan and the UK have been found (Hsieh and Hong, 2013). The previous finding of the culturally preferred characteristics between Taiwan and the UK formulates the further questions: “Since different cultural preferences for web design attributes exist, how can the culturally preferred design characteristics be applied to increase usability?” Therefore, the aim of this paper is to measure the effect of cultural preferences on the use of web design. The methodologies are introduced as following. First, two cultures are selected. Taiwan and the UK are selected. Second, experimental webs are constructed. The cultural preferences for websites of Taiwan and the UK would be embedded into websites prototype, which have the same content. Finally, applying SPSS to analyze the data of the usability testing. Based on the results of the analyasis and discussion, it reveals that culturally preferred design elements of the target-culture can improve the effectiveness of web communication for the users from the target-culture. This research can help web developers and designers to develop a web interface design that is culturally appropriate.
An Evaluation of Human Factors on Confirmation/Check Tasks in Organizational Safety Management

In organizations’ safety management, it is most important to ensure workers check their own work so that they can detect human error as early as possible. We study the checking task from the viewpoint of human factors with the aim of identifying factors impeding the performance of the checking task and proposing a method for mitigating the effects of such impeding factors. The checking task does not always play a good performance, making workers desirous of performance improvement. However, few attempts have been made to study the checking task beyond analyzing individual, concrete work contexts. We, first, identified and categorized problems regarding the checking task by statistically analyzing the result of the survey covering over 20,000 workers of 15 companies from several industries such as railway and general hospitals. The survey included distributing questionnaire and on-site interviews, both targeting site workers. We, next, got down on to further study the result of the above analysis as that we developed advice/tips data that can assist those who prepare a checklist. Based on the result of these analyses, we compiled a guideline on what to discuss and how to address it when adding new items to an existing checklist.
IDENTIFIKASI KAIN TAPIS LAMPUNG MENGGUNAKAN EKSTRAKSI FITUR EDGE DETECTION (CANNY) DAN KLASIFIKASI PROBABILITY NEURAL NETWORK (PNN)

Tapis fabric is a Lampung tribe women's clothing in the form of a sarong made of woven cotton threads with a sugi motif or decoration, silver thread or gold thread with an embroidery system. Lampung tapis is the result of woven cotton threads with motifs, silver threads or gold threads and becomes the typical clothing of the Lampung tribe. Tapis fabric can be distinguished by shape and pattern, each type has its own special characteristics. This study aims to identify the tapis fabric using Edge Detection feature extraction and Probability Neural Network (PNN) classification. Experiments were carried out using 525 images data, 450 images became training data, while the other 75 images became test data consisting of 3 types of filters Bintang Perak, Gunung Beradu, and Sasab. The results of the experiment are quite good. The smoothing value applied to the PNN has an effect on the accuracy.
CLUSTERING K-MEANS JENIS KATA PADA LAPORAN KEGIATAN KULIAH KERJA NYATA (KKN) UNIVERSITAS LAMPUNG MENGGUNAKAN WORD2VEC

Kuliah Kerja Nyata (KKN) is a form of student service activities for the community, requesting and developing science and technology carried out off-campus within a period, linking work, and special requirements managed by the Badan Pelaksana Kuliah Kerja Nyata (BP-KKN). While carrying out KKN activities, each group of students is required to upload a report of the activities carried out in the village. In uploading the report file, there are several categories in each activity, including socialization, training, and character development. To classify the results of uploading activities one of which can be done using clustering techniques. In this research, a clustering of discussion on KKN student activities will be conducted at the University of Lampung. The text mining method is used to process KKN student activities to be more structured. Information on the KKN student activities was obtained as a feature with the Word2Vec weighting technique. The algorithm used is the K-Mean algorithm which has a high accuracy of the size of the object, so this algorithm is relatively more measurable and efficient for processing large numbers of objects. From the results of research conducted, it has been found that apply the text mining process algorithm for clustering with the K-means method on the Unila KKN Student activity data produces a value of k = 2, a lot of filtered data in the preprocess is 6284 data, using this method has not yet gotten a good association analysis because the results of the second cluster do not show the general types of words, typos and reporting activities by students who are not specifically can affect the results of clustering that is not good.
SISTEM INFORMASI PELAYANAN KESEHATAN REKAM MEDIS PASIEN MENGGUNAKAN FRAMEWORK LARAVEL

The medical record is a patient's medical record during the examination. Information on medical records is needed as a reference for further action. Medical records consist of conventional medical records and electronic medical records. Medical records in several health facilities are still stored on paper media. Manually storing medical record data has a disadvantage, namely that it is very difficult to find previous patient medical record data, even though it has been separated according to category, the data search process still takes a long time. The use of databases in information systems makes it easy to exchange data and search for medical records. This information system is expected to provide benefits in use, fast in service, and safe in data storage. The research methodology uses the Research and Development (R&amp;D) method. The R&amp;D stage consists of concept, analysis and architecture, development, leverage and validation. Medical Record Health Service Information System was built to assist and facilitate medical record services in health facilities. The Medical Record Health Service Information System provides access rights to four users, namely: superadmin, admin, medical personnel, and patients. Each user has a different function. Types of medical records are emergency medical records, inpatient medical records, outpatient medical records, and laboratory medical records.
KLASIFIKASI KEJADIAN HIPERTENSI DENGAN METODE SUPPORT VECTOR MACHINE (SVM) MENGGUNAKAN DATA PUSKESMAS DI KOTA BANDAR LAMPUNG

Hypertension is a condition in which a person experiences an increase in blood pressure above the normal value which causes pain and even death. Normal human blood pressure is 120/80 mmHg. Patients with hypertension cannot be cured, but prevention and control can be done. The hypertension cases are always increasing in Indonesia. The Bandar Lampung City Health Service stated that hypertension is a disease that always ranks in the top ten diseases in Bandar Lampung City. Diagnosis of hypertension is currently manually performed by requiring a lot of energy, materials, and time. Based on the condition, there is an idea to apply the field of biomedical data analysis to help diagnosing hypertension using the support vector machine (SVM) method in Bandar Lampung City. This study classifies and measures the accuracy of the support vector machine method in hypertension. The data comes from five health centers in Bandar Lampung City from 2017 to 2019 with 10-fold cross validation data sharing. The kernels used are linear, gaussian, and polynomial kernels. This study successfully classifies hypertension sufferers in Bandar Lampung City. The result of the highest feature correlation analysis is 0.90. The results of the classification using the support vector machine method get the highest accuracy, which is 99.78% on the gaussian kernel.
Study and Practice About Online and Offline Mixed Teaching Mode of Organic Chemistry

In order to break the traditional teaching mode of organic chemistry, the process of impartment-internalization-promotion is applied with mixed online and offline mode. Students’ abilities of self-improvement, comprehensive analysis, exploration and certain innovation are cultivated by creating the golden course of ‘organic chemistry’.
Constructing approximately diagonal quantum gates

We study a method of producing approximately diagonal 1-qubit gates. For each positive integer, the method provides a sequence of gates that are defined iteratively from a fixed diagonal gate and an arbitrary gate. These sequences are conjectured to converge to diagonal gates doubly exponentially fast and are verified for small integers. We systemically study this conjecture and prove several important partial results. Some techniques are developed to pave the way for a final resolution of the conjecture. The sequences provided here have applications in quantum search algorithms, quantum circuit compilation, generation of leakage-free entangled gates in topological quantum computing, etc.
OPPORTUNITIES, THREATS AND SOLUTION TECHNIQUES OF DEEP-FAKE TECHNOLOGY: A SYSTEMATIC REVIEW

Recently deepfake have become the most popular.Although it has also positive uses in many industries, it is a big threat to societies.So, concerns remain over the dark side of this technology.Since there are few studies evaluating different aspects of deep fakes& their benefits, threats, and methods to combat this technology.We tried to provide a complete overview of deepfake detection methods, the opportunities & threats of this technology.We performed a systematic search using the keywords in the online databases including PubMed, Scopus, Science Direct, and Web of Science.All the related papers and documents published in English were retrieved from 2015 through July 2021.Our search strategy included several combinations of keywords including: "Deep fake", "fake reality", "artificial intelligence", Generative Adversarial Networks (GAN), "Videos", and "programming".A review of studies showed that entertainment was the most mentioned use of deepfake technology.According to the findings, creating non-consensual pornography and threat to privacy and democracy was significant in the menace category.Also uses for malicious purposes, the spread of false information and manipulated news and, the threat to social security were the other mentioned threats in several articles.Deepfakes are new technologies and they are still developing.We have found in our added studies that deepfake has good potential for improvement and helping.Besides its various opportunities, we know that it can be pretty much harmful.It's mostly used in Virtual Reality (VR) and Augmented Reality (AR).
ENHANCEMENT OF AI-BASED IMPLEMENTATION USING A ONE-STAGE DETECTOR ALGORITHM FOR THE DETECTION OF COUNTERFEIT PRODUCTS

Counterfeit products are a major problem that the market has been facing for a long time.According to the Global Brand Counterfeiting Report 2018 "Amount of Total Counterfeiting, globally has reached to 1.2 Trillion USD in 2017 and is Bound to Reach 1.82 Trillion USD by the Year 2020", a solution to this concern has already been researched and published by the authors in previous research papers published in e-society 2020 and IADIS journal, but the issue with the previously mentioned solution was that the object detection performance and accuracy needed to be improved.In this paper, a comparison between the current YOLO (You Only Look Once) algorithm used in the new implementation and the SSD (Single Shot Detector) algorithm, the faster R-CNN (Region-Based Convolutional Neural Networks) used in the old implementation, is made in the context of the present task to discuss and prove why YOLO is a more suitable option for the counterfeit product detection task.
AN ONLINE EXPERIMENT ON THE STEREOTYPE CONTENT MODEL (SCM) AND CHATBOTS - DOES SWAPPING THE PICTURE MAKE A DIFFERENCE?

Chatbots have become quite popular in recent years, and research on the topic has gained momentum.In this study, we address whether the stereotype content model applies in the context of chatbots.Furthermore, we consider whether swapping the image of a person in the chatbot interface makes a difference in terms of the SCM.An online experiment was conducted to A/B-test different chatbot versions, and the results suggest that the SCM applies.Furthermore, a chatbot can be perceived as warm and competent, with friendliness, in particular, fostering online trust.This, in turn, is a business-success-relevant construct in an online setting.Therefore, if a trustworthy chatbot is to be implemented, the SCM is considered relevant and necessary for implementing such a bot.
Evaluasi Kerjasama dalam Pengembangan Perpustakaan Universitas Riau dengan Perpustakaan Arsip dan Dokumentasi Provinsi Riau

This research is entitled "Evaluation of Cooperation in the Development of the Riau University Library with the Archives and Documentation Library of Riau Province". The purpose of this research is to find out the form of realization of cooperation and what are the obstacles faced by the Riau University Library with the Riau Province Archives and Documentation Library in the development of the Riau University library. The method used in this research is qualitative method. Data collection techniques using interviews. With the number of informants as many as 10 people. The results of data analysis show that the form of realization of collaboration with the Riau University library is collaborating with the Archives and Documentation Library of Riau Province, namely. Becoming a Member of the Suman HS Regional Library With the Electronic system, the collaboration has not been implemented. The obstacles faced by the Riau University Library and the Riau Province Documentation Archives Library are the change in the head of the library, lack of coordination between leaders, the application is not integrated, and the lack of experts on duty.
DEVELOPING DIGITAL CAPACITY FOR GRADE 9 STUDENTS BEING A MINORITY CITIZENS IN THE NORTH MOUNTAIN AREA OF VIETNAM IN TEACHING LITERATURE

In modern society, digital competence is of great importance for both adults and children. In a world where half of the population lives and works online, where 70% of the population is aged 15-24, the ability of citizens to make the most of digital and Internet opportunities has become very important. This is even more important for children, as children tend to spend more time online than adults and so they will benefit more from and take more risks online. Furthermore, investing in children's digital literacy means creating a future generation of more responsible, workable, and tolerant citizens. However, developing this capacity for ethnic minority students in Vietnam still faces many difficulties. The article presents research results on the concept of digital competence, factors affecting the ability to develop digital competence of 9th grade students who are ethnic minorities, the current situation, and some solutions to develop digital competence. There are digital resources for 9th grade students who are ethnic minorities in the northern mountainous areas of Vietnam.
GA-based efficient resource allocation and task scheduling in a multi-cloud environment

Efficient resource allocation to balance load evenly in heterogeneous multi-cloud computing environment is challenging. Resource allocation followed by competent scheduling of tasks is of crucial concern in cloud computing. The number of cloud users is immense, volume of incoming job-request is arbitrary and data is enormous in cloud application. In cloud computing resources are limited; therefore it is challenging to deploy various applications with irregular capacities as well as functionalities in heterogeneous multi-cloud environment. In this paper genetic algorithm-based task mapping, followed by priority scheduling in multi-cloud environment is proposed. The proposed algorithm has two important phases, namely mapping and scheduling. We performed rigorous simulations on synthetic data for a heterogeneous multi-cloud environment. Experimental results are compared with existing first in first out (FIFO) mapping and scheduling. Validity of mapping and scheduling clearly proves better performance of the entire system in terms of makespan time and throughput.
Eye Controlled Wheel Chair System for Physically Challenged People

As per another report mutually set up by the World Bank and the WHO, on the planet there are 15% handicapped are incapacitated. Utilizing an amazing wheelchair to drive paddling is one of the principal steps to coordinate individuals with extreme physical and scholarly inabilities into society. For seriously incapacitated individuals, driving a wheelchair is a troublesome assignment except if the tongue is utilized to control the toy stick. Simultaneously, the visually impaired and the handicapped deal with two issues, which establish an unforgiving climate for them, which imply haughtiness and limitation. Different projects have been intended to conquer the previously mentioned issues lastly permit clients to perform safe activities and perform significant day-by-day life undertakings. The mechanical wheelchair utilizes eye development and head development to control the wheelchair. Moreover, we can speak with room gear, for example, fans, by utilizing a similar head development to give more autonomy to the incapacitated. Use RF transmitter and collector to finish this correspondence. Utilizing this capacity, you can undoubtedly control different gadgets.