Reviewerly/exHarmony huggingface dataset:
Transformation the Business of eCommerce Through Blockchain

Cryptocurrency, decentralization and distributed ledger made the Blockchain technology unique and robust. Bitcoin was the first blockchain-based cryptocurrency. Moreover, It became the synonym of digital/virtual currency and this technology opened a new era. It is not only the digital currency technology but also it offers many significant possibilities, which offer secure, fast, smooth and trust in today’s eCommerce system. Many companies are implementing the technology and achieve the potential of security, speed and smooth transactions. Today’s eCommerce highly depends on faster logistics, error-free transaction and protection of the user’s data. Maintaining cybersecurity issues and giving the best user experience through UI is the first concern of today’s eCommerce platform. Blockchain solves these problems by giving extra layers of personal data security and keeping the confidential bank data safe. Using the blockchain technology, singer, video content creator or any digital artist can get benefits. This paper includes a subjective review of Blockchain in E-commerce (physical and digital goods) and the possibilities, risks, future of this technology.
Blockchain and freedom of expression

Recent researches have shown how the Bitcoin blockchain has been used not only to transfer values but also to upload illegal online content. This case is only an example of the relevance of speech in the blockchain environment. This chapter focuses on the relationship between freedom of expression and blockchain and examines the role and responsibilities of intermediaries in the blockchain environment. The result of this analysis shows that there is more speech among the blocks than it can seem at first glance. This chapter shows how the characteristics of blockchain technologies can foster and challenge the right to freedom of expression at the same time. Besides, this work underlines how the European regime of online intermediaries’ liability does not exactly fit with the blockchain environment.
Expert System of Blood Fever Disease Using Case Based Reasoning (CBR) Method

This study discusses the creation of an expert system that can be used to diagnose dengue fever. The method used is the Case Base Reasoning (CBR) method. CBR is a method that uses an artificial intelligence (Artificial Intelligent) approach and focuses on problem solving based on the knowledege of previous cases. The cases used were obtained from records of case handlers for diagnosis of dengue fever from an old case dengue fever specialist and provided one new case to calculate the value of its proximity to the old case. The results of this study provide output in the form of possible diseases and treatment suggestions based on the similarity of new cases to the knowledge that the system has. The test results based on manual calculations and system calculations obtain appropriate results so that the system is able to diagnose clinically and the system is able to provide information and solutions about dengue hemorrhagic fever based on the knowledge and abilities of doctors.
Оценка неотектонической активности вулканического пояса Уромие­Дохтар (Иран) на основе расчета морфотектонических индексов

The article deals with the analysis of morphotectonic indices as a principal tool to identify the areas experiencing rapid tectonic deformations, or estimate relative variations of tectonic activity in a specific area. We applied the analysis in the Zeferh fault zone, located within the Urumieh-Dokhtar Volcanic Arc (UDVA) in the Central Iran. The Zefreh fault is a most important fault in the central part of the UDVA. The Zefreh fault stretches for 130 km in NW–SE direction from the Natanz town in the north to the Zefreh village in the south. The Zefreh fault cuts and displaces the UDVA along its whole trace. The dextral strike-slip component confirmed by tectonic features was shown based on the analysis of fault lineations, and interpretation of Landsat satellite images and field data. We calculated morphotectonic indices along the Zefreh fault zone and evaluated the tectonic activity of the area. We used topographic maps, geological maps, satellite images, and field observations for identification and calculation of morphotectonic indices. A digital elevation model (DEM) was obtained by digitizing contour lines from topographic maps. Standard methods in ArcGIS, Global Mapper, and Envi programs were used to calculate indices and identify tectonic features. The coefficients of mountain-front sinuosity ( Smf ), ratio of the valley floor width to the valley slope height ( Vf ) and ratio of the valley width to the valley slope height ( V ) average to 1,17, 0,78 and 6,92 respectively. In addition, the stream length gradient index ( SL ), the displacement of river valleys, the presence of asymmetric and curved proluvial fans and the increasing rate of vertical erosion, as well as the residual effects of fault movement in Quaternary sediments, indicate that the Zefreh fault is still active.
The Technology of Collaboration Between Science and General Education in Case of the Activities of a Public Organization

The technology of collaboration between science and general education offers the solution to the problem of isolation of scientific pedagogical knowledge from the practice of general education. Having united in a public organization scientists-educators interact actively with teachers and schoolchildren. The technology is implemented through the following areas: massive open contests for schoolchildren; scientific and practical conferences for teachers; methodical resource bank for teachers; advanced training of teachers; groups of teachers on social media. The platform for the technology is the portal of a public organization
Detecting Replica threads in online Q/A FORMS

The number of questions asking in online Q/A forms are rapidly increasing day by day: in which many of the questions are of same internal meaning but the formation of the question and the vocabulary used in the question are different.so recommending same answer to the near duplicate or duplicate threads are becoming really thought.In this project, the proposed system aim to develop a suitable online machine learning model to detect the question pair similarity so that the proposed system can easily detect that whether it is duplicate, near duplicate or not a duplicate question. If the question is duplicate or near duplicate of the previously existing answered question the proposed system can recommend similar answer to that duplicate thread
Multimodal Cyberbullying Detection Using Ensemble Learning

Modern technologies have made the internet more accessible, with social networks and online communications witnessing a several-fold increase in usage and popularity. Since it offers such ease and convenience, it has become an indispensable part of modern culture. However, as with all good things, it has also led to a new peril - Cyberbullying, which is essentially bullying an individual via an electronic medium. With a high amount of data being shared on social networks daily, automated cyberbullying detection tools need to be put in place. Several approaches have been made for text-based cyberbullying detection, but other modalities such as images have often been ignored. In this paper, we propose a multimodal Long Short-Term Memory (LSTM) network for cyberbullying detection that captures the interplay between the textual and visual modalities by conditioning the LSTM on nontemporal visual data. We further use this network to create an ensemble model that achieves an F1 score of 0.81, outperforming the current state-of-the-art model by 3.8% on the same dataset.
Nonparametric Bayesian methods in robotic vision

In this dissertation non-parametric Bayesian methods are used in the application of robotic vision. Robots make use of depth sensors that represent their environment using point clouds. Non-parametric Bayesian methods can (1) determine how good an object is recognized, and (2) determine how many objects a particular scene contains. When there is a model available for the object to be recognized and the nature of perceptual error is known, a Bayesian method will act optimally.In this dissertation Bayesian models are developed to represent geometric objects such as lines and line segments (consisting out of points). The infinite line model and the infinite line segment model use a non-parametric Bayesian model, to be precise, a Dirichlet process, to represent the number of objects. The line or the line segment is represented by a probability distribution. The lines can be represented by conjugate distributions and then Gibbs sampling can be used. The line segments are not represented by conjugate distributions and therefore a split-merge sampler is used.A split-merge sampler fits line segments by assigning points to a hypothetical line segment. Then it proposes splits of a single line segment or merges of two line segments. A new sampler, the triadic split-merge sampler, introduces steps that involve three line segments. In this dissertation, the new sampler is compared to a conventional split-merge sampler. The triadic sampler can be applied to other problems as well, i.e., not only problems in robotic perception.The models for objects can also be learned. In the dissertation this is done for more complex objects, such as cubes, built up out of hundreds of points. An auto-encoder then learns to generate a representative object given the data. The auto-encoder uses a newly defined reconstruction distance, called the partitioning earth mover’s distance. The object that is learned by the auto-encoder is used in a triadic sampler to (1) identify the point cloud objects and to (2) establish multiple occurrences of those objects in the point cloud.
Digital Transformation Index of UAE Enterprises: Drivers and Enablers, a Bottom up View

This study uses primary data which are amassed with the help of a structured questionnaire from executives of various UAE based enterprises as the universe. In the pre digital era, stability and entry barriers were the defining factors of competitive advantage, while recently incidents of more black swan events like COVID-19 stresses the pressing need for blended strategy process where the building blocks of organizational design – structure, control and culture permits a top down vision and bottom up strategic initiatives to emerge. (David et.al, 2020). In this respect, 110 executives are surveyed on random sampling technique. Statistical Package for Social Sciences SPSS version 22 used to analyze the data, and statistical tools like Factor Analysis and Indexing methods are used to analyze data for identifying the pertinent variables leading to digital transformation. The result of the study is evaluated on the basis of a process model consists of the pertinent variables that are connected to digital transformation strategies. This paper is part of larger research project carried by out by the researchers, and this research examined the digital maturity of the UAE organizations based on their Digital Transformation Index. The findings of this study show that 50 percent of the institutions focus on improving operational efficiency capabilities as a first step towards DT, 21.8 percent of UAE based firms focus on customer experience improvements and 14.5 percent on more than one aspect of DT.
QR Code Based Event Management System

Nowadays many companies are increasing their services on event planning in order to manage event using modern technology. It is difficult to manage event using manual methods by witting manually on spreadsheet and paper documents. Due to that, QR code based event management is developed. This application development can be a platform to manage and promote the events conducted by Chiteeram Solution Sdn.Bhd. This application has admin and user side. The user side consists of nine modules that are registration, login, update profile module, view events, add to cart, book events, generate QR code, view history, settings and logout. The admin side consists of nine modules that are login, create event, update event, delete event, view user profile, scan QR code, generate report and sign out. The physical design of the application constructed using a mobile-based technology, which are Android Studio, Firebase database and Java language. The methodology used in this application system is Object Oriented System Development (OOSD) involves four phases such Object-Oriented Requirement Analysis, Object-Oriented Design, Object-Oriented Implementation and Object-Oriented Testing. Analysis and design of the proposed project done using UML diagrams, data dictionary and interface design. The application will make it easier for the management to implement to their business and manage customer’s data
DI Library: Physical Geography (GE 306): Building Damage in Earthquakes

Books and websites on specific research topics for physical geography, as well as practice quizzes DI Library's recommended ebooks, websites, and downloads for the Building Damage in Earthquakes research topic
Karakteristik Spasiotemporal Kekeringan Meteorologi Di Kabupaten Gorontalo Tahun 1981-2016

Drought is one of the natural disasters that can cause disadvantages, especially in the agricultural sector. Gorontalo Regency is the corn production center, yet it has high vulnerability and low adaptive capacity towards the climate change. In addition, its vulnerability to the impact of drought is seen from the high potential for environmental damage, the disadvantages due to the drought and the potential of the population exposed to drought. Standardized Precipitation Index (SPI) is the estimator tool employed to assess the severity of the drought. This study utilized monthly rainfall data from 17 stations in Gorontalo Regency and 2 stations outside Gorontalo Regency during the period of 1981-2016. The SPI values were calculated by utilizing DrinC software and spatial interpolation of drought using ArcGIS software. The result shows that the longest time of drought occurred in 1982, 1986, 1997 and 2015 due to El Nino phenomenon with moderate and strong category with long duration. Further, analysis result in the last four decades reveals that the worst drought occurred in 1982. Based on the result of frequency analysis on the SPI-3, SPI-6 and SPI-1 2 time scales, drought is frequently taken place in western regions. Thus, this result can be a reference in managing the water resources in Gorontalo Regency. The plan in the commodity-based agriculture sector can be developed since the result of spatial analysis indicates that SPI can identify the diversity of drought severity. It is necessary to place the climate change scenarios in order to prepare the adaptation and mitigation measures of drought impacts due to the uncertainty of future climate conditions. This is very helpful to provide an idea about the dynamics of drought.
Pengembangan Media Pembelajaran Berbasis Android Pada Materi Aturan Sinus Dan Cosinus Sebagai Sarana Berlatih Mandiri

The purpose of this research is to develop Android-based learning media on the material of the Sinus and Cosine rules material as an independent practice that valid, effective and practical. The development model used in this research is the Borg and Gall development model. Data collection technique was carried out using a questionnaire sheet. Data collection instrument use validation sheets for media experts and material experts, student questionnaire sheets, and doing exercises on learning media. Data analysis technique in this research is quantitative and qualitative descriptive. The development media had a practice questions and games that contain random numbers. The results of the validation by media experts is 3.53 with a valid category. While the results of the validation by material experts is 3.34 with a fairly valid category. The results of the effectiveness test were obtained from the research subjects of 6 people that the results is 83.33% in the effective category. The practicality test results were obtained from a questionnaire of research subjects is 90% meets a very good criteria. It can be concluded that the Android-based learning media on the Sine and Cosine Rules material as an independent practice is valid, effective and practical.
One Day on Designs

Our book, Patent Law: An Open-Access Casebook (2021), contains a full chapter on design patent law. This set of readings is adapted from that chapter. It is designed for professors who want to assign one day’s worth of materials on design patents. It is suitable for use in courses on patents, trademarks, in IP surveys, or in other courses.
Specifics of the organization and planning of the investigation of crimes committed with the malware

The number of cases of malicious computer programs in Russia has increased significantly over the past few years. The authors set out to establish the features of the organization and planning of the investigation of crimes of this type and to analyze the investigative activities in order to find ways to further improve the fight against computer crime. The purpose of the study is to determine the most promising areas of organizing and planning the investigation of crimes involving malware. The results of the study are expressed as follows: 1. At the stage of checking a crime report, where there is a high probability of malicious computer programs being used by the perpetrators, the investigator immediately establishes full control over the victim's computer equipment and access to his electronic accounts. The selection of explanations from the applicant, the examination of computer equipment and the appointment of a forensic computer-technical examination in order to establish the fact of infection with malware. 2. The focus of the investigator's actions is based on the promotion and verification of versions about the existence of a crime, the time of its commission, the establishment of harm to the applicant, the classification of malicious computer programs, the mechanism of infection of the victim's software and the methods of harming him. All this information is defined as the circumstances to be established for the initiation of a criminal case. 3. The tactical risks of organizing the investigation are the inability of the expert to classify the program as malicious in the presence of harm, as well as the use of a set of measures to anonymize the perpetrators of their actions, and even the unreliability of the information about the incident reported by the applicant himself. 4. The method of malware infection and the resulting traces depend on the model of interaction with the victim chosen by the criminals. Here you can find both the distribution of the program under the guise of a service, service, complementing other and expanding the capabilities of the computer, and the notification of the victim that the use of the program is illegal, but will bring him benefits from its use. In such cases, the investigator has to deal with organized, secret groups of criminals.
Bidirectional Temporal Context Fusion with Bi-Modal Semantic Features using a gating mechanism for Dense Video Captioning

Dense video captioning involves detecting interesting events and generating textual descriptions for each event in an untrimmed video. Many machine intelligent applications such as video summarization, search and retrieval, automatic video subtitling for supporting blind disabled people, benefit from automated dense captions generator. Most recent works attempted to make use of an encoder-decoder neural network framework which employs a 3D-CNN as an encoder for representing a detected event frames, and an RNN as a decoder for caption generation. They follow an attention based mechanism to learn where to focus in the encoded video frames during caption generation. Although the attention-based approaches have achieved excellent results, they directly link visual features to textual captions and ignore the rich intermediate/high-level video concepts such as people, objects, scenes, and actions. In this paper, we firstly propose to obtain a better event representation that discriminates between events nearly ending at the same time by applying an attention based fusion. Where hidden states from a bi-directional LSTM sequence video encoder, which encodes past and future surrounding context information of a detected event are fused along with its visual (R3D) features. Secondly, we propose to explicitly extract bi-modal semantic concepts (nouns and verbs) from a detected event segment and equilibrate the contributions from the proposed event representation and the semantic concepts dynamically using a gating mechanism while captioning. Experimental results demonstrates that our proposed attention based fusion is better in representing an event for captioning. Also involving semantic concepts improves captioning performance.
Basin Modeling Using the Source Rock Evaluation and Oil Characterization of the Cretaceous Succession in West of Nile Area, Western Desert, Egypt

The study area is located in the western side of Beni Suef Basin, between latitudes 29° 04’-28° 59’ N and longitudes 30° 53’-30° 57’ 55’’ E in the northeastern Western Desert which considered the most important petroleum province in Egypt. The present work deals with the geochemical evaluation for both source and reservoir rocks of the Cretaceous sequence in terms of source rock evaluation and oil-source correlation. The source rock evaluation was carried out through the geochemical analysis, which was based mainly on laboratory chemical and microscopic analyses of sample sets chosen from WON C-3X well, and resulted in a determination of the amounts and types of organic matter and their maturity
Central Louisiana Technical Community College Library: Drafting and Design Technology: Open Educational Resources

This guide will help you find information on Drafting and Design Technology in print and online. This page links to Open Educational Resources (OER) for Drafting and Design Technology.
Use of a Fuzzy Logical Apparatus in Primary Processing Text Manuscript Recognition

In recognizing texts manuscripts, fuzzy algorithms have been used to remove blurring in the image and increase the efficiency of recognition. The recognition emphasizes the effectiveness of the simultaneous use of FCM and Gaussian filtering, median (3x3) algorithms to increase the brightness of an image in a fuzzy logic apparatus to sharpen a black and white image.