Reviewerly/exHarmony huggingface dataset:
Measuring Dark Web Marketplaces via Bitcoin Transactions: From Birth to Independence

This study measures the evolution of the anonymous marketplaces Silk Road, Silk Road 2.0, Agora, Evolution, Nucleus, Abraxas, and AlphaBay, which were the seven leading and most active dark web marketplaces. We identify that all the seven marketplaces use the same software to manage Bitcoin by investigating transactions in these marketplaces. However, the software was no longer used since May 2016 because of its vulnerability to protect anonymity. It indicates that dark web marketplaces advanced to the next stage with anonymity-enhancing tools around in March 2016. Using simple heuristics to identify and trace Bitcoin addresses associated with these marketplaces, purchases on these marketplaces are identified and evaluated. Our method provides evidence on market size, development, and fluctuation over time to fill a gap in previous studies. Dark web marketplaces continue to thrive because users migrate to new marketplaces after the existing ones are shut down. The total sales volume on Silk Road was 192.7 million US dollars between June 2012 and October 2013. The corresponding figures for Silk Road 2.0, Agora, Evolution, Nucleus, and Abraxas were 112.9, 220.7, 69.7, 88.3, and 35.6 million US dollars, respectively. The figures for AlphaBay was 166.0 million US dollars between December 2014 and February 2016.
Tourism Recommendation System in Bali Using Topsis and Greedy Algorithm Methods

Tourism is the mainstay of the economy of the region of Bali and is an important sector in supporting the level of community welfare. The world of tourism is essentially an important symbol for Bali. Of the many tourists who come to Bali, of course not all tourists know all information about Bali, such as in terms of tourist locations, and tourist attractions closest to other tourist attractions. Therefore, the authors aim to create a recommendation system that can provide planning for the selection of tourist attractions according to the closest distance and the user's budget.&#x0D; This system is designed using the TOPSIS (Technique for Order Preference by Similarity To Ideal Solution) method and the Greedy Algorithm. The TOPSIS method is a SPK (Decision Making System) that will be used for the selection of tourist attractions that will help tourists to arrange vacation planning before going on a tour. While the Greedy Algorithm is used to find the closest or shortest distance between a tourist site and other tourist attractions, this algorithm will be able to determine which path will be taken first or called the local optimal path, so that all the paths are taken at the end of the trip and create a travel route shortest or called the global optimum so that it can also be the expected solution. From this it can be determined the value of the shortest travel route that starts from the location of the user's residence to the tourist attractions and to other nearby tourist attractions. The data used is data obtained from DISPARDA, namely tourist data.&#x0D; Research related to the selection of tourism object decisions based on the type of tourism, prices and facilities, and the results are able to provide recommendations for tourist attractions that meet these criteria. Tourism Selection Using Techniques For Order Preference By Similarity To Ideal Solution (Topsis) With Object Localization Visualization [4], Development of Decision Support System for Hotel Determination in Buleleng District Using Analytic Hierarchy Process (AHP) Method and Technique for Others Reference By Similarity To Ideal Solution (TOPSIS) [3], a Decision Support System for Determining Tourist Locations using the Top-sis Method [6]
Pengembangan Teknologi Marketing Pada Syailendra Muda Berbasis Web

Syailendra Muda is a company engaged in the largest, most comprehensive and cheapest printing and service sector, which is located at Jl.A.Yani No 11 Sampit, Central Kalimantan Province, Indonesia. The problem that exists with Syailendra Muda, namely offline marketing arises because the company's insufficient reach is not well known, customers have to come to the store to place an order, and making reports at Syailendra Muda is still manual, resulting in reports that can be crossed out and untidy. The existence of this problem requires sales applications and online reports to input report data via computers or cellphones, so that potential customers do not have to come to the company to place orders and payments can be made through online sales applications, and report making is no longer using handwritten, bothering to write which is a lot in the diary. One of the steps taken was to create a web-based marketing technology development application for Syailendra Muda. To create a web-based information system, we need a Macromedia Dreamweaver CS4 programming language editor, PHP programming language, and MySQL database
Network Management with Reliance on Topology and Generating Paths through the Network Layers

For applications to acquire new organization semantics, overlay networks reflect a scalable and deployable solution, however, they experience the ill effects of certain proficiency concerns. Two new natives for execution in the organization layer are proposed to effectively help overlay networks. In nearby routers, Packet Reflection permits end hosts to demand cut off steering and replication. Path Painting enables several ends to be painted. Hosts to decide the location of their various paths, In order to allow overlay, the rendezvous point meets Constructing topology. Incrementally, both primitives are Implementable. In general, techniques are defined to dynamically determine a logical network topology to transport network traffic more efficiently over a physical topology based on end-to-end network traffic demands and network characteristics of the optical transport network (OTN). The methods can be used to meet the demands of network traffic imposed on a multi-layer network with a base transport layer and a layer of logical or overlay Internet Protocol (IP) routed on the transport layer. We compare and evaluate, to achieve justice, Different targets of traffic advancement for topology improvement. The use of neural networks for the simulation of nonlinear relationships. By using neural organizations, we intend to forestall any shamefulness, for example, Like dismissing direct guess. Our work also indicates which In network optimization, functions are essential for machine learning. Our methodology is partly in harmony with the previous work, and we The best performing optimization target is to conclude the delay.
Assessment of mammography screening using clinical and virtual data

Aim: Virtual clinical trials (VCT) in medical imaging can be used to predict the outcome of clinical trials, by simulating anatomy, imaging methods and image interpretation. VCTs could reduce the cost and duration of clinical trials and their dependence on available patients. This thesis is motivated by the limitations in the field of breast cancer screening. The aim of the project is to expand a specific VCT-software, OpenVCT, to support future VCTs and complement the results from the Malmo Breast Tomosynthesis Screening Trial (MBTST). The virtual patients and tumours currently simulated in OpenVCT need to be further improved and assessed, especially when it comes to their progression over time. The foremost objective of this study was to initiate a simulation of breast tumour growth and to implement growing lesions into virtual breast phantoms and thus allow for the simulation of multiple examinations over time. More specifically, a tumour growth model that is based on the characteristics of the Malmo screening population. A secondary objective was to evaluate the tumour growth model in a virtual clinical environment by estimating tumour volume doubling times (TVDT) from virtual mammograms and comparing with the theoretical values of the model. Material and Methods: The tumour growth model was based on previous studies of TVDT in breast cancer patients in Malmo, Sweden. A gamma probability distribution was fitted to the existing data and a program was developed that randomly samples a TVDT for a virtual breast cancer patient. Based on this, 30 virtual breasts were simulated using simplified tumour characteristics such as spherical lesions and exponential growth functions. The patient age and TVDT was specific for the Malmo population. Two mammograms, at different time points, were simulated per patient in order to display the tumour growth. TVDTs were then estimated from the mammograms by having a radiologist measure the lesion size. The estimated TVDTs were compared with their corresponding nominal values.Results: The initial tumour growth model was successfully implemented, and virtual mammograms were simulated for the 30 patients, depicting tumour growth. The model was estimated to have a mean TVDT of 297 ± 169 days, whereas the sampled virtual patient cohort had 322 ± 217 days. The estimated TVDT from the simulated mammograms had a mean of 306 ± 209 days. The data sets were found to originate from the same distribution as no significant difference was found between them (p>0.54). However, it was observed that the median difference between the sampled and estimated TVDTs was 12 days (IQR = 20.75) and significantly larger than zero (p 0.64).Conclusion: The initial tumour growth model displayed high accuracy and reliability when used in a possible virtual clinical trial and showed potential for further development.
The Implementation Distance Learning System in Vocational Studies IPB University (Case of Communication Study Program)

The policy of implementing a distance learning system in Indonesia is an inevitable choice to reduc e the spread of the  Covid-19 pandemic. The reliability of information and communication technology is taking place to give the success of the learning process. This study aims to evaluate the implementation of online learning systems (OLS) by using the C - context, I - input, P - process, P - product (CIPP) evaluation model . The research approach used is quantitative with descriptive analysis techniques. The results showed that the distance learning system applied in c ommunication study program College of Vocational Studies IPB University obtained a T P R score of 80.77% in the context component which means it is classified as a good category ; input obtained T P R score as 65.61% which falls into the fairly good category; the process obtained T P R score as 53.2% which is in the bad category, and the product components in the use of LMS IPB obtained T P R score as 60.45% classified in the unfavorable category. However, Google Classroom obtained a T P R score of 77.13% which is quite good. This study can show that overall the distance learning system program in the IPB Vocational School Communication Study Program environment is good enough so that it can still improve the quality.
Reversible Proofs of Sequential Work.

Proofs of sequential work (PoSW) are proof systems where a prover, upon receiving a statement \(\chi \) and a time parameter T computes a proof \(\phi (\chi ,T)\) which is efficiently and publicly verifiable. The proof can be computed in T sequential steps, but not much less, even by a malicious party having large parallelism. A PoSW thus serves as a proof that T units of time have passed since \(\chi \) was received.
LibGuides: Virtual Exhibits: Zines for Alternative Publishing: Making Your Voice Heard

Here you can find our virtual exhibits, current and past, and access the materials that we highlighted through them.
A Survey on Image Encryption Using Chaotic Maps

Authentication plays an important role in protecting image against unauthorized access. Digital images are transmitted over insecure channels such as the internet. Images must be protected against attempts to manipulate them; such manipulation could tamper the decisions based on these images. To protect the authenticity of images several methods have been proposed. Image authentication methods have gained attention due to their significance in the areas of multimedia communications and multimedia networking applications. The traditional encryption techniques exhibits a low level of security and significantly low level of resistance to the attacks. This problem can be overcome by chaotic image encryption techniques as they have a high level of randomness in key generation. This paper attempts to study various chaos-based image encryption algorithms and techniques and to compare their performance in various environments.
A Comparative Study of the Effects of Implicit and Explicit Form Focused Instruction (FFI) in Korean Grammar Education

이 논문의 목적은 한국어 문법 교육에서 암시적·명시적 형태 초점 교수의 효과를 체계적으로 알아보는 데 있다. 이를 위해 총 36편의 연구에서 105개의 효과크기를 추출하여 메타분석을 수행하였다. 본 연구의 주요 연구 결과는 다음과 같다. 첫째, 한국어 문법 교육에서 형태 초점 교수의 전체 효과크기는 .785로 중간 효과크기를 가지는 것으로 나타났다. 둘째, 한국어 문법 교육에서 명시적 형태 초점 교수의 효과크기(.965)가 암시적 형태 초점 교수의 효과크기(.497)보다 더 큰 것으로 나타났다. 셋째, 효과크기에 영향을 주는 조절효과를 분석한 결과 숙달도 변인과 학생 수 변인이 통계적으로 유의미한 영향을 주는 것으로 나타났다. 이러한 연구 결과들과 함께 교육적 제안을 함께 논의하였다.This study aims to examine the effects of implicit and explicit form focused instruction (FFI) in Korean grammar education. To accomplish this goal, a total of 105 effect sizes were gathered from 36 studies and were meta analyzed. The major implications of this research are as follows: First, the overall effect size of FFI was medium (ES=.785). Second, the effect size of explicit FFI (ES=.965) was greater than that of implicit FFI (ES=.497). Third, the analysis of the moderator effects revealed that two variables (proficiency, number of students) had a statistically significant impact on the overall effect size. Detailed findings and pedagogical suggestions are also discussed.
Deep Learning Applications of the Present and Future

Throughout the most recent years Deep learning strategies have been appeared to beat past cutting edge AI procedures in a few fields, with PC vision being quite possibly the most unmistakable cases. This survey paper gives a short outline of the absolute most huge Deep learning plans utilized in PC vision issues, that is, Convolutional Neural Networks, Deep Boltzmann Machines and Deep Belief Networks, and Stacked Denoising Autoencoders. A concise record of their set of experiences, construction, benefits, and limits is given, trailed by a depiction of their applications in different PC vision undertakings, for example, object identification, face acknowledgment, activity and action acknowledgment, and human posture assessment. At long last, a short outline is given of future headings in planning Deep learning plans for PC vision issues and the difficulties included in that.
Neural Adversarial Review Summarization with Hierarchical Personalized Attention

Review summarization aims to generate condensed text for online product reviews. Existing methods always focus on word-level representation of reviews and ignore different informativeness of different sentences in a review towards summary generation. In addition, the personalized information along with reviews (e.g., user/product and ratings) is also highly related to the quality of generated summaries. Hence, we propose a review summarization method with hierarchical personalized attention including a review encoder and a summary decoder. The encoder contains a sentence encoder to learn sentence representations with word-level attention, and a review encoder to learn review representations with sentence-level attention. Both the two attentions are of personalized paradigm whose attention vectors are derived from personalized information of input reviews instead of randomly initialized. Thus, our encoder could focus on important words and sentences in the input review. Then a summary decoder is employed to generate target summaries with hierarchical attention likewise, where the decoding scores are not only related to word information, but re-weighted by another sentence-level attention. We further design an adversarial discriminator which takes the generated summary and personalized information as inputs to force the generator adapting the generation policy accordingly. Extensive experimental results show the effectiveness of our method.
Kripto Para Değerlerine Dayanılarak BİST 100 Endeks Hareketi Tahmininde Destek Vektör Makineleri Uygulaması

With the acceleration of development in the technology, crypto currencies have started to be used in transactions. Cryptocurrencies that have been in use for nearly eleven years have created a new area in the market thanks to the decentralized system of blockchain technology, which eliminates the need for third parties. It is very attractive for investors who want to make high profits, on the other hand, volatilities in prices are very dramatic. For this reason, it is considered as risky investment tools. Investors can utilize anything that may affect the market as a risk factor. In our world of digital transformation, it can be thought that the market movements of cryptocurrencies will affect various economic balances. Investors may need various forecasting methods to overcome this uncertainty. In this study, the movement of the BIST 100 index is estimated based on the daily market values of Bitcoin (BTC), ethereum (ETH) and Ripple (XRP) cryptocurrencies with high market value as well as high transaction volume. The past market values of Bitcoin, Ethereum and Ripple, which are accepted as input variables in the study, were used in the training of support vector machines. In particular, the widespread use of cryptographic money has changed the perspective of financial systems.
Data warehouse model for population registration in Kerambitan village Tabanan Regency

Kerambitan village is one of the 15 villages in Kerambitan sub-district, Tabanan regency, Kerambitan village has 7 service hamlets. Kerambitan village population has more than 3,338 inhabitants consisting of 1,700 men and 1,638 women with a sex ratio of 103.79. . To realize good governance, it needs to be recorded well so that the information can be utilized by related agencies which can be used for receiving assistance.&#x0D; During this time the process of recording population events such as recording the receipt of assistance is done manually where the information is done in tabular form so it does not clearly describe the respective information groups.&#x0D; Data warehouse (DW or DWH), also known as enterprise data warehouse (EDW), is a system used for reporting and analyzing data, and is considered a core component of business intelligence, The purpose of building a data warehouse is to provide a system that allows the right data to reach the right end user at the right time. Thus, the main purpose of implementing this data warehouse system is to provide relevant and timely information in an easily understood format so that service decisions to the public can be made more efficiently and effectively.&#x0D; the purpose of this research is to form a data warehouse model scheme of population records owned by kerambitan village government and through modeling this data warehouse also provides reliable information from a collection of data, in addition this research also retrieves some information from the data warehouse in build based on kerambitan village population records&#x0D; in this study I chose to use the fact constellation scheme because there are fact tables that are interconnected with dimension tables and also fact tables that are related to other fact tables.&#x0D; The design model of the data warehouse is designed based on 3 excel table files, each of which has 1 table from the Government of Kerambitan Villages. In this case, 3 reports are proposed to be made based on the query results from the data warehouse.&#x0D; Through the application of a data warehouse that was formed, the executive or government can conduct analysis of the reports generated based on various dimensions that exist.
Markov Chains with Potentials That Are the Covariances of Higher Order Gaussian Autoregressive Sequences

Consider a class of k-th order autoregressive Gaussian sequences Gaussian autoregressive sequence-th order, for $$k\ge 2$$ . Let $$g_{1}, g_{2},\ldots $$ independent standard normal random variables and let $$ p_{i}>0$$ , $$i=1,\ldots ,k$$ , with $$\sum _{l=1}^{k}p_{l}\le 1$$ .
Training on Making Powerpoint Learning Media for Teachers at SDN 9 Singkawang

This service activity aims to increase teacher understanding and knowledge of the importance of learning media in learning activities in elementary schools (SD). In addition, this program also trains SDN 9 Singkawang teachers in designing and making instructional videos using powerpoint-based media. The specific target to be achieved is to increase teacher creativity in designing and using video learning media so that learning in schools will be more contextual. The method used in the implementation of this Community Service is in the form of counseling, training, and question and answer methods. This activity begins with observations in schools and related institutions / agencies in the first week. This was followed by core activities at SDN 9 Singkawang. The core activity is in the form of socialization activities about making instructional videos using powerpoint-based media for elementary school teachers at SDN 9 Singkawang. The target audience in this activity were elementary school teachers at SDN 9 Singkawang. This activity has been able to increase teacher knowledge about the urgency of instructional media and the development of forms of instructional media, especially those related to technological developments. This activity has also been able to improve the ability of teachers to operate computers or laptops, including loading powerpoint media and combining them.
Kesalahan Penulisan Kata dan Unsur Serapan Pada Teks Narasi Karya Siswa Kelas VII di SMP Muhammadiyah 7 Surakarta

Word writing is an activity of writing the elements of language in the form of words by fulfilling Indonesian language rules. Writing uptake elements is an activity of writing vocabulary elements originating from foreign languages by paying attention to Indonesian language rules. Writing words and absorbing elements should be considered by students when writing. But in reality, still found errors writing word and absorbing elements. The purpose of this study, namely: (1) Describe the writing of words in the narrative text of the work of class VII students at SMP Muhammadiyah 7 Surakarta. (2) Describe the writing errors of absorption elements in the narrative text of the seventh grade students of SMP Muhammadiyah 7 Surakarta. The method used in this research is descriptive qualitative. The data in this study were errors in writing words and absorbing elements from the narrative text of student work. Data collection techniques used are listening techniques and note taking techniques. The data analysis technique used is the method of sharing with marking and changing tecniques. The validity of the data uses theory triangulation. The results found 17 errors in writing basic2words, 23 errors in successive words, 4 errors in remodelling, 1 error in combined words, 31 errors in prepositions, 6 errors in particles, 1 errors in abbreviations, 7 errors in numbers and numbers, 8 errors in pronouns, 17 errors writing Arabic uptake elements and 9 errors of English uptake elements.
THE PROBLEM OF CHILDREN'S OPENNESS TO THE DESTRUCTIVE NATURE OF DIGITAL TECHNOLOGIES

According to such universal essential attributes of personality as freedom, love, creativity, value, uniqueness, integrity, togetherness1 we must feel the real, living nerve of the child – the problem of his existence as a defenseless and vulnerable person; receptive and gullible. In particular, we emphasize their irresistible openness to both positive and negative opportunities.