Reviewerly/exHarmony huggingface dataset:
Cryptocurrencies and Drug Trafficking: A Primer for Ohio Prosecutors and Law Enforcement Agencies

The use of cryptocurrencies has grown over time, and this growth may be attributed to the asset’s ability to transfer funds anonymously (or pseudo anonymously), globally, and with little cost and skill. Additionally, cryptocurrency transactions are irreversible. While these features may be attractive for many individuals seeking to complete lawful transactions, they may also be attractive features for those seeking to complete unlawful transactions. Importantly, research shows that cryptocurrencies are being used for a wide range of illicit activity, including drug trafficking. In fact, some reports find that cryptocurrencies are the preferred method of payment for some drug traffickers. Further, there is evidence of cryptocurrencies being used for drug trafficking and related activities in Ohio. The purpose of this report is to provide a brief description about cryptocurrencies and cryptocurrency transactions, so that Ohio prosecutors and law enforcement agencies are better-prepared to identify situations where cryptocurrencies are being used for illicit actives. Being able to identify situations where cryptocurrencies are being used for illicit actives could meaningfully impact drug interdiction and asset forfeiture efforts.
The Effects of Word Frequency Distortions Occasioned by Compounding on the Automatic Indexing of Yorùbá Text

Contemporary developments in information communication technology (ICT) coupled with relatively easy access to the Internet as a global repository of most of the information produced by humanity today is creating a seeming information glut. By virtue of the present volume, velocity and variety of available information, the manual management of this bulk of information has become a practical impossibility. This has resulted in a need to automate the retrieval of unstructured information stored in texts such as prose and poetry as against the structured information stored in databases and look-up tables. These unstructured information sources feature natural language, bringing about a need to consider the language in which the information they contain are stored. There are vital commonalities in all human Languages, yet there are equally important unique elements in each. Methods for the retrieval of unstructured information stored in many European and Asian languages have been developed and are in productive use. Even though Africa contributes about a third of the languages spoken in the world today, very few if any African languages have benefited in any significant way from the automatic retrieval of information in unstructured information sources. This study addresses the issue of information retrieval from Yorùbá prose. The popular “term frequency-inverse document frequency” model for the automatic extraction of index terms from unstructured text was applied to the book Aké: Ní Ìgbà Èwe, the Yorùbá translation (Niger-Congo) of Aké: The Years of Childhood, written by Wole Soyinka and translated by Akínwùmí Ìsòlá. The liberal use of compounding in Yorùbá morphology was found to produce frequency distortions that would demand attention if the “term frequency-inverse document frequency” model is to be used for the automatic extraction of index terms from unstructured information sources written in Yorùbá.
Cultural reproduction in the education system: balance of traditions and innovations in the new digital reality

The article is devoted to the study of existing approaches to the reproduction of culture in the education system. At present, the problems of cultural reproduction in the education system are of particular relevance due to the accelerating pace of changes in society. Unification of cultures and way of life leads to the threat of loss of traditional values along with the acquisition of new ones. In such conditions, one of the main guarantors of the traditions preservation, that is, the reproduction of traditional cultural values remains the education system. At the same time, the rapid change in the educational space associated with the digital revolution is causing changes in the role of educational institutions as a translator of traditions. All these factors actualize the development of a new approach to the reproduction of culture and its research. The object of the research is cultural reproduction in the education system; the subject of the research is the features of cultural reproduction in the education system in modern conditions. The purpose of the study is to identify possible approaches to the reproduction of cultural values in modern conditions. The research objectives are to study the main approaches to cultural reproduction in the educational system; to identify contradictions between existing approaches and the reality of the modern educational space; to determine the relevance of developing a new approach to the reproduction of culture in the educational system. Synergetic and diachronic approaches are the methodological basis of the study and allow us to analyze the processes of culture change over time. General scientific methods (theoretical analysis, systematization, generalization, analysis of sources on the topic) made it possible to identify the development of methodological approaches to the study of cultural reproduction and put forward a position on the need to develop a new approach. Having analyzed the existing methodological approaches to the study of the reproduction of culture in the education system and having studied the problem of the loss of traditional cultural values, the author proposes the development of a new approach based on the reproduction of cultural heritage in the education system in the new digital reality
GPU-based Fast and High Precision Digital Speckle Projection 3D Reconstruction Method for Disk Type Suspension Insulator

Aiming at solving the problems that the structural parameters of disc insulators are still measured manually with low measurement efficiency and precision, a fast and high precision random speckle 3D reconstruction method based on GPU acceleration for insulators is proposed. This method uses random speckle projection to increase the texture details of the measured object, and proposes a high-precision disparity matching algorithm-a semi-global stereo matching algorithm based on reverse synthetic Gauss-Newton iteration (ICGN-SGM) to obtain dense and high-precision disparity data, and then based on the parallel computing architecture CUDA performs parallel acceleration of the matching algorithm to improve computing efficiency. Experimental results show that the proposed method can accurately, densely and completely restore the three-dimensional shape of insulators, the reconstruction accuracy is better than 0.06mm, and the reconstruction speed can reach 5 fps.
A Look Behind the Curtain: Exploring the Limits of Gaze Typing

Text entry in Augmented and Virtual Reality applications remains a major challenge for a comprehensive and ubiquitous usability of this technology. Therefore, researchers have proposed several solutions for text entry in Augmented Reality. Hands-free gaze typing is a popular approach to ensure mobility and both fast and accurate typing. However, prior studies struggle with the missing expertise of participants. We propose a study design that eliminates the learning process and gives an outlook to future gaze typing performance. In particular, we focus on the time-dependent effects of different dwell times on typing performance. By focusing on user-specific limitations, the results of this study are a prerequisite to user-adaptive gaze typing without fatigue.
Theoretical Background of steganography

Steganography deals with hiding the secret information in the cover medium with as minimum distortion as possible. Three types of hiding; text hiding, speech hiding, and encrypted text hiding in coded images are presented in this paper, also the challenges and future directions are presented
Deep Reinforcement Learning with a Classifier System – First Steps

Organic Computing enables self-* properties in technical systems for mastering them in the face of complexity and for improving robustness and efficiency. Key technology for self-improving adaptation decisions is reinforcement learning (RL). In this paper, we argue that traditional deep RL concepts are not applicable due to their limited interpretability. In contrast, approaches from the field of rule-based evolutionary RL are less powerful. We propose to fuse both technical concepts while maintaining their advantages – allowing for an applicability especially suited for Organic Computing applications. We present initial steps and the first evaluation of standard RL scenarios.
Video Steganography Encryption on Cloud Storage for Securing Digital Image

Cloud storage is a data storage service in cloud computing that allows stored data to be shared and accessed via the internet. Cloud storage is usually used to store personal data such as files, photos, or videos with so that these data can be accessed anywhere via the internet without the need to use physical storage media. However, cases of data leaks in cloud storage still occur which causes personal data stored in cloud storage to be accessed by other people who do not have access.&#x0D; The Client-Side Steganography Encryption on Cloud Storage Application was developed using the Modified Least Significant Bit (LSB) method and the Standard Advanced Encryption (AES) algorithm. This desktop-based application was developed to protect personal data of digital images embedded in a video so that unauthorized parties cannot view the data. This application is expected to be a data security solution on cloud storage to prevent theft of personal data by non-existent parties.&#x0D; From the test results, the developed application can receive input, process input, and produce the desired output. The image from the extraction process from video also does not change at all in terms of visual or visible. The results obtained from this test is the PSNR value with an average of 36,395 dB. A good PSNR value is above 30 dB and indicates that the quality of the extracted image is good and also indicates that the developed application can protect data of digital images into video.
PENGARUH STRATEGI PEMBELAJARAN PENINGKATAN KEMAMPUAN BERPIKIR DALAM MENULIS KEMBALI ISI TEKS BIOGRAFI

This study aims to determine the effect of learning strategies to increase thinking skills in rewriting the content of biographical texts in class X SMA Negeri 11 Palembang in the 2020/2021 school year.This research is an experimental research.Determination of the sample is purposive sampling so that the sample is class X IPS 5 as the control class and X IPS 6 as the experimental class.Data collection in this study used a test of student learning outcomes in the form of questions to rewrite the contents of the biographical text.The data obtained by using the two difference test means (t-test).From the results of the study, it can be seen that the class that uses the Thought Enhancement Learning Strategy has a higher average score (75.16) when compared to students who use conventional learning strategies (67.73).While the t-test calculation value obtained t-count is 6.753.Thus the previously stated hypothesis can be accepted at the 95% confidence level.This is because in the learning strategy to increase thinking skills, students are guided to be able to develop their abilities and potential, while in the control class using conventional learning strategies students receive more information from the teacher.
Mobile Forensic of Vaccine Hoaxes on Signal Messenger using DFRWS Framework

The COVID-19 pandemic is one of the factors that has increased the use of social media. One of the negative impacts of using social media is the occurrence of cybercrime. The possibility of cybercrime can also happen on one of the social media platforms, such as the Signal Messenger application. In the investigation process, law enforcement needs mobile forensic methods and appropriate forensic tools so that the digital evidence found on the perpetrator's smartphone can be accepted by the court. This research aims to get digital evidence from cases of spreading the COVID-19 vaccine hoaxes. The method used in this research is a mobile forensics method based on the Digital Forensic Research Workshop (DFRWS) framework. The DFRWS framework consists of identification, preservation, collection, examination, analysis, and preservation. The results showed that the MOBILedit tool could reveal digital evidence in the form of application information and contact information with a performance value of 22.22%. Meanwhile, Magnet AXIOM cannot reveal digital evidence at all. The research results were obtained following the expected research objectives.
Note al testo e alla traduzione

The aim of this article is to offer a textual analysis of the short stories translated by Silvia Cavalletto and some very interesting notes regarding the Chinese translation of A China fica ao lado
E-government use and rebuilding trust: satisfaction with e-services as a mediator

This study intended to investigate the impact of using e-government on rebuilding the trust of citizen in the government through suggesting satisfaction with e-services as an intermediary variable. A descriptive-quantitative-exploratory approach was adopted by designing a self-administrated questionnaire for data collection purposes. Through convenience sampling, data was collected, and the sample comprised 397 individuals, who are citizens and users for e-government in Jordan context. SMART Partial Least Squares was adopted for analysis purposes. Results reported a significant direct impact for e-government using on rebuilding citizen trust (R2 = 26.1%), and a significant impact for e-government using on promoting satisfaction with e-services (R2 = 57.3%), and a significant impact for satisfaction with e-services on promoting citizens' trust (R2 = 41.3%). The analysis also reported a significant indirect effect (0.452) supporting the suggested role for satisfaction with e-services as a full mediator. Following the gathered results, directions and recommendations for future studies were provided.
Development of Hiryu-III: A Super Long Reach Articulated Manipulator Driven by Thrusters

We proposed a long-reach lightweight articulated arm ”Hiryu-III” using weight-compensation with thrusters and a wire-pulley system. This robot uses a wire-pulley system to keep the thruster horizontally, however the elastic deformation of the plastic tensioner causes insufficient rigidity of the pitch axis. We changed the fastening method between the tensioner and the shaft from key and keyway to a hexagonal shaft and hole. Additionally, we conducted experiments to confirm the improvement of the stiffness of the pitch axis. In addition, we conducted experiments with a 3-link prototype, and found a problem of accumulating error of the yaw joint axes. To solve this problem, we proposed a mechanism reversed upside down.
The digital “militant democracy”: An analysis of platform regulation in Germany and at EU level

Germany introduced with the Network Enforcement Act in 2017 and the Interstate Media Treaty in 2021 a novel approach to platform regulation which goes further than in many other jurisdictions that have few or no or comparable measures in place. The new provisions could be seen as either ambitious or as going too far in meddling with the workings of private online actors. This paper examines the relevant measures in light of the notion of a “militant democracy”. Germany has been classified as a militant, democratic state given how its constitution and regulatory frameworks respond to anti-democratic threats. A link can be made between the objective of militant democracy and the German approach to hate speech. The foundation for both is the protection of human dignity, which constitutes an absolute value under the German constitutional law and may not be balanced with other fundamental rights. Examining the Network Enforcement Act and the Interstate Media Treaty, this paper finds that the classification of Germany as a militant democracy holds true in an online context. These measures are direct responses to novel threats to a fruitful public discourse, to the human dignity of individuals and ultimately to the democratic system at large. In its response to these threats, the German legislator adopts a divided approach towards online platforms, regarding the latter both as a potential ‘breeding ground’ for online hate, as well as potential allies when it comes to actions against infringements by individuals. This paper will discuss the nuances and challenges of the German approach and draw a comparison with the relevant provisions of current and future EU law, such as the E-Commerce Directive and the Digital Services Act. Despite sharing many of the same objectives, points of (potential) collision between the German and EU approaches are identified. Ultimately, both legislators have identified the need to act against online hate and online threats to a democracy, including a need to provide a stricter framework for platforms. The legislative measures discussed in this paper are some of the first instruments which pursue these goals in the field of platform regulation and oftentimes precision is still lacking in the formulation of relevant provisions.
Auxiliary Offloading Optimization Method for Hierarchical Federated Learning

Materials genetic data engineering is booming, and with it comes the problem of data islands and other issues faced by the materials genetic database. While federated learning solves the problem of material genetic data engineering, it also has the problems of low model accuracy and high delay. In this paper, an auxiliary offloading optimization method for hierarchical federated learning is designed. Under the hierarchical federated learning system model based on cloud-edge-end, the data offloading algorithm under unbalanced data balances the data volume of each client, reduces the local gradient difference and the model accuracy of hierarchical federated learning is improved; under the condition of limited resources, a low-delay-based hierarchical federated learning offloading strategy is designed to computing offloading, which reduces the delay of hierarchical federated learning in the training and updating process. Through experiment analysis, the auxiliary offload optimization method of hierarchical federated learning proposed in this paper has higher model accuracy and lower delay than traditional federated learning methods.
Optimization Research on Wisdom Tree and Tencent Classroom under Computer Artificial Intelligence Algorithm

This paper adopts the hybrid online teaching mode of “Wisdom Tree + Tencent Classroom” in the online teaching courses of colleges and universities. This paper analyzes the platform, teaching design, implementation, and effect of online teaching and discusses how to improve the effectiveness of online teaching. This paper adopts HTML5 and JSP technology to realize the design of the AI course algorithm visualization auxiliary teaching platform. At the same time, we spliced the abstract algorithm of artificial intelligence frame by frame through pictures to form a dynamic visualization demonstration process and applied it to the artificial intelligence course experiment. The results show that the 16 classic experimental algorithms of artificial intelligence courses included in the platform can be clearly and dynamically demonstrated.
Learning Cross-Domain Features for Domain Generalization on Point Clouds

Modern deep neural networks trained on a set of source domains are generally difficult to perform well on an unseen target domain with different data statistics. Domain generalization (DG) aims to learn a generalized model that performs well on the unseen target domain. Currently, most DG approaches are applied to images, and there is less related research in the field of point cloud. In this paper, we propose a novel cross-domain feature learning network architecture for DG on 3D object point clouds, which learns domain invariant representation via data augmentation and hierarchical features alignment (HFA). The data augmentation is empowered by two subtasks: (1) A point set mask on source data such that some parts of the point cloud are removed randomly, to capture domain-shared representation of semantic categories; (2) A linear mixup of different source domain point cloud samples, to address the large domain gap between different domains. HFA is used to align multi-level local features and narrow the distribution distance between different domains. Since there is no common evaluation benchmark for 3D point cloud DG scenario, we experiment on the PointDA-10 and PointSegDA datasets, and extend point cloud domain adaptation (DA) methods to DG for comparison. Our method exhibits superiority in classification and segmentation accuracy over state-of-the-art general-purpose DA methods.
The Role of the BAKUNG Village Library in Fostering a Culture of Community Literacy in Sidoarjo Regency

The rapid development of technology and science makes information important for people in everyday life. To cultivate an interest in reading, people need special attention from various parties, namely schools, parents, government and libraries. Libraries become a bridge that connects information sources with their readers, so that their existence is very important, namely as a means of learning media resources. The purpose of this study is to describe and analyze the implementation of the village library's role in fostering a literacy culture to increase people's reading interest and to analyze and describe the supporting and inhibiting factors of the village library's role in fostering a literacy culture to increase people's reading interest. This research is a qualitative research, using case study method. The subjects in this study were the village head, the community, and the Rejeni village librarian. Data collection techniques used in this study were observation, interviews and documentation. Meanwhile, the data analysis and interpretation techniques carried out were in accordance with those proposed by Miles and Huberman, namely data reduction, data presentation and data verification. The results of this study indicate that the library has a very large role in increasing people's reading interest in fostering a literacy culture. However, in order to achieve the desired goal, the steps that must be carried out are to provide complete book collections, complementing existing facilities and infrastructure, so as to be able to create a comfortable library atmosphere and excellent and superior library services. While the influencing factors are service hours during the pandemic, lack of facilities related to IT, good cooperation between employees, and incomplete book collections.