Reviewerly/exHarmony huggingface dataset:
A Potential Solution

Categories matter in First Amendment jurisprudence. The freedom of speech and its derivative rights1 work as a remarkably powerful immunity from ordinary law. Cabining and defining this immunity categorically serves to promote clarity and certainty that First Amendment freedoms will be there as a reliable shield even when deeply unpopular, and it also provides the flexibility to give sufficient weight to nonexpressive interests where appropriate. Categories can refer to discrete kinds of content deemed to receive less than full First Amendment protection, such as true threats, child pornography, and libel. Categories are also used to differentiate kinds of speakers – a government employee versus a private employee, an individual human being versus an associational entity comprising multiple human beings, the government versus a private corporation. Finally, categories are used to distinguish various platforms for expression, whether differentiating a public forum like a public park versus a private forum such as the inside of a private home; a privately owned public place like a shopping mall versus a limited public forum controlled by government that serves a narrow constituency, such as a system for registering and funding student organizations at a public university.
Automation and Robotics with the Roche Ventana BenchMark ULTRA

Roche’s answer to current immunohistochemistry automation is the Ventana BenchMark ULTRA. An evaluation of the machine’s design, operation and maintenance is provided from a user’s viewpoint. Technologies which differentiate Ventana from other manufacturers are discussed in detail. The liquid coverslip, hapten-based detection system and random access points are examples of these differences when compared to traditional coverplate and polymer technology as used by other vendors. A commentary about proprietary reagents and staining protocols are offered along with advice on achieving workflow efficiencies. Discovering quality control measures of the instrument is another topic covered. Ultimately, it is hoped the reader understands the intricacies of this platform and the advantages and disadvantages of such a system, and gains a sense of the technology behind the BenchMark ULTRA.
Machine Learning and Communications: An Introduction

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Introduction: Digitizing Borders, Cities, and Landscapes

This special issue asks what digital state-making means in border zones, cities, and landscapes. As a complement to discussions of such processes in cyberspace and virtual territory, we elaborate by exploring connections to physical territory. Authors provide firsthand accounts from a number of global locations where tech surveillance is especially apparent: the US-Mexico border; the city of Los Angeles; and the Uyghur borderlands of Northwest China. In these contexts, physical territory is important as a crucial linking point between massive databases in the cloud and technical systems on the land. It is where the state can surveil bodies and movements in order to identify them, codify them, and enter their features as data to be used later. This is happening at multiple levels of governance from national, regional, to city departments. And the differential impact on marginalized groups is evident throughout.
ANALISIS PROSES PEMBELAJARAN LITERASI DAN NUMERASI DASAR INKLUSIF SELAMA PANDEMI COVID-19

Inclusive learning is one solution amid the diverse abilities of students in schools, especially in the areas of literacy and numeracy. This study aims to analyze the implementation of inclusive literacy and numeracy learning in elementary schools. The focus of the study in this research is whether the school has implemented inclusive learning well? how is inclusive learning done? what are the obstacles faced by teachers in implementing inclusive learning? This research uses a descriptive qualitative approach. The use of this approach is based on a description of the teacher's behavior, perceptions, motivations, and actions during the implementation of inclusive literacy and numeracy-based learning. Data collection methods in this study include interviews, observation, and documentation. The instruments in this study include observation sheets for data collection in the field, interview guidelines conducted to confirm the learning activities carried out, and documents found in the field. The data analysis process includes the stages of data reduction, data presentation, and concluding. The results of the study found that schools had implemented inclusive literacy and numeracy learning well. The learning stages include building student readiness, reading stories/substations, and learning according to level. The biggest obstacles faced by teachers in inclusive literacy and numeracy learning are that some students refuse to be grouped based on level, the number of students who experience hyperactivity disorders, and protests from parents when students are grouped to a lower level.
Preprocessing Method Sensor Fusion of Stream MEMS Sensors Array Data to Build a MIMO Dynamic Model Anthropomorphic Manipulator

Any manipulative movement by an anthropomorphic manipulator requires high accuracy and speed. To determine the exact orientation of the robot&#x0027;s brush in space, many sensors are used, signal processing of which can be quite complex. The approach of processing signals from a heterogeneous array of sensor data using sensor fusion technology greatly simplifies this operation. The article discusses the approach of creating a MIMO model of an anthropomorphic manipulator with data processing of sensor fusion MEMS sensors. The test results show that with this approach, many disadvantages are eliminated, system performance is accelerated and accuracy is increased.
Quantized Federated Learning

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“CLASS: Cloud Log Assuring Soundness and Secrecy” Scheme for Cloud Forensics

Abstract-User activity logs can be a valuable source of information in cloud forensic investigations; hence, ensuring the reliability and integrity of such logs is crucial. Most existing solutions for secure logging are designed for conventional systems rather than the complexity of a cloud environment. In this paper, we propose the Cloud Log Assuring Soundness and Secrecy (CLASS) process as an alternative scheme for the securing of logs in a cloud environment. In CLASS, logs are encrypted using the individual user’s public key so that only the user is able to decrypt the content. In order to prevent unauthorized modification of the log, we generate proof of past log (PPL) using Rabin’s fingerprint and Bloom filter. Such an approach reduces verification time significantly. Findings from our experiments deploying CLASS in OpenStack demonstrate the utility of CLASS in a real-world context Keywords- Cloud Log, Cloud Computing, Virtual Machine, Cloud Server, Apache Tom cat, Java.
Data Concealment Using Steganography Technique

Abstract: Visual secret sharing (VSS) systems hide hidden images in shares that are also published on clarity or decrypted and saved in digital form. The shares can seem as noise-like pixels or as meaningful images, but this will raise suspicion and increase the risk of interception during transmission. As a result, VSS schemes face a transmission danger problem for both the secret and the individuals involved in the VSS system. To solve this issue, we presented a new palette-grounded steganography technique that uses a texture with LSB, as well as a natural-image-grounded VSS scheme (NVSS scheme) that shares secret images via colored carrier media to hide the secret and the actors during the transmission phase. To conceal secret messages, we convert the texture conflation process into steganography. Rather than using a being cover image to conceal dispatches, our algorithm conceals the source texture image and embeds hidden dispatches during the printing process. Prints or hand-painted filmland in digital or published form can be used for the natural shares. We also propose possible methods for concealing the secret in order to reduce the transmission threat problem for the share. The experimental results show that the proposed approach is an excellent solution to the transmission threat problem for VSS schemes. Keywords: visual secret sharing (VSS), steganography, natural-image-based VSS scheme (NVSS scheme), OR Code, Palette Based Steganography
The Invention and Use of CmapTools Software in Schools, Corporations, and Other Organizations

The chapter begins with a description of the first chance experience that shaped the future of my career, a meeting with a former Cornell PhD student, Bruce Dunn, who was interested in collaborating on research and invited me to do a sabbatical leave at the University of West Florida in 1987-1988. This in turn led to conversation with Dunn’s friend, Kenneth Ford, a new faculty member interested in artificial intelligence. We found that the use of concept mapping was highly facilitated for capturing expert knowledge in a fashion that rendered the knowledge easily applied in artificial intelligence settings. Ford became the director of the Institute for Human and Machine Cognition (IHMC) and he invited his friend, Alberto Cañas, to serve as associate director and to lead a team to create computer software for making concept maps electronically. We soon had available to us software that would work on almost any computer and that would not only allow the construction of concept maps, but also permit attaching digital resources to any map that could be accessed by simply clicking on icons on individual concepts. The software suite created became known as CmapTools, and this software suite is now used all over the world in virtually every field where organized knowledge is important.
Smart Verification System for Media File Using Blockchain

In this modern world where information is stored and shared in digital manner in the format of image, video, document privacy and authenticity of the data needs to be preserved which is not an easy task. It has become a major threat where data shared or stored can be tampered or manipulated with and it is very difficult to check for the same. The main principle behind this study is to provide a way to store data in secure manner with the ability to check its authenticity when the need arises. The proposed method integrates blockchain technology to the system which helps to add the media file to the system and store the 256-bit unique hash value generated through keccak-256 hashing algorithm into blockchain using Proof-of-Work protocol. The generated 256-bit hash is stored in blockchain is of immutable nature and it takes approximately 3.5*10^63 seconds to crack the 256-bit encryption. In cases where the need arises to check if the media file is tampered or manipulated it can be done by comparing hash of the media file against hash value that is stored in blockchain. If both hash values are exactly same then the media file is authentic and its integrity is preserved.
Structural Modeling of English Language Signal Based on Word Frequency Data Mining and Peak Analysis

This paper mines the keywords of related literature through word frequency data, and integrates the keywords. Using the word frequency analysis method, the research directions, research methods, and English language structural modeling of text mining at home and abroad in the past ten years are analyzed through the statistics of high-frequency keywords. Estimate peak analytical power in real time, and build a unit-unified dynamic power model. The experimental results show that compared with the model based on peak analysis, the total number of English instructions can better reflect the power consumption of English language structure 6%
PENERAPAN ALGORITMA K-MEANS UNTUK MENGANALISIS DATA PENJUALAN PADA TOKO AYU COLLECTION BERASIS WEB

The Ayu Collection store sells various types of clothing and accessories. One way to maintain the customers’ satisfaction is by keeping the stock of goods so that no items are empty. The seller must analyze which item data are selling well and which item data is not selling well, based on the sales report data. This problem can be solved by using one of the techniques in data mining, namely the K-Means Clustering algorithm. This research was intended to help the Ayu Collection, a shop in Blora City that sells clothing and accessories, classify its sales data to maximize its stock management. The variables used were the name of the goods, the data of incoming goods, the data of outgoing goods, and the stock of goods. The shop owner can see the results of grouping clothes and accessories that are best-selling and not selling well. Therefore, if there are products that are not selling well, the shop owner can look for other alternatives so that clothes and accessories that are not selling well can be sold. The methods used in the data collection were observation and interviews with the shop owner of the Ayu Collection store. The accuracy of this system reached 83.33% DOI : https://doi.org/10.33005/sibc.v15i1.2754
A boosting-based transfer learning method to address absolute-rarity in skin lesion datasets and prevent weight-drift for melanoma detection

Purpose Automated skin lesion analysis plays a vital role in early detection. Having relatively small-sized imbalanced skin lesion datasets impedes learning and dominates research in automated skin lesion analysis. The unavailability of adequate data poses difficulty in developing classification methods due to the skewed class distribution. Design/methodology/approach Boosting-based transfer learning (TL) paradigms like Transfer AdaBoost algorithm can compensate for such a lack of samples by taking advantage of auxiliary data. However, in such methods, beneficial source instances representing the target have a fast and stochastic weight convergence, which results in “weight-drift” that negates transfer. In this paper, a framework is designed utilizing the “Rare-Transfer” (RT), a boosting-based TL algorithm, that prevents “weight-drift” and simultaneously addresses absolute-rarity in skin lesion datasets. RT prevents the weights of source samples from quick convergence. It addresses absolute-rarity using an instance transfer approach incorporating the best-fit set of auxiliary examples, which improves balanced error minimization. It compensates for class unbalance and scarcity of training samples in absolute-rarity simultaneously for inducing balanced error optimization. Findings Promising results are obtained utilizing the RT compared with state-of-the-art techniques on absolute-rare skin lesion datasets with an accuracy of 92.5%. Wilcoxon signed-rank test examines significant differences amid the proposed RT algorithm and conventional algorithms used in the experiment. Originality/value Experimentation is performed on absolute-rare four skin lesion datasets, and the effectiveness of RT is assessed based on accuracy, sensitivity, specificity and area under curve. The performance is compared with an existing ensemble and boosting-based TL methods.
Creative Motivation and Flourishing – Psychological and Social Aspects

Creative motivation is considered in the context of personality structure and flourishing as an indicator of positive development. The aim of the present study is to explore the relationships in the field of creativity and creative motivation as factors for achieving psychological well-being and flourishing, as well as their presence within various psychological profiles. Hypotheses have been raised in order to measure the presence of creativity indicators within certain psychological types in relation to the level of creative motivation and flourishing. The survey instruments used are: Myers Briggs Type Indicator, Torrance Creative motivation scale and Diener Flourishing Scale. The results presented are based on a pilot study conducted in Plovdiv. The sample includes people in early adulthood, authentic folklore dance performers.
Students academic digital competencies in higher education: development of a cross-institutional model

This chapter presents a national initiative for creating a framework that develops academic digital literacy across higher education institutions in Denmark. The STAK project (Students' Academic Digital Competencies in Higher Education) is a 2-year cross-institutional project between five higher education institutions in Denmark. The project targets both capacity building within the institutions in relation to integrating 'expanded information literacy', as well as competency development of educational developers and teachers across the different institutions by way of collaboration and co-creation. In the chapter, the STAK project is introduced along with its research foundation, method for cross-institutional educational development and developed activities, digital competency pillars and categories for transforming higher education.
A study on the importance of entrepreneurial competency of early technology based-startups using AHP analysis

Recently, the number of technology based-startups is increasing due to digital transformation and COVID-19. Accordingly, despite the government's implementation of many policies to revitalize technology based-startups, the success rate of technology based-startups is insufficient. Therefore, it is time to study the entrepreneurial competency in order to increase the success rate of early-stage technology startups. This study aims to understand what competencies early-stage technology startups entrepreneurs should have and the priorities of competencies. In order to understand the priorities, the importance of entrepreneurial competency was analyzed using AHP(Analytic Hierarchy Process).&#x0D; The research results are as follows. In the case of the top factors of entrepreneurial competency, The most important factor was problem solving(.347), job competency(.284), interpersonal relationship(.220), and personal value(.149). The results wers also analyzed for each sub-factor. Finally, as a result of analyzing the complex reliability of top/sub factors, analytical thinking, creativity, and conceptual thinking ranked first to third in subfactors. This study suggested competencies that early technology entrepreneurs should prioritize. Through this, it can be used as evidence to establish the desirable direction of entrepreneurial competency.
Use of digital technologies in teaching «History»

Information technology development reached the qualitatively new level in recent years. Digitalization generated new opportunities of people’s interaction, the use of traditional sources of information and their interpretation, set the new objects for participants of educational process in the system of higher education. Federal standards of education set tasks of formation of universal competences4 many of them are formed at the non-core disciplines studying at the basis of studying. The article presents how it is possible to use digital technologies, forming at the same time the competences demanded in the professional sphere, during studying the traditional high school course "History".
‘Electronic communications media: how to regulate the hate!’

Information technology presents the law with ongoing challenges because of its ability to capture, debate and discuss the most intimate aspects of peoples’ lives. This article will consider whether, given the ease and lack of thought processes behind many online communications, the current statutory regulations in the UK are fit for purpose. In particular, it evaluates the consequences of adapting legislation to cover situations that the legislation was never intended to address. The Malicious Communications Act 1988, for example, was originally intended to cover offences that require contemplation and a series of actions and steps in order to make them out. This aspect of calculated and targeted harm is a significant feature of the offence: for example, letters need to be written, addressed, stamped, and posted. However, given the ease and lack of thought processes behind many online communications, extending the legislation to capture this new medium represents a stark transformation of the criminal sanction originally intended and has led to confusion at law. Furthermore, extending the Communications Act 2003 has not been the panacea many expected, and this will be evaluated in tandem. Conclusions will be drawn about the aptitude of the legislation for dealing with the complexities of online communications..
Secured and Quantum Resistant Key Exchange Cryptography Methods – A Comparison

The field of Cybersecurity methods and algorithms looks like a huge ocean. The selection of suitable methods is a challenging job based on the application. In the light of emerging new technologies, the selected cryptographic algorithm should be compatible with the new technology. This study helps in the selection of the appropriate key exchange cryptography method for a given application which requires secured communication. The strong, efficient, fast and quantum safe method chosen should further be analyzed, tested and verified for providing the desired throughput under heavy load conditions. The vulnerability of major cryptography algorithms to security attacks by Quantum algorithms is discussed in this study. The security level status of a few popular cryptography methods are compared with the post quantum resistant method of cryptography.
The introduction of modern digital technologies in the organization of extracurricular activities of schoolchildren

Digital technologies have firmly entered the lives of modern schoolchildren and teachers, who actively use many teaching and educational platforms, such as Uchi.ru, InternetUrok.ru, Universarium and others. The distance learning format is mastered not only in the system of general, but also in additional education. However, Russia is inferior to many countries of the world in the digitalization of education. The authors of the article propose to actively use extracurricular activities as a means of effectively developing the digitalization of education and creating an educational space in the region. It has long been recognized that extracurricular activities play the same important role in the assimilation of educational material as the main curriculum of the discipline. However, as practice shows, teachers and students often do not have enough time, knowledge and a banal desire to engage in this type of activity to perform extracurricular activities. This affects the general level of students’ knowledge of the subject, since their horizons turn out to be rather limited and compressed, extending only to topics from the work program of the discipline. For a more complete immersion in the subject, it is necessary to have extracurricular activities in the educational process of the student. Based on theoretical analysis and practical experience, the authors come to the conclusion that the use of digital technologies, in particular, working with a digital application for smartphones, arouses great interest among students in extracurricular activities and facilitates the process of achieving the planned educational objectives.