Reviewerly/exHarmony huggingface dataset:
Research on Contour Detection Model Based on Primary Visual Path Response Mechanism

Considering the subjectivity of the contour detection task and the characteristics of the visual nerve, the traditional contour detection models simulate the surrounding suppression effect of the non-classical receptive field in the V1 area, and affect the primary contour map. This paper proposes a new model that involved the frequency domain separation characteristics and feedforward compensation in the visual pathway based on the traditional contour detection model. This paper takes the sub-high frequency part of the input images as the suppression template and combines the OTSU classification algorithm to initially determine the texture area to be suppressed. The primary contour map is fed forward to the response after multiple suppression to ensure the rapidity and completeness of the final response. Experimental results show that this model has higher performance indicators than the traditional models. While suppressing the background texture, it retains more right contours.
The Pandemic, Artificial Intelligence, and Algorithmic Governmentality

During the past decade, states, smart cities projects and GAFAMs (Google, Amazon, Facebook, Apple, and Microsoft) have been competing fiercely in the development of artificial intelligence (AI). The socio-political crisis linked to the pandemic has accelerated the implantation of AI at all levels in society, often without the necessary democratic approval. This process has increased hopes, fears, and debates about the capacity of AI to transform our societies in a sustainable way. Based on the debates surrounding the tracking applications in Quebec, this chapter intends to highlight the concept of algorithmic governmentality to show how AI’s advocate aims re-globalize modes of subjectivity governance based on algorithmic rationality.
Slam Poetry Meets Classical Music

Axel Petri-Preis outlines in his text, how Jonas Scheiner and Henrik Szanto (alias Kirmes Hanoi/FOMP), together with the woodwind ensemble qWINDtett, bring together slam poetry and classical music in their performance. Text and music comment on, reflect and compliment each other, providing an exciting and novel listening experience.
Research on Intelligent Semantic Recognition and Self-Organizing Feature Mapping of Chinese Linguistics Under Big Data Informationization

In order to study the intelligent semantic recognition of Chinese linguistics under the informationization of big data, this paper designs a set of quantified pressure index system, and introduces a self-organizing feature map (SOM) neural network model with strong clustering and fault tolerance. Explain that on the basis of the SOM network model and algorithm, apply the clustering function of SOM to construct the SOM network model in MATLAB language, showing the visualization characteristics of the self-organizing feature map of Chinese linguistics for clustering, including the visualization and clustering process. Visualization of clustering results.
A Methodology for Incorporating Quality Assurance Practices during Software Development Life Cycle

The aim of quality assurance in software development is to ensure that a software product meets its practical business specifications and quality requirements. A comprehensive overview of different software quality requirement and quality assurance practices have been performed to find out the most appropriate software quality assurance practices at different stages of the software development life cycle (SDLC). A methodology along with its implementation during SDLC has been proposed in this research paper. The proposed methodology will help software development teams to achieve quality assurance goals during software development.
Aspects and Narrative meanings of Neokgeonjigigut(넋건지기굿) in &lt;Munyeodo(무녀도)&gt;

In the narrative of <Munyeodo(무녀도)>, in order to comprehensively understand the transmission of the story of the speaker I and the transmission of the picture ‘Munyeodo(무녀도)’, ‘Neokgeonjigigut(넋건지기굿, a ritual of the sipirit salvation)’, which connects the end of the narrative and the tradition You need to figure out if it’s playing a role. Therefore, In this study attempted to clarify the ritual character and meaning of <Munyeodo>, focusing on the aspects and narrative functions of the ‘Neokgeonjigigut’ in <Munyeodo>. To this end, the new meaning of <Munyeodo> was investigated based on how the ritual characteristics of ‘Neokgeonjigigut’ appeared in <Munyeodo> and what functions were performed in the process of the narrative. This is meaningful in discovering the value of an open narrative that aims for reconciliation rather than conflict and confrontation by discovering the integrated thinking unique to the Korean people in the narrative of <Munyeodo>.
Advanced regulatory skills and practical evidence gathering

It is important to gather and interpret evidence correctly for enforcement purposes. Some requirements are set out in the relevant act or regulation, whilst more widely, practitioners must have regard to proper enforcement protocol. Practitioners must ensure accuracy in establishing property control or management responsibility which must be fully investigated and correct. Powers of entry and inspection must accord with relevant legislation, including seeking a warrant where necessary. Evidence needs to be carefully and properly collated contemporaneously and kept securely, accompanied by witness statements. The evidence may contribute toward a Banning Order or entry onto the Rogue Landlord database. Advanced regulatory skills are essential in successful outcomes for individual, sometimes highly complex cases.
Dynamic Security Mechanism for Lightweight IoT Devices Access to Blockchain Services

Internet of things (IoT) devices are usually unable to run a full blockchain node or even a blockchain Software Development Kit (SDK) client due to limited hardware resources. To let IoT devices be able to securely connect to blockchain services, a design based on blockchain SDK proxy node is proposed. The blockchain SDK proxy node runs the blockchain SDK client. IoT devices just need to construct and sign the blockchain transactions, then send the signed data through Application Programming Interfaces (APIs) provided by the proxy node. The proxy node forwards the data to the blockchain network. However, a static proxy node will become the single point of performance bottleneck and failure, which is vulnerable for DDoS attacks. To further improve the security, a mechanism of dynamically selecting a proxy node is designed to make IoT devices access to blockchain services safely and efficiently.
System for Verification Using Blockchain: Demonstration of PAN Cards, and College Transcripts Verification

Verification is one of the most important factors of security and trust in this modern society, whether it is verification of college transcript for admissions, PAN cards for banks, Aadhar cards for voting, etc. Today’s online verification processes are complicated and prone to cybersecurity attacks like data tampering and server hacking, and due to all these issues, trust between two entities can be compromised during the verification process. In this paper, we propose a new Blockchain- based architecture for the verification of the data in cyberspace. Blockchain technology is a modern disrupting technology that can be used to solve this issue. We also demonstrate a prototype of the system for the Indian PAN Card and college transcript.
Information Literacy as a Meta-Literacy Prerequisite for Teaching and Learning in an ICT Environment

Post-apartheid South Africa has seen an unequal spread of skillsets and resources which has entrenched the pre-existing divide and hampered equal learning opportunities and education for all. The onset of COVID-19 saw online learning become the mode of delivery for continuing the academic year. However, contextual challenges to information literacy became evident as schools with a deficit of ICT infrastructure were restricted in their ability to participate in e-learning solutions. This chapter uses a theoretical approach to explore the challenges facing educators teaching benchmark information within a multiliterate-based ICT environment in the South African context. By underscoring the role of information literacy as a prerequisite for meta-literacy in an ICT-based teaching and learning environment, this chapter encompasses a desktop review of peer-reviewed literature in the form of academic articles, reports and theses. Framed through critical emancipatory theory, this study first explores 21st-century socio-economic influences impacting effective information literacy within an ICT environment, while further underscoring the need for ongoing teacher development in both subject-specific and generic skillsets which inform the use of ICT systems to convey relevant and meaningful learning experiences. This study points to the need to learn from the impact of COVID-19, especially considering the fourth industrial era challenges which necessitate advanced meta-literacy skillsets that promote contextually relevant and reliable e-learning in a post-truth world.
Penerapan Firewall Dan Protokol IpSec/L2TP Sebagai Solusi Keamanan Akses Jaringan Publik

Firewall is an algorithm that allows filtering activities to determine access restrictions on a komputer that can use Publik network access and which komputer s cannot pass through Publik network access, this is commonly called filtering. As time goes by, the development of today's technology is increasing rapidly. that the sophistication of technology is a major influence in facilitating human life. Based on this, the authors create a Firewall and IpSec/L2TP Protocol as a Security Solution for PT.Neu Indonesia, which aims to prevent attacks on the types of malware found on a site circulating on Publik networks by filtering it with the use of the firewall itself so that the risk of crime in the cyber world can minimize the occurrence of illegal access that can enter the PT.Neu Indonesia network.
Abusive language detection using customised BERT

Freedom of expression and speech is widely misused in social media today. Unfortunately, the content shared on these platforms contains abusive content which is in multiple forms. This humongous amount of text requires automated detection of abusive language. This is a challenging problem because of a lot of noise, large vocabulary, context-dependency, and multilingualism. Deep learning (DL) models are being used due to the inefficiency of regular expressions, blacklists, and machine learning approaches. Hence, we have used neural language models for extracting high-quality features from the text. This paper demonstrates the usage of the natural language processing (NLP) model, bidirectional encoder representations from transformers commonly called BERT to perform various classification techniques. We have presented the results of fine-tuning the BERT pre-trained model for abusive language detection. The empirical analysis of offensive language identification and toxic comment classification datasets showed that these architectures achieved better results than existing models.
Effects of Depth Perception Cues and Display Types on Presence in the Elderly within a 3D Virtual Store

Many of the increasing elderly population have problems performing daily tasks due to restricted mobility, inconvenience, and/or fear of crime. Computers at home with an Internet connection can provide this relatively immobile population with a new channel to access information and services, including the ability to shop. Virtual environments (VEs) technology applied in web shops is its ability to provide a 3D perspective to customers for more real sense on goods and shopping environment. A sense of presence is one of the critical components required by any effective VE. In contrast, when the quality of depth perception cues is poor, whether the cybersickness for the elderly will be easily caused to influence the feeling of presence and performance of goods-searching or not? An experiment addressed associations between presence and cybersickness, and performance of 3D virtual store in the elderly participation with autostereoscopic, stereoscopic and monocular display in good/poor depth perception cues. Results showed that the virtual store via autostereoscopic display with high quality depth perception cues will produce good sense and realism in stereopsis. However, if the depth perception cues are poor, don’t use 3D displays especially stereoscopic display; otherwise the elderly may lose the interest in 3D virtual store because of cybersickness being serious even more than monocular display.
Kemampuan Menciptakan Kembali Teks Anekdot Dengan Memperhatikan Struktur Dan Kebahasaan Pada Siswa Kelas X SMA Negeri 6 Mataram

Based on obtained reality researcher during do observation beginning on during the learning process Indonesian at SMA Negeri 6 Mataram is ability student in create return text anecdote still low. That thing seen when the teacher tells student make text anecdote , student not enough understand method compile or produce text anecdote with good and right. The research design used in this research is quantitative research. The population in this study were all students of class X SMA Negeri 6 Mataram totaling 376 students. Sample is a class X student odd semester SMA Negeri 6 Mataram for the academic year totaling 31 people. Method data collection is observation, task and documentation. The data analysis method in this study is a quantitative descriptive method. The results of this study found that the ability to recreate anecdotal texts by paying attention to structure and language was classified as cumulative performance index (IPK) 70 on normal category. This thing caused because part big student capable explain the structure of anecdotal text, explain language anecdotal text, and write return text anecdote with pay attention structure and his language.
Designing Usable, Yet Secure Authentication Services: A User-Centric Protocol

User authentication is a vital and critical service in many modern interactive applications including online banking, commerce, government as well as critical infrastructures protection. Such critical software systems should provide highly secure services for establishing if user access should be granted or not. As it will be highlighted in this paper, there is an intrinsic conflict between creating user authentication services that are secure, yet easy to use by the end-users. Our main goal is to adopt a human-centric approach which consists to study the intimate relationship between usability and security before the user authentication service has been implemented and deployed. We propose a framework that models the usability and security symmetry meaning the security consequences of usability issues. It suggests a novel usable security protocol through an inspection method named Usable Security Symmetry for dealing with usable security of user authentication methods that in turns will guide the development of truly secure and usable user authentication systems. The framework uses NGOMSL (Natural Goals, Methods, and Selection Language) to understand the user cognitive processes involved in user authentication while helping to identify and model the diverse situations of conflict between usability and security attributes.
Design and Development of Blockchain-Based Security and Privacy-Preserving System

Blockchain offers the potential for creating the latest business models and trust issues can be solved in a structured way. It conducts many business innovations and research opportunities. Industry and academia present many solutions of blockchain root software, including the extensive reach of domains. A system design is shown in the paper where blockchain technology will be present in the healthcare system. In this, the essential information among the hospitals is going to be shared concerning medical analysis. Patients define research institutes and medical clinics root on approach policy. For the protection of confidential data, 2 types of chains are used by our solutions—a private one. It is also known as a sidechain that stores a patient’s accurate ID data. The public one is also known as the mainchain that keeps patients’ temporary ID health marked data. With the use of the Hyperledger framework, we have developed a design to test it. The present result of the experiment shows the better performance of a system concerning the given metrics: Nikoloudakis et al. (Peer-to-Peer Netw Appl J 2019 [1]) to recognize the patient’s medical data time required by observing the turnaround time. It shows that the proposed approach gives better performance and security.
<i>Eugene K’s “Physics Videos” features “Black Holes as you’ve never seen them”</i>

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Crackdown on cryptocurrencies

The launch of specialist teams to tackle blockchain crimes and scams shows the issue has become too big to ignore, says Chris Stokel-Walker
Performance Evaluation and Implementation of Tasks in Virtual Machines

In the present situation, it may be essential to build a simple data sharing environment to monitor and protect the unauthorized modification of data. In such case, mechanisms may be required to develop to focus on significant weakened networking with proper solutions. In some situations, block chain data management may be used considering the cloud environment. It is well understood that in virtual environment, allocating resources may have significant role towards evaluating the performance including utilization of resources linked to the data center. Accuracy towards allocation of virtual machines in cloud data centers may be more essential considering the optimization problems in cloud computing. In such cases, it may also be desirable to prioritize on virtual machines linked to cloud data centers. Consolidating the dynamic virtual machines may also permit the virtual server providers to optimize utilization of resources and to focus on energy consumption. In fact, tremendous rise in acquiring computational power driven by modern service applications may be linked towards establishment of large-scale virtualized data centers. Accordingly, the joint collaboration of smart connected devices with data analytics may also enable enormous applications towards different predictive maintenance systems. To obtain the near optimal as well as feasible results in this case, it may be desirable to simulate implementing the algorithms and focusing on application codes. Also, different approaches may also be needed to minimize development time and cost. In many cases, the experimental result proves that the simulation techniques may minimize the cache miss and improve the execution time. In this paper, it has been intended towards distribution of tasks along with implementation mechanisms linked to virtual machines.
Memorability

In the world of visual memory, we often focus our study on the process of memory, but equally important are the inputs to the process—the images we are remembering. A growing body of work has shown that images have a strong power over what we will remember or forget; images have an intrinsic memorability that causes them to be remembered or forgotten across people. In this chapter, I describe our current understanding of memorability as a stimulus property, and its relationship to various aspects of vision and memory. The memorability of an image remains consistent across people, tasks, images, and timing, and shows specific stereotyped patterns in the brain that are separate from those of perception and memory. Recent evidence has proposed that memorability could represent how perceived inputs are prioritized for memory encoding. Although there is currently no comprehensive model of what makes something memorable, deep learning has shown strides in being able to predict and manipulate the memorability of an image. Armed with the memorability scores of an image, one can then create high-powered memory experiments, or develop tests that can more efficiently identify cognitive decline. There are still many open questions about memorability, but a deeper understanding will promise to give us agency over our memories and the images that create them.
Automatic Sarcasm Detection in Dialectal Arabic Using BERT and TF-IDF

Natural Language Processing is very challenging because of the smart nature of natural language, which has multiple forms and beyond linguistics is very region-dependent. Sarcasm is one of the most difficult problems for sentiment analysis algorithms. Its complexity comes from the use of implicit indirect expressions to convey opinions. Sarcasm is highly context-dependent, a sentence is only inferred to be sarcastic by mastering the dialectal form of language in which it is written and by knowing well the context as well as the idioms used in this language. In this research, we present a novel framework based on the combination of the BERT model and the TF-IDF words representation. The model we propose includes a feature engineering module based on BERT transform and a weighted TF-IDF to extract features that are fed up to an SVM classifier. We validate the model on two datasets representing 5 Arabic dialectal forms and manage to improve F1-score by 0.13 for the ArSarcasm dataset.
Problem solving

An inevitable and ongoing challenge for the security manager is the need for problem solving. The ability to solve problems has proven to be the Achilles heel of many new security managers. When faced with a problem with no apparent solution, which can be a reality in real life, let alone in a security organization, the task of resolving the issue is that of the security manager alone. This chapter outlines the strategy for solving problems encountered by security managers. It is a procedural process, with the following steps to be taken sequentially: (1) identify the problem; (2) define the cause of the problem; (3) explore all possible solutions to the problem; (4) select the best and most reasonable solution; (5) implement that solution; and (6) evaluate the results. Finding solutions to problems can be an exciting challenge and the results may not only solve the problem but also bring about other unexpected and positive changes.
Sistem Penguburan di Situs Doro Mpana, Dompu, Nusa Tenggara Barat.

In the Neolithic Period, megalithic cultures emerged that worshiped ancestral spirits, because they were considered to provide welfare and protection to the living. One of the community's activities is the burial of corpses which produces different forms of megalithic buildings. One of the cultural products of the Megalithic tradition is the Doro Mpana site. The excavation findings from 2018 to 2019 were in the form of pottery fragments, ceramic fragments, Dimpa stones, stone artifacts, fragmentary skeletons (skulls, bones and human teeth), and metal objects. The purpose of this study is to understand the burial system and the aspects behind it using religious theory and social stratification theory. Data collection methods consist of observation, interview, literature study, and documentation techniques. Typological, Contextual, Comparative, and Ethnoarcheological analysis methods are also used. The results of this study can reveal the burial system at the Doro Mpana site, namely secondary burial and primary burial carried out in a sitting/folded posture with an orientation (original home of forefather) and a supine position with an orientation (celestial orientation) and accompanied by grave provisions.&#x0D;