Reviewerly/exHarmony huggingface dataset:
Information Technology Enabling College English Teaching: Bottleneck and Breakthrough

The deep integration of information technology and college English teaching is a new way to realize the informatization and intelligence of college English education.The author proposes that in order to deeply integrate information technology and enable college English teaching, immersion teaching mode can be adopted to establish a framework for cultivating diversified students' autonomous learning ability, and an information-based teaching mode of college English can be built based on the intelligent cloud platform, so as to realize the information and intelligence of foreign language education and promote the further development of college English teaching in China in the new era.
Multi-Valued Neutrosophic Sets for Forecasting Cryptocurrency Volatility

The media, legislators, investors, scholars, and regulatory agencies have all shown increased interest in the Cryptocurrency sector recently. Using different criteria in furthermore to return and risk in the cryptocurrency issue utilizing the multi-criteria decision-making (MCDM) methodologies makes it more practical in the real world. A model for predicting the volatility of cryptocurrencies is proposed in this study, and it is based on the TOPSIS approach. The model uses five criteria and six cryptocurrencies. Using a multi-valued neutrosophic set, also known as MVNS, helps to reduce the amount of uncertainty associated with the problem. MVNS was used to express the criteria and alternatives, and the model might possibly represent the Cryptocurrency with varying degrees of truth, indeterminacy, and falsity values.
An Analysis of the Problems in the Integration of Online and Offline English Teaching in Colleges

In recent years, the integration of online and offline teaching has attracted attention in the field of education.For college English teaching, by promoting the integration of online and offline teaching, it can improve the teaching effect, break through the shackles of time and space, and integrate teaching resources.Although the integration of online and offline teaching is of great significance, the integration of online and offline teaching exposes problems such as poor experience activities, imperfect learning platforms, and unreasonable teaching design.It is of great significance to strengthen research and take targeted optimization measures in combination with practice to promote the integration of online and offline teaching of college English and help the cultivation of college English talents.
Analysis of Measures for Training Foreign Law Talents under the Background of "One Belt and One Road"

Vigorously cultivating foreign-related law talents can not only expand the scope of employment and increase employment channels, but also support multinational enterprises and transnational trade.At this stage, with the deepening of the work related to the "one belt and one road", the university should be good at exploring opportunities and constantly strengthening the training of foreign-related legal talents.This article mainly focuses on the importance of foreign-related law talent training in the context of the "one belt and one road" and the measures for foreign-related law talent training in the context of the" one belt and one road".It hopes to reform the training of foreign-related law talents in the context of the" one belt and one road ", put forward new requirements for teachers and students from the perspective of foreign affairs, and guide law students to a broader world to step up a higher level and strive to realize self-worth.
Das Phänomen „Digitaler Hass"

Hate on the Internet not only hurts those directly affected – no less than democratic society itself is threatened. This anthology offers a comprehensive interdisciplinary examination of various facets of the phenomenon of "digital hate. For this purpose, findings from social science, communication and media studies, linguistics and criminology are brought together: Commentary analyses provide information about which content causes hate and how it is expressed. An interview study sheds light on the motives of the authors and the effects on those affected. Other authors examine escalation structures and the question of who is particularly targeted by hate. <bold>With contributions by</bold> Prof. Dr. Eva Groß; Jakob Guhl, M.A.; Jun.-Prof. Dr. Mario Haim; Prof. Dr. Thomas Hestermann; Hannah Heuser; Prof. Dr. Elisa Hoven; Dr. Sylvia Jaki; Christine Lambrecht, MdB; Dr. Madlen Preuß; Anja Rubitzsch, BA; Robert Schöffel; PD Dr. Liriam Sponholz and Alexandra Witting.
A Portable Device for Supporting Autonomous and Healthy Urban Ageing: The PROLONG System

Urban planning usually interconnects with the theme of mobility and the degree of accessibility of a city. This is especially true when referring to more vulnerable age groups, such as older adults. The domain of “urban ageing” deals with the implications of urban living for the ageing population and it spans across health, social and urban disciplines. The use of technology to support healthy urban ageing is of foremost importance with specific examples including health monitoring, wandering detection technology, and system for timely response in risky situations. PROLONG designs and manufactures a prototype of a device designed as a tiny wearable GNSS-IoT tracker to be strapped at the user’s shoulders, responding to the need of detecting abnormal or dangerous walking patterns of older adults. A first PROLONG prototype is already manufactured and is currently being tested. Thanks to proprietary algorithm capable to yield centimeter-grade accuracy from Galileo satellite positioning data, the device not only provides high-accuracy outdoor localization of older adults, but it also delivers fall detection and, most interestingly, assessment of gait abnormalities through real-time spatio-temporal gait analysis in outdoor scenarios. The PROLONG system requirements and user needs analysis have been performed through a design thinking inspired workshop that was organized in Thessaloniki, Greece. The workshop included 16 participants: 12 older adults, 2 informal caregivers and 2 healthcare professionals. Due to COVID pandemic, online or telephone interviews were performed following the design thinking structure. The raw data collected from each participant were analyzed in order to edit an review that includes the summary of all the discussions and the main points.
An FCM Approach to Achieve Near Zero-CO2 Urban Mobility: The Case of Larissa, Greece

Numerous urban mobility projects attempt to utilize near zero-CO2 emission practices in order to reduce greenhouse effect. Most initiatives attempt to mitigate the effects of climate change through controlling the resources consumed by human activity. In this study, the assessment of the degree by which these initiatives affect urban mobility and resulting impacts utilizes a fuzzy semi-quantitative methodology with the inclusion of all stakeholders into an innovative Decision Support System (DSS). This holistic approach effectively assesses the interaction of linguistic evaluations and fuzzy set theory to produce a Fuzzy Cognitive Map (FCM) that overcomes the ambiguity caused by a lack of quantitative evidence. The study strands include scenarios that emphasize the impact to sustainable urban mobility due to urbanization and the rise of urban actors (social, technical, transport, and economic) in influencing environmentally friendly decision-making. We concentrate in the use case of Larissa, Greece (city of the CIVITAS initiative) that started implementing the sustainable urban development plan in 2015. The suggested decision-making tool employs analytics and optimization algorithms to direct responsible authorities and decision-makers towards sustainable urban mobility of Larissa and eventually decarbonization of the urban and suburban area.
Generalised homomorphic and root filtering in 2D-nonseparable discrete linear canonical transform domains in the image enhancement applications

In this paper, the generalised homomorphic filtering (HF) and root filtering (RF) techniques are extended to 2D-nonseparable discrete linear canonical transform (2D-NsDLCT) domains in the low light image enhancement applications. The objective is to improve the visual appearance for the benefit of further processing. The input image is first transformed into 2D-NsDLCT domains in the proposed methodology, and then HF or RF is applied to it. The filtered image is inverse transformed to the spatial domain. The advantage of the proposed technique is based on the fact that the 2D-NsDLCT domains provide many free parameters that can be varied to improve the visual quality of the given images. We have compared the simulation results of the proposed methods with the special cases of 2D-NsDLCT and state-of-the-art methods. The computed quality metrics reveal that the output images of the proposed methods have better quality than the competing techniques.
Adaptive kernel-based active contour

Geodesic active contour model (GACM) is a standard deterministic method for the segmentation of complex organ structures based on edge maps. For MRI images, the GACM performs poorly due to noise and weak edges, which might result from a low scanning period, low Tesla scanner machines, and other environmental conditions. The performance of GACM is getting affected due to constant edge detector kernels and based only on intensity values. To improve this performance, we have proposed a method involving adaptive kernels and phase-based edge detection called 'phase congruency'. The kernels used in phase congruency are log Gabor kernels for the calculation of edges. Instead of log Gabor kernels, we have proposed to use ICA kernels, which resemble similar anisotropic properties like log Gabor kernels and are also adaptive. This adaptive kernel-based phase congruency provides a robust edge map, to be used in GACM. Experimentation shows that when compared with state of art edge detection techniques, adaptive kernels enhance the weak as well as strong edges and improve the overall performance.
Revamping Healthcare with Web 3.0

This application acts as an essential role in saving the lives of human beings, which is also its main aim, and to help the user to get the required organs at the correct time. Organ Donation and Transplant Matching system using Ethereum blockchain, aims to provide functionalities like donor-recipient automated transplant matching for organ donation, easy access of medical records, and holistic platform for the whole system; in a highly secure, traceable and automated way, aiming to enhance the whole system and process of organ distribution as well as transplant matching, saving lives and curb illegal activities like trafficking, etc. The main aim of developing this application is to reduce the time to a great extent to avoid spending time in searching for the right donor and the availability of organ required.
Person Identification from Newspapers and Other Archives in English and Hindi to Collect Related Information

The present research aims to examine the potential for using a newspaper article in English or Hindi as a source of information for identifying a person. The study aims to develop a method for identifying individuals mentioned in a newspaper article and to collect relevant information about them. This could be useful in a variety of scenarios, such as investigative journalism and historical research. The proposed method involves using computer vision techniques to extract names and other relevant information from the newspaper article, which is available in either English or Hindi. This extracted information is then used to search for additional details about the person in other sources. One possible application of this method is in the field of journalism, where reporters may use it to verify the identity of sources or to gather background information on individuals mentioned in their articles. In the realm of historical research, this method could be used to uncover information about people mentioned in historical documents or newspaper articles from the past. This study can be used to identify missing people whose missing information is published in various Hindi or English newspapers. Also , this study can be very useful for the identification of accident victims using the photographs of the individuals available in various Hindi or English newspapers . Overall, the goal of this research is to provide a reliable and efficient way to identify and gather information about individuals mentioned in newspaper articles.
Technical response and correction

The preceding chapters focused on information security controls to prevent and detect attacks. For many years, most security teams focused exclusively on prevention and detection to mitigate the risk of a successful attack, believing that major incidents were avoidable. As the number of organisations experiencing major incidents increased, particularly in the last decade, the security industry realised (a) that breaches were no longer avoidable but inevitable and (b) that although incidents will occur, the risk of major disruptions to the business can be managed by executing an effective incident response. In the transport sector, there is extensive experience of failure and even the most comprehensively risk-reduced operations can lead to severe impacts if the fallout is not managed. For example, a short-term outage in air traffic control (ATC) systems can cause days of disruption should there be no incident management. Hence, the aim of this chapter is to provide an overview of the fundamental components required to execute a successful incident response.
Research on the Hosting Style and Dissemination Prospect of "Readers"

To analyze the hosting style and dissemination prospects of cultural programs, this paper takes the popular cultural program "Readers" in China as an example.Starting from the program positioning and program content of "Readers," this paper analyzes the two characteristics of the program, namely the behavior of "reading" and the person who "reads," and explores the hosting style and dissemination prospects of the cultural program.Then it introduces the characteristics, hosting style, and dissemination prospects of other cultural programs and summarizes and analyzes similar cultural programs to provide some reference for other researchers.
Research on the Construction of Online and Offline Hybrid Teaching Mode of College English

The college English curriculum based on the "online+offline" teaching model can help students better establish their autonomous learning ability of college English and effectively promote the progress of college English teaching.Starting from the characteristics and functions of the online and offline hybrid teaching model of college English, this paper clarifies the advantages of this teaching model and analyzes the current situation of construction, The specific implementation process of online and offline teaching mode is explored in detail in the order of pre-class, in class and after class, aiming to promote the in-depth development of college English teaching through the exploration of online and offline hybrid teaching.
Exploring English Preservice Teachers’ Digital Competence Perceptions Regarding the C3 Matrix-cyber Ethics, Cyber Security and Cyber Safety: An Empirical Study Executed in China

This study was executed with an attempt to figure out Chinese English preservice teachers' digital competence perceptions pertaining the C3 Matrix, namely cyber ethics, cyber security and cyber safety.221 senior students majoring in English Education in a normal university in northern China participated in the data collection process.Structural equation modelling (SEM) was employed in this study, which contained four latent variables: cyber ethics, cyber security, cyber safety and digital competence.Major findings suggest that how English preservice teachers perceive the C3 Matrix exerts mixed impacts on their digital competence perceptions.First, English preservice teachers' cyber ethics perceptions have great positive impact on how they perceive cyber security and cyber safety.Cyber security and cyber safety then exert similar positive effects on how they perceive their digital competence.What's worth noticing is that although cyber ethics exerts positive influence on digital competence via the agency of cyber security and cyber safety, it alone exerts minor negative effects on the participants' digital competence perceptions, which is thought-provoking since no previous research so far echoed with this outcome.
CMT-Co: Contrastive Learning with Character Movement Task for Handwritten Text Recognition

Mainstream handwritten text recognition (HTR) approaches require large-scale labeled data for training to achieve satisfactory performance. Recently, contrastive learning has been introduced to perform self-supervised training on unlabeled data to improve representational capacity. It minimizes the distance between the positive pairs while maximizing their distance to the negative ones. Previous studies typically consider each frame or a fixed window of frames in a sequential feature map as a separate instance for contrastive learning. However, owing to the arbitrariness of handwriting and the diversity of word length, such modeling may contain the information of multiple consecutive characters or an over-segmented sub-character, which may confuse the model to perceive semantic clues information. To address this issue, in this paper, we design a character-level pretext task termed Character Movement Task, to assist word-level contrastive learning, namely CMT-Co. It moves the characters in a word to generate artifacts and guides the model to perceive the text content by using the moving direction and distance as supervision. In addition, we customize a data augmentation strategy specifically for handwritten text, which significantly contributes to the construction of training pairs for contrastive learning. Experiments have shown that the proposed CMT-Co achieves competitive or even superior performance compared to previous methods on public handwritten benchmarks.
Hidden Platforms for Cybercrime: Experiences Investigating Darknet Services

This chapter draws on the authors’ experiences investigating Tor onion service darknet markets and forums (i.e., darknet platforms). These experiences highlight the challenges of investigating ‘hidden’ populations in a universe where the scale, diversity and locations of actors and services are unknown. Applying cross-disciplinary techniques adapted from the social and computer sciences, we investigate and describe these darknet platforms and draw trends and key observations about these hidden online subcultures.
Introducing The Creation of A Free Website Paud Unit in Pasarwajo Subdistrict

The general purpose of this activity is to assist the PAUD unit to find out how to make website which is a medium of information dissemination and communication between paud units and related parties. With the PAUD unit website, there are several benefits, including being present in providing positive content for the public to realize a healthy internet, encouraging paud units to present positive and creative paud unit activity information, child guardians and the public can know various things about PAUD units directly, and foster public confidence in paud units. Kec.Pasarwajo there are many PAUD units both public and private. Implementation of assistance in 14 kindergartens of Pasarwajo Subdistrict. The problem does not yet have a PAUD unit website. So it is considered necessary to carry out assistance to paud units, especially in pasarwajo subdistrict. The activity begins with exposure to free website creation through wordpress and continues with direct practice assistance. The results of the activity showed that paud units in pasarwajo district of buton regency with participants of PAUD unit operators totaling 14 PAUD units in pasarwajo districts had been able to create a free website through wordpress. In addition, assistance has an impact on the spirit of operators in pasarwajo sub-district.
Characteristics of Computer Printed Documents Produced by Different Printing Devices

Forgery has significantly increased and expanded to include the use of computers and printers, allowing even non-experts to create fraudulent printed documents. The printers and photocopiers leave their imprints on the produced documents. Studying the characteristics of different computer printed documents help in identification of the type of the producing output devices (photocopier, inkjet, and laser printers). Each class of printing devices imposed specific criteria on the investigated printed documents. These criteria are class features, but they differ depending on the type of device.
An Ironic View on a Convoluted Reality

The feeling of uncontrolled confusion, that envelops the Western world of today was the main reason for working on this thesis.&nbsp; The past COVID-19 pandemic came just in time for increasing this sense of obscureness.&nbsp; This essay follows Part A of the work that referred to the behavior issues.&nbsp; Thus, the Author calls for deepening the study of the individual's inner-self as the key for better understanding human-beings behavior.&nbsp; For attaining this goal, it is suggested to involve some techniques taken from the Quantum Theory in Brain Research.&nbsp; After discussing the issues of naming and labeling, the Author explains why today, one word cannot describe a whole act, an event, or a capacity. And why a more descriptive term is required.&nbsp; For this purpose, the Matrix Model could be of great help. Further the complex of human inner-self, its urges, drives and motives are discussed, explaining the complicated influence of internal and external factors on behavior.&nbsp; Then the meaning of Self-esteem and Self-confidence and their influence on the person's conduct, are examined. Finally, Mediocrity, its origin, appearance, practices and threats, is explored.&nbsp; The essay ends with a call to reconstruct a revised social order, based on solidarity, togetherness and human compassion.
Mapping Real-World Use of the Onion Router

Since its inception, The Onion Router (TOR) has been discussed as an anonymizing tool used for nefarious purposes. Past scholarship has focused on publicly available lists of onion URLs containing illicit or illegal content. The current study is an attempt to move past these surface-level explanations and into a discussion of actual use data; a multi-tiered system to identify real-world TOR traffic was developed for the task. The researcher configured and deployed a fully functioning TOR “exit” node for public use. A Wireshark instance was placed between the node and the “naked” internet to collect usage data (destination URLs, length of visit, etc.), but not to deanonymize or otherwise unmask TOR users. For 6 months, the node ran and collected data 24 hr per day, which produced a data set of over 4.5 terabytes. Using Python, the researcher developed a custom tool to filter the URLs into human-readable form and to produce descriptive data. All URLs were coded and categorized into a variety of classifications, including e-commerce, banking, social networking, pornography, and cryptocurrency. Findings reveal that most TOR usage is rather benign, with users spending much more time on social networking and e-commerce sites than on those with illegal drug or pornographic content. Likewise, visits to legal sites vastly outnumber visits to illegal ones. Although most URLs collected were for English-language websites, there were a sizable amount for Russian and Chinese sites, which may demonstrate the utilization of TOR in countries where internet access is censored or monitored by government actors. Akin to other new technologies which have earned bad reputations, such as file-sharing program BitTorrent and intellectual property theft or cryptocurrency Bitcoin and online drug sales, this study demonstrates that TOR is utilized by offenders and non-offenders alike.