Reviewerly/exHarmony huggingface dataset:
A Multi-Stream Scrambling and DNA Encoding Method Based Image Encryption

Information security has emerged as a key problem in encryption because of the rapid evolution of the internet and networks. Thus, the progress of image encryption techniques is becoming an increasingly serious issue and considerable problem. Small space of the key, encryption-based low confidentiality, low key sensitivity, and easily exploitable existing image encryption techniques integrating chaotic system and DNA computing are purposing the main problems to propose a new encryption technique in this study. In our proposed scheme, a three-dimensional Chen’s map and a one-dimensional Logistic map are employed to construct a double-layer image encryption scheme. In the confusion stage, different scrambling operations related to the original plain image pixels are designed using Chen’s map. A stream pixel scrambling operation related to the plain image is constructed. Then, a block scrambling-based image encryption-related stream pixel scrambled image is designed. In the diffusion stage, two rounds of pixel diffusion are generated related to the confusing image for intra-image diffusion. Chen’s map, logistic map, and DNA computing are employed to construct diffusion operations. A reverse complementary rule is applied to obtain a new form of DNA. A Chen’s map is used to produce a pseudorandom DNA sequence, and then another DNA form is constructed from a reverse pseudorandom DNA sequence. Finally, the XOR operation is performed multiple times to obtain the encrypted image. According to the simulation of experiments and security analysis, this approach extends the key space, has great sensitivity, and is able to withstand various typical attacks. An adequate encryption effect is achieved by the proposed algorithm, which can simultaneously decrease the correlation between adjacent pixels by making it near zero, also the information entropy is increased. The number of pixels changing rate (NPCR) and the unified average change intensity (UACI) both are very near to optimal values.
Visual Feedback and Guided Balance Training in the Immersive Virtual Reality Environment for Lower Extremity Rehabilitation

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Retracted: Analysis of Coronary Artery Lesion Degree and Related Risk Factors in Patients with Coronary Heart Disease Based on Computer-Aided Diagnosis of Coronary Angiography

[This retracts the article DOI: 10.1155/2021/2370496.].
A systematic review on interventions for children with dyslexia

&lt;span lang="EN-US"&gt;Dyslexia is often described as the most common learning disability among the students that affect their ability to read and write. Children with dyslexia persist to their reading difficulties into adolescence and adulthood if without effective intervention and instruction. Therefore, this paper aims to review on the current state of available interventions for children with dyslexia in Malaysia and compare the interventions conducted outside Malaysia instead of to identify the frequently used for assistive technology tools in improving literacy skills. A total of 30 articles published between 2009 and 2021 that met the inclusive criteria were downloaded from electronic databases such as Scopus, SpringerLink and ScienceDirect. The interventions were divided into two categories which are phonological-based and assistive technology-based. The findings indicated that most of the interventions are focused on assistive technology tools and mobile learning applications become the favorite choice in Malaysia to assist students with dyslexia in ameliorating their learning difficulties. However, the developed mobile learning applications are not focused on teaching phonics and combined all three language skills (reading, spelling, and writing) in an application. Hence, it is imperative that researchers in Malaysia take into account to develop more mobile learning applications that focus on English language phonics and encompass three language skills (reading, spelling and writing) in an application for students with dyslexia.&lt;/span&gt;
Retracted: Innovative Application of Artificial Intelligence in the Field of Innovation and Entrepreneurship of College Students in Internet Colleges and Universities

[This retracts the article DOI: 10.1155/2022/3538755.].
Rancang Bangun Aplikasi Operasional Departemen Finance Studi Kasus PT. Maja Kerta Wangi

The large number of travel document transactions, credit cards, and invoice payments is a problem that complicates the finance department. In actual work, many travel documents are printed more than once, which burdens printing costs, loads the capacity of archive space which must be stored for five years, and requires destroying documents whose expired shelf life. The verification and validation process carried out by officers experienced problems because the system had not been integrated, so travel documents became past due and caused delays in supplier payments. The design and construction of operational applications for the finance department aim to digitize and integrate operational and financial processes to become combined, especially in managing travel documents, debt cards, and bill payments. The software development method used in this study is the waterfall which consists of the stages of analysis, design, implementation, and testing. Based on the testing results, the application shows that the application can assist in the operational process of the financial section, especially the data collection of travel documents into debt cards, then processing and paying bills based on invoices.
The Impact of Teachers’ Attitudes on Students’ English Speaking Anxiety in The Context of Kerala

&#x0D; &#x0D; &#x0D; This is a qualitative research study that descriptively discovered the effects of teachers’ attitudes on students’ English speaking anxiety, which was being addressed by determining the teachers’ attitudes towards students in terms of their English speaking performance and English speaking anxiety, and students’ feelings about their teachers’ attitudes during their English speaking performance. An interview questionnaire comprised of open-ended questions was utilized to interview the 15 student and 6 teacher participants of this study, who are currently connected from the two prestigious universities in Kerala. The interview findings revealed the following effects of instructors' attitudes on students' English speaking anxiety: Teachers' student-friendly approach and interactive instructional strategies can alleviate students' English speaking anxiety, and teachers as stern and firm monitors of students' language use make students more aware of themselves, which drives them to be extensively scared of committing mistakes and not meeting their teachers’ expectations. Out from the gathered verbal data and results, this study concluded that teachers are indeed major determinants of students’ English speaking anxiety. Teachers' shown behavioural and instructional attitudes have a major role in increasing students' anxiety and apprehension in utilising the target language orally, which has an impact on their English speaking performance.&#x0D; &#x0D; &#x0D;
THE RELATIONSHIP OF EDUCATIONAL AND SCIENTIFIC-EDUCATIONAL WORK WITH STUDENTS (USING THE EXAMPLE OF SOCIO-POLITICAL &#x0D; EVENTS IN THE KSUEL IN 2023)

The article deals with the implementation of the relationship of educational and scientific-educational work with students in the process of conducting university socio-political events. The authors substantiate the importance of the interrelation of these directions from the point of view of the formation of rational consciousness and critical thinking among students. The effectiveness of the considered socio-political events is revealed by the example of an interuniversity student scientific and educational conference.
Reconstruction of Convex Sets from One or Two X-rays

We consider a class of problems of Discrete Tomography which has been deeply investigated in the past: the reconstruction of convex lattice sets from their horizontal and/or vertical X-rays, i.e. from the number of points in a sequence of consecutive horizontal and vertical lines. The reconstruction of the HV-convex polyominoes works usually in two steps, first the filling step consisting in filling operations, second the convex aggregation of the switching components. We prove three results about the convex aggregation step: (1) The convex aggregation step used for the reconstruction of HV-convex polyominoes does not always provide a solution. The example yielding to this result is called \textit{the bad guy} and disproves a conjecture of the domain. (2) The reconstruction of a digital convex lattice set from only one X-ray can be performed in polynomial time. We prove it by encoding the convex aggregation problem in a Directed Acyclic Graph. (3) With the same strategy, we prove that the reconstruction of fat digital convex sets from their horizontal and vertical X-rays can be solved in polynomial time. Fatness is a property of the digital convex sets regarding the relative position of the left, right, top and bottom points of the set. The complexity of the reconstruction of the lattice sets which are not fat remains an open question.
Research on Deepfake Technology and Its Application

In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social networks, bringing new vitality in film and television industry, culture and education, advertising marketing and other fields. Meanwhile, the abuse and evil use of this technology has also aroused widespread concern and concern in the society. Based on the basic principle of deep forgery technology, this paper points out that deep forgery technology has the characteristics of high intelligence degree, rapid iterative optimization, difficult detection and identification, and summarizes the current deep forgery technology mainly includes video face changing, audio synthesis, text forgery and so on. This paper analyzes the typical application fields of deep forgery technology and the potential security risks such as personal and property damage, threatening election order and public security, aggravating social trust crisis, and puts forward measures to prevent and deal with the abuse of deep forgery technology from the aspects of improving the ability of forgery detection technology, strengthening the management of network platform, regulating through legal means, improving the public information media literacy, etc. In order to make the public more objective view and better use of deep forgery technology.
Transaction-aware heterogeneous graph embedding for recommendation

The auxiliary information describing users and items are widely used in the model of recommendation increasingly.Heterogeneous graph,as a effective means to incorporate these information, has been widely used in the modelling of the auxiliary information of the users and items.Existing models usually fail to capture relevance of user and its high-order neighbors,likewise the item.Besides,existing models represent the user without considering the effect of predicted item.To address the above issues,we encode high-order semantic relationships into user and item representations by information propagation along the graph.Besides,we design co-attention neural network to generate the transaction-aware embedding of both user and item to better consider the impact of different items to users.In all,we propose a transaction-aware heterogeneous graph embedding for recommendation(TA-HGRec).Experimental with thress real datasets showed that it achieved significant improvement over existing state-of-the-art recommendation methods.
MCVCO: Multi-MEC Cooperative Vehicular Computation Offloading

Mobile edge computing (MEC) has been envisioned as a promising paradigm that provides processing resources for vehicular computation-intensive tasks to accommodate the strict latency requirement. However, there is still a need to further enhance system performance to overcome challenges such as poor efficiency of data transmission and limited system resources. To improve the quality of service, this paper proposes a multi-MEC cooperative vehicular computation offloading (MCVCO) scheme. Firstly, we propose a heat-aware task offloading strategy to capture the time-varying multi-link relations between vehicle and MEC nodes. Secondly, we design a multi-MEC resource compensation method based on fountain code which cooperatively collects the task data and improves the efficiency of data reception in the edge layer. Finally, we develop a parallel transmission and execution based dynamic scheduling algorithm to make the most of available resources. Extensive simulation results and analyses demonstrate that MCVCO outperforms other baseline schemes in various experimental settings. MCVCO achieves a 32% increase in success rate, up to a 47% reduction in end-to-end latency, and a 24% improvement in uploading quality.
Are Head-mounted Displays Really Not Suitable for Driving Simulation? A Comparison with a Screen-Based Simulator

Head-mounted displays (HMDs) are considered a promising, highly immersive display technology, which has been widely discussed in the context of driving simulation. The literature is heterogeneous to date with regard to the effects of HMDs on simulator sickness, the sense of presence, and perception. In the present study, a comparison between a modern HMD with a screen-based (LED wall) simulator is conducted in a repeated-measures driving simulator study including N = 31 subjects. The results indicate that the HMD is neither better nor worse, but performs equally well as the screen-based simulator in terms of simulator sickness, presence, and active distance perception. Evidence for passive distance and speed perception was only anecdotal, though also mostly points at a null-effect. The only (anecdotal) evidence of worse performance in the HMD simulator was in an active braking task. Accordingly, the present study did not identify disadvantages of using current HMDs in driving simulation.
Development Of Interactive Digital Big Book History of North Sumatra as A Source of Learning for History Education Students on the MBKM Curriculum

The importance of developing an interactive digital ledger of the history of North Sumatra which is open access for students of history majors/study programs as a learning resource is the main background for the implementation of this research.In addition, to respond to government programs, especially in the world of education with the implementation of the Merdeka Learning Campus Independent curriculum, and to answer the challenges of education in the Industrial Revolution Era 4.0.Lecturers and students in their learning, especially the History of North Sumatra course, tend to use printed books whose content is less relevant to Graduate Learning Outcomes and Learning Outcomes Department of History Education Faculty of Social Sciences UNIMED.This condition is due to the existence of printed books that currently contain limited material about the geographical, economic, and socio-cultural conditions of several regions of North Sumatra with a time limit of only the 20th century.Studies on the existence of figures and the development of art by artists, especially composers, especially musicians and composers, such as Liberty Manik with the national anthem Satu Nusa Satu Bangsa, for example, are almost untouched.Therefore, the use of the interactive digital-based History of North Sumatra ledger will greatly facilitate students in exploring learning resources in the form of digital, multimedia such as audio, video, animation, photos, graphics, and so on, especially in the current era of the covid-19 pandemic.In addition, the digital application will give students access to other sources such as historical archives from sites such as the National Library, KITLV, and the Indonesian National Archives, to the acquisition of the latest scientific articles through national and international links available on digital applications.Therefore, research on the development of an interactive digital ledger of the History of North Sumatra is very important to do.
Unitary equivalence of twisted quantum states

We present the time dynamics of twisted quantum states. We find an explicit connection between the well-known stationary Landau state and an evolving twisted state, even when the Hamiltonian accounts for linear energy dissipation. Utilizing this unitary connection, we analyze nonstationary Landau states and unveil some of their properties. The proposed transformation enables simple evaluation of different operator mean values for the evolving twisted state based on the solution to the classical Ermakov equation and matrix elements calculated on the stationary Landau states. The suggested formalism may significantly simplify analysis and become a convenient tool for further theoretical development on the dissipative evolution of the twisted quantum wave packet.
Implicazioni linguistiche del <i>voice </i>nella classe di giapponese: passivi e causativi a confronto.

This paper focuses on the grammatical category of voice in the context of Japanese language teaching and aims to analyze the categories of the passive and the causative starting from the academic experience at Bologna University. The study provides a broad theoretical framework on the basis of the recent Japanese literature on linguistics ( nihongogaku ) in order to stimulate a double intralingual and interlingual reflection in Italian students. At a didactic level, the contribution underlines the importance of drawing on Japanese literature in order to acquire a shared metalanguage that can stimulate further research and induce teachers to keep up with the most recent outcomes in the field.
Harris’ Hawks Optimization-Tuned Density-based Clustering

Clustering is a machine learning technique that groups data samples based on similarity and identifies outliers with distinct features. Density-based clustering outperforms other methods because it can handle arbitrary shapes of clustering distributions. However, it has a limitation of requiring empirical values for the cluster center and the nominal distance between the cluster center and other data points. These values affect the accuracy and the number of clusters obtained by the algorithm. This paper proposes a solution to optimize these parameters using Harris’ hawks optimization (HHO), an efficient optimization technique that balances exploration and exploitation and avoids stagnation in later iterations. The proposed HHO-tuned density-based clustering achieves better performance as compared to other optimizers used in this work. This research also provides a reference for designing efficient clustering techniques for complex-shaped datasets.
Mobile Apps Development: Towards Incorporating Regional and National languages in Flutter App

As technology is spreading very fast across the world, people from different countries have started using portable devices like phones, tablets, or laptops. People belonging to different countries and cultures are using smartphones. Most smart apps are not available in multiple languages, users are bounded to use apps in the language in which the app is developed. Developing a multilingual app and taking input in multiple languages is still a headache for developers. This research aims to develop a multilingual keyboard package for flutter apps. By using this package developers can easily add a multilingual keyboard to their apps. For now, the package only supports English, Urdu, and Sindhi languages. Along with language keyboards, we have added some special characters and a numeric keyboard as well. The keyboard interface is highly customizable, developers can customize the keyboard interface as per their preferences, and they can change different properties of keyboards including, key text color, key background color, keyboard background color, and shadows. Developers can reduce end-user efforts by adding this keyboard package to their apps. End-users can interact with the app in their native language without any extra effort of downloading third-party keyboards. This package allows users to enter text in multiple languages in the same or different input fields. After the publication of this package, we conducted a survey, in which questions like the performance, accuracy, and interface of the keyboards have been asked of developers. In the survey, we asked for the developer's suggestions and feedback about keyboards, and other languages they want us to add to the package.
Design &amp; analysis of novel IT security framework for overcoming data security &amp; privacy challenges

IT security has always been a major concern for all organizations, especially after the rise in IT Integration amongst all processes, Post pandemic this has become a bigger issue than earlier. The organizations are growing also with IT Integration the negative impact of information related risk incidents are also increasing worldwide. There are several IT Risk Assessment Frameworks in use to address information security assaults, vulnerabilities, threats, and breaches, including ISO 270001/27005. COBIT, NIST SP- 800/53 etc, though following and implementation of these protocols, still organizations face challenges of IT risk, which may involve an asset or information. The biggest challenge is the data Security or privacy. Based on survey data, this study evaluates the majority of the current IT risk management frameworks and makes an effort to pinpoint any shortcomings in them. Based on the analysis done, a new IT Security framework is proposed and implemented in two organizations for its detailed analysis and validations with the existing models For the Risk Assessment of the same organization new technique for IT Risk Assessment is also proposed.
All-optical Leaky-Integrate-and-Fire Neuron Based Cascaded Microrings with Power-tunable Auxiliary Light

We demonstrated an all-optical Leaky-Integrate-and-Fire neuron based cascaded microrings with power-tunable auxiliary light. The compact LIF neuron enables flexibly realizing synaptic weighting operation due to synaptic plasticity of a single microring, and generating layer-individual spikes.
Security Flaws From Time-Varying Encoding in High Speed MDI QKD

Electro-optic phase modulators are commonly used for polarization and phase encoding in quantum key distribution. Here, a novel state preparation flaw which arises during high speed electro-optic phase modulation is identified and characterized. The impact of this state preparation flaw on the secure key rate is quantified.
Introduction and Overview

Reading and comprehending a technical text represents a substantial investment of time and energy on the part of the reader. Digital security systems are well-known in the industry and have been applied for decades, beginning with Closed Circuit Television (CCTV) and Video Recorders. What is driving the need for a new entry in the technical literature for Digital Security and Safety Systems?
Quantum random number generation with uncharacterised homodyne detection

We propose, design and experimentally demonstrate a quantum random number generator (QRNG) that completely removes the calibration requ0irement for the measurement device. The QRNG features a simple implementation and readily implementable on integrated photonic platforms.
An Integrated Approach to Third-order Parametric Down-conversion

We propose an integrated platform for the deterministic generation of non-Gaussian states by third-order parametric down-conversion. We suggest an approach to its experimental demonstration by photon triplet detection, predicting a rate up to 100 Hz.