Reviewerly/exHarmony huggingface dataset:
Multitime Quantum Communication: Interesting But Not Counterfactual

A protocol for transmission of information between two parties introduced by Salih et al., Phys. Rev. Lett. 110 (2013) 170502 (hereafter SLAZ), involves sending quantum amplitude back and forth through a quantum channel in a series of steps, rather than simply sending a signal in one direction. The authors claimed that their protocol was ``counterfactual'' in the sense that while a quantum channel is needed to connect the parties, its actual usage becomes vanishingly small in the asymptotic limit as the number of steps tends to infinity. Here we show that this claim is incorrect because it uses probabilistic reasoning that is not valid at intermediate times in the presence of quantum interference. When ill-defined probabilities are replaced with a well-defined measure of channel usage here called ``Cost'', equal to the absolute square of the amplitude sent through the channel, the total Cost does not go to zero in the asymptotic limit of a large number of steps, but is bounded below by a rigorous inequality. A detailed analysis shows that this bound is satisfied in the SLAZ protocol. The analysis leading to the bound uses the fact that the Gram matrix formed by inner products of a collection of pure quantum states is additive over Hilbert subspaces and invariant under unitary time transformations. Its off-diagonal elements, which in general are not positive, play a significant role in the formal argument as well as providing a somewhat strange way of visualizing the transfer of information.
Detecting Encryption Vulnerabilities with Lossless Compression

Ciphertext entropy is a key property for detecting the use of insecure encryption modes such as Electronic Code Book (ECB) and for testing symmetric=key cryptographic algorithms. This paper discusses the use of lossless compression utilities as a proxy measurement for entropy and its use in detecting a limited set of encryption vulnerabilities. We also note the use of off-theshelf algorithms yields a teaching tool for Information Technology and Cybersecurity students. Finally, small and consistent differences between encryption modes provide the potential to identify the encryption algorithm from compression factors.
Open science as a way to increase the prestige of scientific professions

The article reveals the features of open science. The need for openness of scientific knowledge is emphasized. The impact of open science on increasing the prestige of scientific activity has been clarified.
Research on differential settlement monitoring of highway expansion based on BIM technology

In order to overcome the problems of long response time and high error in traditional settlement monitoring methods of highway, a differential settlement monitoring method based on BIM technology is proposed in this paper. According to the large-scale general finite element program and geotechnical theory, the numerical analysis model of highway expansion project is established to obtain the deformation value of highway expansion subgrade under different subgrade design parameters and subgrade materials. The differential settlement deformation mode and influencing factors of highway expansion are analysed. According to the analysis results, combined with SAR and BIM technology, the differential settlement of expressway expansion in the study area is monitored. The simulation results show that the response time of the proposed method is always less than 5 ms, the maximum monitoring error is only 0.067%, the response time is short and the monitoring error is small.
Perancangan aplikasi belajar bahasa inggris berbasis website

In times of a pandemic like this, all learning activities are carried out online via the internet with the help of learning applications that can support one's education. In the current era, there is a great need for interactive distance learning applications. An interactive English learning application in web form will be easily accessed and used by anyone. Therefore, on this occasion we created a website-based learning application, especially for English subjects because that language is an international language. In this research, an English learning application will be built that can be run on a web-based basis. The material displayed in this application is tenses, listening, speaking, idioms, expressions, regular and irregular verbs, and slang. This application is designed with UML modeling, developed using HTML programming language. We also use the waterfall software process model in designing the BeBI (Learning English) application system. The purpose of making this application is to make it easier to learn English with material that is easy to understand and this application has an easily accessible interface. The waterfall model that we use is the Sommerville waterfall with the consideration that the system design steps will be organized, focused, and easy to follow. Where the result of designing this application is an educational application system for users which is expected to help the community in learning English and make it easier for someone to prepare themselves to take English tests such as TOEFL and TOEIC. For further development, it is hoped that this application can be accessed on various platforms.
Vowel Serialization: A Derivation Contextualized Phenomenon in Yorùbá Morphology

The paper argues against the linguistic contextualisation of vowel serialization as basic phenomenon in the appraisal of Yorùbá concatenation morphology. Its findings are based on lexical derivation hypothesis of the lexical morphology theory to be able to account for the phonology and etymology of specified examples of vowel sequence in the language. Primary and secondary data were collected and subjected to analysis. Two sequence of vowel serialization as a morpho-phonological process in the word formation are identified: the VVCV, VCVV and CVV sequence. Vowel serialization frequently occurs consequent on the deletion of the first intervocalic segment and assimilation process between V1 and V2 in Yorùbá VVCV word sequence. Ideophonic words like gbòò, fòò, sàà, wàà and so on also undergo the similar processes. Also, functors such as kì í, má à, and tí ì comprise two seperate syntactic units each which mark two different functional categories in the language. Therefore, they are to be written seperately. Keywords: Vowel sequence, transformation, Yorubá, lexical morphology, syllabic structures
Investigating Literal and Inferential Comprehension Achievement of Grade Six Students

Literal and inferential comprehension questions characterize the types of tasks students typically complete in reading assignments in elementary schools in Indonesia. This study, a preliminary survey of more extensive research, aimed at describing Grade Six students’ literal and inferential comprehension achievements. The research respondents were 198 Grade Six students from three elementary schools in Makassar, Indonesia. The research instrument used was a reading comprehension test which consisted of 35 multiple-choice questions. The data obtained were tabulated and analyzed descriptively using percentage analysis. The results of the study showed that most of the students in this study had low achievement in reading comprehension, both in literal and inferential comprehension. The research findings had an implication for the teaching and learning process of reading comprehension in Grade Six in elementary schools in Indonesia and other similar contexts.
Citation databases to evaluate openness of research funded by public grants

This study investigates current state of open access publications resulted from support of government funds in Ukraine and neighboring countries. We analyzed the coverage of different types of Open Access based on Scopus and Web of Science web interface classifications. We argued about Scopus and Web of Science feasibility to evaluate openness of scientific research on a national level.
Experiential Marketing through Virtual Reality: A Study based on the Hospitality Industry in Sri Lanka

This study aims to examine how Virtual Reality (VR) can be used for experiential marketing in the hospitality industry in Sri Lanka. This study was conducted using the qualitative research methodology by adopting phenomenology as the research approach to capture the respondents' experiences regarding VR. Data was collected using in-depth semi-structured interviews with eight respondents, and data analysis was conducted using the generic strategy. As per the findings, the VR experience is explained under two themes. First, VR is an innovative marketing medium that offers opportunities to attract prospective customers. The second findings show that VR provides an immersive user experience that facilitates hotels to reach their customers with higher interactions. The motives for implementing VR are identified under four themes: powerful digital experiential marketing strategy, ability to avoid seasonal factors, adapting to the dynamic business environment and boosting HR effectiveness. Therefore, the findings of this study are significant since this is the first attempt to explain VR from the perspective of hoteliers and industry professionals, which has multiple implications for enriching the hospitality industry in the future. Further, the study's exploratory nature opens opportunities for future research.
Exploration of Technology Transformation-Based Learning Experiences and Higher Education Leadership

An overview of the management of technology-based higher education and digital applications in an era that is now increasingly developing is becoming a critical study. For this reason, we conducted several interviews with more of the supervisors at Bontang University. Then we also believe in studying some of the scientific evidence that has raised technology-based education in tertiary institutions, which we then examine by involving various techniques such as data coding, and in-depth data interpretation to get answers as valid and reliable study findings. After going through a series of discussions and reviewing the results of interviews and other scientific evidence, it can be concluded that a review of technology-based education governance is a critical study considering that there are still many universities that have not fully opened their doors to technology-based teaching for management reasons and other limitations. These findings will be valuable insights for developing similar research in the future.
An Image Encryption Scheme with the Associated Thumbnail

Image encryption can protect cloud image privacy. However, the usability of encrypted images has not received much attention. To this end, an image encryption scheme with an associated thumbnail is proposed, it generates both the encrypted image and the associated thumbnail, which can be stored in the cloud. The associated thumbnail is only partially encrypted, which has a small capacity, and maintains certain usability with less download and decryption time. Therefore, the users can download and decrypt the associated thumbnail instead of the encrypted image to meet general usage requirements, and most of the time there is no need to download the encrypted image from the cloud. Experiments show that this scheme balances image privacy protection and usability, and can bring convenience to the browsing and management of encrypted images in the cloud.
Blockchain-based Medical Data Preservation via Improved Association Rule Hiding with Optimal Key Generation

Remote health data monitoring to achieve intelligent healthcare has recently drawn a lot of interest due to the Internet of Things’ (IoT) substantially increased implementation. However, due to the constrained processing and storage capabilities of IoT devices, users’ health data are typically stored in a centralized third party, such as a hospital database or cloud, and this causes users to lose control of their health data, which is easily the cause of privacy leakage and a single-point bottleneck. A medical data transmission and preservation strategy is proposed which is based on the hospital’s private block chain in order to enhance the electronic health system. The three major phases of the privacy-preserving medical data strategy initiated in this study are “data sanitization, optimal key generation, and data restoration”. Prior to being added to the block–blocks chains, the medical record is cleaned up. The sanitization phase will employ the improved association rule concealment technique. The cleaned content is recovered at the receiver’s end. More significantly, both methods heavily rely on optimal key creation, with the ideal key being selected using a new hybrid optimization model called Dragonfly-Updated Elephant Herding Optimization (DUEHO). Elephant Herding Optimization (EHO) and the traditional Dragonfly Algorithm (DA) are conceptually combined in the proposed DUEHO. At the end, proposed model’s performance is compared over existing techniques concerning various metrics. The convergence rate of the suggested model is 1.05%, 0.31%, 0.32%, 0.4%, 0.43%, 0.45% better than the existing models like FF, MFO, GWO, WOA, DA and EHO, respectively.
US-led group to boost coordination on ransomware

Significance Established in October 2021, the CRI’s 36 member countries and the EU have jointly begun to clarify the group’s priorities and processes for tackling ransomware. The initiative promises to strengthen transnational policing of ransomware and harden network security in member states, particularly that of critical infrastructure. Impacts Improved policing and investigation could allow victims of ransomware attacks to reclaim some ransom payments. Cross-border coordination on criminal crypto activity is as essential as it is unlikely. The CRI will give Washington another forum in which to pressure states such as India on their Russia ties.
SYNTHESIS OF THE REWARD FUNCTION IN REINFORCED LEARNING WITH COGNITIVE GRAPHICS

In recent years, reinforcement learning methods have become increasingly important for many applied areas. Such learning assumes the presence of a reward function. The reward should be the higher, the more the agent’s behavior corresponds to the desired one. At the same time, in many cases, the reward function is built axiomatically, by expert selection of one of the most widely used functions based on a superficial analysis of the subject area. This situation is due to cognitive difficulties encountered by an expert in the process of constructing reward functions, especially for a large number of arguments. At the same time, the reward function can be represented as an aggregation operator, since the range of valid values of any criterion can be reduced to a unit interval by an appropriate linear transformation. Thus, the task of constructing a reward function can be reduced to the task of constructing an aggregation operator with given properties. To ensure the intuitive clarity of the process of constructing aggregation operators, a method for their visualization using 3D-cognitive graphics has been developed. This article proposes a method for synthesizing the reward function for reinforcement learning, which includes the mentioned visualization. The synthesis method includes two procedures, which are sequences of steps performed by an expert, each of which requires him to take specific actions. An experiment was set up to test the effectiveness of the developed method. During this experiment, the synthesis of the reward function and reinforcement learning of agents based on the synthesized function were implemented in the multiagent machine learning environment of the StarCraft II computer game. Training was conducted for the standard StarCraft II reward function and for the reward function built using the proposed procedure.
Two deductions systems for the Logic PM4N

The logic PM4N was introduced by Jean-Yves Beziau as a modal and 4-valued system. In this introductory paper, the author presented the system from a matrix logic with four values disposed in a Boolean algebra with a modal operator for the notion of necessity. From that matrix semantics, the paper shows some valid results and stresses some motivations of the matrix semantics and of the system PM4N. In this paper we develop some additional aspects of that logic and present two deductive systems for it, a simple system of tableaux and a sequent calculus.
Structural Relationship between Student Participatory Class, Student Engagement, Self-concept, and Communication Competency: Multi-group Analysis according to Class Size

The purpose of this study is to analyze the mediating effect of student engagement and self-concept in the structural relationship between student participatory class and communication competency. By dividing groups according to the class size (the number of students per class) that may affect the operation of student-participatory classes, the differences in variables that directly or indirectly affect communication competency development were analyzed to obtain implications for communication competency development. To this end, a multi-group structural equation model analysis was conducted using data from the 6th year of the Korea Education Development Institute's Korean Education Longitudinal Study. As a result of the analysis, it was found that the student-participatory class method had a positive effect on communication competency in all groups, and the group with a small class size had a more positive effect on communication competency development than the group with a large class size. The self-concept had a positive effect on the development of communication skills in all groups, but student engagement was significant only in groups with a large class size, and the effect was found to be small. In addition, it was found that there was a mediating effect of self-concept in the relationship between student participatory teaching methods and communication competencies. In order to cultivate communication skills, it is necessary to consider the introduction of various student participatory teaching methods, and research on various measures to form positive self-concepts of students is necessary.
Distributed Estimation of Sensor Networks Based on LSTM-Kalman Filter

This paper studies the distributed estimation problem of sensor networks where the noise parameters are unknown and some sensors cannot obtain the measurements. The expectation maximization (EM) algorithm integrating Kalman filtering algorithm, which is called the EM-KF algorithm, is adopted to sensor networks. Simulation examples are given to illustrate the effectiveness of the algorithm. By using LSTM network, and LSTM-KF algorithm is further proposed to improve the accuracy of EM-KF algorithm.
Convolutional Neural Network-based Image Restoration (CNNIR)

In this era of automation, image processing is an indispensable part of computer vision. Many computer vision approaches in the industry depend on a relatively bright environment. Under low light source conditions, the distribution of image information is too concentrated in specific intensity ranges due to the color factor of the subject itself, resulting in noise and contrast loss. Enhancing contrast is a crucial step in improving the quality of the image and showing visible details. This study proposes a method based on a convolutional neural network (CNN), using the pixel difference between paired images, called a motion matrix, as an annotation for low-contrast images. The image's motion vector is predicted after the neural network model has been trained to produce the low-contrast enhanced image. Then, the proposed model is compared with the Low-Light image Enhancement (LLNet), Multi-Scale Retinex Color Restoration (MSRCR), and Fuzzy Automatic Cluster Enhancement (FACE) approaches. The effectiveness of the proposed method was further evaluated by comparing several quality indicators, including peak signal-to-noise ratio, structural similarity, root-mean-square-error, root-mean-square-contrast and computation time efficiency.
Finite Field Arithmetic in Large Characteristic for Classical and Post-quantum Cryptography

Both classical and post-quantum cryptography massively use large characteristic finite fields or rings. Consequently, basic arithmetic on these fields or rings (integer or polynomial multiplication, modular reduction) may significantly impact cryptographic devices’ efficiency and power consumption. In this paper, we will present the most used and the less common methods, clarify their advantages and drawbacks and explain which ones are the more relevant depending on the implementation context and the chosen cryptographic primitive. We also explain why recent proposals such as RNS, PMNS or Montgomery-friendly primes may be a good alternative to classical methods depending on the context and suggest directions for further research to improve them.
Investigation of Turkish Literary Poetry by Unsupervised Text Mining Methods

With this study, it is aimed to analyze the change in Turkish literature with unsupervised text mining techniques based on the poems in the National Literature Period and the Republic Period. The reason for the election of these two periods is that there were changes in the Turkish language between periods and the establishment of the republic created changes in the feelings and thoughts of the people. To do this analysis, a data set including 116 republican period poems and 93 national period poems was created. The prominent issues of the periods and the public opinion were interpreted as a result of the studies. Sentiment analysis was made on poems and the changes in feelings experienced by the nation were also examined. The poems are divided into both positives and overwhelming emotions. They are divided into “surprising”, “happy”, “sad”, “disgust”, “fear”, and “anger” categories to examine feelings in more detail. When the project outputs were examined, it was seen that after the declaration of the republic, the positivity in the poems increased and the feelings became more balanced.
Android App to Monitor the Position of a Group of Robots in a Hospital

This article presents the design of an Application in Android operating system, with the aim of monitoring movements in real time through a 2D graphic representation system for a group of Mobile Robots with medical assistance capabilities, in a portable and economical way. In addition, to provide information about the robots positioning in Cartesian coordinates, percentage of current battery and state of operation during their navigation. The robots are link to an Android mobile device through wireless communication in MQTT or WiFi protocol, depending on the technical case available. As a basis of application there is in the first instance a Covid hospital, the need arises as a means of medical assistance between the patient with Covid symptoms and the doctor, nurses and support staff in their treatment and isolation, in order to avoid contact, contagion and the additional expense of wearing special clothing to treat the patient.
Quantum Amplification of Energy Transfer in Cavity QED by a Parametric Drive Induced Long-lived Mode

Cavity-mediated coupling can lead to remote exchange of energy between two spatially separated bosonic modes. Here, we demonstrate how the application of a two-photon parametric drive to the cavity can bring about a prodigious enhancement in this transfer efficiency.