Reviewerly/exHarmony huggingface dataset:
Coupling Quantum Random Walks with Long and Short Term Memory for High Pixel Image Encryption Schemes

This paper proposes an encryption scheme for high pixel density images. Based on the application of the quantum random walk algorithm, the Long short-term memory (LSTM) can effectively solve the problem of low efficiency of the quantum random walk algorithm in generating large-scale pseudorandom matrices, and further improve the statistical properties of the pseudorandom matrices required for encryption. The LSTM is then divided into columns and fed into the LSTM in order for training. Due to the randomness of the input matrix, the LSTM cannot be trained effectively, so the output matrix is predicted to be highly random. The LSTM prediction matrix of the same size as the key matrix is generated based on the pixel density of the image to be encrypted, which can effectively complete the encryption of the image. In the statistical performance test, the proposed encryption scheme achieves an average information entropy of 7.9992, an average number of pixels changed rate (NPCR) of 99.6231%, an average uniform average change intensity (UACI) of 33.6029% and an average correlation of 0.0032. Finally, various noise simulation tests are also conducted to verify its robustness in real-world applications where common noise and attack interference are encountered.
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks

Abstract In this work, we focus on outdoor lighting estimation by aggregating individual noisy estimates from images, exploiting the rich image information from wide-angle cameras and/or temporal image sequences. Photographs inherently encode information about the lighting of the scene in the form of shading and shadows. Recovering the lighting is an inverse rendering problem and as that ill-posed. Recent research based on deep neural networks has shown promising results for estimating light from a single image, but with shortcomings in robustness. We tackle this problem by combining lighting estimates from several image views sampled in the angular and temporal domains of an image sequence. For this task, we introduce a transformer architecture that is trained in an end-2-end fashion without any statistical post-processing as required by previous work. Thereby, we propose a positional encoding that takes into account camera alignment and ego-motion estimation to globally register the individual estimates when computing attention between visual words. We show that our method leads to improved lighting estimation while requiring fewer hyperparameters compared to the state of the art.
Cultural-historical models of verification the effectiveness of psychotherapy

The article analyses the leading trends and methods used in studies on the efficiency of psychotherapy from the cultural-historical perspective. The article stresses that experimental-examining methods are applied for verification of psycho­therapeutic effects within the classical approach; this approach is represented by meta-analyzes, i.e. a statistical combination of data from several studies. The main effects of cognitive-behavioral therapy were confirmed by this way. During the crisis of modernism, hermeneutic methods and the non-classical approaches to evaluate the psychotherapy results became popular; they were used primarily for psychodynamic therapies. During the early postmodern period, the post-non-classical approach to psychotherapy evaluation was developed; here, existential-phenomenological analysis of psychotherapeutic cases was used. The linguistic turn in late postmodern psychotherapy was based on various discursive analyses and, first of all, the intent-analysis. In addition, narrative analysis could be presented as a verbalized triangular model that takes into account deep intentions and the social context of a client’s life. The latest era of meta-modernism proposes a new turn to performance in psychotherapy, when quantitative and qualitative methods testing psychotherapy efficiency are united and used flexibly, as well as the methods of artistic and aesthetic development of reality are applied in the form of art therapy and involved into result evaluation.
Speed of Evolution and Correlations in Multi-Mode Bosonic Systems

We employ an exact solution of the thermal bath Lindblad master equation with the Liouvillian superoperator that takes into account both dynamic and environment-induced intermode couplings to study the speed of evolution and quantum speed limit (QSL) times of a open multi-mode bosonic system. The time-dependent QSL times are defined from quantum speed limits, giving upper bounds on the rate of change of two different measures of distinguishability: the fidelity of evolution and the Hilbert-Schmidt distance. For Gaussian states, we derive explicit expressions for the evolution speed and the QSL times. General analytical results are applied to the special case of a two-mode system where the intermode couplings can be characterized by two intermode coupling vectors: the frequency vector and the relaxation rate vector. For the system initially prepared in a two-mode squeezed state, dynamical regimes are generally determined by the intermode coupling vectors, the squeezing parameter and temperature. When the vectors are parallel, different regimes may be associated with the disentanglement time, which is found to be an increasing (a decreasing) function of the length of the relaxation vector when the squeezing parameter is below (above) its temperature-dependent critical value. Alternatively, we study dynamical regimes related to the long-time asymptotic behavior of the QSL times, which is characterized by linear time dependence with the proportionality coefficients defined as the long-time asymptotic ratios. These coefficients are evaluated as a function of the squeezing parameter at varying temperatures and relaxation vector lengths. We also discuss how the magnitude and orientation of the intermode coupling vectors influence the maximum speed of evolution and dynamics of the entropy and the mutual information.
Comparative Evaluation of Transformer-Based Nepali Language Models

Abstract Large pre-trained transformer models using self-supervised learning have achieved state-of-the-art performances in various NLP tasks. However, for low-resource language like Nepali, pre-training of monolingual models remains a problem due to lack of training data and well-designed and balanced benchmark datasets. Furthermore, several multilingual pre-trained models such as mBERT and XLM-RoBERTa have been released, but their performance remains unknown for Nepali language. We compared Nepali monolingual pre-trained transformer models with multilingual models to determine their performance using a Nepali text classification dataset as a downstream task based on different number of classes and data sizes, taking machine learning (ML) and deep learning (DL) algorithms as baselines. Under-representation of Nepali language in mBERT resulted in overall poor performance, but, XLM-RoBERTa, which has a larger vocabulary size, produced state-of-the-art performance which is relatively similar to that of Nepali DistilBERT and DeBERTa, which outperformed all of the baseline algorithms. Bi-LSTM and SVM from the baselines also performed very well in variety of settings. Moreover, to assess the cross-language knowledge transfer for the cases when mono-lingual models are not available, we also evaluated HindiRoBERTa, a monolingual Indian language model on Nepali text dataset. This research mainly contributes to the Nepali NLP community by creation of news classification dataset with 20 classes, with over 200,000 articles and performance evaluation of various pre-trained monolingual Nepali transformers with multilingual transformers, DL and ML algorithms.
Hypothetical structuralism

M. Resnik (2019) suggests a new version of structuralism which he calls non-ontological structuralism. In the present short article I discuss this view-point in the context of the Frege-Hilbert controversy about meaning of primitive notions in deductive theory, with special regard to the original views of K. Ajdukiewicz, Hilbert’s student. Following the proposed differentiations, I introduce a new type of structuralism which I call hypothetical structuralism, close to Resnik’s non-ontological structuralism.
Shifted LT Code Security Scheme for Partial Information Encryption

The existing physical layer security technology based on fountain codes needs to ensure that the legal channel is superior to the eavesdropping channel; when the quality of the legal channel and the eavesdropping channel are close, the information security cannot be guaranteed. Aiming at this problem, this paper proposes a shifted Luby transform (SLT) code security scheme for partial information encryption, which is mainly divided into two stages, partial information encryption transfer and degree distribution adjustment. The main idea is that the source randomly extracts part of the information symbols, and performs XOR encryption with the random sequence containing the main channel noise sent by the legitimate receiver. Afterward, the degree distribution is adjusted using the number of transfer information symbols received by the legitimate receiver to improve the average degree of the encoded codewords. Since the eavesdropper can only obtain fewer information symbols in the initial stage, it is difficult to decode the generated coded symbols after the degree distribution adjustment, thereby ensuring the safe transmission of information. The experimental results show that, compared with other LT anti-eavesdropping schemes, even if the legitimate channel is not dominant, the proposed scheme still has better security performance and less decoding overhead.
Various Netizen Utterances through Tweet #Bjorka: Psycholinguistic Approach

Language is a tool for conveying messages, whether spoken or written. It can be done by revealing written utterances. Thus, this study aims to describe the variation of netizens’ utterances expression in tweet #Bjorka according to language function. This study's methodology uses descriptive qualitative and obtains data by observing and noting. The result of the study found there are 4 language functions in Netizens’ tweets, expression function; information function; persuasion function; and entertainment function. Based on the four language functions, several expressions were found resulting from #Bjorka's tweets. The most dominant is the expression of anger and disappointment. Then there is also the feeling of curiosity, the feeling of pride, the feeling of admiration, and also the feeling of happiness. The use of emojis and the content of the hashtag supports that feeling.
Late Paleocene to Late Eocene Calcareous Nannofossils in the Mannar Basin, Sri Lanka; Implications for Paleoeutrophication Conditions

Journal of the Geological Society of Sri Lanka is a peer-reviewed and open access journal published by the Geological Society of Sri Lanka. It aims to publish the most topical and highest quality papers, summarizing the results of recent research across all sub-disciplines of the Earth Science. Papers are frequently interdisciplinary covering both pure and applied fields of Geology. Contributions often refer to local, regional and/or international studies and emphasize the development of the understanding of fundamental geological processes.
Special Issue on Algorithms and Data-Structures for Compressed Computation

As the production of massive data has outpaced Moore’s law in many scientific areas, the very notion of algorithms is transforming [...]
Perbedaan Kemampuan Berpikir Kreatif Pembelajaran Daring Melalui Implementasi Multimedia Collaborative-Interactive (Co-Interactive) pada Masa Pandemi

The research was conducted during the covid-19 pandemic and learning was carried out from and there were many technical obstacles and students' thinking abilities which tended to be low because they were unable to understand the material by being given in the form of modules only. During a pandemic, learning is carried out at home to avoid transmission. With this, educators must move actively so that learning can still be given. So that learning is needed with the help of interactive collaborative multimedia with the help of Learning Management Systems (LMS), zoom meetings, and YouTube as learning multimedia. Learning with zoom meetings to provide direct explanations to students about the material being studied. YouTube is given as a multimedia-based learning because students can see learning using videos. The research method used is an experiment with two classes, namely the experimental class and the control class as a comparison with conventional learning. The results obtained that there is an average difference between students with learning using interactive multimedia collaborative better than students with conventional learning.
Contextual Learning-Based E-Student’s Worksheet for Grade VI Elementary School

There are still many teachers who have difficulty in making appropriate learning tools for students. It has an impact on learning activities that are not running optimally. This research aims to develop an E-Student’s Worksheet based on contextual learning of the characteristics of living things and their environment. This type of research is R&amp;D using the ADDIE model. The subjects of this study consisted of 2 media experts and 2 material experts, research trial were 1 teacher/practitioner and 10 fifth-grade students. The data collection methods were observation, interviews, and questionnaires. The instrument used is a rating scale. The data analysis technique used in this research is the descriptive qualitative analysis and descriptive quantitative analysis. The results of the study are the scores obtained based on the assessment of learning media experts, coloring with a value of 5.00 (very valid), the display of E-Student’s Worksheet is 4.33 (Valid), and Presentation of 5.00 (very valid). The average value of E-Student’s Worksheet media validation from media experts is 4.78 (very valid). The overall result of the average validation of the material is 4.66, therefore the material presented on the E-Student’s Worksheet is very valid. The teacher's assessment results are 95% (very practical), and the student's assessment results are 92.2% (very practical). It is concluded that contextual learning-based E-Student’s Worksheet is feasible to use in the learning process because it can help students understand the material and motivate them to learn well.
Culture of Digital Literacy in Thematic Learning at the Basic Education Level

Learning during the pandemic hasn’t optimally, literacy has decreased so it is necessary to cultivate digital literacy. This study aims to analyse the cultivation of digital literacy and its supporting and inhibiting factors. This research includes qualitative research with a descriptive type. The subjects of the study were teachers, students and principals. Data collection techniques are interviews, observations, and documentation, instruments in the form of interview guidelines, observation sheets and documents. Test validity of the data using source triangulation techniques. Research data analysis is interactive analysis. The results showed that the cultivation of digital literacy can be through activities: 1) digital-based learning, 2) introduction to use of laptops, 3) education on the wise use of cellphones. The cultivation of digital literacy is influenced by several supporting factors, namely: availability of infrastructure, commitment of school residents to increase digital field, the inhibiting factors are the competence of educators, students and parents are low in the digital literacy, there isn‘t internet at home, the focus of teachers in digital literacy is lacking due many tasks, lack of infrastructure. So the cultivation of digital literacy in thematic learning in elementary schools needs to be improved in terms of infrastructure, competence of educators and students.
Inquiry-Based Phase Change E-Module For Third Class Students

This research is motivated by the use of teaching materials in the form of worksheets, the material presented is less attractive so that it cannot be on time during the learning process. This affects the ability of students to think critically to solve material problems of change of form. This study aims to develop an inquiry-based e-module of transformation for grade 3 elementary school students. The subjects of the study were 10 grade 3 elementary school students. Development research methods using 4D models include Define, Design, Develop, and Disseminate. Intrument used in this study is questionnaire sheets. The data analysis used quantitative and qualitative techniques through media and material expert validators and teacher and student response questionnaires. The results showed that the inquiry-based phase change e-module was declared feasible or valid with an average score of 94.16% (Media Expert) and 82.36% (Material Expert). The use of e-modules through a questionnaire response of 92.75% of teachers and 84.79% of students was efficient. Therefore, it influences students' understanding of phase change material with an average value of 81. So that inquiry-based phase change e-modules can help students improve students contextual abilities foster students' cognitive and independent attitudes.
The Use of Microsoft Teams during Distance Learning and Its Impact on Increasing Students’ Reading Interest

Due to the COVID-19 pandemic, all education units in Indonesia have implemented distance learning programs. This requires schools to use learning platforms to enhance teacher and student learning interactions. Therefore, it is necessary for teachers to make learning more interesting and achieve learning objectives with available platforms. This study aims to analyses more deeply learning designs utilizing Microsoft Teams within distance learning to increase reading interest in lower grade students during the pandemic. Descriptive qualitative methods are applied as the approaches to describe and explain the actual circumstances. The research subject consisted of 5 teachers, 10 students, and 10 parents. The method of data collection in this study is to use observations and interviews were conducted online employing Google Form or phone due to the Covid-19 pandemic occurred in Indonesia during the research. The analysis technique used is descriptive qualitative. The result shows the effectiveness of Microsoft Teams for the online learning in enhancing lower grade students’ reading interests. The interesting features offered in it also make it easier for teachers and students to perform teaching and learning activities, while parents can participate in monitoring their children's learning progress as well. Suggestion: parents can also participate to monitor activities and developments in learning process.
The Cre@tive Expedition for science literacy

Students experience the natural science subjects as lacking relevance in relation to their everyday lives.New solutions are needed to maintain students' interest in science subjects.Students' interests are closely linked to the experience of relevance and meaningfulness, which can be promoted by experiential learning with a high degree of student involvement.Students acquire knowledge and skills through practical experiments and scientific data collection and analyses, which can increase their interest in science and increase their science literacy.Citizen science projects involve the public in research, including the problem-definition and development phases.The current project is embedded in education science with the purpose of designing, testing, and evaluating innovative learning activities with the active involvement of students and teachers.These learning activities involve experiential learning and integrate participants' bodies, senses and physical activities, with the goal of increasing participants interest in science and developing their scientific literacy.By an exploratory and emerging process, which involved researchers, practitioner, and students, we created The Cre@tive Expedition.In The Cre@tive Expedition participants use their bodies and senses to solve tasks at the outdoor Active Living Laboratory.The concept is structured as an educational Escape Room designed for participants to problem-solve, collaborate, and be active and experimental.Until now, the concept has been tested in three settings, which has fueled the vision of the development of the Active Living Laboratory as a place where children, teens, and other citizens can engage with science, as well as scientists, and participate in experimenting through inspiring and physically active STEM learning activities.With a citizen science approach, we will explore and develop the involvement of students in all phases of the research project, which is currently in the initial development phase.Based on our participation in CitSci2022, we will further develop our involvement of the public in the research process and in the development of new ways of integrating the body, senses and physical activities through fun, inspiring, and challenging learning.
Aesthetic Experience, Artistic and Creative Activities as the Components of Creative Potential of a Personality

the aim of our article is to show the role of aesthetic experience, artistic and creative activities as the components of creative potential of the person in the paradigm of two dominant approaches – in the sphere of integrative and conative approaches. methods of the research. The following theoretical methods of the research were used to solve the tasks formulated in the article: a categorical method, structural and functional methods, the methods of the analysis, systematization, modeling, generalization.the results of the research. In the paradigm of the integrative approach we found that in the mind of an adult the following principles are transformed: motivational and goal components integrate into a holistic motivational goal, creatively focus on learning. In the paradigm of the conative approach, there were proposed such structural components of subjective activity of the person: the formation and the achievement of personally significant goals; motivation for learning and self-development; intellectual initiation; reflection and intro-spection, determination of thinking and dominance of other metacognitions; in-dependence; social activity; freedom of creative choice and responsibility for it; initiative; self-realization; communicativeness; predictability.conclusions. Summarizing the views of current psychological researches, it can be noted that they in a great degree emphasize such creative personality traits as productive ones, creative thinking, the implementation of creative cha-racteristics, transformative human activity, the need for self-affirmation, mate-rial well-being, the transformation of the surrounding natural and social world, the implementation of doping strategies in the context of life achievements of the individual (a conative approach); intellectual activity, psychological flexibi-lity, creative motivation, multivariate vision of the surrounding world, originality, divergence; personal achievements (integrative approach).