Reviewerly/exHarmony huggingface dataset:
Support Interface for Retrieving Comic Contents Using Characters’ Appearance Frequencies

People often want to re-read the comic scenes where a character first appears and where a character plays actively. They can use a search engine like Google to find where the scene is. The search results often include information about unrelated parts, which might reduce their enjoyment of comics. There are not useful search engines for comic content retrieval. We assume that people can recall a comic scene by looking at the information about characters’ appearance frequencies if they have already read the part of the comic. This paper proposes a support interface for comic content retrieval that visualizes the information of characters’ appearance frequencies. Characters’ appearance frequencies are counted up by the number of characters’ speech lines. The frequencies are visualized with a stacked area graph. The visualized information supports users in comic content retrieval. The authors conducted evaluation experiments. The authors asked experimental participants to read comics and answer the questions about comic contents designed by the authors. The participants were divided into two groups: an experimental group and a control group. The experimental group used the proposed interface in answering questions while the control group used a search engine. The authors compared the correct rates between the two groups. The correct rate of the experimental group was 81% while that of the control group was 67%. Statistical test results indicated that the proposed interface could support the retrieval of scenes where a character plays actively without explicitly indicating the comic content.
A Method of Labeling to the Topic in a Chat Dialogue

In this research, we propose a method of labeling a topic word for the sections in a chat dialogue. First, we investigated how humans label topic words. As a result, it was found that the words included in the first sentence in which the topic started and the words associated with the words appearing evenly in the section were given as a topic words. It was also found that non-characteristic words that appear in other sections were selected as the topic word when labeling is based on the frequency of appearance of words in the section. We first obtain the words with high TF-IDF in the first sentence of the section as the candidate for the topic word. The words with high DF value that appear regardless of the topic are set to exclude words as the stop word. We compared the label using the proposed method with labels given by humans. It was confirmed that the accuracy of labeling was improved.
A Synonym-based Approach for the Semantic Indexing of Texts

In this work, we present an algorithmic technique for text indexing based on the utilization of classes of synonyms. The method proposed in this study utilizes a set of synonym classes in order to develop a more abstract representation of a given text focusing on the indexing of texts that express semantic similarity, according to the terms utilized. The content of the texts under consideration is represented by a set of terms that correspond to the class of synonyms substituting each term of the sentences of the text. In the proposed approach the terms are stored into vectors where the uniqueness and the multiplicity of their appearance inside the text are considered to deploy a corresponding similarity metric. Through the development of our model, we omit words that consist of monograms, di-grams and tri-grams, where a novel approach is deployed considering the optimally discriminating words over each class of synonyms that characterize each thematic area on which a text is indexed according to its relevance with semantically similar texts. We describe thoroughly the proposed approach and perform a series of evaluation experiments utilizing an adequate number of text samples from specific thematic areas, such as business, politics, sports, entertainment and technology, intending to attest the potentials of our proposed model to index texts from specific areas.
Research on Quantitative Optimization Method Based on Incremental Optimization

Existing automatic mixed-precision quantization algorithms focus on search algorithms, ignoring the huge search space and inaccurate performance evaluation criteria. In order to narrow the search space, this paper analyzes the influence of quantization truncation error and rounding error on the performance of quantization model from the perspective of progressive optimization. It was found that for a given model, the quantization truncation error is a constant, while the quantization rounding error is a function of the quantization accuracy. Based on this, this paper proposes a finite-error progressive optimization quantization algorithm. In order to solve the problem of inaccurate performance evaluation criteria, based on quantitative loss analysis and reasoning, this paper proposes a performance evaluation criteria based on Hessian matrix. Adam's second-order gradient is used as proxy information to reduce the computational complexity of Hessian matrix. The method obtains a model that satisfies the hardware constraints in an end-to-end manner. Rigorous mathematical derivation and comparative experiments have proved the rationality of the algorithm, and its performance far exceeds the current mainstream algorithms. For example, on the ResNet-18 network, while achieving a search space reduction of 1019x, the computational efficiency of the model performance evaluation standard is increased by 12 times, and the mixed precision model only loses 0.3% of performance, while achieving a 5.7x compression gain.
HUMAN ACTIVITY RECOGNITION USING LSTM MODEL

Detecting the physical body movements of a human is called Human Activity Recognition . HAR is a time series classifying work, means it can be used in different fields, domains and varieties of application. Sensor data are used. The Movements here are often regular activities like walking, jogging, standing and sitting. In general deep learning architecture manages HAR job with a distinct result. Long Short Term Memory (LSTM) neural architecture which is a deep learning model can be designate as a distinct sort of recurrent neural network model this is able to gaining knowledge of long time dependencies in data. The LSTM neural network model comprises a merger of four layers that interact with each other. We have used Long Short Term Memory neural architecture in UCI HAR dataset to identify the type of activity or movement the person is doing. We saw that after the network completes training, optimization and accuracy is found to be 87% to 90% also a graph and confusion matrix has been used to show the losses, accuracies, training iteration, etc.
Comparative study of DL-based methods performance for camera model identification with multiple databases

Camera identification is an important topic in the field of digital image forensics.There are three levels of classification: brand, model, and device.Studies in the literature are mainly focused on camera model identification.These studies are increasingly based on deep learning (DL).The methods based on deep learning are dedicated to three main goals: basic (only model)triple (brand, model and device) -open-set (known and unknown cameras) classifications.Unlike other areas of image processing such as face recognition, most of these methods are only evaluated on a single database (Dresden) while a few others are publicly available.The available databases have a diversity in terms of camera content and distribution that is unique to each of them and makes the use of a single database questionable.Therefore, we conducted extensive tests with different public databases (Dresden, SOCRatES, and Forchheim) that combine enough features to perform a viable comparison of DL-based methods for camera model identification.In addition, the different classifications (basic, triple, open-set) pose a disparity problem preventing comparisons.We therefore decided to focus only on the basic camera model identification.We also use transfer learning (specifically fine-tuning) to perform our comparative study across databases.
A spectral-based analysis of the separation between two-layer neural networks and linear methods

We propose a spectral-based approach to analyze how two-layer neural networks separate from linear methods in terms of approximating high-dimensional functions. We show that quantifying this separation can be reduced to estimating the Kolmogorov width of two-layer neural networks, and the latter can be further characterized by using the spectrum of an associated kernel. Different from previous work, our approach allows obtaining upper bounds, lower bounds, and identifying explicit hard functions in a united manner. We provide a systematic study of how the choice of activation functions affects the separation, in particular the dependence on the input dimension. Specifically, for nonsmooth activation functions, we extend known results to more activation functions with sharper bounds. As concrete examples, we prove that any single neuron can instantiate the separation between neural networks and random feature models. For smooth activation functions, one surprising finding is that the separation is negligible unless the norms of inner-layer weights are polynomially large with respect to the input dimension. By contrast, the separation for nonsmooth activation functions is independent of the norms of inner-layer weights.
Digital control of a superconducting qubit using a Josephson pulse generator at 3 K

Scaling of quantum computers to fault-tolerant levels relies critically on the integration of energy-efficient, stable, and reproducible qubit control and readout electronics. In comparison to traditional semiconductor control electronics (TSCE) located at room temperature, the signals generated by Josephson junction (JJ) based rf sources benefit from small device sizes, low power dissipation, intrinsic calibration, superior reproducibility, and insensitivity to ambient fluctuations. Previous experiments to co-locate qubits and JJ-based control electronics resulted in quasiparticle poisoning of the qubit; degrading the qubit's coherence and lifetime. In this paper, we digitally control a 0.01~K transmon qubit with pulses from a Josephson pulse generator (JPG) located at the 3~K stage of a dilution refrigerator. We directly compare the qubit lifetime $T_1$, coherence time $T_2^*$, and thermal occupation $P_{th}$ when the qubit is controlled by the JPG circuit versus the TSCE setup. We find agreement to within the daily fluctuations on $\pm 0.5~\mu$s and $\pm 2~\mu$s for $T_1$ and $T_2^*$, respectively, and agreement to within the 1\% error for $P_{th}$. Additionally, we perform randomized benchmarking to measure an average JPG gate error of $2.1 \times 10^{-2}$. In combination with a small device size ($<25$~mm$^2$) and low on-chip power dissipation ($\ll 100~\mu$W), these results are an important step towards demonstrating the viability of using JJ-based control electronics located at temperature stages higher than the mixing chamber stage in highly-scaled superconducting quantum information systems.
Development of Mepocha Online Learning Methods Assisted by Microsoft Teams in English Learning

The demands for changes in the digital era based on technology and the situation and conditions of the Covid-19 pandemic affect various aspects of life.Education does not escape these changes by changing direct learning to online learning as a follow-up to distance restrictions.The transition resulted in many problems due to the unpreparedness of both teachers and students both in creativity, innovation, and technological competence.The many features and applications offered have not been used properly in learning.This is where the development of online learning methods is needed and Mepocha which includes meetings, postings, chatting becomes a solution with the help of the Microsoft Teams application.
EDUCATIONAL INNOVATIONS, THEIR CHARACTERISTICS AND STAGES OF IMPLEMENTATION IN PRIMARY SCHOOL

The article reveals and characterizes the essence and content of innovations in education, distinguishes between the concepts of “novelty”, “newness” and “innovation”, which have semantic differences in the result obtained in the process of their practical implementation. Priority educational innovations in primary school, innovative methods, technologies, and organizational forms of education of junior schoolchildren are given. Based on the analysis, the classification of educational innovations according to the degree of novelty was performed: retro-innovation, modified, combinatorial and author’s innovations were identified, which are illustrated schematically. It is emphasized that only the last two types of it provide for the formation of new essential features both for the subjects of the innovation process and for its results, but the absolute innovation is only the author’s innovation.The author pays special attention to determining the features of the development of the innovation process in the educational space of primary school, reveals five stages of its implementation, namely: identifying innovations and deciding on the need for its implementation; substantiation and elaboration of innovations, forecasting of the process of their realization and consequences; creation of experimental groups for the introduction of innovations; development of the author’s model of introduction of innovation in the educational process of junior schoolchildren and pedagogical conditions that ensure its effectiveness; implementation.&#x0D; Keywords: educational innovations; retro-innovation; modified innovation; combinatorial innovation; author’s innovation; primary school; junior schoolchildren; primary school teacher.
Social Intelligence and its Relationship With Communication Skills among Physical Education Students at Jordanian Universities

The present study aims at recognizing social intelligence and its relationship with communication skills among physical education students at Jordanian Universities, and recognizing the differences in the relationship between social intelligence and communication skills according to variables of (gender, educational level, and universities). The researchers used the descriptive approach (survey). The study sample consisted of (418) male and female students whom were chosen randomly. Study instruments consisted of the social intelligence and the communication skills scales. Scales were standardized in terms of validity and reliability. Sample of the study consisted of the faculties of physical education in Jordanian universities, namely (The University of Jordan, The Hashemite University, Mut’ah University, and Yarmouk University). In order to answer the objectives of the study, the statistical package for social sciences (SPSS) program was used, in addition to the frequencies, percentages, means, and standard deviations. The study concluded that there is a medium positive relationship between social intelligence and communication skills, which means that the more social intelligence, the greater communication skills students have, where the level of social intelligence reached (3.89) and the level of communication skills reached (3.86). The researchers recommend using the two scales to measure social intelligence and communication skills for another sample equivalent to the research sample at Jordanian universities.
The role of Home-School-Community Partnership in Promoting Reading

This research discusses the importance of encouraging children to read and to root reading habit them, and the essentiality of that for the formation of knowledge society. To do that the research tackle reading as a concept and process and its cultural, educational and social dimensions; the start of the relation with book and reading and its motivation as well as its sustainability; and the importance of children literature in all of that. The research sheds light on the effective parties in this aspect; the child, the school, the family and the community and the role of each individual party. Then it discusses the home-school-community partnership (HSCP) in general and the role of such partnership in promoting reading habit towards the targeted outcome: a reader individual in the framework of lifelong learning. The research concludes by presenting examples of reading promoting activities through HSCP.
Jordanian Electronic Newspapers and Shaping the Public’s Attitudes towards Social Issues

This survey study aims to identify the role of the Jordanian electronic newspapers in shaping the Jordanian public’s attitudes towards community issues. The questionnaire used a tool to collect information from a publicly available sample of 500 respondents. The results of the study revealed the public’s interest in reading Jordanian electronic newspapers by 78.2%. The level of interest of the Jordanian electronic newspapers in publishing topics about social issues of concern to individuals in their lives was weak, and it did not have priority in publishing, it came in fourth place, with a mathematical average of 2,962, a medium level. The results indicated that Jordanian electronic newspapers have a role in shaping the positive attitudes of the public towards a number of important community issues, foremost of which is the criticism of the negative effects of the phenomenon of corruption, with an average of 4.544 at a high level, but its role was weak in raising awareness of the negative effects of rumors, with an average of 1.866, at a low level. On the issues of Jordanian society, and the formation of public attitudes towards those issues. The study recommended that the Jordanian Media Commission encourages the establishment of specialized electronic community journalism that is concerned with the human aspect of social life, and analyzes social problems and ways to address them, to contribute positively to the advancement of society.
Importance of references’ science in information and library studies

The research aims to explore the value of reference terms and its added value, and this by identifying the reference term opposite to bibliography term that has been restored to its origins in Arabic language, and its approval by the councils of the Arabic language and its display in Arab intellectual production. The documentary approach was used to achieve the goals of this research, which was one of its most prominent results, to reach that there is a disparity in understanding what is the reference term and its awareness and definition. The research concluded that the reference term is the Arab equivalent of the term bibliography, and the term of references as opposed to bibliographies and proven sources as opposed to the term sources and references, However, the reference term has many and varied benefits that go into all areas of describing intellectual production, which proves that it has a basic value and added value that comes in the form of indispensable returns and guidance for workers in the library sector, publishing houses and publishers in all their spectrum.
The Role of Social Media Networks in Enriching the Arabic Digital Content in Humanities and Sciences from the Perspective of Jordanian Universities’ Students

The study aims to identify the role of social media networks in enriching and supporting the Arabic digital content from the perspective of students at the faculties of humanities and sciences in the Jordanian universities and the possible obstacles. A questionnaire of (25) items was designed and administered electronically via WhatsApp, Instagram and Facebook to (488) students at the University of Jordan and Al-Ahliyya Amman University. The study reveals that the role of social media networks in enriching and supporting the Arabic Digital Content is significant while the obstacles of such enrichment and support is at a medium level. The present study does not show any statistically significant differences between the means that could be attributed to variables such as gender, university, faculty or academic year.
A Human Factors Study of Risk Management of Complex Agile Scrum Projects in Large Enterprises

Agile Project Management methods have gained phenomenal success in the IT software world in managing projects of high complexity and uncertainty. However, Agile projects come with their unique set of risks. This paper seeks to explore the risks posed by human factors to complex Agile Scrum projects in large enterprises. Project Risk Management is crucial in determining the future performance of a complex project. Increasing project complexity makes it more and more difficult to anticipate potential events that could affect the project and to make effective decisions to reduce project risk exposure. This is even more true for Agile projects that promote immediate and frequent visibility of risk factors and distributed decision making in projects. A dominant reason for failure of complex Agile projects are the risks caused by human and organization factors. This paper will analyze the delivery risks posed by human factors and the traditionally hierarchical decision making in large enterprise systems.
Participatory Method and Regionalism Approach to Design Furniture for the Nginden Jangkungan Herbal Library in Surabaya

Surabaya’s vision to become a literacy city, initiated by the mayor, Tri Rishmaharini, led to the opening of 533 regional libraries by 2019. In 2020, Nginden Jangkungan Herbal Library was chosen as the best regional library in Surabaya, with facilities and infrastructure supporting various literacy activities. However, there is much that still can be developed, in terms of the visual and functional quality of its interior design. This research used the participatory design method combined with a regionalism approach. This method was used to engage the community to develop their library with their own strengths and resources. Meanwhile, a regionalism approach was adopted to develop the local potential of the library within a global perspective. The objective of this research was to enrich the use of local resources by utilizing them as part of the furniture design for the herbal library. There are many herbal plants on the surrounding site that can be used by the local community. Therefore, eco-print training was held to educate the community and provide a transfer of knowledge about the benefits of herbal plants other than for consumption. The results of this eco-print training were then used as a part of the library’s furniture, such as for the upholstery, and were designed in a modern way. Through the participatory method, the community can further develop this eco-print potential for the development of various products that can support the literacy activities of the public library.&#x0D; Keywords: literacy, participatory, regionalism, library, eco print
Creative Recycling of Cans and Paper Using Painting Techniques

Every day, people’s appreciation for handmade products is increasing. This is in part due to facilitation from the government of many exhibitions of handmade products that support the development of SME products and provides opportunities for them to stand out. One way to get people’s attention is to raise social issues, including environmental issues. The accumulation of waste left over from human consumption is something that must be considered. The 3R principle (reduce, reuse, recycle) is still a good concept to approach the reduction of waste in the community. The innovation of processing waste into reusable objects helps increase the life of objects. This research focused on creating recycled products with a combination of painting techniques. There were nine stages to the methods used in this research, starting from the collection of raw materials to the documentation of marketing processes. To ensure business continuity, the community was also involved in these efforts through the creation of new habits of waste collection: collecting consumables so that they can be repurposed into high-value items.&#x0D; Keywords: recycle, recycle waste, copies