Reviewerly/exHarmony huggingface dataset:
A STRUCTURALANALYSIS OF RUPI KAUR’S SELECTED POEMS IN THE SUN AND HER FLOWERS

Poetry, as a type of literary work, is a form of imaginative art that serves not only to entertain readers but also to educate or inform them about certain subjects. The primary data for this study came from Rupi Kaur's book The Sun and Her Flowers, specifically the poems Legacy, To Witness a Miracle, Timeless, Introvert, and Ode to Raymond Douillet'sA Short Tour and Farewell. The primary objective of this study was to ascertain the intrinsic and extrinsic elements present in the poems. Secondary data sources included journals and a few works of literature. The structural approach was chosen for this study because it is commonly used to describe intrinsic and extrinsic elements. This research employed a qualitative approach. The research discovered intrinsic elements such as theme, figurative language, diction, symbolism, and imagery, while extrinsic elements provided context for the poem's creation. This research was intended to serve as a guide for those interested in conducting research on the intrinsic and extrinsic elements found in poetry.
Technology Acceptance Model for evaluating the Use of the Indonesian Standard Quick Response Code (QRIS): a case study of MSMEs in Bali

Quick Response Code Indonesian Standard (QRIS) provides efficiency and effectiveness benefits of cashless payment services in the marketing sector and encourages collaboration in the payment ecosystem. This study evaluates the behavior of MSMEs in accepting the use of QRIS. This research aims to evaluated perceived usefulness, perceived ease of use, and attitudes toward technology of MSMEs towards QRIS. The subjects of this study were MSMEs in Bali who had received training and used QRIS. Data was collected by distributing questionnaires to MSMEs that were already using QRIS. The data collected were analyzed using quantitative statistical data research methods to examine the relationship between research variables, and using descriptive qualitative data analysis, with the aim of obtaining as complete information as possible regarding the acceptance of the use of QRIS. The results of data testing showed that the perceived usefulness and Perceived Ease of Use variable contributes to Attitude Toward Technology towards QRIS. Perceived of Usefulness has a positive and significant effect on Attitude Toward Technology. Perceived Ease of Use has no positive and significant effect on Attitude Toward Technology.
Dark Side of Digital Literacy

Education is a field of indispensable transformation. During the hard time of pandemic outbreak, the method of teaching and learning changed undeniably. What had caused the changes? The pandemic or the learning needs and practices of students. Students’ learning needs are, of course, a priority. What could be the ideal form of teaching learning when students are not able to attend their daily transaction of subject content? It's only possible through the virtual mode. A very challenging period for the teaching fraternity, the student community, and the parents as well. Students must adapt themselves to virtual learning, and teachers must equip themselves with a new method of teaching. It is the parents' responsibility to procure items that please their wards. The current scenario of teaching and learning is therefore reliant heavily on digital literacy skills. In every coin there is a flip side. Similarly, digital literacy also has its pros and cons. The objective of this paper is to bring to light the dark side of digital literacy.
The Contribution of Geological Maps and Mapping to Industrial Scale Design

The aim of this work is to highlight the contribution of geological maps and mapping to industrial scale design. To achieve this goal, the site selection of a new quarry area is used as an example. For the development of a new quarry, the materials to be mined must meet specific requirements, mainly acceptable quality, adequate reserves, environmental restrictions, and economic viability. Geological maps of various scales were used in all stages of this research project. Initially, geological surveillance maps (1:50,000), which formed the basis for the sampling, were used. Finally, this research project was completed with the detailed mapping of two candidate areas for the development of the new quarry.
The Trend Directive of Watermarking Techniques with Preliminary Estimates

Authentication is required to protect the content of the data because the owner never wants to degrade the quality of his data. Digital Watermarking is a fascinating study topic for research because it is an appropriate solution for claiming authorization. The interaction balance between imperceptibility, robustness, capacity, and safety must be maintained in developing an efficient and robust digital media watermarking system. And to ensure this, through the various domains, including spatial and transformation domains, have been hybridized to meet these required criteria, that are used for embedding in digital files. Also, reversible watermarking is employed to rebuild signals without data loss, increase embedding capacity, or reduce the system's perceptual impact.. During these articles reviews, we noticed some methods reached PSNR > 70 dB or to > +∞ dB, while embedding capacity reached 512 * 512 bbp.
The Development of Elementary School Social Science Course Teaching Materials on Mobile-Learning Based Android to Increase College Students’ Academic Performance

This study aims to: (1) develop teaching materials for Elementary School Social Science course on mobile learningbased android and (2) know the feasibility level of the developed teaching materials.This type of research is Research and Development by adapting the modified Borg & Gall model into five stages, namely information gathering, product planning, product development, product validation, and product evaluation.The results showed that (1) software of teaching material for Elementary School Social Science course on mobile learning-based android had been compiled based on input from validators, and (2) the teaching materials for the Elementary School Social Science course developed are considered suitable for use in learning in terms of material aspect and design aspect.The assessments from the experts are as follows: the validation result of the material expert for the content aspect is in very good qualification (85.6%), the material expert validation result for the presentation aspect is in very good qualification (85.9%), the material expert validation result for the language aspect is in very good qualification (86.4%) and the average validation result from design expert in very good qualifications (86.1%)
Specifics of interpretation of traditional eastern practices in European acting training

The purpose of the article is to identify the features of adaptation of oriental theatrical, physical, and spiritual practices by representatives of the European theater in the process of developing methods of actor training based on the analysis of acting training of leading directors of the twentieth century. - K. Stanislavsky, E. Grotovsky, E. Barba. Methodology. A typological method was used (to determine the specifics of acting training methods by K. Stanislavsky, E. Grotovsky, and E. Barba; interpretive method and method of comparative analysis (to identify common and different aspects of interpretation of Eastern practices by European directors); phenomenological method (to identify features of Eastern and spiritual practices and their adaptation to acting training), etc. Scientific novelty The specifics of borrowing and interpretation of traditional in East, Southeast, and Central Asia elements of actor training by Russian and European theater directors of the twentieth century are considered. K. Stanislavsky, E. Grotovsky, and E. Barba and revealed the peculiarities of adaptation by theater directors and teachers of elements of hatha yoga and Raja Yoga in accordance with their own understanding of the purpose of training in the art of acting. Conclusions. Various elements of traditional Western and Eastern cultural practices have been the focus of twentieth-century theater directors. in the process of developing innovative methods and techniques of educating the actor. Their research of local theatrical cultures contributed to the search for universal laws of stage conventionality, new acting methods of self-knowledge, and the disclosure of their own creative potential. In their own search for methods of educating the actor theater directors of the twentieth century. turn to the Eastern worldview, because the extraordinary method and a special view of the nature of consciousness and its functioning in the world contributes to the creation of training to solve a number of applied problems in the context of the specifics of acting. Translating material (Eastern practices) into a Western conceptual structure or any kind of synthesis of Eastern and Western concepts, simplifying, does not reveal the full depth of Eastern practices and religious orientations, but contributes to the actor's mastery of innovative methodological approaches, including intuitive insights, contemplation, contemplation. etc.
Didactic and psychological aspects of the use of internet technologies in higher professional education

The article deals with information, cognitive, psychological barriers and difficulties faced by students in the process of educational and cognitive activity in the Internet environment, and pedagogical conditions and factors of their overcoming as well. The aim of the article is to consider effective ways of using Internet technologies in the process of professional training of specialists; forms of integration of pedagogical technologies with the latest digital technologies for enriching the personal educational sphere of students; development of the culture of intellectual work.
Attribute Extraction Study in the Field of Military Equipment Based on Distant Supervision

The effective organization and utilization of military equipment data is an important cornerstone for constructing knowledge system. Building a knowledge graph in the field of military equipment can effectively describe the relationship between entity and entity attribute information. Therefore, relevant personnel can obtain information quickly and accurately. Attribute extraction is an important part of building the knowledge graph. Given the lack of annotated data in the field of military equipment, we propose a new data annotation method, which adopts the idea of distant supervision to automatically build the attribute extraction dataset. We convert the attribute extraction task into a sequence annotation task. At the same time, we propose a RoBERTa-BiLSTM-CRF-SEL-based attribute extraction method. Firstly, a list of attribute name synonyms is constructed, then a corpus of military equipment attributes is obtained through automatic annotation of semistructured data in Baidu Encyclopedia. RoBERTa is used to obtain the vector encoding of the text. Then, input it into the entity boundary prediction layer to label the entity head and tail, and input the BiLSTM-CRF layer to predict the attribute label. The experimental results show that the proposed method can effectively perform attribute extraction in the military equipment domain. The <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>F</mi> <mn>1</mn> </math> value of the model reaches 77% on the constructed attribute extraction dataset, which outperforms the current state-of-art model.
Measuring Effectiveness of Project Communication Channels in Affected Communities in Nepal

This study is identifying the most appropriate communication medium to communicate with local people by Arun-3 Hydropower Project (AHPP) especially focusing on the project construction phase. Since, the study is focused on the construction period when chances of misunderstanding, miscommunication, and other conflicts between project-affected people and the project, will be high due to higher incidences of social and environmental issues. This study was completed by applying mix method of research where quantitative research was conducted through a survey among local people of Makalu Rural Municipality (MRM) of Sankhuwasabha and a case interview was done with the chairman of the same Rural Municipality. The study has revealed that local radios and public meetings are the most recommended mediums that participants expected to support the project in properly disseminating project-related information to local people. This article suggests that AHPP should disseminate information about project activities mainly through local radios and public meetings. This study also concludes that the project developer is not providing sufficient information about project activities to local people, which is also a source of misunderstanding between the two sides.
The Development of Project-Based Innovative Learning Resources for Teaching Organic Analytical Chemistry

An Organic Analytical Chemistry course is very important for prospective chemists because it builds competence in the analysis of organic compounds.This study aims to develop project-based innovative learning resources to guide students to study Organic Analytical Chemistry.The research was conducted by following the ADDIE model to develop learning resource for undergraduate students.The study involve 35 students of the Chemistry Study Program at 2020-2021 academic year.The results showed that innovative learning resource has been developed to facilitate students to learn the analysis of organic compounds.The implementation of learning resources has proven to be effective in guiding students in studying Organic Analytical Chemistry.It can facilitate students' independent learning in planning and carrying out their own projects for the determination of flavonoid compounds from real samples.The skills in the field of organic compound analysis including isolation, purification and identification of flavonoid compounds are achieved.Student learning outcomes are very good (M = 87.89±1.86),successively the portfolio of project proposals (M = 83.14±2.06),project reports (M = 90.37±1.05),and evaluation test (M = 90.17±2.48).It is concluded that project-based innovative learning resources are very appropriate to be used for teaching Organic Analytical Chemistry.
Solving the $k$-Sparse Eigenvalue Problem with Reinforcement Learning

We examine the possibility of using a reinforcement learning (RL) algorithm to solve large-scale eigenvalue problems in which the desired the eigenvector can be approximated by a sparse vector with at most $k$ nonzero elements, where $k$ is relatively small compare to the dimension of the matrix to be partially diagonalized. This type of problem arises in applications in which the desired eigenvector exhibits localization properties and in large-scale eigenvalue computations in which the amount of computational resource is limited. When the positions of these nonzero elements can be determined, we can obtain the $k$-sparse approximation to the original problem by computing eigenvalues of a $k\times k$ submatrix extracted from $k$ rows and columns of the original matrix. We review a previously developed greedy algorithm for incrementally probing the positions of the nonzero elements in a $k$-sparse approximate eigenvector and show that the greedy algorithm can be improved by using an RL method to refine the selection of $k$ rows and columns of the original matrix. We describe how to represent states, actions, rewards and policies in an RL algorithm designed to solve the $k$-sparse eigenvalue problem and demonstrate the effectiveness of the RL algorithm on two examples originating from quantum many-body physics.
Deep Measurement Updates for Bayes Filters

Measurement update rules for Bayes filters often contain hand-crafted heuristics to compute observation probabilities for high-dimensional sensor data, like images. In this work, we propose the novel approach Deep Measurement Update (DMU) as a general update rule for a wide range of systems. DMU has a conditional encoder-decoder neural network structure to process depth images as raw inputs. Even though the network is trained only on synthetic data, the model shows good performance at evaluation time on real-world data. With our proposed training scheme <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">primed data training</i> , we demonstrate how the DMU models can be trained efficiently to be sensitive to condition variables without having to rely on a stochastic information bottleneck. We validate the proposed methods in multiple scenarios of increasing complexity, beginning with the pose estimation of a single object to the joint estimation of the pose and the internal state of an articulated system. Moreover, we provide a benchmark against Articulated Signed Distance Functions(A-SDF) on the RBO dataset as a baseline comparison for articulation state estimation.
Evaluating the Effect of Supplementary Irrigation on Improvement of Economic Water Productivity for Winter Wheat

Utilizing of subsurface water retention technology is a modern technique to retain and save the application water for sustainability of agricultural production through scheduling and management the irrigation processes.The goal of this paper is to evaluate the effect of the supplementary irrigation and rainfed water on improvement of economic water productivity for winter wheat.The experiment was conducted in open field, within Joeybeh Township, located in east of the Ramadi City, in Anbar Province, for the growing season 2018-2019.Two plots were used for comparison process, the first plot where membrane trough below the root depth was installed and supplementary irrigation system was conducted beside the rainfed water and according to scheduling the irrigation process as checkbook method.While in second plot, the membrane trough was installed and only rainfed water was depend on.Cultivated date of winter wheat was December, 20 th , 2018, and the harvest date was May, 10 th , 2019.The obtained result was showed that the crop yield and economic water productivity from the first plot and the second plot were equaled to 0.52 kg/m 2 and 0.35 kg/m 2 , and 930 ID/m 3 and 800 ID/m 3 , respectively.The increasing value of crop yield and economic water productivity in the first plot was more than that in the second plot by 49 % and 16 %, respectively.The benefits of applying supplementary irrigation system with installing the new techniques of retaining the applied water were sufficient in improvement the crop yield and accordingly improved value of the economic water productivity.
Teachers Challenges In The Using Of Blood Learning Media In Kids Garden

Abstract This study aims to reveal the challenges of teachers in using online learning media and to find solutions that can be taken by teachers. In the current pandemic, teachers are required to be able to master technology, so that teachers can take advantage of various online media in learning. Currently, many PAUD teachers are confused about utilizing technology-based online media. Finally, in a simple way, the teacher gives written assignments through the WhatsApp group for parents to work on by children. This new activity requires teachers to have competence in operating technology to design and use appropriate learning media for children. Teachers are required to quickly adapt to technology so that teachers are able to use various applications to support online learning at. The research method used is a literature study where the data collection technique is through processing and analyzing various sources or references to scientific journals and books whose relevance with the problem to be studied. Data analysis relates problems to theories contained in scientific journals or appropriate books. The results of this study found that in the use of online learning media, there were several challenges for teachers such as the weak competence of teachers in mastering technology, the lack of facilities and infrastructure in utilizing various online learning media and the limited internet network in covering other online learning media. The solution that teachers can take is to conduct various trainings, webinars or workshops. Teachers can also take advantage of various training platforms provided by the Ministry of Education and Culture, free or paid.&#x0D; Keywords: Teacher Challenges, Online Leraning Media, Early Childhood
Study on Chinese Semantic Content Based on Syntactic Differences Between Chinese and English

Many disputes appear between minimalists and contextualists in explaining semantic content.This article aims to explore Chinese semantic content based on syntactic differences between Chinese and English.The differences roughly include no tense for predicate verbs, no plural forms for nouns, no case change in forms for pronouns, no formal change between verbs and nouns in sentences, no subjects for many sentences, etc.Through analyses, it is revealed that though Chinese is very context-sensitive, both minimalism and contextualism account for its semantic content.These two linguistic views should not be split completely.
Optimal filter bank representation in texture classification using support vector machines

Texture analysis has been a field of study for over three decades in many fields including electrical engineering. Today, texture analysis plays a crucial role in many tasks ranging from remote sensing to medical imaging. Researchers in this field have dealt with many different approaches, all trying to achieve the goal of high classification accuracy. The main difficulty of texture analysis was the lack of ability of the tools to characterize adequately different scales of the textures effectively. The development in multi-resolution analysis such as Gabor and Wavelet Transform help to overcome this difficulty. This thesis describes the texture classification algorithm that uses the combination of statistical features and co-occurrence features of the Discrete Wavelet Transformed images. The classification accuracy is increased by using translation-invariant features generated from the Discrete Wavelet Frame Transform. The results are further improved by focussing on the transformed images used for feature extraction by using filters which essentially extract those areas of the image that discriminate themselves from other image classes. In effect, by reducing the spatial characteristics of images that contribute to the features, the texture classification method still has the ability to preserve the classification accuracy. Support Vector Machines has proved excellent performance in the area of pattern recognition problems. We have applied SVMs with the texture classification method described above and, when compared to traditional classifiers, SVM has produced more accurate classification results on the Brodatz texture album.
HEALTH INFORMATION SYSTEMS SUPPORTED BY MOBILE TECHNOLOGIES:

Information systems have been standing out and constantly evolving due to changes and the economic impact they produce on organizations and society, and also due to the evolution of information technology itself. These systems are made up of a structure capable of guaranteeing the collection and transformation of data into information, and the involvement of professionals in processes of selection, collection, classification, storage, analysis, dissemination and data retrieval is essential. Mobile technologies offer support so that information systems can be implemented and used more efficiently and quickly, but there are many obstacles, such as the unavailability of technological resources by a large part of the population, difficulties in accessing and connecting, among others. The methodology used to carry out this study was the bibliographical research through literature analysis of scientific articles and other texts. It was concluded that health information systems and mobile technologies tend to conquer more space each day, as they provide more agility and quality in health services, but it is still necessary to improve the population's access to these technological resources.