Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF MOTIVATION IN THE NOVEL CINTAMU SELUAS SAMUDERA BY GOLA GONG AND ITS IMPLICATIONS FOR LEARNING INDONESIAN LANGUAGE IN SMA

Motivation arises when there is encouragement from within and outside a person so that there is a change in attitude to do something that is desired or desired. Motivation itself can be channeled through a literary work. This study aims to Analysis Of Motivation in the novel Love As Wide As The Ocean By Gola Gong And Its Implications For Learning Indonesia In High School. The method used in this research is descriptive qualitative method, meaning that the data found are in the form of words and the results will be presented descriptively. The data used in this study are excerpts from the novel entitled Cintamu Seluas Samudra by Gola Gong. The data source used in this paper is the primary data source in the form of text from the novel entitled Cintamu Seluas Samudra by Gola Gong which was published by the publisher in 2008. The technique of collecting data in this study was a note-taking technique. Checking the validity of the data in this study using the triangulation method. The analysis of motivation which is the focus of the research is internal and external motivation. Which includes internal motivation, namely self-esteem and achievement, expectations and needs, while motivation external, namely the environmental situation in general. From the results of the study, it was found that there were 57 data findings. By looking at the analysis of the motivational aspect, it can be seen that the motivation of hope is the most common finding in this analysis, while the other three forms of motivational aspects are found to be varied in data. These results provide a positive thing for learning Indonesian in high school.
Hybrid Semantic-Shannon Communications

&lt;p&gt;Recently, semantic communications have been considered as a promising beyond-Shannon paradigm to reduce network traffic and increase reliability, thus making wireless networks more energy efficient, robust, and sustainable. However, the performance is limited by the efficiency of the semantic transceivers, i.e., the achievable “similarity” between the transmitted and the received signal. If a strict similarity requirement holds, semantic transmission may not be applicable, thus Shannon communication is mandatory. In this paper, for the first time in the literature, we propose a multi-carrier Hybrid Semantic-Shannon communication system, where without loss of generality, the case of text transmission is investigated. To this end, a joint semantic-Shannon transmission selection and power allocation optimization problem is formulated, aiming to minimize the transmission delay, while it guarantees a strict similarity threshold. Despite its non-convexity, by utilizing alternating optimization the problem is separated into a convex and a mixed linear integer programming one, both of which can be optimally solved. Moreover, to improve the performance of the proposed hybrid scheme, a novel association of text sentences to subcarriers is proposed based on the sentence’s data size and subcarriers’ channel gains. We show that the proposed association is optimal in terms of transmission time delay. Numerical results and simulations verify the effectiveness of the proposed hybrid semantic-Shannon communication method and the derived sentence-to-subcarrier association, and provide useful insights on the designing parameters of such systems. &lt;/p&gt;
Elaboration of an educational flyer for patients on oral antineoplastic treatment in a highly complex oncology center

The incidence of cancer is growing in Brazil at a pace that accompanies the aging population due to increased life expectancy. Given the increase in supply and adherence to treatment using oral chemotherapy, we found the need for a nursing action extended to the home, proposing an orientation model for oncology patients about oral chemotherapy treatment, through a printed informative folder. Exploratory research, action research type, carried out from the identification of the needs of patients on oral antineoplastic treatment of a High Complexity Oncology Center of a teaching hospital, reference in oncology. Elaborated from a review of literature published in printed book format and through the MEDLINE, LILACS, SIELO databases, publications of the National Cancer Institute (INCA), in the period between 2015 and 2020. Our main contribution is to favor the understanding and adherence to oral home chemotherapy treatment, synthesize the main guidelines given in medical and/or nursing consultation in printed material - folder, so that he can consult it whenever he feels the need.
Identification of Fake Messages Using Two PKCs

Abstract In this paper, two public key cryptosystems are presented and analyzed. The first cryptosystem is an improvement of RSA public key cryptosystem. The second cryptosystem is a novel public key cryptosystem. The encryption/decryption moduli of the introduced new public key scheme is quite different from widely used encryption/decryption moduli by other public key cryptosystems. The introduced new public key cryptosystem based on the exponentiation congruence and use an interesting, computer-friendly modulus:2𝑛. These primitives can be used in protocols for authentication, key exchanges and digital signatures. The introduced two public key cryptosystems are more suitable for highly confidential digital transactions. Both of the cryptosystems are strongly IND secure. The most important thing is, that the both of the public key cryptosystems can identify whether a message is fake or not. The introduced new public key cryptosystem is very collaborative with hash functions such as Whirlpool and SHA-512, because of the modulus 2𝑛.
The Inevitability, Main Difficulties and Countermeasures of High Quality Development of Higher Vocational Colleges in the New Era

Higher vocational education is the advanced stage of vocational education, which undertakes the mission of cultivating high-quality technical and skilled personnel. Since the 19th National Congress of the Communist Party of China, higher vocational education has ushered in a period of policy dividend development. The country has deepened its emphasis on higher vocational education, and its development prospects are broad. Higher vocational colleges are one of the main bodies closely related to social economy, and serving regional economic and social development is their basic goal. Adhering to high-quality development direction can continuously serve social and economic development. The high-quality development of higher vocational colleges in the new era must fully understand the inevitability of high-quality development in the new era, overcome the stubborn malaria, implement and deepen the integration of industry and education, build a community of shared destiny for the integration of industry and education in higher vocational colleges, increase education investment, improve the diversified investment mechanism, improve the internal quality standard system, achieve high-quality development strategies for higher vocational colleges, and comprehensively promote high-quality development of higher vocational colleges.
Regulation of Markets that Pose a Less Systemic Risk—The Crypto Asset Market Is an Example

It has been argued that ‘Some markets pose a such little systemic risk to the overall financial system that they should never be regulated.’ However, even markets that are small and pose less systemic risk should also be regulated scientifically and appropriately. The crypto-asset market is currently one of the markets that the Financial Conduct Authority regulates to a lesser extent, so this paper uses this as an example to analyse the various risks that the crypto-asset market may pose in terms of consumer protection, financial crime, and systemic risk, and then explores a series of regulatory measures that the Financial Conduct Authority is currently taking to address these risks, such as consumer protection guidance, anti-money laundering directives, regulatory The discussion then explores the range of regulatory measures currently being taken by the FCA to address these risks, such as consumer protection guidance, anti-money laundering directives, regulatory sandboxes, etc. Finally, the need for effective regulation of financial markets is analysed in terms of enhancing consumer confidence, promoting financial innovation, and protecting good financial competition. In this way, it is concluded that the financial regulatory system should have to adhere to prudential regulation and strict supervision to maintain market order and prevent excessive risk-taking.
Feature Fusion and Information Supervision Consistency for Object Detection

The inconsistency between classification and regression is a common problem in the field of object detection. Such inconsistency may lead to undetected objects, false detection, and regression boxes overlapping in the detection results. It has been determined that the inconsistency is mainly caused by feature coupling and the lack of information regarding the interactions between detection heads. In this study, the characteristics of spatial invariance were used, and the ability to fit the data distribution was enhanced by fully connected layers. A feature fusion module (FFM) was proposed in order to enhance the capabilities of the model’s feature extractions. This study also further considered the inconsistency between the loss functions and the proposed regression loss function (RMAE) based on mean absolute error (MAE) for the purpose of improving the location quality. Furthermore, in order to solve the problem of the lack of information regarding the interactions between detection heads, an inconsistency loss function (Lin) was added on the basis of the feature fusion module. Then, to evaluate the effectiveness of the proposed methods, the proposed feature fusion network (FMRNet) was trained based on RetinaNet. The experimental results demonstrated that this study’s proposed methods surpassed the accuracy of some existing detectors when FMRNet was adopted. It was confirmed that the proposed methods had the ability to solve the problems of undetected objects, false detection, and regression boxes overlapping.
Analysis of Offline and Online Learning Processes During the Covid-19 Pandemic

The purpose of this study is to assess the offline and online learning process at Namlea State Primary School 5 (SDN 5 Namlea) during the Covid-19 pandemic and to identify the teacher's approach for integrating offline and online learning during the Covid-19 pandemic at SDN 5 Namlea. This study employed a qualitative descriptive methodology with a phenomenological approach. Principals, instructors, students in Classes I, III, IV, and VI, and students in Classes III, IV, and V served as data sources for both primary and secondary data. This research employs nonparticipant observation employing field survey techniques (field study), interviews (interviews), documentary studies, and literature studies as its methodology. During the Covid-19 epidemic, the results of the study demonstrate that the offline and online learning processes at SDN 5 Namlea are very efficient and effective. The school incorporates offline learning through 1) shift (alternating teaching and learning), 2) television, 3) study groups, and 4) home visits. In the process of online education, teachers utilize two media platforms, namely WhatsApp and YouTube. During the Covid-19 pandemic, SDN 5 Namlea implemented offline and online learning strategies by 1) conducting learning activities (Blended Learning, Offline, Online); 2) using technological facilities such as gadgets, laptops, internet, and wifi; and 3) utilizing application media, namely WhatsApp and YouTube.
Effects of Pre-Retrieval Practice on Learning Outcome and Transfer in an Online Learning Environments

The purpose of this study was to investigate how learning activity conditions affect learning outcomes, transfer, and metacognitive judgments during the learning of four online learning contents of approximately four minutes per segment.To achieve these research objectives, an experiment was conducted with 120 university students, and data from 112 students (pre-retrieval group: 37, relearning group: 37, no-test group: 38) who faithfully participated in the experimental process were used for analysis.The students in the study followed the activities assigned to each group while learning segments 1-4 and made metacognitive judgments at the end of the study.A final exam was administered three days after the end of the study session.The results showed that (1) the pre-retrieval and relearning groups outperformed the no-test group on the immediate test, (2) metacognitive judgments predicting performance on the final test were statistically significantly higher in the relearning group, and (3) the pre-retrieval group outperformed the no-test group on both memory and transfer questions on the final test.These findings suggest that pre-retrieval with a high probability of failure before learning and then proceeding with the main learning can increase the degree of objectification of learning judgments and positively affect elaborated representations.This study has practical significance as it shows that preretrieval practice is an effective learning method in online learning activities.
Backpropagation and F-adjoint

This paper presents a concise mathematical framework for investigating both feed-forward and backward process, during the training to learn model weights, of an artificial neural network (ANN). Inspired from the idea of the two-step rule for backpropagation, we define a notion of F_adjoint which is aimed at a better description of the backpropagation algorithm. In particular, by introducing the notions of F-propagation and F-adjoint through a deep neural network architecture, the backpropagation associated to a cost/loss function is proven to be completely characterized by the F-adjoint of the corresponding F-propagation relatively to the partial derivative, with respect to the inputs, of the cost function.
National Research and Development (R&amp;D) Status of Digital Therapeutics for Dementia Patients in Korea

Backgroud: Dementia management is driving interest in digital therapeutics.Advanced countries have recently implemented research and development (R&D) to enhance the launch of the digital therapeutics market; however, the R&D status of digital therapeutics in Korea still needs to be discovered.This study aims to analyze the R&D status of digital therapeutics for patients with dementia and considered the direction of related national projects.Methods: This study analyzed the R&D projects for dementia-related digital therapeutics from 2010 to 2022.Results: Among the 34 projects corresponding to the study criteria, the Ministry of Science and Information & Communications Technology was the most active, with 28 projects and an investment of 23.7 billion KRW.The most used keywords were Cognition, "System," "Diagnosis," "Data," "Treatment," "Prevention," "Artificial Intelligence," "Evaluation," "Platform," "Brain," "Content," "Early," "Arbitration," "Virtual reality," and "Daily life".The national R&D projects focused on virtual reality and artificial intelligence.Seoul emerged as the most common location, with most participating researchers being male engineers holding a bachelor's degree. Conclusion:This study aims to analyze the current state of R&D in digital therapeutics for patients with dementia in Korea, with a specific focus on virtual reality and artificial intelligence.While digital therapeutics show potential as a viable solution for dementia management, challenges such as establishing clear indications for digital therapeutics and addressing the shortage of specialized personnel still remain.Therefore, additional research and workforce development are necessary.
Non-Commutative Logic for Collective Decision-Making with Perception Bias

In the paper we suggest an implementation of the non-commutative logic and apply its operators for decision-making in the group of autonomous agents. The suggested operators extend the uninorm and absorbing norm aggregators and use an additional asymmetry parameter that defines the “level of non-commutativity”. The value of this parameter is specified using the perception bias of humans measured in the experiments. The suggested operators and decision-making method are illustrated by simulated behavior of mobile robots in the group.
The Magnificent Realm of Affine Quantization: valid results for particles, fields, &#x0D; and gravity

Affine quantization &#x0D; is a relatively new procedure, and it can solve many new problems. This essay reviews this &#x0D; new, and novel, procedure for particle problems, as well as those of fields and gravity. New &#x0D; quantization tools, which are extremely close to, and even constructed from, the tools of &#x0D; canonical quantization, are able to fully solve selected problems that using the standard &#x0D; canonical quantization would fail. In particular, improvements can even be found with an &#x0D; affine quantization of fields, as well as gravity.
Binary function similarity detection based on text semantics

Binary code similarity is that different binary codes obtained from the same source code compiled by different compiler configurations are similar. Binary code similarity detection is often used to evaluate whether functions in two binary codes are similar. This technique has critical applications in intellectual property protection and IoT security, such as code plagiarism detection, malware detection, vulnerability detection, etc. In this paper, we propose a text semantics-based binary function similarity detection model SBFS, which firstly transforms binary functions into function texts by preprocessing assembly instructions; then learns function texts to obtain semantic embedding vectors using a natural language processing model. Finally, the similarity between two functions is measured by calculating the cosine distance between the embedding vectors of the two functions. Experimental results show that the SBFS model can achieve cross architecture detection and higher accuracy with 98.2% in the binary function similarity detection task.
SCHOOL LITERACY MOVEMENT AND IMPACT ON STUDENTS' READING INTEREST ELEMENTARY SCHOOL

This research was conducted to find out a new way of implementing the School Literacy Movement program that can increase elementary school students' interest in reading. This study uses a literature study that reviews 6 journals that are relevant to the research topic. This research with a quantitative approach was carried out by looking for references from relevant and similar journals to analyze the data taken from the Google schoolar website. Journals are collected for analysis and data comparison. From this research, finding a new way of the school literacy movement to increase reading interest is procuring reading books in schools that should be updated according to the times, educators who innovate, Increasing Educators' Competence, Adding book collections in libraries, Utilizing Reading Corners and To increase reading interest needs to be supported by all parties. From the results of the analysis it was concluded that the impact of the school literacy movement can increase reading interest and the results of this study can be recommended for the school literacy movement to increase students' interest in reading.
GAMIFIKASI BAHASA: MEDIA LITERASI UNTUK SISWA TINGKAT MADRASAH IBTIDAIYAH DI MASA PANDEMI

One of the ways to achieve literacy skills at Madrasah Ibtidaiyah is with the help of the media. Media literacy in learning is applied to improve the quality of students' listening, reading, writing, and speaking as well as media capable of gaining knowledge. One of the media literacy that can be applied in learning is language gamification activities. The objective of this study was to determine the extent of the benefits of language gamification for students at Madrasah Ibtidaiyah. The method of the research is qualitative, with research data collection techniques using participatory observation, interviews, and documentation. This research was conducted at MI Al Islam Balesari Magelang, with the research subjects were students in grades 3A and 3B with a total of 38 students. The data collected were analyzed and presented descriptively. The activities were carried out online considering the pandemic is still ongoing. The results of this study were, first, the process of using language gamification as a media for student literacy varies with the aim of enriching student vocabulary and, second, language gamification has a positive impact as a media for literacy for students at MI Al Islam Balesari. The activities were carried out effectively and the intended results were very good
PENGARUH KOMIK ONLINE BERBASIS MEDIA SOSIAL UNTUK SOSIALISASI ANTI NARKOBA TERHADAP KARAKTER SISWA SEKOLAH DASAR

Substance misuse is a problem that frequently arises among teenagers, particularly among pupils in primary school. In elementary school, the teaching focuses primarily on increasing students' knowledge and abilities, with very little attention paid to the students' moral and ethical development. Thus, the erosion of students' moral fiber will result in the country's failure to produce productive citizens in the following generation. The goal of this research was to investigate the influence that reading comics online has on the personalities of elementary students. In this work, experimental research, specifically quasi-experimental research, is used. Researchers use a method called random sampling to decide the sample they will use. Students in grade four of elementary schools served as the population for the sample. The control and experimental classes each had 22 students. This study used a Likert-scale questionnaire. This study endeavor analyzed data using descriptive analysis, normality, paired sample t-tests, and SPSS 16-assisted homogeneity tests. The Sig. (2tailed) value of the paired sample t-test is 0.000&lt;0.05, so Online Comic Learning Media does affect student character. The findings of this study imply that it is reasonable to expect teachers to be able to employ learning media that is both interesting and concrete, as well as to be accompanied by technology; one of the choices is making use of comics
PENGEMBANGAN BAHAN AJAR CHATBOT BERBASIS ARTIFICIAL INTELLIGENCE PADA MATERI SISTEM PERNAPASAN MAKHLUK HIDUP DI SEKOLAH DASAR

The purpoise oif this research is toi describe the proicess oif develoiping chatboit teaching materials based oin artificial intelligence oin living things' respiratoiry system material, toi describe the quality oif artificial intelligence based chatboit teaching materials oin living things' respiratoiry system material, and toi describe students' respoinses toi chatboit based teaching materials. artificial intelligence oin the material oif the respiratoiry system oif living things. This research is research and develoipment (R&amp;D) using the 4D develoipment moidel by Thiagarajan et al with its phases namely define, design, develoipment, and disseminate. The data were oibtained froim validating the eligibility questioinnaire foir teaching materials and student respoinse questioinnaires, validating chatboit teaching material proiducts, and student respoinses. The results shoiwed that the validatioin oif the instrument oibtained a CVI value oif 1 which placed it in the very feasible categoiry. Validatioin by material experts, soiftware experts, and linguists goit a CVI scoire oif 1 in the very high categoiry. As well as student respoinses 63.52% stroingly agree and 36.72% agree. Based oin the results oif the study it can be coincluded that chatboit teaching materials are valid and can be used by students