Reviewerly/exHarmony huggingface dataset:
Practical aspects of model predictive control in linear systems and cognitive maps

The subject of this paper is peculiarities of model predictive control (MPC) application in linear discrete-time system stablization. While stabilization in linear systems is already a well-studied problem in control theory, the MPC approach gives opportunity to produce faster stabilization trajectories at cost of higher amount of computations required. Significant progress in capabilities of computers since emergence of the control theory makes the MPC approach feasible in modern times. The MPC approach gives an opportunity to achieve significantly better results, but its application requires great care. It is due to many unobvious and undesirable effects it leads to if used incorrectly. These effects are discussed, explained and demonstrated one by one on examples in this paper. Analysis of their causes reveals requirements for MPC-based stabilizing control algorithm which allow resulting controller to operate reliably. It also appears that in most cases an optimal stabilization trajectory is not unique, i.e. it is possible to choose between optimal trajectories to improve some kind of secondary objective. In addition, as an example which is valuable by itself, stabilization in linear cognitive maps is discussed separately. Being an example of discrete-time linear system, linear cognitive maps are susceptible of application of the same control strategies and algorithms to their impulses. But if nature of linear cognitive map is disregarded, their state starts to wander under pressure of external random perturbation (i.e. noise) even though stabilizing controller mitigates their influence on cognitive map’s impulses. Ability of the MPC approach to consider secondary objectives allowed to mitigate this effect at least partially. In particular, it is achieved here by seeking a particular objective cognitive map state as a secondary objective in search for a stabilization trajectory. It is also demonstrated here, that only a certain hyperplane in cognitive map’s state-space is reachable under assumption, that its impulse is zero at the end of trajectory.
PENGARUH PENGGUNAAN METODE CERAMAH TERHADAP TINGKAT PEMAHAMAN PESERTA DIDIK DALAM PELAJARAN AGAMA KATOLIK DI KELAS VIII SMP NEGERI 2 KUPANG

The purposes of this research are: 1) to find out how the description of the use of the lecture method in Catholic religion lessons and how the level of understanding of class VIII students at SMP Negeri 2 Kupang; 2) to find out whether there is an effect of using the lecture method on the level of understanding of class VIII students at SMP Negeri 2 Kupang. Data collection techniques in this study used questionnaires (questionnaires) and documentation, while data analysis techniques used descriptive statistical analysis and inferential statistical analysis. The results of this study indicate that the description of the use of the lecture method is in the good category (56.39%), also the level of understanding of students is in the good category (73.37%). In addition, there is an effect of the use of the lecture method in Catholic religion lessons on the level of understanding of students in class VIII SMP Negeri 2 Kupang, where the t value is 4.679, and the sig value is smaller than the alpha value (0.05).
Development and Effectiveness Verification of Service Learning Program for Social Welfare Use of IoT Technology

Objectives This study aims to explore the meaning of service learning teaching method to specialized high school students by applying a service learning program with the subject of a related major to specialized high school stu-dents and analyzing the effect.&#x0D; Methods In this study, the PPCD (Pre Post Control Design) model was used to determine the effect of each of the experimental group and control group by performing a pre-test and comparing the results with the post-test results of the research program treatment. Therefore, an experimental group of 12 students belonging to an IoT-related autonomous club and a control group of 11 general students taking IoT-related classes were selected. The program developed and applied a service learning program using the Design Thinking methodology, which is being actively discussed in engineering education, and the program lasted about a month from September 15, 2021 to October 14, 2021.&#x0D; Results Analysis of covariance (ANCOVA) was used to minimize the effect of students' existing creative person-ality level and class satisfaction on the program outcome. After adjusting the creative personality level to 3.178 and the pre-class satisfaction to 4.0, the posterior values were derived. As a result, the creative personality level was 3.874 in the experimental group and 3.192 in the control group, and the class satisfaction was 4.33 in the ex-perimental group and 3.913 in the control group. 이Based on the results of this study, the level of creativity and class satisfaction of the experimental group to which the smart home service learning program was applied in-creased significantly. and it can be evaluated that the smart home service learning program had a positive effect on the creative personality and class satisfaction of vocational high school students.&#x0D; Conclusions The conclusions of this study are as follows. First, the smart home service learning program in this study was effective because it provided an opportunity to directly apply smart home technology rather than theory and simple practice, and continued to provide the reward of being able to help someone. Second, for effective service learning, it is necessary to first secure a pool of active institutions, and at this time, it is necessary to pro-vide detailed manuals for effective learning and service based on the principle of reciprocity. Third, the effect may vary depending on the student's interest, so it is necessary to plan and operate the program from a long-term per-spective rather than a one-off.
THE TEACHING STYLES HAVE BY THE ENGLISH TEACHERS IN SMP NEGERI 27 BUTON TENGAH

The objectives of this study was to find out the teaching style of teachers at SMP Negeri 27 Buton Tengah. The type of this research used qualitative research. Then to the design used by case studies research. It use several methods, such as interviews and observations to collect the data. The location of the research was at SMP Negeri 27 Buton Tengah. This research was precisely location in Madongka Village, Lakudo, Buton Tengah. The subject of this research was an English teacher at second grade of SMP Negeri 27 Buton Tengah.The instrument in this research process was the researcher herself who acts as the research instrument. To analyze the data from observation and interviews, researchers used Data collection, Data reduction, and data display.&#x0D; The result of the finding indicated that the types of teaching style used by English teacher at SMPN 27 Baton Tengah namely Expert style, formal authority style, Personal model or demonstrator and facilitator style. The dominant teaching style used by the teacher was formal auditory style, personal model or demonstrator. The teacher usually design group activities that require active learning, student to student’s collaboration, and problem solving.
UTAUT2 MODEL EVALUATION OF ACCEPTANCE WEB-BASED MULTIMODALITY LEARNING MEDIA

In carrying out learning, teachers need a learning media. Along with advances in technology, teachers are required to be able to use technology-based learning media in learning. The purpose of this study is to determine the factors that influence the acceptability of web-based multimodality learning models in elementary school teachers using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. The method used in this study is a quantitative method with a survey method using a questionnaire. Data processing was carried out using the PLS-SEM analysis technique. The research data was obtained from distributing questionnaires to 100 elementary school teachers. The results of this study indicate that the factors that influence teacher acceptance of web-based multimodality learning media are behavior intention, use behavior, performance expectancy, effort expectancy. ), social influence, facilitating conditions, hedonic motivation, price values, and habits. Based on the value of R Square, this web-based multimodality learning model is good for use in teaching in elementary schools.
Decision Support System for Determining the Best Pesticide for Rice Plants Using the Moora Method

completed quickly and performed effectively and efficiently, especially in the agricultural sector. Pesticides are chemical or organic substances that farmers use to protect rice plants from pests , so farmers often have difficulty choosing pesticides that will be used to prevent rice pests. In fact, the large number of pesticide products on the market and their very different advantages make farmers confused in determining pesticide choices. The Harapan Jaya farmer group always provides counseling and training regarding the management of agricultural products, therefore the farmer group continues to maintain rice production to avoid pests and there is no shortage of rice plants at this time by using pesticide products on the market. Decision Support Systems (DSS) are systems that are able to provide problem solving abilities and communication abilities for problems with structured and unstructured conditions. The method in the decision support system is Multi Objective Optimization on the basis of Ratio Analysis (MOORA). The results obtained from this calculation method are Rodenticide with a value of 0.288 which is ranked first and the fifth rank is Insecticide with a value of 0.047. By implementing a decision support system using the MOORA method, it is hoped that it will help select interconnected outputs, because the decision results are based on criteria data in determining the best pesticide for rice plants
Improving Performance of Searchable Symmetric Encryption Through New Information Retrieval Scheme

Searchable symmetric encryption (SSE) is a robust cryptographic method that allows users to store and retrieve encrypted data on a remote server, such as a cloud server, while maintaining the privacy of the user's data. The technique employs symmetric encryption, which utilizes a single secret key for both data encryption and decryption. However, extensive research in this field has revealed that SSE encounters performance issues when dealing with large databases. Upon further investigation, it has become apparent that the issue is due to poor locality, necessitating that the cloud server access multiple memory locations for a single query. Additionally, prior endeavors in this domain centered on locality optimization have often led to expanded storage requirements (the stored encrypted index should not be substantially larger than the original index) or diminished data retrieval efficiency (only required data should be retrieved). We present a simple, secure, searchable, and cost-effective scheme, which addresses the aforementioned problems while achieving a significant improvement in information retrieval performance through site optimization by changing the encrypted inverted index storage mechanism. The proposed scheme has the optimal locality O(1) and the best read efficiency O(1) with no significant negative impact on the storage space, which often increases due to the improvement of the locality. Using real-world data, we demonstrate that our scheme is secure, practical, and highly accurate. Furthermore, our proposed work can resist well-known attacks such as keyword guessing attacks and frequency analysis attacks.
The Implication of Generative Artificial Intelligence towards Intellectual Property Rights (Examining the Multifaceted Implications of Generative Artificial Intelligence on Intellectual Property Rights)

Generative Artificial Intelligence (Generative AI) is transforming content creation, enabling faster and cheaper production of text, images, and more. However, it raises complex issues regarding intellectual property rights and ownership. This article explores the evolving landscape of AI-generated content, focusing on its alignment with existing intellectual property regulations. It delves into legal disputes exemplified by cases like Getty Images, INC. v. Stability AI, INC, and Doe v. Github, INC, which highlight the challenges of AI-generated content regarding intellectual property. The article also discusses the impact on the creative sector and offers recommendations, including the need for ethical guidelines, education, hybrid collaboration, public involvement, and international cooperation. Addressing these challenges is crucial to harmonize intellectual property rights and maximize the benefits of AI in content creation.
Novel low-pass two-dimensional Mittag-Leffler filter and its application in image processing

&lt;p&gt;This paper presents an innovative Mittag-Leffler two-dimensional filter and its application in the image processing. The proposed filter leverages the utilization of a Mittag-Leffler function within the probability density function. It introduces three adjustable parameters that enable the manipulation of the curve shape and the filter's forgetting factor. Moreover, a two-dimensional Mittag-Leffler distribution was defined and used for the first time in an image filter. By conducting a comparative analysis against conventional filtering techniques, the paper showcases the distinct advantages of the proposed filter through illustrative examples. Additionally, the paper provides detailed implementation explanations and presents the Matlab function corresponding to the proposed two-dimensional filter.&lt;/p&gt;
A Study on the Composition of Presentation of Foreigner Students: Focusing on beginners' level

Objectives The purpose of this study is to reveal the structure of the presentation of Level 1 Korean learners among foreigner students and the aspects of the connection adverbs used in the presentation. Through this, it is possible to analyze the structure of the presentation and the use of connection adverbs to analyze the difference between Western and Eastern learners among Level 1 Korean learners and use them in educational measures.&#x0D; Methods The purposes of this study a presentation was written for Level 1 learners taking a regular Korean course at the K University Language Education Center in Seoul. Basic questions were provided together to prepare learn-ers for the presentation, and the amount of the presentation was analyzed together by filling it out on the squared manuscript paper. In addition, the contents of the presentation were analyzed, focusing on the contents of the ba-sic questions. The presentation was analyzed to understand the structure of the presentation, and the use of con-nection adverbs used in the presentation was examined.&#x0D; Results As a result, The presentation of Western learners consisted of introduction, main body, and conclusion, but in many cases, the introduction and conclusion were omitted from the presentation of Eastern learners. In ad-dition, it can be seen that there is a difference in the amount of the presentation by Western learners and the pre-sentation by Eastern learners. Looking at the connection adverbs used in the presentation, seven learners used connection adverbs in all Western learners' presentations, but have never used them in Eastern learners' presentations.&#x0D; Conclusions Through this, In the Level 1 learner's presentation writing education, it can be seen that education on the introduction, main body, finishing structure, and essential content of the presentation is necessary. In addi-tion, there are connection adverbs that are frequently used and used a small number of times in the use of con-nection adverbs, so it can be seen that it is necessary to practice connecting contents using various connection adverbs.
Alena Tensor as an Example of the Dualistic Approach and Its Possible Applications in Quantum Field Theory and Unification Theories

The Alena Tensor is a recently discovered class of stress-energy tensors that, as previous publications have shown, has extremely useful properties. In curved spacetime, this tensor reproduces Einstein Field Equations and in flat Minkowski spacetime, it describes a physical system with fields that can be widely configured. The use of the discussed tensor significantly simplifies Quantum Field Theory equations and provides canonical, generalized four-momentum with vanishing four-divergence that satisfies Klein-Gordon equation. This article discusses the possible applications of Alena Tensor in Quantum Field Theory and unification theories against the background of existing research directions. The advantages, disadvantages and potential limitations of the approach discussed are also considered.
A study on exploring barrier factors to implementation of the 2019 National Nuri-Curriculum as perceived by early childhood teachers

Objectives The purpose of this study was to understand the concepts and structures that early childhood teach-ers, who are directly implementing the 2019 national Nuri-curriculum, perceive as barriers to the implementation of the curriculum.&#x0D; Methods For this purpose, data were collected and analyzed from 20 early childhood teachers according to Kane and Trochim(2007) 's six steps of concept mapping study: preparing for concept mapping, generation the ideas, structuring the statement, concept mapping analysis, interpreting, and utilization.&#x0D; Results A total of 40 statements were derived as factors that hinder the implementation of the curriculum, and five clusters of ‘teacher perception’, ‘parental relationship’, ‘teaching culture’, ‘institutional resources’, and ‘teacher support’ were derived from the two dimensions of ‘material/financial factors and human factors’ and ‘policy/institutional factors and cultural factors’. In terms of importance by cluster, “teacher support” was the highest, and in terms of importance by statement, “high child-teacher ratio to implement a play-centered curricu-lum” was the highest.&#x0D; Conclusions By interpreting the obstacles and meanings of the implementation of the curriculum through teach-ers' perspectives, meaningful implications for the direction of curriculum implementation support were discussed.
Use of Everyone is a Teacher Here to Increase Speaking Ability of Eleventh Grade Students at SMK Negeri 1 Pasarwajo

Problem statement in this research was whether the use of everyone is a teacher here increase students speaking ability on eleventh grade students at SMK Negeri 1 Pasarwajo. Objective in this research was to found out the significant increasing of students speaking ability by using everyone is a teacher here compared using conventional method in class XI students.This research used quasy experimental research with quantitative approach. Population in this research were all eleventh grade students of SMK Negeri Satu Pasarwajo with total population were 64 students. This research used random sampling technique. Data collection in this research was carried out using research instrumen of test. The test was collect administering pre-test, treatment, and post-test. Pre-test and post-test was given to know the students speaking ability before get treatment and after get treatmen. The data obtained in this research were analyzed by descriptive statistic and inferential statistic. Based on the finding of the research, the research obtained the mean value of pretest in Experimental class was 46.66 and the mean value of posttest in Experimental class was 63.57, the mean value of pretest in Control class was 45.57 and the mean value of posttest in Control class was 45.85. The significant value was 0.000, t-count was greater than t-table (8.336&gt;2.021). Based on the result, the researchers conclude that there is an improvement in students’ speaking ability using the method of of everyone is a teacher here.
Challenges and Recommendations in Building the Teaching Force for Rural Compulsory Education in China

High-quality teaching staff is one of the key factors in the advancement of Chinese compulsory education. The purpose of this article is to pinpoint issues with teacher recruitment, retention, and training in rural areas, such as unbalanced employment mobility, unreasonable composition of staff, and impeded teacher professional development. Recommendations on improving rural school staffing are also made in the dimensions of government policies, in-service training, and social support.
A Spectral Condition for Feature Learning

The push to train ever larger neural networks has motivated the study of initialization and training at large network width. A key challenge is to scale training so that a network's internal representations evolve nontrivially at all widths, a process known as feature learning. Here, we show that feature learning is achieved by scaling the spectral norm of weight matrices and their updates like $\sqrt{\texttt{fan-out}/\texttt{fan-in}}$, in contrast to widely used but heuristic scalings based on Frobenius norm and entry size. Our spectral scaling analysis also leads to an elementary derivation of \emph{maximal update parametrization}. All in all, we aim to provide the reader with a solid conceptual understanding of feature learning in neural networks.
A Path Planning Method for Logistics Oriented Drone Flight Routes

&lt;p&gt;This article mainly studies the path planning of unmanned aerial vehicle logistics delivery, considering the constraints in the process of unmanned aerial vehicle delivery, and establishes a unmanned aerial vehicle flight environment model based on logistics management. Based on the performance constraints and task requirements of logistics drones, a multi constraint logistics drone path planning model is established from the perspectives of transportation safety, economy, and speed. The established constraints include flight altitude, maximum angle constraints, energy consumption constraints, etc. Then, a hybrid algorithm is used to plan the drone path, and dynamic window algorithm is used for local path planning, Finally, the hybrid algorithm was fused through a smoothing strategy, and simulation experiments confirmed that the drone’s flight range, energy consumption, and planning time were significantly improved during the delivery process.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;