Reviewerly/exHarmony huggingface dataset:
Objectivity of scientific reflection

The article focuses on scientific reflection. The transcendental reflection does not analyse the content of knowledge, but reveals its conditions and is a condition of scientific research. This is not only thinking about thinking, but also the operations of identifying and distinguishing sensory data, and the rules for structuring the universe. The selection of input data depends on objective cognitive operations. Reflection reveals possible ways of transforming nature. Different forms of reflection achieve different goals. Reflection as a metatheory builds a fundament for future science. The analysis of cognitive procedures reveals the privileged status of classical theory and possible ways of creating non-classical theories. The classical theory is the original theory from which the non-classical ones are derived. Correspondently, scientific knowledge is divided into initial and derived forms. Derived forms are established by second-order reflection. Thus, the objective structure of science is conditioned by the structure of the reflexive activity of the mind.
Localization of Strangeness for Real Time Video in Crowd Activity Using Optical Flow and Entropy

Anomaly detection, which is also referred to as novelty detection or outlier detection, is process of identifying unusual occurrences, observations, or events which considerably differ from the bulk of data and do not fit a predetermined definition of typical behavior. Medicine, cybersecurity, statistics, machine vision, law enforcement, neurology, and financial fraud are just a handful of the industries where anomaly detection is used. In the presented study, an online tool is utilized to identify crowd distortions, which could be brought on by panic. An activity map is produced with the use of numerous frames to show the continuity regarding the flow over time following the global optical flow has been calculated in the quickest time and with the highest precision possible utilizing the Farneback approach to calculate the magnitudes. Utilizing a specific threshold, the oddity in the video will be picked up by the activity map's generation of an entropy. The results indicate that the maximum entropy level for indoor video is &lt;0.16 and the maximum entropy level for outdoor video is &gt;0.45. A threshold of 0.04 is used to determine whether a frame is abnormal or normal.
Novel Approach to Hide Sensitive Association Rules by Introducing Transaction Affinity

In this paper, a novel approach has been proposed for hiding sensitive association rules based on the affinity between the frequent items of the transaction. The affinity between the items is defined as Jaccard similarity. This work proposes five algorithms to ensure the minimum side-effects resulting after applying sanitization algorithms to hide sensitive knowledge. Transaction affinity has been introduced which is calculated by adding the affinity of frequent items present in the transaction with the victim-item (item to be modified). Transactions are selected either by increasing or decreasing value of affinity for data distortion to hide association rules. The first two algorithms, MaxaffinityDSR and MinaffinityDSR, hide the sensitive information by selecting the victim item as the right-hand side of the sensitive association rule. The next two algorithms, MaxaffinityDSL and MinaffinityDSL, select the victim item from the left-hand side of the rule whereas the Hybrid approach picks the victim item from either the left-hand side or right-hand side. The performance of proposed algorithms has been evaluated by comparison with state-of-art methods (Algo 1.a and Algo 1.b), MinFIA, MaxFIA and Naive algorithms. The experiments were performed using the dataset generated from IBM synthetic data generator, and implementation has been performed in R language.
Female EFL Preservice Teachers Speech Acts Used in Classroom Interaction

Background: &#x0D; Using speech acts in the learning process by teachers and preservice teachers is inevitable. However, there are still many preservice EFL teachers who need help to use these speech acts effectively. This study aims to determine the use of directive speech acts and the reasoning by three Female EFL Preservice Teachers (FEPT).&#x0D; Methodology: &#x0D; This research was conducted on three female students participating in the Practical Field Experience II program at three Samarinda Vocational High Schools. To collect data, the researcher observed three FEPT people carrying out the teaching and learning process by recording videos. Then, to get reasons for using the speech acts, the researcher conducted interviews with them.&#x0D; Findings: &#x0D; This study found six types of speech acts: asking, requesting, advising, begging, commanding, and forbidding. The most used speech is asking. Then, the reason for using these speech acts is to make students more active and able to follow the lesson well in class.&#x0D; Conclusion: &#x0D; This study concluded the importance of mastering pragmatic competence by FEPT before teaching and learning. By mastering these competencies, FEPT could effectively carry out the teaching and learning process.&#x0D; Originality: &#x0D; This finding complements a large amount of previous literature on the use of directive speech acts by teachers and EFL preservice teachers. By examining the use of directive speech acts by female EFL preservice teachers, the researcher hopes to complement the lack of research on this topic.
Perbandingan Persepsi Mahasiswa Pendidikan Matematika Terhadap Pembelajaran Daring, Luring dan Blended Learning Pasca Pandemi Covid-19

This study aims to compare student perceptions of online, offline, and blended learning involving 28 students from the 2018 batch of Mathematics Education Study Program, Faculty of Teacher Training and Education, Sembilanbelas November Kolaka University as research subjects. The data were collected by non-test using a questionnaire instrument of student perceptions including online, offline, and blended learning as many as 23 statement items followed by interviews related to student perceptions. The results of this study indicate that the mean student perception of learning is positive with the following details: (1) the mean percentage of student perceptions of online learning is 77.92%; (2) the mean percentage of students' perceptions of offline learning (face-to-face) is 82.86%; and (3) the mean percentage of students' perceptions of blended learning is 73.98%.
Probabilistic Scheduling Based On Hybrid Bayesian Network–Program Evaluation Review Technique,

Project scheduling based on probabilistic methods commonly uses the Program Evaluation Review Technique (PERT). However, practitioners do not widely utilize PERT-based scheduling due to the difficulty in obtaining historical data for similar projects. PERT has several drawbacks, such as the inability to update activity dura- tions in real time. In reality, changes in project conditions related to resources have a highly dynamic nature. The availability of materials, fluctuating labor productiv- ity, and equipment significantly determine the project completion time. This research aims to propose a probabilistic scheduling model based on the Hybrid Bayesian Network-PERT. This model combines PERT with Bayesian Network (BN). BN is used to accommodate real-time changes in resource conditions. The modeling of BN diagrams and variables is obtained through an in-depth literature review, direct field observations, and distributing questionnaires to experts in project scheduling. The model is validated by applying the proposed model to a 60 m concrete bridge construction project in Indonesia. The simulation results of the proposed model are then compared with the case study project to assess the model’s accuracy. The result of the study shows that the proposed hybrid Bayesian-PERT model is accurate and can eliminate the weaknesses of the PERT method. Besides being able to provide an accurate prediction of project completion time (93.4%), this model can also be updated in real-time according to the actual condition of the project
UPAYA PENINGKATAN KREATIVITAS MATEMATIKA SISWA MELALUI MODEL PEMBELAJARAN BERBASIS CONCEPT MIND MAPPING DI SMPN 6 KOTANOPAN SATU ATAP

This research was conducted to determine the increase in students' creativity in learning mathematics through a learning model based on Concept Mind Mapping. This type of research is a classroom action research (PTK). The subjects in this study were students of class VII SMPN 6 Kotanopan Satu Atap. The results of the study after using Mind Mapping learning, namely the results of the first cycle test with a percentage of 41% while the second cycle the percentage of 82,35% increased by 41,35%. The results of the observation of student activity in the first cycle percentage 52,2% while the percentage of the second cycle 67,9% increased by 15,7%. And while the results of the observation of teacher activity in the first cycle the percentage was 55,45%, while the percentage of the second cycle was 81,8%, an increase of 26,35%. And it can be concluded that using a learning model based on Concept Mind Mapping can increase students' creativity in learning mathematics.
MICROMINE CALCULATIONS OF ORE RESERVES IN THE BOROV DOL PORPHYRY COPPER DEPOSIT, REPUBLIC OF NORTH MACEDONIA

The calculations of ore reserves in the Borov Dol deposit were mainly carried out with the support of the AutoCAD software package, and those results received official confirmation in the Republic of North Macedonia. The latest calculation using MICROMINE provides a wider range of use of source data from detailed geological surveys and rapid correlation between metals and associated elements in the deposit. The MICROMINE procedure for the calculation of ore reserves in the Borov Dol deposit consists of several stages starting from: creation of new project and related data base (Excel and Micromine), Micromine database validation process, building and creating wireframe, creation of the particular block model as well as calculation of ore reserves by MICROMINE software package. The obtained results are highly correlative and compatible with the same obtained through the method of vertical parallel profiles calculated using the AutoCAD software package (difference 1.21%).
PENGEMBANGAN MEDIA BELAJAR BERBASIS GAME ANGRY BIRD MATEMATIKA

This study aims to develop learning media for mathematics, especially in developing the ability of grade 1 elementary school students to perform arithmetic operations on integers using the game media Angry Bird Mathematics. The research method used in this study is the ADDIE model. The research instruments used included student observation sheets, questionnaires, and tests. The study results showed that the Angry Bird Mathematics learning media met the valid criteria as indicated by the results of expert validation, which were included in very good criteria. The practical criteria show that the Angry Bird Mathematics learning media is practically used in the learning process. Then for the indicator of the effectiveness of the learning media, it shows that the Angry Bird Mathematics learning media is effective because it can improve student learning outcomes before and after using the media.
Reflection as activity: definition, schematization, reflexive cycle, and reflexive practices

The article discusses the definition of reflection as an activity and examines the main factors that determine the kinds of reflection. According to the author of the article, reflection as an activity can be defined by the following formula: the direction of attention to EXPERIENCE for the “detection” of its FORMS and their fixation by means of certain SEMIOTIC TOOLS carried out for the sake of achieving some PURPOSE. In this formulation, the terms “experience”, “form”, “semiotic tools”, “purpose” are understood as parameters, the specification of which sets the description of certain kinds of reflection. In addition, the structure of “detection” participates in the formation of reflection, which consists of the languages of description, conceptual and terminological apparatus, knowledge and other conceptual means of the reflecting subject. Variants for specifying the parameters of the definition are considered in the article on the material of various philosophical techniques (mainly domestic tradition) and a number of general cultural reflexive practices. The author correlates his understanding of reflection with a number of ideas of the Moscow Methodological Circle (MMC), in which reflection techniques were given great importance. In particular, the author schematizes his understanding as a special case of an “act of activity”, the idea of which is the development within the MMC of some of K. Marx’s ideas. In connection with the clarification of the temporal structure of reflection (which is not grasped by schematization of reflection as an act of activity), the author introduces the idea of an elementary cycle of reflection and fixes it in the form of a scheme. In conclusion, the author examines the question of the correlation of reflection and thinking and considers the possibilities of correlating his definition of reflection with the typology of reflection set by the scheme of the thinking-communication-activity-system (proposed in MMC in 1983).
Meningkatkan Motivasi Belajar Siswa pada Mata Pelajaran IPS dengan Menggunakan Model Pembelajaran PjBL (Project Based Learning) pada Siswa Kelas V SDN 187/I Teratai

IPS should be a lesson that is liked by students at school. The aim of this study was to increase student motivation in social studies subjects using the Project Based Learning learning model in class V SD 187/I Teratai. This type of research is classroom action research with 10 students, consisting of 5 male students and 5 female students. This research was conducted in semester I of the 2022/2023 Academic Year. The schedule for conducting research in August-September 2022. Data collection techniques include observation, interviews, tests and discussions. This research model has four components, namely planning, action, observation, and reflection. The research was conducted in 2 cycles, each cycle held 2 meetings. The results of this study indicate that using the Project Based Learning learning model can increase student learning motivation in social studies learning. This means that the Project Based Learning learning model can be used by teachers as a good model to be applied in the learning process so that it can achieve the desired goals. and can create a fun learning atmosphere for students.
AAAI 2023 Spring Symposium on HRI in Academia and Industry: Bridging the Gap

Abstract On March 27–29, 2023, the AAAI symposium on “HRI in Academia and Industry: Bridging the Gap” was held in a hybrid format, with both in‐person and remote participants, gathering Human‐Robot Interaction (HRI) researchers and practitioners from academia, industry, and national research laboratories to find common ground, understand the different constraints at play, and determine how to work together. The use of robots that operate in spaces in which humans are physically co‐present is growing at a dramatic rate. We are seeing more and more robots in our warehouses, on our streets, and even in our homes. All of these robots will interact with humans in some way, whether intentionally or unintentionally. To be successful, their interactions with humans will have to be carefully designed. For more than a decade, the field of HRI has been growing at the intersection of robotics, Artificial Intelligence (AI) , human‐computer interaction (HCI), psychology, and other fields; however, until quite recently, it has been a largely academic area, with university researchers proposing, implementing, and reporting on experiments at a limited scale. With the current increase of commercially‐available robots, HRI is starting to make its way into the robotics industry in a meaningful way. This symposium brought together HRI researchers and practitioners from academia, industry, and national research laboratories to find common ground, understand the different constraints at play, and determine how to effectively work together.
Meningkatkan Keterampilan Membaca dengan Menggunakan Media Kartu Kata pada Pembelajaran Bahasa Indonesia di Kelas I SDN 56/I Desa Aro

Reading is a very important language skill. The purpose of this research is to improve Reading Skills by Using Word Card Media in Indonesian Language Learning in Class I SDN 56/I Desa Aro. The subjects of this study were class I students at SDN 56/I in Aro Village with a total of 25 students, 16 boys and 9 girls. This research was conducted in the even semester of the 2022/2023 school year. This research is Classroom Action Research which consists of 4 stages namely; planning, action, observation and reflection. The data collection technique was an initial reading skills test, teacher and student observations conducted by colleagues as collaborators and documentation as a means of support and can be used as archives as evidence of research implementation. The results of the study show that using smart card media can improve reading skills by using word card media. This is evidenced by the success of the learning process marked by an increase in classical student mastery in each cycle, namely the percentage of students who complete the first cycle is 68% and increases in the second cycle by 80%.
Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments

Learning how to navigate in unfamiliar environments is a critical skill for AI-powered mobile robots.Traditional methods for robot navigation typically involve three key steps: positioning, mapping, and route planning.However, in unknown environments, these methods can become outdated because route planning requires an obstacle map.Moreover, classical approaches may become trapped at a local maximum as the environment becomes more complex, which can negatively impact the system's success.Therefore, it is crucial to address collision avoidance in autonomous navigation, both in static and dynamic environments, to ensure that the robot reaches the target safely without any collisions.In recent years, heuristic approaches have gained importance due to their proximity to human behavioral learning.In this paper, we will examine the advantages and disadvantages of using Deep Deterministic Policy Gradient Reinforcement learning methods to guide the robot from the starting position to the target position without colliding with static and dynamic obstacles.By using a reinforcement learning method, the robot can learn from its experiences, make informed decisions, and adapt to changes in the environment.We will explore the efficacy of this method and compare it to traditional approaches to determine its potential for real-world applications.Ultimately, this paper aims to develop a robust and efficient navigation system for mobile robots, which can successfully navigate in unknown and dynamic environments.For this purpose, the system was tested for 100 episodes and the results showed a success rate of over 80%.
Utilizing Blockchain Technology for Oil and Gas Industry

During the last two decades, all fields, including the oil sector, depended mainly on technological progress to keep pace with the developments in this field. This technological progress was accompanied by an increase in hacking attempts. Cyber-attacks are defined as the hacking of a computer by a person or group of people over the Internet, causing a lot of damage, especially to devices and equipment that depend on the Internet; This leads to substantial financial losses. Therefore, it is very important to understand these attacks and try to overcome them. In the oil sector, cyber-attacks can be scanned in three areas (upstream, midstream, and downstream). This paper discusses how to secure cyber security for the oil sector by making plans for Internal and external cybersecurity by creating and securing separate loops by using blockchain technology and creating a smart contract for each loop to protect it information. As well as using the simulation and control system to increase the effectiveness of cyber security, and after this survey process. This paper aims to classify the cyber-attacks that affect the oil and gas sectors. Create a strong system against any type of cyber-attack, and thus provide higher protection for oil and gas companies and equipment through the work of special programs to protect systems and equipment from hacking.
Data Management System Design Website-Based Waste Bank (Case study: DLHK Karawang Regency)

The Karawang district environmental and sanitation service development in the environmental sector is now at the heart of all government decisions and policies at the central and regional levels. Garbage is divided into 2 types of waste, namely organic and inorganic waste. Organic waste is waste that generally decomposes and easily decomposes naturally. Inorganic waste is general waste that is difficult to decompose, in particular: metal, iron, glass, plastic. A waste bank is a bank for saving in the form of waste that has been grouped according to its type. The waste bank data management system as a data management medium is designed using the waterfall method to solve constraints on management and transaction data.
The Impact of Economic Diversification on Economic Growth: Econometric Study Using Panel Data Model on the Arab Countries from 1999 to 2002

This research aims to examine the relationship between economic diversification and economic growth by applying the panel data model to six oil and non-oil Arab countries: Algeria, Saudi Arabia, United Arab Emirates, Tunisia and Morocco, Egypt during the period (1999-2020). The results of the study confirmed that the fixed effects model was the appropriate model to test this impact. Its results showed a positive impact between the economic diversification and growth variables and that the relative impact of the services sector was greater than that of industry and agriculture, while the joint integration results showed a lack of long-run relationship betweenthe variables in the model
The Impact of Knowledge Management on the Creative Abilities of Employees: A Field Study at the African Company of Glass – Jijel [In Arabic]

This study aimed to identify the impact of knowledge management on the creative abilities of employees of the African Company of Glass - Jijel, where the study included dimensions of the Knowledge Management, which are: Knowledge diagnosis, knowledge generation, knowledge storage, knowledge sharing, knowledge application, in addition dimensions associated with the creative abilities of employees, by relying on the descriptive analytical method as a methodology of the study, And the questionnaire as an essential tool in collecting study data from a sample of 65 workers. They were chosen at random, the study concluded that the level of knowledge management processes in the African Company Glass - Jijel was weak in all its dimensions, and there is a positive impact of knowledge management processes on the creative abilities of employees in the Company. In light of the findings, the study recommended the need to pay attention to improving knowledge management processes and enhancing the creative capabilities of employees and working to develop them at the African Company of Glass - Jijel.
The Influence of Transformational Leadership on Human Resource’s Flexibility in the Context of Development: A case study of the cement plant SCAEK Aïn El Kebira SETIF 

This research aimed to examine the influence of Transformational Leadership on Human Resource’s Flexibility. The hypotheses proposed here are tested on a sample of 400 individuals, questionnaires were distributed among workers in SCAEK Aïn El Kebira cement plant (SÉTIF), administrates to technicians. However, only 261 responded back and 228 responses were valid using structural equation modelling as a statistical technique of the multiple linear regression. Our findings showed that Transformational Leadership has only a partial positive effect on Human Resources Flexibility.&#x0D;