Reviewerly/exHarmony huggingface dataset:
Teachers’ Readiness for e-Learning During the COVID-19 Pandemic: A Case Study of High School Geography Teachers

This study aims to analyze the readiness of Geography teachers in e-learning during the Covid-19 pandemic in high schools throughout Tanah Bumbu Regency.This study uses a quantitative descriptive method through a survey with data analysis techniques using the Aydin and Tasci model by calculating the average score of each question and the total average of all questions.Readiness to implement elearning based on Aydin and Tasci's model is measured from four readiness factors, namely human factors, self-development factors, technology factors, and technology factors.Data collection through surveys through Google Forms.The sample of this research is all management and members of the Geography MGMP.The results of the study show that the level of readiness of Geography teachers in implementing e-learning during the COVID-19 pandemic is in a ready category but still needs to be improved.Factors that can be improved include knowledge about e-learning, experience using e-learning, and the availability of facilities and infrastructure to support e-learning .
Periodic Cavity State Revivals from Atomic Frequency Combs

Spin ensembles with a comb-shaped spectrum have shown exciting properties as efficient quantum memories. Here, we present a rigorous theoretical study of such atomic frequency combs in the strong coupling limit of cavity QED, based on a full quantum treatment using tensor-network methods. Our results demonstrate that arbitrary multiphoton states in the cavity are almost perfectly absorbed by the spin ensemble and reemitted as parity-flipped states at periodic time intervals. Fidelity values near unity are achieved in these revived states by compensating for energy shifts induced by the strong spin-cavity coupling through adjustments of individual coupling values of the teeth in the atomic frequency comb.
EP.WE.551Killings Fields of the 21st Century- a price of social messaging gone wrong

Abstract Aim To assess the impact of public health messaging on the COVID-19 deaths Methods Review of all government, Public Health England, NHS England messages during the pandemic to see how they influenced public activity and thereby influenced hospital admissions and death. Results The one thing that has been consistent in the government messages has been to follow the rules “To save the NHS’. This came in from seeing the Italian health system in Lombardy being overwhelmed in the beginning of the year. Repeatedly public asked on the role of the masks and every time they were told that science did not support its use. It took 6 months for science to catch up with common sense but the message remained “To save the NHS” and not “To save your life”. 76% of the 100,000 deaths occurred in the hospitals making them the killing fields of the 21st Century as primary care shut its door to primary treatment of these patients. The patients got advice form online call centres and waited to get seriously ill before reporting to emergency departments. In the hospitals more deaths occurred on the wards then on ITU as patients were triaged or care rationed. Conclusion The government and Public Health England failed to act on the lessons from previous respiratory viruses world over and waited for exact science to be available before changing their social messaging. This in part contributed to lack of public compliance and over 100000 deaths in the UK.
Analysis Framework for Next-Items Recommendation using Local Process Model on a Pairwise Comparison Dataset

Consumers often engage with comparison and attractive recommendations before making a decision to purchase. An intelligence approaches such as recommender system can be applied in order to provide recommendations to consumers while comparing products. While research works in recommendation system focused on transactional data with single item (i.e., market basket), there are some challenges on pairwise comparison, i.e., multiple items at the same time and order sequence of items. In addition, the next-items recommendation is a challenge on a pairwise comparison data due to its characteristics; sparsity and intransitivity. The mentioned challenges can influence consumers’ decision during product search. To address the challenges, this study proposes a new framework by combining two different approaches, i.e., association rules and sequential pattern mining, to generate a recommendation on a pairwise comparison data. Using top-k association rules, the sparsity data problem could be overcome. The result from association rules is suitable for constructing the local process model, as a technique of process mining to find the frequent sequential patterns due to the intransitivity. The result of local process model gives reasonable insights as to the recommender system.
IMPLEMENTASI ALGORITMA DECISION TREE C.45 PADA KLASIFIKASI PENYAKIT TUBERKULOSIS

Tuberculosis is an airway disease caused by mycobacterium, which multiply in parts of the body where there is a lot of blood and oxygen flow. Early identification is the most important thing in the treatment and treatment process for tuberculosis. This algorithm implements C4.5, which is a classification technique in machine learning that is used in the data mining process by forming a decision tree which is represented in the form of a rule. The results of this study are in the form of a system which is expected to help medical personnel to obtain fast and accurate information in diagnosing tuberculosis.
Система за стимулиране и усъвършенстване уменията на учениците за творческо мислене

The analysis of the current state of the Bulgarian school education outlines the main problem – orientation towards memorizing and reproduction instead of provoking thinking, independence and developing skills. Can thinking be taught? How far can this possibility reach? The real practice of nowadays school differs more and more from that kind of education led by the illusion that thinking appears itself in the process of education. Creativity is a matter of value. A new idea is really creative when it is useful or adds some real value for someone. According to prof. Edward de Bono creative thinking is most of all a skill but not a matter of a personal talent or a sudden dawn of inspiration. Cognitive Research Trust program (CoRT) gives the opportunity to teach thinking in the extra-curricular activities at school. Mental methods and tools of thinking form an effective system for stimulating and developing students’ creative thinking skills.
Temu Kembali Kemiripan Motif Citra Tenun Menggunakan Transformasi Wavelet Diskrit Dan GLCM

Indonesia is a country with cultural diversity. One of the famous cultural heritages in Indonesia is Woven Fabrics. East Nusa Tenggara Province, especially South Central Timor, is an area that also produces weaving. There are 3 types of woven fabric motifs, namely the Buna, Lotis, and Futus motifs which were inherited from their ancestors. Woven cloth is unique because it is made through a ritual process and is used for traditional ceremonies, weddings, funerals, and so on. However, along with the development of technology, ordinary people increasingly forget the motifs of woven fabrics and have difficulty distinguishing the motifs. The function of this research is to improve the performance of previous studies in the process of finding the similarity of weaving image motifs using discrete wavelet transforms and GLCM. The results are known, calculations using a confusion matrix on discrete wavelet transformation feature extraction and GLCM, comparisons on discrete wavelet transformations produce an accuracy rate of 70% Minkowski matrix, 60% Manhattan matrix, 60% Canberra matrix, 20% Euclidean matrix. Comparison of feature extraction calculations on GLCM produces an average quality of the Minkowski matrix of 90% and the lowest level of accuracy on the Euclidean, Manhattan, and Canberra matrices of 80%.&#x0D;
STUDY OF STYLE FEATURES OF EDUCATIONAL ACTIVITIES OF STUDENTS IN ONLINE LEARNING CONDITIONS

The article discusses the style features of the educational activities of students in the conditions of forced distance learning. The concept of learning style is analyzed, by which the authors understand a certain psychophysiological system of mastering knowledge and skills, which to a certain extent determines the success of a student as a future professional. Based on the results of the analysis of special literature, a theoretical model is presented that systematizes the most famous classifications of learning styles according to the areas of educational activity of the individual (cognitive, emotional-volitional, behavioral spheres of the individual). It was determined that the differentiation of learning styles based on the motivational characteristics of the individual remains insufficiently developed. The results of the study of the motivation of students’ learning indicate that the majority of them (41.1 %) are motivated by the motivation to receive a diploma. The authors have developed a classification of learning styles based on the motivational sphere of the student’s personality (solid, strategic, superficial, and affiliation learning style). It was revealed that the strategic style of learning prevails among students (41.9 %), the solid style is presented in 24.8 % of the respondents, the affiliationary style – in 18.6 %, the superficial one is less pronounced (14.7 %). The authors have developed recommendations for organizing the educational process. students depending on their style. For students with a dominant strategic style of teaching, the teacher is recommended to determine the goals of the lesson, as well as design a promising goal for the entire period of studying the discipline. It is advisable to organize pedagogical interaction with students with the dominance of the affiliationary style based on their communication needs. In order to attract students with a dominanceof a superficial style of learning activity, it is recommended to provide them with the opportunity to take initiative, to ensure freedom of expression. As a universal, it is proposed to establish feedback and create a favorable learning environment.
CREATIVE DEVELOPMENT OF FUTURE TEACHERS OF HIGHER EDUCATION INSTITUTIONS IN THE PROCESS OF PROFESSIONAL TRAINING

The article reveals the peculiarities of training future teachers in higher education institutions for scientific and pedagogical creativity in terms of master's training.It is established that for the development of creative approach to professional activity of future teachers it is necessary to create conditions in higher education institutions for the development of flexible productive thinking, ability to self-improvement, self-education, reflection of own activity and its results, imagination, improvisation based on knowledge and intuition.For the effective implementation of this process it is necessary to optimize the training of future teachers, to improve the content, methods and forms of educational activities in higher education institutions.It was determined that mastering research activities is the first and main goal of training specialists of master's degree.The research activity of a future teacher is an important condition for the development of a creative, proactive specialist with a focus on constant knowledge, the desire to determine the essence of any phenomenon, finding the best means of solving professional problems, constant experimentation, self-analysis and self-evaluation.Participation in research develops in future teachers a reflection of their own life and professional needs and interests, which is carried out in the process of professionally oriented research tasks, which provides objectivity and forms a critical and constructive attitude to themselves, helps to realize their compliance with the profession and scientific -research activities, when the future teacher acquires the skills of independent thinking, finds meaning and ways to improve themselves in this activity.Research activity satisfies the needs of the future teacher in achieving success, self-knowledge, selfrealization, in understanding the content of their activities, in a systematic vision of their prospects.Objective reality encourages us to pay more attention to the development of research skills in future teachers of higher education institutions.
MENILAI NIAT PERILAKU MAHASISWA UNTUK MENGGUNAKAN ILIAS SEBAGAI PLATFORM PEMBELAJARAN DARING MENGGUNAKAN MODEL UTAUT2

The use of e-learning in the learning process at Amikom Purwokerto University has been implemented since early 2019 by utilizing the ILIAS e-learning platform. The problem that arises is whether students are satisfied and intend to continue using the ILIAS platform for the online learning process during the pandemic period and afterwards where there are still many obstacles experienced by students during online lectures. This study aims to assess the behavioral intention of Amikom Purwokerto University students to use ILIAS as an online learning platform by adopting the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) model. Based on the results of hypothesis testing, it shows that each variable has a significant effect and has a significant impact on the use of ILIAS, this is evidenced by each hypothesis being accepted with a t-value&gt; 1.96. Based on the t-value, the variable Performance Expectancy, Facilitating Condition and Habit is the variable with the highest t-value among the other variables, namely (PE -&gt; BI = 16.8709), (FC -&gt; UB = 13.4742) and (HB - &gt; UB = 12.6896). This shows that these three variables have a high significant influence and impact on the use of ILIAS. In further research, it may be possible to consider the use of moderating variables such as age, gender, experience, and so on or add other variables such as Security and Information Quality.
Increasing Students Speaking Ability Through Genre Based Approach(A Classroom Action Research At Class X MIA B Of MA Al-Rahmah Lebakwangi-Walantaka-Kota Serang-Banten)

Hidayatullah, SRN:122301328. “Increasing Students Speaking Ability Through Genre Based Approach” (A Classroom Action Research At Class X MIA B Of MA Al-Rahmah Lebakwangi-Walantaka-Kota Serang-Banten)”. Graduate research paper, Department of English Education, Faculty of Education and Teacher Training, State Islamic University, “Sultan Maulana Hasanuddin” Banten. Advisers : DR. H. Abdul Mu’in, S.Ag., MM and Hj. Eulis Rahmawati, M.Pd.The research was conducted based on the question of problem: 1). How is students speaking improvement taught by Genre Based Approach ? 2). How is Genre Based Approach applied in teaching speaking? The objective of the study was to find whether teaching Procedure text through genre based Approach is effective to improve the students’ achievement or not. The subject of this researcher was the eleventh grade students of MA Al-Ramah Lebakwangi. The subject of the study was 30 students. In collecting data, the researcher carried out two activities, the first activity cycle 1 the researcher gave students explanation about general structure of Procedure. The last activity cycle 2, the researcher gave a post test to measure the students’ improvements. The average of the students’ result in post-test cycle 1 was 65,83%, and in the post-test cycle 2 was 79,33%. It means that students’ achievement in speaking through procedure text increased significantly. Based on the study, it is found that genre based approach seems to be effective for increasing the students’ speaking ability in procedure text. The researcher hopes this method can be used by other teachers to enable students to write procedure text and perform in front of class.Keyword: Genre Based Approach, Procedure Text, Approach
Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining

Based on the wireless sensor network unmanned driving infringement identification system, this paper focuses on the application of data mining technology and state machine technology and designs and implements a set of practical and effective. Self-driving cars can reduce the frequency of traffic accidents, alleviate urban traffic congestion, improve people’s travel efficiency, and lower the threshold of driving and other social values. The data processing program and a number of algorithms are given, and a complete set of data processing procedures and algorithms are proposed, including the collection of raw sensor data, the preprocessing of the collected data, and the feature extraction of the processed data. In the experiment, the unmanned driving infringement monitoring network was first designed to conduct real-time monitoring of unmanned driving infringements during transportation and application. Aiming at the characteristics of unmanned driving infringements, a monitoring network platform was designed for remote control and large-scale monitoring. Secondly, according to the characteristics of the unmanned driving infringement monitoring sensor network, the unmanned driving infringement node monitoring terminal is designed. The monitoring terminal part mainly designs the sensor module, the wireless communication module, the display warning module power module, and the data mining processing module. The sensor modules, respectively, include temperature, humidity, and concentration sensors, and the communication mode in the communication module mainly adopts Wi-Fi. At the same time, the research is based on wireless sensor network, combined with data mining technology, puts forward a sensory data display system model based on data mining technology, and conducts an in-depth analysis of the sensory data display system model, including the logical level of the system, system architecture, and functional modules. Finally, it focuses on the specific application of data mining technology in environmental information analysis and prediction, uses JAVA programming and realizes a data analysis and display system based on wireless sensor network, and verifies the accuracy of the data mining algorithm. The experimental results analyze the application of data mining technology in the driverless infringement determination system and use a large number of unmanned driving infringements to analyze the determination rules, so as to realize the interaction between active people and driverless cars.
Proof-Carrying Parameters in Certified Symbolic Execution: The Case Study of Antiunification

Symbolic execution uses various algorithms (matching, (anti)unification), whose executions are parameters for proof object generation.This paper proposes a generic method for generating proof objects for such parameters.We present in detail how our method works for the case of antiunification.The approach is accompanied by an implementation prototype, including a proof object generator and a proof object checker.In order to investigate the size of the proof objects, we generate and check proof objects for inputs inspired from the K definitions of C and Java.
A study on optimally constructed compactly supported orthogonal wavelet filters

Compactly supported orthogonal wavelet filters are extensively applied to the analysis and description of abrupt signals in fields such as multimedia. Based on the application of an elementary method for compactly supported orthogonal wavelet filters and the construction of a system of nonlinear equations for filter coefficients, we design compactly supported orthogonal wavelet filters, in which both the scaling and wavelet functions have many vanishing moments, by approximately solving the system of nonlinear equations. However, when solving such a system about filter coefficients of compactly supported wavelets, the most widely used method, the Newton Iteration method, cannot converge to the solution if the selected initial value is not near the exact solution. For such, we propose optimization algorithms for the Gauss-Newton type method that expand the selection range of initial values. The proposed method is optimal and promising when compared to other works, by analyzing the experimental results obtained in terms of accuracy, iteration times, solution speed, and complexity
Supervised Classification Based Machine Translation Quality Estimation

This submission describes the study of linguistically motivated features to estimate the translated sentence quality at sentence level on English-Hindi language pair. Several classification algorithms are employed to build the Quality Estimation (QE) models using the extracted features. We used source language text and the MT output to extract these features. Experiments show that our proposed approach is robust and producing competitive results for the DT based QE model on neural machine translation system.
Urea Fertilizer Quality Testing with Chi-Squared Automatic Interaction Detection (CHAID) Algorithm

PT. XYZ has a Laboratory section in each of its factories that performs its duties manually to determine the quality of the fertilizers to be produced. This manual method is most likely at risk of human error and causes errors in the results of determining the quality of urea fertilizer. An expert system was built using the Chi-Squared Automatic Interaction Detection (CHAID) algorithm which can test the quality of urea fertilizer. The CHAID algorithm applies the decision tree technique where the technique will always branch off two or more as a basis in establishing rules. The system takes the values of the urea fertilizer test parameters as attributes. These attributes are processed to produce the most significant values that will be branches in the decision tree. The parameters used include Nitrogen, Biuret, Moisture, Free Ammonia, Iron, Oil Content, Crushing Strength, and Size Distribution. CHAID algorithm is suitable to be used to test the quality of urea fertilizer because in this study produced 4 different decision trees with an accuracy value of 99% using as much as 100 test data. This number influenced by the amount of training data used to build the rules.
The impact of blockchain on accounting information system

This paper aims to examine blockchain technology, the use of blockchain technology in accounting information systems (AIS) and to identify the important impacts of blockchain technology on accounting information systems. The authors used a descriptive method to discuss blockchain technology platforms and important accounting implications. This study concludes that the use of blockchain technology for accounting system needs to analyse the impacts related to the development of accounting information systems along with the way in which the business parts are implemented, the system design is accounting information system using blockchain technology.
GENERAL CULTURAL CURRICULUM VITAE: PHILOSOPHICAL, PEDAGOGICAL AND PSYCHOLOGICAL ASPECTS

All-European trends in education take as a basis new requirements for specialists' professional responsibility before the Ukrainian society at the planetary and civilizational levels. The suitability of terrestrial and civilizational approaches has linked to a profound paradigm shift in understanding the meaning and possibilities of education as a broad social phenomenon. Education has considered an essential area of a personality's creation, forming individual and socio-cultural mentality in the context of understanding culture and an outlook.
Quantifying Quantum Correlation of Quasi‐Werner State and Probing Its Suitability for Quantum Teleportation (Ann. Phys. 10/2021)

Quantum Correlations In article number 2100201, Arpita Chatterjee, Kishore Thapliyal, and Anirban Pathak establish the relevance of photon addition in the enhancement of single- and two-mode (bipartite correlations) nonclassical properties and teleportation performance using the Wigner function, entanglement, and discord of the two-mode quasi-Werner state. Efficacy of photon addition in the entanglement distillation is also established.