Reviewerly/exHarmony huggingface dataset:
The Application of Artificial Intelligence Technology in the Teaching of Chemistry Major in Colleges

With the enhancement of our country's economic strength, the continuous growth of information technology, the use of artificial intelligence (AI) technology has become more and more extensive, and its appearance has provided great convenience to people's lives. In recent years, AI has also been gradually applied to chemistry education. People use AI technology to carry out personalized chemistry teaching activities, thereby cultivating students' innovative ability and improving students' comprehensive quality level. This article aims to study the use of AI technology in the teaching of chemistry majors in colleges. On the basis of analyzing the characteristics of AI, the main characteristics of personalized teaching and the influence of AI on the teaching of chemistry majors, in order to further understand students’ attitudes and views on the use of industrial intelligence technology in chemistry teaching. This article conducted a questionnaire survey on chemistry students from two universities. The results of the survey showed that students from the two universities are very satisfied with the use of AI technology in chemistry teaching. High, most students are satisfied with this technology, only a few students are dissatisfied, the prospect of AI technology in teaching is very promising.
Learning Proposals for Probabilistic Programs with Inference Combinators

We develop operators for construction of proposals in probabilistic programs, which we refer to as inference combinators. Inference combinators define a grammar over importance samplers that compose primitive operations such as application of a transition kernel and importance resampling. Proposals in these samplers can be parameterized using neural networks, which in turn can be trained by optimizing variational objectives. The result is a framework for user-programmable variational methods that are correct by construction, and can be tailored to specific models. We demonstrate the flexibility of this framework in applications to advanced variational methods based on Gibbs sampling and annealing.
糸井武作『仇競今様櫛』からみる天保四年の｢二代目十返舎一九｣公表を巡って

As a result on considering the bibliographic research method about the works that show the situation before and after the publication of Jippensya-ikkuⅡ of Itoi-takesi in 1833, it was found　the following things. I pointed out that, in the case of Ninzyobon “Adakurabe-imayogusi”, it is presumed that the second volume was published in 1832, and he proposes that he has named himself “Ikku Ⅱ” in the two volumes. Then, as a result on considering in order to consolidate his position as Ikku Ⅱ,　I examined the identity of “Yomono-masaki” who conveys his name in a three-volume epilogue, and it was found　the following things. (1) “Yomono-masaki” would not be Gohensya-hankyu. (2) “Yomono-umehiko” was the successor of “Yomo”, who had been selling sake called Takisui, and would be a different person from Yomono-masaki.
The Educational Program Delivery System: Medium of Communication for the Rural Community

An effective delivery system is essential in spreading any form of information about education to the community. Particularly, the essence of any education program may not be delivered to the society if the utilized system is inefficient. Thus, the aim of this article is to identify the medium of educational delivery systems that are used among the rural community of Baling. A total of 10 parents were involved in the in-depth interview process. Data acquired is analyzed through thematic analysis. The research suggested that the rural community opt for meetings or similar gatherings as their preferred medium to obtain information from the schools acting in the redelivery of the government. This article viewed that Baling community is in need of help from the local communities and the non-governmental bodies to obtain information about education programs. The ‘top to bottom’ and ‘bottom up’ approaches are needed to empower the people of Baling.
ANALISA POLA PEMBELIAN KONSUMEN MENGGUNAKAN ALGORITMA APRIORI DI JOIN MART

Data mining is a science whose job is to find, explore, or mining knowledge from the data or information we have. With the information, it can be used to make a decision because information is very important for everyone, including for minimarket businesses such as Join Mart. This Join Mart is very close to the shopping center in Batam City, then it can affect the increase in sales every day and make the pile of data in database more and more. Basically, pile of data is better processed so that it becomes one of the useful business defense strategies for Join Mart. Analyzing purchasing patterns using apriori algorithm can find the relationship of each item and find out each item that appears simultaneously. In this study, the highest item results were found in Oil, Salt, and Flavors with a supporting value of 20.00% each while Confidence was 100.00%.
Detection of Acute Leukemia Using Segmentation and Classification Algorithm

Blood is a body fluid, which is composed of blood cells (white and red blood cells), along with platelets suspended in blood plasma. In the medical field, segmentation and extraction of blood smear cells is very important. Leukemia is a blood cancer that mainly categorized into two types acute and chronic. In this research, we focused on to identifying Acute Lymphocytic Leukemia (ALL), and Acute Myelocytic Leukemia (AML) as leukemia type blood cancer. ALL appears in the blood cells due to abnormal growth of immature WBCs in the bone marrow. AML starts growing from the soft inner most part of bone. Both mainly affect children and people above 50 years. The mortality rate has risen sharply due to the late diagnosis and cost of the devices used for the diagnosis purpose. The flow cytometry method, which performs automatic counting of blood cells, fails to detect abnormal cells. Recalculations using a hem cytometer are prone to errors and are inaccurate. In this paper, a segmentation and classification based model for detecting ALL, and AML type leukemia is presented. The morphological based pre-processing technique is used to visualize the exact blast cell in the image by minimizing the normal cell visibility. After that, to find out the exact region of blast cells K-means is used for segmentation. To overcome the problem of foreground (blast cell) and background (normal cell) pixel mix up, Firefly Algorithm (FFA) as Swarm Intelligence (SI) algorithm is used. As the proposed algorithm, PSO is hybridized with FFA as a fitness function to FFA. To extract the features from the segmented blast cells, a Histogram of Oriented Gradients (HOG) descriptor is used. The detection of blood smear cells is performed using K-means, K-means with FFA, and K-means with Particle Swarm Optimization (PSO) approach. This is performed to know the best combination of SI with the K-means technique. AT last, the concept of Machine Learning (ML) using Artificial Neural Network (ANN) is used to train the proposed design automated leukemia segmentation and classification model that helps to classify the types of lymphoblastic leukemia in terms of ALL and AML with the performance parameters. The result shows that ANN with FFA offered an accuracy of 96.6%, and outperformed compared to existing work.
Pattern Identification - A Foundation for Research in the Emphasis of Design Patterns in Systems Engineering and Knowledge Capture

Pattern Language describes the morphology and functionality of a system in the absence of design particulars. Harnessing this capability will provide the Systems Engineering discipline a means of managing the development of increasingly complex systems with increasingly distributed design teams while capturing and retaining knowledge for future generations. Pattern Language is a syntax for describing, and structurally relating, design patterns. Design patterns contextually describe the application of domain knowledge in the engineered solution to the force balance problem. The parallels between pattern recognition and application, as a fundamental stage of human learning, and pattern observation within a complex system, suggests pattern language may be a valuable tool in the capture and dissemination of knowledge. Pattern application has enjoyed considerable study over the last several decades, however much of this work has focused on the replication of design particulars. This work returns to the roots of Pattern Language and explores the utility of patterns as an architectural description and guide, and knowledge capture method, for complex system development beginning with the identification of a time proven design pattern.
Cryptoassets: Proposals for Legal Qualification and First Regulatory Approaches

This paper aims to study the legal issues of cryptoassets. Provided a brief reference on the working of bitcoin and blockchain, this research offers a possible answer to the question concerning the legal nature of cryptocurrencies. Lastly, the main disciplinary aspects of Initial Coin Offerings in Italy and France have been thoroughly studied.
The internet of everything from Islamic perspective

Internet of Everything (IoE)isa nexus of“people”, “processes”, “data”, and “things”, promoting closer collaboration and enhanced compatibility for the purpose of accelerating the flow of network connections and the information transference associated with them. Despite the immense success of IOE, it seems as though the system still has a few glitches in the aspects of security and privacy, or data protection. The various uses of IoE in maintaining and retaining specific individual data must be closely monitored, as it may be misused by anonymous entities for malicious purposes. This paper proposes a possible and relevant solutions to counteract these problems and ensure that the solution is working parallel to Islam's solutions from the Holy Quran and the Noble Sunnah of Prophet Muhammad. Hence the paper conceptualized IoE as an evolving new technology that is a vital part of everyday life and Islam as well. Therefore, those IoE characteristic for the applications and services associated value multilayer stack are highlighted in the paper. The interlinked IoE technologies that gives machine-to-machine connectivity anywhere and anytime to communicate, exchange information, and complete an action associating with value-based are also highlighted. Finally, the paper reveals that IoE implementation with due consideration to value-based may usher in various ethical and privacy concern
Elliptic Curve Fast Fourier Transform (ECFFT) Part I: Fast Polynomial Algorithms over all Finite Fields

For smooth finite fields $F_q$ (i.e., when $q-1$ factors into small primes) the Fast Fourier Transform (FFT) leads to the fastest known algebraic algorithms for many basic polynomial operations, such as multiplication, division, interpolation and multi-point evaluation. However, the same operations over fields with no smooth order root of unity suffer from an asymptotic slowdown. The classical algorithm of Schonhage and Strassen incurred a multiplicative slowdown factor of $\log \log n$ on top of the smooth case. Recent remarkable results of Harvey, van der Hoeven and Lecerf dramatically reduced this multiplicative overhead to $\exp(\log^* (n))$. We introduce a new approach to fast algorithms for polynomial operations over all large finite fields. The key idea is to replace the group of roots of unity with a set of points $L \subset F$ suitably related to a well-chosen elliptic curve group (the set $L$ itself is not a group). The key advantage of this approach is that elliptic curve groups can be of any size in the Hasse-Weil interval $[q+1 \pm 2\sqrt{q}]$ and thus can have subgroups of large, smooth order, which an FFT-like divide and conquer algorithm can exploit. Compare this with multiplicative subgroups over whose order must divide $q-1$. For polynomials represented by their evaluation over subsets of $L$, we show that multiplication, division, degree-computation, interpolation, evaluation and Reed-Solomon encoding (also known as low-degree extension) with fixed evaluation points can all be computed with arithmetic circuits of size similar to what is achievable with the classical FFTs when the field size is special. For several problems, this yields the asymptotically smallest known arithmetic circuits even in the standard monomial representation of polynomials.
Horizontal Attention Convolution Layer for Stereo Matching

Obtaining a disparity map with stereo matching is one of the most important research topics in areas such as image processing and computer vision. Disparity maps are frequently used by autonomous systems that need depth information of the environment. Recently, high accuracy disparity maps have been obtained with end-to-end deep learning. In this study, a horizontal attention-based convolution layer has been proposed in order to better extract the sequential information in the horizontal plane in the rectified stereo images in methods based on deep learning. The proposed structure has been applied to the DispNetC network, which has been widely used in the literature, and has increased the performance of the network. On the other hand, the proposed method have a very low effect on the network's runtime. The results obtained are shown on the Scene Flow dataset. The codes of the study are available at the following address: https://github.com/aemlek/HADN
The influence of Think-Talk-Write toward students' descriptive writing achievement at the tenth graders

The objectives of this research were to investigate whether there is positive influence after the implementation of TTW toward students’ descriptive writing achievement and to describe how is students’ response after they are taught by TTW. This research was a quantitative research. The sample of this research was the tenth graders of senior high school students. The writing test which consists of pre-test and post-test was used as the research instrument. The data were analyzed by using Paired Sample T-Test to answer the first question and descriptive statistics was used to answer the second question. The result showed that there was statistically an improvement of students’ descriptive writing achievement of which the result was significant to 0.000 < 0.05. Moreover, the students gave positive response toward the implementation of TTW. It was proved by the result of the analysis of the questionnaire of where the students mostly chose agree and strongly agree. This research suggests that teaching writing descriptive text by using TTW can give positive influence and positive response toward students’ descriptive writing achievement. Keyword : Think-Talk-Write (TTW), writing, descriptive text.
The Efficiency and Effectiveness of the Cyber Security in Maintaining the Cloud Accounting Information

The study is aimed to identify the effect of the Cyber security Efficient and Cyber security effectiveness on Cloud accounting information in Jordanian public shareholding companies from the point of view of Professors and Managers information security. To answer the problem of the study a questionnaire was developed and distributed to 125 Professors and 75 Managers information security. By testing the hypotheses of the study, there is a significant impact of the of Efficient and Cyber security effectiveness on Cloud accounting information. This corresponds to the fact that Cyber security Efficient and Cyber security effectiveness it increases Reliability of cloud accounting information and reflects on the outcome of Earnings.
미신과 실존 - 루쉰의 『복을 비는 제사(祝福)』재해석

The study analyzed Lu Xun’s novel “The New-Year Sacrifice” in terms of the existence of life. The study found that when Lu Xun was writing a novel in his novel collection “Pang Huang,” his thoughts on the existence of life stood out, and that “The New-Year Sacrifice” was a representative work. In this study, the novel consists of two stories of “I” and “Xianglin,” and sees the three characters: “I” and “Xianglin” and “Lusiye.” In this study, I saw the confrontation between Xianglin and the Lusiye as the confrontation between “fake intellectuals(僞士)” and “superstition(迷信)” as Lu Xun described it, and Xianglin fell into despair as the faith of “fake intellectuals” denied Xianglin’s superstition. While existing research mainly focused on revealing the cause of the tragedy Xianglin went through, this study analyzes the confrontation between Xianglin and the Lusiye according to Lu Xun’s religious view, and analyzes the reason why the narrator ‘I’ can’t answer the questions Xianglin has asked. In this study, the reason the narrator is unable to answer Xianglin’s question is because he interpreted Xianglin’s question as an existential question of life. The narrator, who stands in the existential position of life, is in a position where he cannot give Xianglin any one answer. In this study, the reason the narrator is in a situation where he cannot answer if there is a soul or not, and he cannot answer because he interprets the question Xianglin asked in terms of the existence of Xianglin’s life while he sympathized with Xianglin’s tragedy. In this study, I analyzed that this predicament of the narrator reflected Lu Xun’s thinking at the time of writing the collection “Pang Huang”, and that he could not answer Xianglin’s question because he sympathizes with Xianglin not in terms of enlightenment or religious position but in terms of existentialism.
ADAPTING TO NEW REALITY: SHIFTS IN ATTITUDES AND CHALLENGES OF STUDENTS IN RUSSIAN UNIVERSITIES DURING COVID19

ADAPTING TO NEW REALITY: SHIFTS IN ATTITUDES AND CHALLENGES OF STUDENTS IN RUSSIAN UNIVERSITIES DURING COVID19
A Survey of Automatic Code Generation from Natural Language

Many researchers have carried out studies related to programming languages since the beginning of computer science. Besides programming with traditional programming languages (i.e., procedural, object-oriented, functional programming language, etc.), a new paradigm of programming is being carried out. It is programming with natural language. By programming with natural language, we expect that it will free our expressiveness in contrast to programming languages which have strong constraints in syntax. This paper surveys the approaches that generate source code automatically from a natural language description. We also categorize the approaches by their forms of input and output. Finally, we analyze the current trend of approaches and suggest the future direction of this research domain to improve automatic code generation with natural language. From the analysis, we state that researchers should work on customizing language models in the domain of source code and explore better representations of source code such as embedding techniques and pre-trained models which have been proved to work well on natural language processing tasks.
포스트 코로나 시대의 한국대학 국제화 전략 - 코로나19시대 중국인 유학생들에 대한 교육전략 개선방안을 중심으로 -

In a situation where movement around the world is restricted due to COVID-19, it is becoming increasingly difficult for Korean universities to attract foreign students. So the need fororganising strategies to attract Chinese students is getting higher than ever. The purpose of this study is to propose solutions on how to attract Chinese students in preparation for the post COVID-19 era.In this research, a survey was conducted on Chinese students who got enrolled in Korean universities. All participants, in total of 1,438, were Chinese nationals. In order to conduct the research properly, a Chinese questionnaire was used and the questions were reconstructed with reference to previous studies.Frequency analysis was performed based on collected questionnaires, and some meaningful results were as follow. More than 68% of Chinese students and their guardians were not satisfied with on-line classes, and they also made a point that the efficiency of on-line classes was lower than that of off-line classes. Also over 95% of Chinese students and their guardians expressed the concerns about lack of experience for overseas study (actual learning in the campus) and expenses for studying abroad. The most concern was that it would have negative effects on students’ academic continuity if on-line classes continue in the future.In order to maximize the stabilization of attracting Chinese students, it is emphasized that support of a customized study environment should be provided to international students. In particular, more than 51% of the survey participants and their guardians plan to change their destinations for overseas study. According to these results, strategic measures for stabilizing the attraction of Chinese students to Korean universities were discussed and suggested in this study in preparation for the post COVID-19 era.
Applied of Information Gain Algorithm for Culinary Recommendation System in Lhokseumawe

Information gain is an algorithm that can be used to rank datasets. This research applied the information gain algorithm to the culinary recommendation system in Lhokseumawe city.Â Lhokseumawe is one of the tourist destinations in the northen region ofÂ Aceh, due to its strategic location near the beach.Â Apart from the beach, culinary is the main choice of tourists when visiting Lhokseumawe city.Â The purpose of implementing this recommendation system is to make it easier for tourists to find the best culinary recommendations in Lhokseumawe city based on the value of the data ranking with the information gain algorithm.Â The results of this research shown that the highest rank of information gain values is 0.545715, 0.530769, and 0.497328, continuously.Â This value provided in the culinary recommendation system in Lhokseumawe city, namely Mie Ayah, Bakso Pim, and Bakso Pak De.
Development Of E-Learning For Students' Creative Thinking On Algorithms And Programming In Senior High School

The ability to creative thinking is one of the focuses in informatics learning on algorithmic and programmingmaterials. Through the process of creative thinking, students learn how to see a solution to a problem fromvarious perspectives and learn how to find innovative answers and solve problems in various ways. One of thecompetencies that high school students must have in informatics subjects is the ability to understand conceptsand use algorithms and programming in the computer field to solve various programming problems, without awell-designed algorithm, the programming process will be wrong, damaged, or slow and not efficient. Thepurpose of this research is to develop e-learning for students to creative thinking in algorithms andprogramming in high school. The research and development method used in this research is Research andDevelopment (R&D), in this study the implementation is only up to the sixth step 6. This research was conductedat SMAN 1 Pagelaran Pringsewu Lampung in class X 2019/2020 academic year. The results of the analysiscarried out in this study indicate that the condition of the SMAN 1 Pagelaran School and the potentialavailability of facilities and infrastructure that support the development of e-learning for students to creative thinking in algorithms and programming. The results of the validation of the media expert for the development of e-learning have an average score of 3.82 and the results of the validation of the material experts on an average of 3.75 can be concluded by the expert validators that e-learning is good to implement insenior high school