Reviewerly/exHarmony huggingface dataset:
Chinese Text Error Correction Method Based on Prefix Tree Merging

In order to solve the problem of high computational complexity and repetitive calculation of the Long Short-Term Memory (LSTM) language model in the task of Chinese text automatic proofreading, a Chinese text error correction method based on prefix tree merging is proposed in this paper. The method has made the following improvements: different from the traditional error correction method based on N-gram model, the method use LSTM language model to evaluate the rationality of the candidate sentences, and the candidate sentences with higher similarity are combined into a tree structure and then scored. Repetitive calculations can be reduced by merging the same calculations when the model calculates the probability of candidate sentences, which thereby could improve the calculation efficiency of the LSTM language model. The experimental results show that this method can not only achieve good error correction accuracy, but also shorten the time consumed and improve the error correction efficiency.
NON-MONETARY REWARDS AND ORGANIZATIONAL PERFORMANCE OF KAKAMEGA COUNTY, KENYA

Despite the efforts of organizations and workers to increase performance there has been dissatisfaction based on the motivation approaches used. Effective motivation strategies include both monetary and non-monetary rewards for employees to perform. The goal of this study was to investigate the relationship between non-monetary rewards and organizational performance of Kakamega County. Specifically the study sought to determine the relationship between recognition of staff and organizational performance of Kakamega County. The current study was based on Expectancy theory. This analysis used a descriptive and correlational research design, using quantitative approaches. The target population of the study was 3918 with a sample size of 363 workers working in Kakamega County. Questionnaires were used to collect quantitative data. Quantitative data was analyzed using SPSS statistical software (Version 23). Data was analyzed using descriptive and inferential statistics to determine the relationship between study variables. The results from linear regression indicated that recognition of employees (B 1 =0.495, P=0.000) have positive and significant effect on organizational performance of Kakamega County. The study concluded that recognition of staff has significant influence on organizational performance of Kakamega County. The study recommended that county governments should regularly award employee at least on annual basis. This kind of recognition by the management as well as their supervisors would make employees feel appreciated for their input and therefore, help the organization to achieve their goals. This would improve the influence of recognition of staff on organisational performance. Key Words; Non-Monetary Rewards, Recognition of Staff, Organizational Performance CITATION: Luchivisi, P. A., Egessa, R., &amp; Muchilwa, D. (2020). Non-monetary rewards and organizational performance of Kakamega County, Kenya. The Strategic Journal of Business &amp; Change Management, 8 (1), 170 – 182.
비정규 분포 특성을 갖는 공정에서 극소 불량률 관리를 위한 Burr ZP 관리도 설계

Along with the development of various engineering technologies, the recent manufacturing technology and statistical quality control technology have made much progress. Statistical quality management technology is being researched to maintain and manage the quality of parts per million (PPM) level to satisfy the needs of customers. Among them, control chart is a technique to monitor the variation of various quality parameters. In particular, the defective rate control chart for monitoring fraction of nonconforming has a problem in that too many samples are required when fraction of nonconforming decreases to the PPM level. To solve this problem, there are various methods such as acceptance control chart, but it also has a limitation that it can be used only when the quality parameter is normally distributed.In this paper, we propose a method to manage the minimum defect rate of PPM level in the process where the quality parameter has non-normal distribution characteristics. First, we apply the ZP statistic that can represent the minimum defect rate with a small number of samples. Also, BurrZP distribution is suggested by using Burr distribution that can fit most single-probability distribution. And BurrZP distribution is used to show the performance of BurrZP control chart using 3 sigma control chart method.
Analysis an Electronic Health Record based on Hedonic and Pragmatic Aspect of the User Experience

Technologies have been used as a way to improve electronic health records (EHR). Systems that involve the opinion of potential users in design phase have more efficiency, acceptance, and satisfaction of the users. The objective of this paper is to analyze the degree of user satisfaction in the use of an EHR for gestational telemonitoring through usability questionnaire, Attrakdiff. Eight users were selected for the evaluation of EHR. Users agreed that the EHR was task oriented, attractive and very technical, but at the same time simple. The EHR was considered inventive, creative, very good, pleasant and captivating. However, it was not very innovative. The overall evaluation of the system indicated users' satisfaction. Therefore, focusing on the needs and emotions of the user while interacting with a product is a key factor for the success of the software product. When a product meets or exceeds user expectations, it provides a positive experience.
APPLICATION OF INTEGRATED COOPERATIVE MODELS READING AND COMPOTION (CIRC) ON STUDENT LEARNING OUTCOMES

This research is motivated by the application of a learning model that is less attractive to social studies subjects in class III SDN Kalongan 02, causing students to be bored with social studies so that learning outcomes are not optimal. The research method used is a quasi-experimental research. The study population was all third grade students at SDN Kalongan 02 East Ungaran Semarang Regency. The sample was selected by cluster sampling with a sample size of 62 students (31 students in the Experiment class and 31 students in the Control class). The results showed that there was a difference in lerning outcomes in social studies between using the Cooperative Integrated Reading and Composition (CIRC) model in the Experiment class getting the highest score of 95, while the conventional learning model in the Control. Class getting the highest score of 57.5. Learning outcomes in a class using the Cooperative Integrated Reading and Composition (CIRC) model increased compared to the control class with a difference of 37.5. Keywords : Integrated Reading Model, Compotion Model (CIRS), Learning Outcomes
Peningkatan Prestasi Belajar IPA Melalui Penggunaan Metode Picture And Picture dengan Media Komik Siswa Kelas IV SDI Miftahul Huda Plosokandang Kedungwaru Tulungagung

Failure in learning is faced on average by several students who do not have the encouragement to learn, and it also results in their learning achievements in science subjects becoming less or below the KKM (Minimum Completion Criteria). The type of research that will be done by researchers is Classroom Active Research (CAR). By using theAction Test picture and picture method with comic media, successfully proved the increase in learning achievement of grade 4 students of SDI Miftahul Huda in science learning.
Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence

Medical toxicology is the clinical specialty that treats the toxic effects of substances, be it an overdose, a medication error, or a scorpion sting. The volume of toxicological knowledge and research has, as with other medical specialties, outstripped the ability of the individual clinician to entirely master and stay current with it. The application of machine learning techniques to medical toxicology is challenging because initial treatment decisions are often based on a few pieces of textual data and rely heavily on prior knowledge. ML techniques often do not represent knowledge in a way that is transparent for the physician, raising barriers to usability. Rule-based systems and decision tree learning are more transparent approaches, but often generalize poorly and require expert curation to implement and maintain. Here, we construct a probabilistic logic network to represent a portion of the knowledge base of a medical toxicologist. Our approach transparently mimics the knowledge representation and clinical decision-making of practicing clinicians. The software, dubbed Tak, performs comparably to humans on straightforward cases and intermediate difficulty cases, but is outperformed by humans on challenging clinical cases. Tak outperforms a decision tree classifier at all levels of difficulty. Probabilistic logic provides one form of explainable artificial intelligence that may be more acceptable for use in healthcare, if it can achieve acceptable levels of performance.
Penerapan Fuzzy Mamdani Dalam Pemilihan Murid Teladan Pada Sekolah Paud Harmony Kotawaringin Timur

Fuzzy logic is a method used to map an input space into an output space. Fuzzy logic theory is known as fuzzy set (fuzzy set). One of the applications of Fuzzy is used to facilitate the selection of exemplary students. Previously, this school had difficulty in reviewing students' achievements and examples. To solve this problem, a Decision Support System (DSS) was applied using the Fuzzy Mamdani method. Fuzzy method is more effective than manual selection because it doesn't take long. This study will discuss the use of the fuzzy mamdani logic method in determining the category of (i) model or non-exemplary students at HARMONY Sampit PAUD School, East Kotawaringin. The problem to be solved is how to determine students (i) Exemplary or Not Exemplary in Study Group B by using three input variables, namely Report Card Value, Attendance and Attitude Value. The first step in solving the problem in determining the student (i) model or not using the fuzzy mamdani method is to determine the input and output variables which are firm sets. The second step is to change the input variables into fuzzy sets with the fuzzification process, then the third step is processing the fuzzy set data. And the last or fourth step is to change the output into a firm set by defuzzification with the centroid method, so that the desired results will be obtained in the output variable. The results of the calculation using the fuzzy mamdani method for the variable value of report cards 4, the variable value of attendance value 2, the value of attitude 4 is 3.5
Chapter 3. Complete Algorithms

Complete SAT algorithms form an important part of the SAT literature. From a theoretical perspective, complete algorithms can be used as tools for studying the complexities of different proof systems. From a practical point of view, these algorithms form the basis for tackling SAT problems arising from real-world applications. The practicality of modern, complete SAT solvers undoubtedly contributes to the growing interest in the class of complete SAT algorithms. We review these algorithms in this chapter, including Davis-Putnum resolution, Stalmarck’s algorithm, symbolic SAT solving, the DPLL algorithm, and modern clause-learning SAT solvers. We also discuss the issue of certifying the answers of modern complete SAT solvers.
Investigating the Characteristics and Genesis of the Groundwater Resources Associated with Oil Shale Deposits in the Azraq and Harrana Basins, Jordan

Jordan lies in the northwestern part of the Arabian Plate. The structures and sedimentation were controlled by the tectonic evolution with respect to the configuration of the Arabian Plate. Upper cretaceous and Lower Tertiary Formations groundwater aquifers are associated with huge reserves of oil shale deposits in Harrana and Azraq Basins are evaluated in terms of water qualities and hydrochemical processes. The oil shale deposits are found within the Muwaqqar Chalk Marl Formation. The Muwaqqar Chalk Marl Formation represents the intermediate formation between the Lower Aquifer Amman Silicified Limestone and the overburden, which represents the overlying Upper Aquifers of Um Rijam Chalk and Wadi Shallala Chalk. This study aimed to improve the understanding of Muwaqqar Chalk Marl Formation as a sealing potential based on water quality and hydrochemical data of the different aquifers. Sixty water samples were collected from Amman Silicified Limestone Aquifer, High Grade Zone of Muwaqqar Chalk Marl Formation and from the overburden of Um Rijam Chalk and Wadi Shallala Chalk aquifers. The hydrochemistry of the collected groundwater samples represents a signature that reflects the sum of all physical and chemical processes and reactions that affected the water characteristics from the time of infiltration until reaching the aquifer The evaluation of the main hydrochemical processes affecting the groundwater quality were carried out by interpreting the ionic relationships and the water quality types using Piper and Durov diagrams. Comprehensive statistical analyses (Factor and Cluster Analyses) were conducted on the water quality parameters.&nbsp; The factor analyses can extract four factors from the water quality parameters of the Harrana wells Area-1 and for Azraq wells in Area-2. These factors are used to interpret the different geochemical processes affecting the groundwater quality parameters. Cluster analyses divided the Harrana wells into three groups. Cluster I included 26 wells with minimum mean concentrations of cations and anions, while cluster III included the wells with the highest concentrations in the water quality parameters. Cluster II included eight wells with intermediate concentrations. Azraq Area-2 wells are clustered into three groups. Cluster I includes seven wells with lowest water quality (highest concentrations); cluster II includes 12 wells and exhibits the lowest concentrations of ions and Cluster III includes five wells that show intermediate ions concentrations. The interpretation indicated that the primary factors controlling the groundwater chemistry of Azraq and Harrana appeared to be dissolution processes of the carbonate rocks containing traces of evaporitic minerals, ion exchange and reversal ion exchange processes. Moreover, the water quality in the study areas is not suitable for drinking purposes.
Alternating Maximization with Behavioral Cloning

The key difficulty of cooperative, decentralized planning lies in making accurate predictions about the behavior of one’s teammates. In this paper we introduce a planning method of Alternating maximization with Behavioural Cloning (ABC) – a trainable online decentralized planning algorithm based on Monte Carlo Tree Search (MCTS), combined with models of teammates learned from previous episodic runs. Our algorithm relies on the idea of alternating maximization, where agents adapt their models one at a time in round-robin manner. Under the assumption of perfect policy cloning, and with a sufficient amount of Monte Carlo samples, successive iterations of our method are guaranteed to improve joint policies, and eventually converge.
Residual Likelihood Forests

This paper presents a novel ensemble learning approach called Residual Likelihood Forests (RLF). Our weak learners produce conditional likelihoods that are sequentially optimized using global loss in the context of previous learners within a boosting-like framework (rather than probability distributions that are measured from observed data) and are combined multiplicatively (rather than additively). This increases the efficiency of our strong classifier, allowing for the design of classifiers which are more compact in terms of model capacity. We apply our method to several machine learning classification tasks, showing significant improvements in performance. When compared against several ensemble approaches including Random Forests and Gradient Boosted Trees, RLFs offer a significant improvement in performance whilst concurrently reducing the required model size.
DETERMINANTS OF EGYPTIAN ARAB INTER-INVESTMENTS: GRAVITY MODEL EVIDENCE

The research uses the gravity model to assess the flows of investments between Egypt and Arab countries and identifies the most important factors influencing them by using the time series data regression. Results revealed that the growth of Egyptian FDI outflows to Arab countries is expected to be influenced by Egypt and Arab countries’ GDP, Per capita GDP for Arab countries and distance. Improving indicators such as Corruption perception, Business environment, Investment attractiveness, Infrastructure, and Market size in Arab countries is considered very crucial for the development of Egypt’s FDI outflows to Arab countries. On the other hand, Egypt and Arab countries’ GDP, distance, and Egypt’s population are expected to influence Egypt’s FDI inflows from Arab countries, while indicators such as Competitiveness, Corruption perception, Political stability, Business environment, Investment attractiveness, and Market size are seen to be very important for Egypt to consider for attracting FDI inflows from Arab countries
Tantangan Dalam Pembelajaran Di SLB C Kemala Bhayangkari Tabanandi Masa Pandemi COVID-19

During the Covid-19 pandemic the impact was felt on students with special needs in special schools and special handling was needed. SLB-C deals with mentally retarded children, whose IQ is below average, which demands the creativity of the teachers. The home learning system does not only require the independence of students to understand the subject matter. Teacher creativity in delivering teaching materials is also very important. Especially for teachers who serve the education of students with special needs. Tasks that are given online by the teacher should be tasks that provide opportunities for students towards 21st century skills. Digital applications are not just a means of conveying one-way information, but there are targets or achievements, namely as a means of building various skills in 4C. The Covid-19 pandemic can provide benefits for both teachers and students. The teacher tries to prepare learning tools according to the character of the students they face, so that the teacher must also be creative, innovative, and collaborative and able to think at a high level. For children with special needs, not only need knowledge, but also need direct interaction with trusted people. Need touch, and intensive guidance with teachers and caregivers at school. Online learning has an impact on students, students tend to adopt online learning when they feel online learning meets their emotional and social needs. If a particular student learns best in a certain way, he or she must be exposed to a variety of learning experiences to become a more flexible online learner. Online students are more likely to have stronger visual and literacy learning styles. It is necessary to have adequate facilities for smooth learning that will make it easier for students to listen to online learning materials. Students do not have a culture of distance learning, over time it makes children bored. Then the student will lose his social life. The impact felt by teachers was that not all were proficient in using internet technology as a learning tool. Teacher competence in using technology will affect the quality of teaching and learning programs. In the online teaching and learning process at home without adequate facilities and infrastructure at home, it will be difficult for teachers to provide teaching and learning materials online. Teachers do not have a culture of distance learning, schools are closed for too long to make teachers bored, then teachers will also lose their social spirit. There is an additional cost for purchasing internet quota. The obstacle faced by parents is the additional cost of purchasing internet quota, they have to divide more time to assist their children in learning online. Forcing parents to use technology, so that like it or not they have to learn and be ready to teach remotely using technology.
Programming in Python

Solving problems is the main job of the software engineer. Programming is important because a lot of tasks can easily be automated. You can create systems that schedule parcel delivery, that avoid accidents, that recognize your friends, that drive cars. You can create a system that waters your plants and one that fetches your desired news feeds and shows them to you. The list is endless. I remember when I first saw the power of automating mundane tasks by giving them to a computer to do.
Innovation of Buying and Selling Process for Used Reference Materials

Students need the used of reference materials because they want to save their money for daily expenses. It is also as their side income if they become as a seller. However, the available buying and selling process using Whatsapp as a medium seen inefficient because the user was faced with several problems. Among the problems were incomplete advertisements information, sale status cannot be updated automatically and the process of buying and selling takes too long. Therefore, the construction of the BOOKU webpage is recommended to solve the problems. There was a several methods used in problem selection phase such as brainstroming, preliminary study of problems, verification and validation as well as T-shape Matrix. Ishikawa diagram has been used to identify the cause and effect of the problem in terms of material, process, human and environmental factors. A review from user also was carried out to obtain an endorsement of the problem in hand. Then the SWOT analysis method was used to assess the suggestion solution. After the completion constuction of BOOKU webpage, a few trials were carried out to ensure the BOOKU webpage functioned properly. Again, a review from the user was carried out based on the trials results. The result showed majority of users was agreed on the BOOKU webpage as a good solution for identified problems. The BOOKU webpage can provide a completed advertisement, automatically updated the sale status and the buying and selling process has been shorten from seven days to one day.
Implementation of gender characteristics of schoolchildren in the physical culture lesson

The article presents the results of the study, the purpose of which was to design a lesson of physical culture taking into account gender characteristics of schoolchildren, which is based on the basic provisions of the tender approach. The results obtained during the pedagogical experiment and interpreted through careful analysis clearly demonstrate the significant advantages of such an organization of physical exercise. The study shows the importance of mainstreaming gender roles of schoolchildren, which necessitates the creation of special conditions for the organization of physical education lessons in General education. In addition to the above, this article presents specific results obtained during the implementation of the pedagogical experiment aimed at the development of motor creativity in schoolchildren in the organization of the educational process based on the gender characteristics of students.
WeObserve project launches Open Data Challenge

The ultimate goal of the WeObserve Challenge is to find new approaches and solutions to respond to environmental challenges through open citizen-science ...
A family of constacyclic codes over &#x1d53d;pm [υ, w]/⟨υ2 − 1, w2 − 1, υw − wυ⟩

In this article, for any odd prime p, we study the constacyclic and skew constacyclic codes of arbitrary length over R = &#x1d53d;pm [υ, w]/⟨υ2 − 1, w2 − 1, υw − wυ⟩. It is shown that the Gray images of constacyclic and skew constacyclic codes of length n over R are quasi-twisted and skew quasi-twisted codes, respectively over &#x1d53d;pm of length 4 n with index 4. Also, the structures of constacyclic and skew constacyclic codes are obtained by decomposition method.