Reviewerly/exHarmony huggingface dataset:
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning

Commonsense reasoning is one of the ultimate goals of artificial intelligence research because it simulates the human thinking process. However, most commonsense reasoning studies have focused on English because available commonsense knowledge for low-resource languages is scarce due to high construction costs. Translation is one of the typical methods for augmenting data for low-resource languages; however, translation entails ambiguity problems, where one word can be translated into multiple words due to polysemes and homonyms. Previous studies have suggested methods to measure the validity of translated multiple triples by using additional metadata and manually labeled data. However, such handcrafted datasets are not available for many low-resource languages. In this paper, we propose a knowledge augmentation method using adversarial networks that does not require any labeled data. Our adversarial networks can transfer knowledge learned from a resource-rich language to low-resource languages and thus measure the validity score of translated triples even without labeled data. We designed experiments to demonstrate that high-scoring triples obtained by the proposed model can be considered augmented knowledge. The experimental results show that our proposed method for a low-resource language, Korean, achieved 93.7% precision@1 on a manually labeled benchmark. Furthermore, to verify our model for other low-resource languages, we introduced new test sets for knowledge validation in 16 different languages. Our adversarial model obtains strong results for all language test sets. We will release the augmented Korean knowledge and test sets for 16 languages.
MODELING THE TRAJECTORY OF COURIER ROBOTS TAKING INTO ACCOUNT THE PRIORITIES OF THE VISIT

Problem. Automatic control systems for courier-robots are rapidly developing and need a modern algorithms. It is necessary to take into account the additional characteristics of the visited points to form a route for the movement of the robot that is optimal for solving business problems. The paper discusses the principles of forming additional parameters of destinations, and also describes the annealing algorithm for constructing the route of the courier-robot. The purpose of the work is to develop a method for automatically constructing a route for a courier-robot, taking into account the priorities of destinations and the possibility of avoiding obstacles along the route. Methodology. It is proposed to form an integrated characteristic of destinations in accordance with the parameters of the delivered goods: shelf life, shelf life of the goods required by the consumer, and the urgency of delivery of this product to a specific consumer. The problem of finding the optimal route to taking into account different priorities of destinations is solved using the probabilistic method of annealing. The paper presents an algorithm for the formation of an integral characteristic for each destination with the subsequent construction of a route. An algorithm for applying the annealing method for the task of constructing a route is described. The route formation algorithm has been modified by adding additional characteristics for each destination. To demonstrate the operation of the algorithm, a numerical example is given, which was processed using the created software application with a graphical interface for entering data and outputting the result. Conclusion. The basis for further modification of the algorithm for constructing the route of the robot courier has been created. In further development, it is planned to expand the list of parameters that form the integral characteristic of the destination and change the route construction algorithm taking into account the perimeters of obstacles that arise along the path of the robot.
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods.

Current work in explainable reinforcement learning generally produces policies in the form of a decision tree over the state space. Such policies can be used for formal safety verification, agent behavior prediction, and manual inspection of important features. However, existing approaches fit a decision tree after training or use a custom learning procedure which is not compatible with new learning techniques, such as those which use neural networks. To address this limitation, we propose a novel Markov Decision Process (MDP) type for learning decision tree policies: Iterative Bounding MDPs (IBMDPs). An IBMDP is constructed around a base MDP so each IBMDP policy is guaranteed to correspond to a decision tree policy for the base MDP when using a method-agnostic masking procedure. Because of this decision tree equivalence, any function approximator can be used during training, including a neural network, while yielding a decision tree policy for the base MDP. We present the required masking procedure as well as a modified value update step which allows IBMDPs to be solved using existing algorithms. We apply this procedure to produce IBMDP variants of recent reinforcement learning methods. We empirically show the benefits of our approach by solving IBMDPs to produce decision tree policies for the base MDPs.
An efficient approach of image segmentation for noisy images

Segmenting an image is a vital concept in image processing where we sustain the subdivisions of an image in terms of its usability and significance in a multimedia application. Segmented images are essential for different image-processing procedures. The following paper represents a mechanism to acquire the segments of a noisy image. Initially, we input a noisy RGB image and perform RGB to gray conversion on it. We perform median filtering on it to remove salt and pepper noise. Then we processed it to find the edges so that image smoothing may be performed to reduce the number of connected components. As soon as we calculate the number of connected components, the task of segmenting and extracting an image’s objects can be performed quite conveniently.
성인학습자의 후진학 계속교육 만족도와 참여의사에 미치는 요인에 관한 연구 – 직무관련특성 및 교육환경특성을 중심으로-

This study is to examine various factors affecting satisfaction of adult learners with college later and continuing education and intention to engage. Accordingly, the study practically examined the influence of job-related factors and educational environment factors as well as the relationship between satisfaction with college later and continuing education and intention to engage. The results of the study are as followings. First, it was found that two variables of average monthly income' and 'provision of in-house education' among corporate characteristic factors of job-related factor had statistically significant and positive effect on college later and continuing education. Second, it was found that two variables of 'contribution of capacity improvement' and 'company support' among educational training factors of job-related factor had significant and positive effect on the satisfaction of college later and continuing education. In addition, 'employment type factor' among corporate characteristic factors of job-related factor was found to be an antecedents that showed significant effect on the intention to engage college later. Third, it was found that 'educational hours' among educational environment factors had negative effect on the satisfaction of college later and continuing education and 'attendance weight of classes' had a positive effect. No variables that had significant effect on intention to engage education among educational environment factors were found. Fourth, the satisfaction of adult learners with college later and continuing education had statistically significant and negative effect on intention to engage.
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning

High sample complexity remains a barrier to the application of reinforcement learning (RL), particularly in multi-agent systems. A large body of work has demonstrated that exploration mechanisms based on the principle of optimism under uncertainty can significantly improve the sample efficiency of RL in single agent tasks. This work seeks to understand the role of optimistic exploration in non-cooperative multi-agent settings. We will show that, in zero-sum games, optimistic exploration can cause the learner to waste time sampling parts of the state space that are irrelevant to strategic play, as they can only be reached through cooperation between both players. To address this issue, we introduce a formal notion of strategically efficient} exploration in Markov games, and use this to develop two strategically efficient learning algorithms for finite Markov games. We demonstrate that these methods can be significantly more sample efficient than their optimistic counterparts.
Perubahan Risiko Bencana Banjir Bandang Berdasarkan Perubahan Guna Lahan dan Peningkatan Jumlah Penduduk di Wiliayah Sekitar DAS Mikro Sub DAS Ciwidey Tahun 2017 dan 2036

The purpose of disaster risk assessment in this study is to identify and mapping of the level of change in flash flooding disasters risk in the area around the Micro Watershed of Ciwidey Watershed. This study uses a descriptive comparative method, using the spatial analysis method consisting of Overlay, Buffer and CA Markov techniques with the calculation of the risk index based on the technical guidelines for the preparation of the hazard and risk map issued by Japan International Cooperation Agency (JICA) in year of 2015. the risk that occurs only at the low to medium level, low to high, medium to low and medium to high where the area changes from the low risk level to the medium size of 74.29 ha, is being low at 97.54 ha, low to high amounting to 0.05 ha, and being high at 2.22 ha.
The para digm of sense context as a rule forming environment

The transition to a new paradigm of the semantic context should be based on a new kind of abstraction of human actions in the form of a universal semantic factor, which is “comparable to the subject in perfection”. An idea is formed about the basic abstract construction of meaning as a methodological means (approach) for organizing data into rules for performing actions. An example of using the proposed abstraction of meaning for organizing the unity of the analysis of the existing method and the synthesis of a new one is considered.
Leveraging Topic Relatedness for Argument Persuasion

Argumentation exposes individuals to conflicting viewpoints and can help them make more informed decisions based on the pros and cons of a particular issue.While recent studies of argumentation in Natural Language Processing have mainly focused on understanding the effect of various factors of persuasion (i.e. the source, audience, and language style), the impact of exploiting the relationships among controversial topics when predicting argument persuasiveness remains under-explored.In this paper, we model the relatedness among controversial topics utilizing an embedding-based method based on individuals' stances on the topics.We then leverage these topic embedding features and incorporate topic semantics features extracted from the arguments along with the previously studied factors of persuasion.We show that incorporating both types of topic relatedness features explicitly leads to significant improvement in predicting persuasiveness and also helps enhance generalization to rare topics, in a few-shot setting.
ANALYSIS OF EXPERIENCE OF LEADING BUSINESS INCUBATORS OF THE REPUBLIC OF KAZAKHSTAN AND PROPOSALS FOR DESIGNING A GENERAL FUNDAMENTAL ORGANIZATIONAL AND ECONOMIC CONCEPT OF FUNCTIONING OF A REGIONAL BUSINESS-INCUBATOR

In this article, the authors focus on the fact that business incubators play an important role in the development of entrepreneurial education. The article analyzes the leading business incubators of Kazakhstan, highlights the main areas of their work, the functions of business incubators, identifies145 МИРОВАЯ ЭКОНОМИКА И ЗАРУБЕЖНЫЙ ОПЫТ the main systemic and frequent problems. The article formulates proposals for the design of a general fundamental concept of the functioning of a regional business incubator.
Sentiment analysis and review ranking using Naïve Bayes with weights in online social networks

Online reviews are critical in many aspects, for business as well as customers. Yet the accuracy and trustworthiness of these reviews are usually unsubstantiated and little research has been performed to investigate them. For the 2016 US Presidential election, many people expressed their likes or dislikes for a particular presidential candidate. Our aim was to calculate the sentiment expressed by these tweets, and then compare this sentiment with polling data to see how much correlation they share. We used a lexicon and Naive Bayes Machine Learning Algorithm to calculate the sentiment of political tweets collected one-hundred days before the election. We used manually labeled tweets as well as automatically labeled tweets based on hashtag content/topic. Our results suggest that Twitter is becoming a more reliable platform in comparison to previous work. Furthermore, we use a set of Yelp reviews on various topics (food, hotel, etc.) as an example to perform sentiment analysis and investigate the correlation between review comment sentiment and its numeric rating. We used feature selection techniques to statistically remove redundant words from reviews, thus improving run time and accuracy. Our method gives higher weight to those terms/words appearing in reviews with more useful votes. These techniques combined with Naive Bayes approach achieves an overall accuracy of 75%. More interestingly, our method is shown to perform well in 1-star and 5-star reviews, with 92% accuracy for the latter. With such a strong accuracy, we argue that the proposed sentiment analysis technique can be used to shed light on all online comments, especially those without numerical ratings.
Agile Risk Management as a Solution to the Failure of Kenyan Public Projects

Risk management is key in determining the success of a project.Despite adoption of risk management by the public sector in Kenya, research has shown that up to 79.2% of the construction projects still fail whether in terms of experiencing delays, cost overruns or failure to meet the expected quality.The main aim of this study was to establish whether Agile Risk Management principles present a practical improvement to the predominant practice of risk management in the Kenyan public sector.Data was collected from a team of Architects, Engineers and Quantity Surveyors in the State Department of Public Works, Nairobi, using questionnaires and an interview.Results obtained showed that risks are directly related to the causes of failure of these Kenyan public projects and therefore improving risk management practices will promote the success of these projects.It was also evident from the study that the predominant approach to risk management in Kenya was Traditional Risk Management.The Agile Risk Management principles are hardly implemented in Kenya owing to the fact that professionals are not aware of this approach.Upon further analysis, this study established that the adoption of some Agile Risk Management principles is indeed a solution to the failure of Kenyan public projects as it presents a practical improvement to the predominant risk management practices.This study brings to light the need to closely examine the risk management practices in Kenya generally in both the public and private sectors.Another implication of this study is that it highlights the need of professional bodies and other relevant authorities to create more awareness on this and other approaches to risk management among their members.
DISTANCE LEARNING METHODS FOR STEM EDUCATION COURSES

New technologies and innovative devices are increasingly penetrating into human life, actualizing the need for their development and implementation. An important role in this process is the training of teachers who are able to master and use such equipment in the field of education. Currently, STEM education is becoming increasingly popular, allowing you to quickly master new devices and technologies. Special pedagogical STEM parks are being created, where innovative techniques are being tested in the training of teachers. In Kazakhstan, as well as other countries with vast territories, the development of STEM education is possible through the use of remote forms of organization of the educational process. This paper discusses possible ways to use and develop distance-learning forms in the organization of STEM courses. Models of organizing courses on mechatronics and robotics based on the use of new educational devices are proposed.
APPLICATION OF THE DESIGN METHOD IN TEACHING PHYSICS AT SCHOOL

The article presents a real example of research of a scientific project using one of the methods of innovative pedagogical technologies. The model of application of the project method to research works of schoolchildren in physics is obtained. The scientific project model contains the design algorithm, SMART project goal, brief description of the project, and the result of training in the design method. A scientific project on the topic «Research of the radiation spectrum of artificial light sources» is considered. For the analysis of the radiation spectrum, 5 light sources were selected, which are manufactured commercially and are used for lighting. Studies of radiation spectra were carried out on a special installation. Analyzing the spectral lines of the selected light sources, it is proposed to construct a radiation source from LEDs of different colors. It is recommended that subject teachers use the design method for each new physics topic for students in grades 5-9 to develop their project skills.
Intellectual impact of cyber governance in the correct application of cloud accounting in Jordanian commercial banks - from the point of view of Jordanian auditors

This study aimed to know the intellectual impact of cyber governance in the Correct application of cloud accounting in Jordanian commercial banks. The study population consisted of external auditors practicing the profession of auditing in Jordan , which numbered till the end of 2018, (477) practicing certified public auditors. Taking a simple random sample that included (213) auditors, and for the purpose of analyzing the study data and testing the hypotheses, the statistical package for social sciences “SPSS” was used In various statistical analyzes, a descriptive statistics and internal consistency coefficient (Cronbach 's alpha) was also used , multiple linear correlation test using the Pearson correlation coefficient and the Variance Inflation Factor, Multiple linear regression and stepwise regression analysis were used to test the study hypotheses. The study found many results, one of the most important results was the existence of the intellectual impact of cyber governance in the Correct application of cloud accounting, where it was found that ( Cybersecurity policy ) came first, which explained (65.5%) of the variance in the dependent variable, and when adding (Cyber Information Security Management ) the rate of interpretation increased to ( 72.9%) and the addition of the (Cybersecurity Program) increased the rate of interpretation to (75.7%). The addition of (cyber risk assessment and management) has led to an increase in the rate of interpretation to (77.0%), while the rate of interpretation reached to (77.8%) when adding (cybersecurity governance’s requirements). The most important recommendations are that Jordanian banks, before making a change in their ICT environment, operations or procedures, or after any event that affects their security, should ascertain whether changes or improvements to the cybersecurity policy and program are needed.
Trendy at 70: New (old) services of the centre for scientific information

Purpose. This paper brings the overview of the current online services of the Centre for Scientific Information (CSI) of the Ruđer Boskovic Institute. These services were available before the COVID-19 pandemic outbreak but also during the full closure of the libraries and the period of working from home. Approach. Due to the COVID-19 pandemic, the Centre for Scientific Information (CSI), along with other libraries in Croatia, locked down its doors to the public on March 20, 2020. The library staff started to work from home. Thanks to the numerous online services (CROSBI, FULIR, SEND, etc.) which enable remote access to CSI’s services, the Center was more than prepared for the new mode of work. The working processes were well organized and the majority of the services were available to the end users. Findings. The Centre for Scientific Information was among the first Croatian libraries that adopted and introduced information technology into everyday work back in the 90s. The Centre has worked continuously on the development and implementation of the applications and services. Therefore, it was possible not only to provide all standard services to its users, but also to work on its further development. The unpredictable crisis situations during 2020 confirmed that this direction of development of libraries is nowadays necessary and unavoidable, and that the additional effort should be made for its further improvement. Originality/Value. The Centre for Scientific Information have responded success-fully to the COVID-19 crisis, and the services and practical solutions presented in this paper could be used as an example to other libraries facing similar challenges. © 2021, Hrvatsko Knjiznicarsko Drustvo. All rights reserved.
Case Study : Rizq Kaseh Resources / Nur Liana Mohd Rashid

The case study is one of the theories that can be applied about the company technology to the realistic situation. The report would have the ability to perform a research on the selected organization for the purpose of performing the case study. The company carrying out the analysis is Rizq Kaseh Resources currently located in Karangan, Kedah. The general information had been collected in the first place. The information is gathered through the primary sources by face to face interview method and secondary sources by additional information from the internet.Moreover, the objective of the study is to work on the background, organizational structure, products that Rizq Kaseh Resources provides and produces. The technology that we used for Rizq Kaseh Resources is stingless bee honey suction pump. The demand of stingless bee honey is high locally and internationally due to the limited production in Malaysia. According to Agriculture and Agro-based Industry Minister Datuk Seri Ahmad Shabery Cheek,the honey from stingless bee (kelulut) can be the national super food as it is rich in anti-oxidants and also good for health and stamina. Thus, the company are using physical marketing such as peddler to the community to promote the product. Besides that, the company also using socialmedia such as Facebook as initiative to market the product of stingless bee honey. The solution of building the innovated trap-nest for stingless bee are quite interesting to overcome the natural process of stingless bee during the swarm process where workers from the mother nestchoose a new cavity and start to prepare it by cleaning and bringing nest material from the mother nest
LibGuides: Special Collections and Archives Research Center Anti-Racist Actions: Actions Underway

We acknowledge that materials in SCARC collections and the language that describes them may be harmful. We are actively working to address our descriptive practices; this guide provides more information regarding our anti-racist actions.
SUNY Old Westbury Library: CSTEP Online Summer Program 2020: Find Articles

An electronic subject guide for CSTEP. A collection of electronic resources for finding articles