Reviewerly/exHarmony huggingface dataset:
Proximity Graphs for Similarity Searches: Experimental Survey and the New Connected-Partition Approach HGraph

Similarity searching is a widely used approach to retrieve complex data (images, videos, time series, etc.). Similarity searches aim at retrieving similar data according to the intrinsic characteristics of the data. Recently, graph-based methods have emerged as a very efficient alternative for similarity retrieval, with reports indicating they have outperformed methods of other categories in several situations. This work presents two main contributions to graph-based methods for similarity searches. The first contribution is a survey on the main graph types currently employed for similarity searches and an experimental evaluation of the most representative graphs in a common platform for exact and approximate search algorithms. The second contribution is a new graph-based method called HGraph, which is a connected-partition approach to build a proximity graph and answer similarity searches. Both of our contributions and results were published and received awards in international conferences.
The Role of China’s Teaching Research System in Promoting Evidence-based Reform in Education: A Case Study of Jiangsu Province

Teaching research system is a unique professional community of education and teaching research in China. It is an important driving and leading force in promoting evidence-based reform in education in China. Using fifteen-year exploration of evidence-based reform in education in Jiangsu Province as a case, this paper presents the ways and characteristics of evidence-based reform in education in China, with a focused analysis of the role of teaching research system in the reform. Despite its uniqueness, China’s evidence-based reform in education can still contribute experience to its world counterpart.
Research and Application of Reinforcement Learning Recommendation Method for Taobao

Nowadays, many e-commerce companies are using reinforcement learning recommendation methods to maximize long-term benefits. Alibaba Group and Nanjing University build “Virtual Taobao”, a Taobao simulator. In this paper, we proposed TTD3 based on TD3 and trained it in Virtual Taobao. There are three important improvements in TTD3's training process. First, the current actor-network and target actor-network will predict two candidate actions for Virtual Taobao's current state, and the action with a larger value evaluated by the current critic-network is selected as the final execution action. Second, the Ornstein-Uhlenbeck (OU) process is used as the exploration noise to improve the agent's ability to explore Virtual Taobao. Third, prioritized experience replay is adopted to improve sampling efficiency. TTD3 achieves the highest average CTR of about 0.85 in Virtual Taobao which is superior to TD3 as well as DPPO, SAC, and DDPG used by Virtual Taobao's author.
Best Practices for Securing Financial Data and PII in Public Cloud

The financial sector has been one of the more cautious industries when it comes to adoption of new technologies.However, considering the massive benefits and opportunities cloud adoption can potentially provide, financial institutions are now ready to get on to the cloud adoption journey.This introduces a number of challenges for these institutions around storage of sensitive financial data and personal identifiable information (PII) in public cloud.This research reviews the challenges faced by financial institutions in storing their financial data and PII in public cloud infrastructure and aims to derive best practices based on their learnings.Senior stakeholders from large UK organisations were interviewed for collecting details based on their real-life experiences.The learnings are then validated by comparing to the industry best practices.As a result, this paper provides insights into several best practices around storing sensitive data in the public cloud that will further guide other financial institutions adopting the cloud.
Market Efficiency and Volatility Spillover in Bitcoin and Ethereum Prices: Comparisons during the Pre-COVID-19 Period and COVID-19 Pandemic

Purpose &#8211; This study attempts to establish if the markets for the two most popular cryptocurrencies in the world, Bitcoin and Ethereum, follow weak-form market efficiency across various landmarks in time. Design/Methodology/Approach &#8211; Traditional testing for establishing weak-form market efficiency rests on whether the price series exhibits a random walk process, which implies that future prices cannot be predicted. However, not all random walk series automatically imply weak-form market efficiency, since some asset price behaviors may exhibit non-constant variance. In such cases, the GARCH model can be used to test for the presence of market efficiency. Since structural breaks in the prices of both cryptocurrencies are common, tests for market efficiency were carried out using sub-temporal price windows. In both price series, the last time window coincided with the 2020 COVID-19 pandemic period. Findings &#8211; Results of the GARCH analyses showed that the volatility and persistence parameters (α and β, respectively) in the Bitcoin and Ethereum models were all statistically significant, implying that prices in their sub-temporal markets were generally weak-form inefficient. The observed market inefficiency in both cryptocurrencies can be attributed to various factors like the price manipulation of crypto whales, security issues, and increased media attention, which led to inflows of information that helped big investors beat and gain from the market by successfully predicting the trend in future prices. During the 2020 COVID-19 pandemic period, both cryptocurrencies’ prices were observed to rise significantly, similar to the case of the 2017 Bitcoin price bubble. A cointegrating regression between Bitcoin and Ethereum prices during this period, however, showed a spurious relationship. Despite the absence of a long run relationship between these two price series, the current price bubbles in the cryptocurrency markets are speculated to be tied together. Research Implications &#8211; Players in the cryptocurrency market must always be cautious in making investment decisions regarding this type of asset since the markets are generally price inefficient and risky; any idiosyncratic decision that may be triggered by a price bubble burst in one cryptocurrency market may or may not serve as a signal that the other market will do the same. Since the Bitcoin and Ethereum prices were shown to exhibit volatility spillover and persistence, investors can use this information to make informed decisions as to whether to invest in these cryptocurrencies despite the huge risks that are magnified during the COVID-19 pandemic.
LITHOSTRATIGRAPHY OF THE NEWLY PROPOSED MIDDLE CRETACEOUS “BIBAI GROUP”, WESTERN SULAIMAN FOLD-THRUST BELT, PAKISTAN

The newly proposed Middle Cretaceous “Bibai Group”, named after the Bibai peak, is exposed in Kach-Ziarat, Spera Ragha-Chingun areas of the Western Sulaiman Fold-Thrust Belt, Pakistan. It comprises thick succession of the mafic volcanic rocks, volcanic conglomerate, mudstone and sandstone. The stratigraphic nomenclature proposed by previous workers was not clear enough, as they used different names for the succession, such as “Kahan Conglomerate Member” of the Mughal Kot Formation, “Parh-related volcanics” by considering it as part of the “Parh Group, “Bibai Formation” and “Bela Volcanic Group”, which were confusing and misleading. Also previous workers did not realize that the succession may be further classified into distinct mappable lithostratigraphic units and deserved the status of a “Group”. Therefore, we carefully examined and mapped the area and hereby propose the name “Bibai Group” for the overall volcanic and volcaniclastic succession of the Middle Cretaceous age. Based on distinct lithostratigraphic characters we further subdivided the “Group” into two lithostratigraphic units of formation rank, for which we propose the names “Chinjun Volcanics” and “Bibai Formation”. Also based on distinct lithostratigraphic characters we further propose to subdivide our “Babai Formation” into three lithostratigraphic units of member rank, which we named as the “Kahan Conglomerate Member”, “Ahmadun Member” and “Kach Mudstone Member”. In this paper we have defined and briefly described the Bibai Group, its constituent formations and their members. Also we examined and discussed the validity and status of the proposed subdivisions; e.g. formations and members, of the Bibai Group, and are fully satisfied that the proposed subdivisions are appropriate and comply with the Article 24 and 25 of the North American Stratigraphic Codes (2005) and that the previous nomenclatures are inconsistent, confusing and do not comply with the International Stratigraphic Codes.
Pengaruh Media Video Pembelajaran Terhadap Motivasi Belajar Anak Usia 5-6 Tahun

Early childhood learning motivation requires guidance and encouragement from older people as a driving motivator. Learning activities in schools are less innovative and interactive, so learning media is needed to increase children's learning motivation. The purpose of the study was to determine the effect of learning video media on the learning motivation of children aged 5-6 years. This research refers to experimental quantitative research using a nonequivalent control group design model. Data collection techniques using observation instruments, as well as documentation. Data analysis used SPSS 22 with paired samples test. The subject of this research was carried out at RA Asy Syifa for testing the instrument grid with a total of 30 children with the division of RA AR Ar Rahman class RA B as the experimental group totaling 15 children and RA Daarul Mukhlisin class RA B as the control group totaling 15 children. The results showed that the effect of learning video media on experimental group children before getting treatment (pre-test) got an average value of 33.87, and after getting treatment (post-test), the score was 36.80. The use of learning video media has a good influence in increasing the learning motivation of children aged 5-6 years. In addition, computer-based learning videos make children feel happy and interested, developing aspects of child development. The findings of this study contribute to knowledge about the importance of developing learning videos in early childhood education.
An Automated Statechart Diagram Assessment using Semantic and Structural Similarities

The statechart diagram is a behavior diagram in the unified modeling language (UML) diagram.Numerous state chart diagrams are taught in computer science majors.In teaching and learning activities, the assessment process is essential.A teacher is required to be objective in assessing.However, objectivity can be affected by inconsistency and fatigue.Thus, an automatic assessment is very important.Automatic assessments can help teachers save time while assessing answers given by multiple students.By combining semantic and structural similarities, we propose a method to evaluate statechart diagrams automatically.Semantic comparison is conducted based on the lexical information from the states and transitions between the two diagrams.We then use a combination of cosine similarity, Wu palmer, and WordNet to assess the semantic similarity between the two diagrams.The structural assessment is conducted on the basis of the structure of the two diagrams using the greedy graph edit distance.The diagram structure is obtained by translating the diagram into several graphs.The graph is divided into two types of subgraphs, namely intraSim subgraph and interSim subgraph.Further, our results demonstrate that the proposed method agrees well with the state chart diagram assessed by the teacher.The agreement value between the teacher and our proposed method is an almost perfect agreement.In the assessment process, we observe that teachers see the structure of the statechart diagram instead of the lexical of the statechart diagram.
Devising information technology for determining the redundant information content of a digital image

The information technology that implements evaluation of redundant information using the methods of preprocessing and segmentation of digital images has been devised. The metrics for estimating redundant information containing a photo image using the approach based on texture variability were proposed. Using the example of aerial photography data, practical testing and research into the proposed assessment were carried out. Digital images, formed by various optoelectronic facilities, are distorted under the influence of obstacles of various nature. These obstacles complicate both the visual analysis of images by a human and their automatic processing. A solution to the problem can be obtained through preprocessing, which will lead to an increase in the informativeness of digital image data at a general decrease in content. An experimental study of the dependence of image informativeness on the results of overlaying previous filters for processing digital images, depending on the values of parameters of methods, was carried out. It was established that the use of algorithms sliding window analysis can significantly increase the resolution of analysis in the time area while maintaining a fairly high ability in the frequency area. The introduced metrics can be used in problems of computer vision, machine and deep learning, in devising information technologies for image recognition. The prospect is the task of increasing the efficiency of processing the monitoring results by automating the processing of the received data in order to identify informative areas. This will reduce the time of visual data analysis. The introduced metrics can be used in the development of automated systems of air surveillance data recognition.
EVALUATION STUDY OF USING BLOCKCHAIN TECHNOLOGY IN SUPPLY CHAIN MANAGEMENT PROCESSES

Nowadays, processes of information technologies have become important for supply chain management. Also, the supply chain processes become even more complex. In order to solve this complexity, businesses manage supply chain processes with many systems. Blockchain has a number of advantages for not only finance but also supply chain. The aim of this research is to serve a descriptive use case for using blockchain technology in the supply chain processes. In-depth interviews are conducted with supply chain managers and blockchain technology professionals. Architectural design processes of blockchain technology in the supply chain are determined. Lastly, Analytic Hierarchy Process was applied to the main characteristics of blockchain. This study is a descriptive study that serves as a roadmap for firms that want to use blockchain technology in their supply chain processes.
Word Stress in Qassimi Arabic: A Constraint-Based Analysis

This study aimed to produce a formalism of word stress in Qassimi Arabic (QA), which is a sub-dialect of Najdi Arabic (NA), using a constraint-based approach. To this end, this paper investigated two main topics: The first topic explored word stress in QA. Word stress in QA, as well as in NA, is predictable; it can be determined by syllable weight and position. However, two cases do not conform to such straightforward stress rules. These cases are represented by the words: [ʔal.ʕa.sˤir] &amp;lsquo;afternoon&amp;rsquo; and [ʔa.ʕa.rif] &amp;lsquo;I know&amp;rsquo;. Derivational analysis of these exceptions shows the importance of relating the surface structures of such forms to their underlying representations. The second topic aimed to make a formalism for stress patterns in QA using optimality theory (OT). Thus, QA word stress rules and their exceptions are translated into conflicting constraints that are ranked relative to one another by the use of constraint-relation tableaux. This ranking eventually produced the following constraint-relation hierarchy: Lx&amp;asymp;Pr, SYLLABLE-INTEGRITY, TROCHAIC, FAITH-PK &amp;gt;&amp;gt; NONFINAL &amp;gt;&amp;gt; *[ʔa. &amp;gt;&amp;gt; FTBIN-&amp;micro;, WSP, ALL-FEET-RIGHT &amp;gt;&amp;gt; MAIN-RIGHT, PARSE-&amp;sigma;.
A new tool for energy security and secure energy communication

A recently proposed secure communication technique in Refs. [1,2,3] is initially applied to the energy sector. For this, especially the energy sector images which have a secret character for the companies and sectoral institutions have been ciphered and deciphered successfully. The applied tests have proven that the proposed method is fast and secure. The technique, itself, consists of a Kurt-modified Chua’s circuit (KMCC) for the generation of chaotic number sequences. The KMCC is a non-autonomous nonlinear circuit having hyper-chaotic character, thereby two positive Lyapunov exponents can easily make a strong ciphering action. The method is efficient for the images used in energy plants and networks. The algorithm created for the encryption/decryption uses a scrambling feature implemented at the bit level.
IODINE STATUS IN SCHOOL CHILDREN AND DISTRIBUTION OF IODINE, MERCURY, LEAD IN SOIL AND WATER IN THE ENDEMIC GOITER HILL AREA, PONOROGO

Background. Iodine deficiency disorders (IDD) remained a public health problem. Ponorogo was an IDD endemic area with prominent cases of mental retardation. Despite the lack of iodine intake, exposure to environmental heavy metals can exacerbate the effects of iodine deficiency. Objective. To describe iodine status of school children and distribution of environmental iodine and heavy metals including mercury (Hg), lead (Pb), and cadmium (Cd) in the endemic IDD hill area of Ponorogo. Method. This research is a cross-sectional study conducted in two villages in IDD endemic areas in Ponorogo, namely Dayakan and Watubonang villages, in 2011. A total of 127 urine samples of primary-school-age children were taken and analyzed for urinary iodine excretion (UIE). A total of 29 soil samples and 87 water samples were taken from the study site to measure the concentration of iodine and heavy metals Hg, Pb, and Cd. Types of water source, altitude, and land use, both soil and water source were recorded. Results. The median (min-max) UIE was 130 (14 –1187 µg/L) within the range of adequate population iodine intake according to WHO (100-199 µg/L), while the percentage of UIE &lt;100 µg/L was still around 33.07 percent. The concentration of iodine in the soil was 33.777 mg/kg (6.640 –108.809), and the concentration of iodine in the water was 8.0 µg/L (0-49). The concentration of Hg in the soil was 68.64 ppb (7.43–562.05), and the concentration of Hg in the water was 0.00 ppb (0.00-23.24). The concentration of Pb in the soil was 3.273 ppm (0.000–25.227), while Pb was not identified in the water. The Cadmium was not detectable both in the soil and water. Conclusion. Iodine deficiency is still a public health problem in Dayakan and Watubonang villages. The environment of the endemic IDD area in Ponorogo was not completely poor in iodine, but iodine was not evenly spread and mobilized. There was a risk of environmental heavy metal exposure from Hg in the soil or water and Pb in the soil. Mercury in the environment can cause health problems due to the inhibition of the use of iodine in the thyroid gland.
Project as a method of teaching in higher education

The article shows that the main goal of the project method is to provide students with the opportunity to acquire independently knowledge in the process of solving practical problems or problems requiring the integration of knowledge from various subject areas. The teacher in the project is assigned the role of a coordinator, expert, additional source of information At the same time it is underlined that this , practically new technology, is directed to purposeful, generally independent activity of students, carried out under the flexible guidance of a teacher, aimed at solving a communicative research or socially significant professional problem and to obtain a specific result in the form of a material and / or ideal product. Goal. The purpose of the article is to show the importance of using the method of project. The project method in teaching a foreign language in a non-language (technical) university is a didactic means of activating the cognitive activity of future engineers, a method of developing their creativity, which also contributes to the formation of certain personal qualities The main purpose of the project method is to provide students with the opportunity to independently acquire knowledge independently in the process of solving practical problems or problems that require the integration of knowledge from different subject areas. Methodology. Various forms of presentation of educational material within the project method stimulating the development of such qualities of creativity as: and originality of thought, development of ideas, active creative self-development, intellectual independence of students is revealed in the article. Results. The method of projects helps take into account the individual characteristics of students, and it significantly contributes to the development of skills and skills in teamwork, decision-making and presentation in business and professional situations.
Analisis Tata Kelola Teknologi Informasi Untuk Mendefinisikan Arsitektur Informasi Dengan Framework COBIT 4.1 (Studi Kasus Instalasi Rawat Jalan RSUD Prov. NTB)

&#x0D; &#x0D; &#x0D; &#x0D; Treatment for outpatient installations (IRJA) NTB provincial hospitals have used hospital management information systems, but this is still not effective. The information system is not effective because registration centred in the main hall. The centralized registration caused the accumulation of patient queues that occurred in each IRJA polyclinic, and this was due to the absence of an integrated queue number between registrations carried out in the main hall and IRJA polyclinics. Therefore, the governance of information architecture processes needs to be applied to optimize information systems. We use COBIT 4.1 to conduct governance. The aim is to get existing and expected outpatients from Prov. NTB Hospital. So, it can help to manage information architecture to perform quality and competitive outpatient services. The results showed the IT processes selected in PO2 (Determine Information Architecture) and AI4 (Activate and Use). We reach the maturity level of all IT processes at level 3 (the specified process) for conditions as they are and 5 (optimized) for conditions that will occur. The level of maturity can help the NTB Provincial Hospital to improve its services.&#x0D; &#x0D; &#x0D; &#x0D;
Impact of creativity on student entrepreneurial intention

Objective of the study: This empirical research tests the direct and indirect impact of creativity on entrepreneurial intention, by applying the theory of planned behavior (TPB) as the underpinning framework.Methodology/approach: Quantitative research was conducted through a survey of 703 undergraduate students in Vietnam. Structural equation modeling with Amos version 23 was used to test the theoretical model.Originality/Relevance: Creativity is assumed to be a common characteristic of entrepreneurs and a prerequisite for innovation and entrepreneurship, but the findings on the influence of creativity on entrepreneurship intention are inconsistent in literature. This research uses a mediator effect to explain this inconsistency and focuses on the direct and indirect impact of creativity on entrepreneurship intention in an Asian emerging country.Main results: Analytical results show that creativity has no significant direct effect on entrepreneurial intention. Rather, it has an indirect effect on entrepreneurial intention through three determinants (attitude, subjective norms, and behavioral control).Theoretical/methodological contributions: The study provides empirical evidence to confirm the importance of attitude, subjective norms, and behavioral control, which together fully mediate the impact of creativity on entrepreneurial intention.Social/management contributions: These results have several implications for promoting entrepreneurship in university students.