Reviewerly/exHarmony huggingface dataset:
Approach for Developing Business Statistics Using Data Web Usage Mining

Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), a field at the intersection of computer science and statistics is the process that attempts to discover patterns in large data sets.It utilizes methods at the intersection of artificial intelligence, machine learning, statistics, and database systems process of knowledge discovery in databases also known as KDD.Web mining -is the application of data mining techniques to discover patterns from the Web.According to analysis targets, web mining can be divided into three different types, which are Web usage mining, Web content mining and Web structure mining.Predicting of user's browsing behavior is an important technology of E-commerce application.The prediction results can be used for personalization, building proper web site, improving marketing strategy, promotion, customer likes, product supply, getting marketing information, forecasting market trends, changes according to interests, and increasing the competitive strength of enterprises etc. Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Webbased applications.Web usage mining is usually an automated process whereby Web servers collect and report user access patterns in server access logs.The navigation datasets which are sequential in nature.Clustering web data is finding the groups which share common interests and behavior by analyzing the data collected in the web servers, this improves clustering on web data efficiently using proposed robust algorithm.In the proposed work a new technique to enhance the learning capabilities and reduce the computation intensity of a competitive learning multilayered neural network using the K-means clustering algorithm.The proposed model use multi-layered network architecture with a back propagation learning mechanism to discover and analyze useful knowledge from the available Web log data.
Efficient parallel reduction on GPUs with Hipacc

Hipacc is a domain-specific language for ease of programming image processing applications on hardware accelerators such as GPUs. It relieves the burden of manually porting algorithms to hardware for developers with the help of domain- and architecture-specific knowledge. One fundamental operation in image processing is reduction. Global reduction operators are the building blocks of many widely used algorithms, including image normalization, similarity estimation, etc. This paper presents an efficient approach to perform parallel reductions on GPUs with Hipacc. Our proposed approach benefits from the continuous effort of performance and programmability improvement by hardware vendors, for example, by utilizing the latest low-level primitives from Nvidia. Results show our approach achieves a speedup of up to 3.43 over an existing Hipacc implementation with traditional optimization methods, and a speedup of up to 9.02 over an implementation using the Thrust library from Nvidia.
Symbolic Leadership in the Organizational Culture in the Context of Transformation

Put to their definitions in substitution 'leadership', 'strategy', and 'culture' sound almost as the same concepts.One may easily interchange them and get the same understanding directions.Regardless to the sameness and disadvantages of their definitions, these super popular terms obviously engine the production process of different meanings, and lead to different ways of thinking, depending on the space context they are applied to.The meanings engineering lies in the area of symbols, symbols not as artifacts or signs or images, but as the metaphorical spiritual unity of the form and the meaning, connecting the two worlds.Symbol unfolding its primes sense though zero structure to the context of transformation.Our paper explores the ways symbolic can be a part of leadership influence, and symbols place in managing organizational culture.
Success Factors of Social Entrepreneurship: A Case Study of the Russian Far East

When it comes to the social firms' performance, currently there is a huge interest in this issue.Some authors suppose that there is a correlation between human capital and success.Although, the interrelation between human capital and the firm's success is not known yet.Our paper aims to identify the main success factors for the entities working within social entrepreneurship in Primorsky Krai located at the Russian Far East.Particularly we assume that human capital plays an essential role in social entrepreneurship success.However, little is known about human resources aspects of the firms having social impacts.The paper draws on in a precise manner a social firm's success factors in scientific literature generally and social entrepreneurship particularly to clarify gaps.Based on these findings, we formulate the leading success factors of the social entrepreneurship.There is no vital research to be found which establishes the success factors of social entrepreneurship.Human capital theory is the basic framework suggested to be the inclusive framework for social entrepreneurship success.This is proved by our empirical study based on the case method.
Implementation of Structured Object-Oriented Formal Language for Warehouse Management System

Designing process is inseparable from software development. Like other software development processes, designing process faces many problems, such as improper and ambiguous specifications. These problems may be overcome by applying formal engineering methods. One of which is Structured Object-Oriented Formal Language (SOFL). The analysis and formation of the design and implementation of SOFL are carried out as a solution to the problem. The application of SOFL is divided into three parts according to SOFL rules, namely informal specification, semi-formal specification, and formal specification. The design and implementation are measured and tested using rigorous review and maintainability index. This research uses a warehouse management system, a safety-critical system, as a case study. Rigorous analysis shows that SOFL in warehouse management system increases the maintainability index of 56.94%. It means that it is easier to develop.
Human Action Recognition Based on Bag-of-Words

Human action recognition has gained popularity because of its wide applicability, such as in patient monitoring systems, surveillance systems, and a wide diversity of systems that contain interactions between people and electrical devices, including human computer interfaces. The proposed method includes sequential stages of object segmentation, feature extraction, action detection and then action recognition. Effective results of human actions using different features of unconstrained videos was a challenging task due to camera motion, cluttered background, occlusions, complexity of human movements, and variety of same actions performed by distinct subjects. Thus, the proposed method overcomes such problems by using the fusion of features concept for the development of a powerful human action descriptor. This descriptor is modified to create a visual word vocabulary (or codebook) which yields a Bag-of-Words representation. The True Positive Rate (TPR) and False Positive Rate (FPR) measures gave a true indication about the proposed HAR system. The computed Accuracy (Ar) and the Error (misclassification) Rate (Er) reveal the effectiveness of the system with the used dataset.
Training of future teachers for the implementation of continuity of pre-school and primary mathematical education

The article deals with the problem of the future teacher's readiness to implement the continuity of preschool and primary mathematical education. The purpose of the study: to determine the level of training of future teachers to implement mathematical education and to summarize the data obtained during the pedagogical experiment. The standard curriculum of preschool education and training and the curriculum of the 1st grade are analyzed to determine the continuity of mathematical education. The authors developed a diagnostic program that allowed students to identify the level of readiness for the implementation of the continuity of math education. To gather objective information about the possibility of their further development, through the content of pedagogical subjects and elective course "Basics of continuity of preschool and elementary math education", as well as to identify ways to stimulate the desire of the interest of students to assimilate the necessary knowledge and skills in this field.
Speech Oriented Virtual Restaurant Clerk using Web Speech API and Natural Language Processing

Voice interfaces and artificial speech synthesis is revolutionizing the human computer interaction in a multitude of unimaginable ways.Predominantly gaining popularity due to their similarity to human conversation.This technology has also extended its arms to a larger neglected crowd.From placing phone calls and texting their caretakers to unlocking front doors and ordering groceries, virtual assistants are making important steps towards accessible UIs for the masses.Our project explores a specific dimension overcoming the challenges and improving the flexibility with restaurant ordering workflow.We have experimented with a system that acts as a restaurant-clerk and ameliorates the overall customer experience.Through this paper, we have researched various possible speech recognition techniques and picked the most suitable one for our application.The system implements face biometrics, innate food recommenders, and speech recognition algorithms that are deployed through python and web front-end.
Multi-dimensional cubic symmetric block cipher algorithm for encrypting big data

The advanced technology in the internet and social media, communication companies, health care records and cloud computing applications made the data around us increase dramatically every minute and continuously. These renewals big data involve sensitive information such as password, PIN number, credential numbers, secret identifications and etc. which require maintaining with some high secret procedures. The present paper involves proposing a secret multi-dimensional symmetric cipher with six dimensions as a cubic algorithm. The proposed algorithm works with the substitution permutation network (SPN) structure and supports a high processing data rate in six directions. The introduced algorithm includes six symmetry rounds transformations for encryption the plaintext, where each dimension represents an independent algorithm for big data manipulation. The proposed cipher deals with parallel encryption structures of the 128-bit data block for each dimension in order to handle large volumes of data. The submitted cipher compensates for six algorithms working simultaneously each with 128-bit according to various irreducible polynomials of order eight. The round transformation includes four main encryption stages where each stage with a cubic form of six dimensions.
Deksripsi kesesuaian usia kronologis dan usia dentalis melalui estimasi pertumbuhan ujung akar gigi premolar

Objectives: The purpose of this study was to find out the description of chronological age and dental age suitability through estimation of root growth of maxillary and mandibular premolar teeth. &#x0D; Material and Methods: This study was a descriptive study with cross-sectional approach performed on the maxillary and mandibular first and second premolars. Data was taken from 50 panoramic radiographs contained in the 2015-2016 RSGM Unpad archives. Analyzes were performed based on age predictions from the Demirjian table compared to chronological ages in several age groups. The data is then presented in tabular form. &#x0D; Results: This study shows that there is a high degree of concordance between chronological age and dental age through premolars 1 and 2, both upper and lower jaws of the Demirjian table in the initial phase of tooth root formation at 8 years chronological age and at the final phase of root apex closure at 12-13 years chronological age through the assessment of panoramic radiograph. &#x0D; Conclusion: Chronological age and dental age depend on the precise assessment of root growth of premolar 1 and 2 teeth in the maxillary and mandibular regions having a high degree of suitability in the early and final phases of tooth root formation which are seen more radiographically.&#x0D;
The Contribution of Reading Motivation in Social Collaboration Dimension to Students' Reading Comprehension

This research aimed to analyze the contribution of reading motivation in social collaboration dimension to students' reading comprehension.Reading motivation is conceptualized as "the individual's goals, values, and beliefs with regard to the topics, processes, and outcomes of reading" (Guthrie & Wigfield, [15], p. 405).Social Collaboration is one of the dimensions of reading motivation that can support students in reading comprehension.The method of this research was quantitative by applying a random sampling technique (120 samples) from 300 students of Muhammadiyah Makassar University, Indonesia.The data were collected using the questionnaire of Motivation Reading Questionnaire (MRQ), and assessment.The result revealed that there was a positive effect on students' reading motivation toward social collaboration dimension.It also can be indicated that reading motivation contributes to their learning outcome.Social collaboration showed indicator construction with value 0.22²=0.04.It can also be revealed that reading motivation builds social collaboration dimension which supports or give a positive contribution toward the motivation itself toward the students' reading comprehension
Application of Block Chain Technology in Constructing Network Threat Intelligence System

At present, the threat situation in cyberspace is more and more serious, and there are many attack methods in cyberspace. It is urgent to build a healthy and efficient cyber threat intelligence ecosystem. At the same time, strengthening the cooperation and mutual assistance of various information systems and creating a widely Shared and fully interconnected information sharing environment can maximize the value of threat intelligence and improve the capabilities of threat detection and emergency response of all parties. However, it is easy for many researchers and organizations to conduct intelligence collection in their own way to form information islands, which limits the active flow of information among organizations. In recent years, block chain has attracted extensive attention in the field of distributed records and immutable transactions. In this paper, a network threat intelligence sharing platform based on block chain technology is built based on the characteristics of block chain. Through our experiments, the network threat intelligence system based on block chain technology proposed in this paper can collect more diversified and larger quantities of network data under the condition of ensuring security and privacy, and improve the efficiency of sharing network threat intelligence data across organizations.
Unsupervised Detection of Changes in Usage-Phases of a Mobile App

Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing. Recent developments in various machine learning techniques have made automated app testing a promising alternative to manual testing. This work proposes novel approaches for one of the core functionalities of automated app testing: the detection of changes in usage-phases of a mobile app. Because of the flexibility of app development languages and the lack of standards, each mobile app is very different from other apps. Furthermore, the graphical user interfaces for similar functionalities are rarely consistent or similar. Thus, we propose methods detecting usage-phase changes through object recognition and metrics utilizing graphs and generative models. Contrary to the existing change detection methods requiring learning models, the proposed methods eliminate the burden of training models. This elimination of training is suitable for mobile app testing whose typical usage-phase is composed of less than 10 screenshots. Our experimental results on commercial mobile apps show promising improvement over the state-of-the-practice method based on SIFT (scale-invariant feature transform).
Diminution of factual power loss by enhanced bacterial foraging optimization algorithm

&lt;div data-canvas-width="126.37004132231402"&gt;This paper presents an enhanced bacterial foraging optimization (EBFO) algorithm for solving the optimal reactive power problem. Bacterial foraging optimization is based on foraging behaviour of &lt;em&gt;Escherichia coli&lt;/em&gt; bacteria which present in the human intestine. Bacteria have inclination to congregate the nutrient-rich areas by an action called as Chemo taxis. The bacterial foraging process consists of four chronological methods i.e. chemo taxis, swarming and reproduction and elimination-dispersal. In this work rotation angle adaptively and incessantly modernized, which augment the diversity of the population and progress the global search capability. The quantum rotation gate is utilized for chemo taxis to modernize the state of chromosome projected EBFO algorithm has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss extensively.&lt;/div&gt;
Exploiting Security Dependence for Conditional Speculation Against Spectre Attacks

Speculative execution side-channel vulnerabilities such as Spectre reveal that conventional architecture designs lack security consideration.This article proposes a software transparent defense framework, named as Conditional Speculation, against Spectre vulnerabilities found on traditional out-of-order microprocessors.It introduces the concept of security dependence to mark speculative memory instructions which could leak information with potential security risks.More specifically, security-dependent instructions are detected and marked with suspect speculation flags in the Issue Queue.All the instructions can be speculatively issued for execution in accordance with the classic out-of-order pipeline.For those instructions with suspect speculation flags, they are considered as safe instructions if their speculative execution dose not refill new cache lines with unauthorized privilege data.Otherwise, they are considered as unsafe instructions and thus not allowed to execute speculatively.To pursue a balance of performance and security, we investigate two filtering mechanisms, Cache-hit-based Hazard Filter and Trusted Page Buffer-based Hazard Filter to filter out false security hazards.As for true security hazards, we have two approaches to prevent them from changing cache states.One is to block all unsafe access, the other is to fetch them from lower-level caches or memory to a speculative buffer temporarily, and refill them after confirming that they are on the correct execution path.Our design philosophy is to speculatively execute safe instructions to maintain the performance benefits of out-of-order execution while delaying the cache updates for speculative execution of unsafe instructions for security consideration.We evaluate Conditional Speculation in terms of performance, security, and area.The experimental results show that the hardware overhead is marginal and the performance overhead is minimal.
N. K. Metner – Reflecting Artist: Composer, Pianist, Teacher

The article is devoted to understanding the role of reflection in the multifaceted activities by Nikolai Karlovich Metner, a remarkable composer, an outstanding pianist of the 20th century, an originally thinking philosopher. We analyze the relationship of creative reflection, reflected in his literary heritage, with the author’s performing interpretations. The organic connection between the Master of composer’s thinking and performance style in the creative process is revealed. The following aspects are considered: reflection in Metner’s performance of the main composer goals and features of the composition process; the relationship of the performing style and aesthetic positions of the musician in matters of piano art. According to the author of the article, reflection as the most important feature of N. K. Metner’s creative consciousness is included in the process of composing and performing music the “dialogue with oneself” is part of the artistic image of the works that he creates, and the essence of his interpretative intentions. A holistic understanding of the art of interpretation and reflection by Metner-composer and pianist can give a key to understanding the characteristic features of his unique manner of performance, and allow us to feel the continuation of the creative process of composing music in it. It is concluded that the study of the reflexive processes by N. K. Metner in his philosophical and methodological works helps modern teachers to realize the most important professional tasks: to teach young musicians to think critically, to pose essential questions, to find their own strategies for mastering the artistic content of the studied works, and analyze their own performing experience in detail.
Sedimentology and maturity of Ajali formation, Benin flank Anambra basin, Nigeria

The Ajali Sandstone, western flank, Anambra Basin, was studied for textural characteristics and maturity of the sediments. Grain size analysis (51 samples), thin section and heavy mineral analysis (15 samples each) and XRF fusion for metallic oxides (15 samples) were analyzed. The textural parameters show that the Ajali Sandstone are medium sand, poorly to moderately sorted, coarse to strongly coarse skewed with mesokurtic to leptokurtic grains. The thin section analysis reveals grains that are sub-angular to sub-rounded (this typifies grains that have travelled fairly long distance to the deposition site), of moderate to well sorted grains, with both monocrystalline and polycrystalline quarts-grains type, with a modal composition of Q F and L . A mineralogical maturity 90.4, 2.3 2.9 index (MMI) of 17.04, SiO /Al O ratio of 180.24, and a ZTR index of 67.96% were obtained. The values for the 2 2 3 MMI and SiO /Al O indicates mineralogical matured sediments, the ZTR index shows a chemically immature 2 2 3 to sub-mature sandstone, and the modal composition values are consistent with a texturally and compositionally matured sands. The mineralogical maturity is indicative of high degree of chemical weathering of source area. Furthermore, the high quartz and silica content make the sandstone prospective for glass and glassware production.&#x0D; Key words: Anambra Basin, Maturity, Mineralogical maturity index, Textural characteristics, Glass
Online Multilingualism in African Written Conversations

The objective of this research is to analyse current written practices within the global South. Specifically, we examine language mixing phenomena in written online texts publicly displayed on the official Facebook page of one of the two most important football players in the history of Cameroon, Samuel Eto’o. By means of a quantitative and languaging analysis proposed by Androutsopoulos (2014), we see that indigenous Cameroonian languages are now being written in public spaces. Instances of lexical items in these languages are sometimes inserted in Facebook comments to establish local/national identity, to emphasise the fact that the player is a Cameroonian. However, Cameroonian national identity still is usually constructed through the exclusive use of English and French. Interestingly, the study shows that code-switching (CS) to a particular language may function as a distancing technique, an impoliteness strategy towards the player.