Reviewerly/exHarmony huggingface dataset:
A Study on Designing the process and competitive optimization models of Procurement Auction

Purpose This study is about to establish standards for process design and operation of procurement auction, which is one of the ways to effectively determine the price with the vendor in the procurement. Methods The method of research was selected as a case company in which various forms of procurement are carried out. In the process design of procurement auction, We derived from RCA method how to improve the constraints for evaluating multiple attributes. In order to establish the operating standards for procurement auction, 720 cases of approximately 3.5 years were tested through statistical analysis and based on this, the operating standards for procurement auctions were proposed. Results This study shows, The design of the procurement auction using Fishbone Diagram was able to expand the bid by mitigating the avoidance factor of multi-attribute evaluation, and the results of completion inspection can be analyzed to confirm its. Procurement auction is an advantageous method of price determination compared to negotiated pricing in cases where the order amount is large and it is difficult for the person in charge to calculate the expected price. An analysis of the winning price of new companies showed that new companies are challengingly offering prices and that such competitiveness continues for two to three years. In addition, it was analyzed that the bid reaches a stable and reliable bid price when there are more than four bidders participants. Conclusion The results illustrate, this study proposed a multi-attribute assessment process design method for procurement auction and defined criteria that could be effective in bidding operation, such as number of participants, sourcing new companies, and improving expected price estimation capability.
Message (Text) Extraction System from Noisy-Image Regions Using Morphological Dialation Technique in Forensics Investigation﻿

In cyber/forensics investigation, it was observed that there is a need to extract text/messages from scene images especially from a noisy-image zones/regions, hence the attention was drawn to study text detection and recognition in natural images using computer vision systems. Text detection and recognition in natural images has applications in computer vision systems like image retrieval, registration plate number detection, automatic traffic sign detection, could be of help for visually impaired people. Scene text, however, has complicated background, blur image, partly occluded text, variations in font-styles, image noise and ranging illumination. Hence scene text recognition could be a difficult computer vision problem. In the previous works, paper connected component method is used to extract the text from background. In this work, horizontal and vertical projection profiles, geometric properties of text, image binirization and gap filling method has been used to extract the text from scene images while the morphological dilation method was introduce to separate text background of the images. precision rate and recall rate of the proposed methodand that of the other existing methods were compared and discovered that the performance of our proposed method is excellent overall according to the result of the metrics variables.Therefore, the proposed method is proved to be efficient for extracting the text/messages from the outdoor scene images.Finally text is extracted from images for optimal result.
Get a Life: Fast and Furious Cataloging for the Overworked and Underutilized School Librarian

This workshop and paper is intended to give participants an idea of the types of services currently being offered. The products and services listed here are done so for the participants' information and ease of follow up in collecting information about what their needs are. The author has no links with any of these companies and by their inclusion is not recommending any of them in particular. By the dynamic nature of the Internet, web sites will change and even though the author has checked the websites listed before publication, there is no guarantee they will be the same when you visit them.
GAN-based Complex Semantics Augmented Heterogeneous Information Network Embedding

Heterogeneous information network (HIN) embedding is fundamental but extremely challenging because of the existence of various types of nodes and links. Expressive metagraphs are at the core of HIN embedding methods seeking to match the desired semantics; however, they are typically expensive to obtain and have a high risk of missing meaningful paths among nodes. Instead of heavily relying on domain knowledge to enumerate metagraphs among exponential numbers of potential metagraphs, we propose a novel representation learning model that mines the complex semantics underlying HINs. First, a set of meaningful metagraphs are first constructed to model the core semantic relations. Then, we generate semantic sequences via random walks, which are guided by metagraphs. A complex semantic augmented method is suggested to concatenate sequences with shared nodes for capturing semantic paths between distant nodes, which is hard to extract at the level of metapaths and easily fail to mine without domain knowledge. A pretraining and fine-tuning framework employing adversarial learning that generates semantic-preserving and robust representations, with semantically augmented paths reflecting long-distant correlations of multiple types of nodes, is investigated. We conduct the experiments on a real-life HIN, and the results show that our model performs better than the state-of-the-art alternatives.
Development of android-based digital determination key application (e-KeyPlant) as learning media for plant identification

Abstract The background of this research was the limitation of interactive multimedia for identifying the plants. One method for identifications is using a determination key that contains statements between two alternative choices and then followed by a further choice that will ultimately lead to the level of the taxonomy. However, the available key determinations are based on websites which can only be accessed if the internet is available and only in English, Belgian and Korean. This research produce an interactive multimedia application (e-KeyPlant) as a media for identifying seed plants. The method used was ADDIE (Analyze, Design, Develop, Implement, Evaluate) approach. The population was oppinion of e-KeyPlant involved 50 respondents (biology lecturers, graduate students, undergraduate students, laboratory assistants majoring in biology education and biology teachers). The data obtained was a quantitative data from the results of validation, questionnaire responses to satisfaction of the application used. Validation by experts on the application resulted in an average value of 89,74% (content) and 83,06% (design). This study concludes that the e-KeyPlant application can be used as a learning media for identifying seed plants and suitable for use in learning.
The Development of the Graduate Student’s Thesis and Individual Study Progress Tracking System, NakhonSawanRajabhat University

Abstract The purposes of this research were 1) to develop the graduate student’s thesis and individual study progress tracking system, 2) to trial test the graduate student’s thesis and individual study progress tracking system, and 3) to examine the graduate students and lecturers’ satisfaction toward the usage of graduate student’s thesis and individual study progress tracking system. The research subjects were 25 lecturers in charge of graduate curriculum and lecturers of the graduate curriculum; 5 persons from 5 curriculums selected using simple random sampling and 30 graduate students in the process of conducting thesis and individual research who willing to trial the system. There were 3 research instruments namely; 1) the opinion survey form on the operation of thesis and individual research progress tracking system 2) the quality assessment form of the progress tracking system for expert, and 3) the satisfaction questionnaire on the usage of the graduate student's thesis and individual research progress tracking system after trial test. Data were analyzed using standard statistics namely, mean, standard deviation, and content analysis. The research found that 1) the graduate student's thesis and individual individual study progress tracking system consists of 3 parts of the operating system as follows 1.1) student's basic information part 1.2) identification of steps and operation condition part 1.3) student’s current status part 1.4) indication statement of the operation that the student must acquire at each period.2) the trial test of the graduate student’s thesis and individual study progress tracking system found that the system can accurately demonstrate student's overall operation and 3) graduate students and lecturers' satisfaction toward the usage of graduate student's thesis and individual study progress tracking system at the highest level (
Decision Support System For Determination Of Students Prakerin Places In SMK Negeri 3 Bogor Using Profile Matching Method

Decision Support System for determining the location of Industrial Work Practices (Prakerin) students using the profile matching method is a decision support system created to make it easy for the Chair of Expertise Competency (Kakomli) to match students and the Business / Industrial World (DU/DI) who have collaborated with the school in determining the appropriate Prakerin premises. Computer and Network Engineering (TKJ) Competency Competency at SMK Negeri 3 Bogor is the object of research related to the Prakerin planning activities for TKJ students who will implement it in semester 4 or class XI (eleven), which is matching student competencies and the needs of the Business World / Industrial World ( DU/DI) where Internship is implemented by applying the profile matching method. The system development method used in this study uses the SDLC (System Development Life Cycle) waterfall model with stages ranging from analysis, design (design), implementation (coding), to testing. The result of this study is a decision support system for determining the place of internship of web-based students using a profile matching method in the form of student ranking based on the level of suitability of the value of criteria owned by students with the value criteria required by DU/DI to be placed and used as recommendations for decision making. With this decision support system, it can help provide choices in determining the location of the TKJ students by the competencies of each TKJ student and the needs of each appropriate Business World / Industrial World (DU/DI) accurately and quickly.
AN INTELLIGENT BREAST CANCER DIAGNOSIS USING DEEPSEGMENTATION BASED ALEXNET WITH RANDOM FORESTCLASSIFICATION MODEL

Breast cancer is treated as an important health issue among women globally. When the abnormalities in breast cancer areidentified in the earlier stage, the survival rate can be considerably increased. Mammogram is treated as a proficient andwidely employed model to detect and screen breast cancer. Deep learning (DL) models can be used by the radiology expertsto make a precise diagnosis and helps to attain enhanced predictive outcome. This study proposes a novel deep segmentationbased AlexNet with Random Forest (RF) model called DS-ANRF to detect and classify the existence of breast cancer frommammogram images. The presented DS-ANRF model comprises four processes including namely preprocessing, FasterRegion based Convolution Neural Network (R-CNN) (Faster R-CNN) with Inception v2 model based segmentation, AlexNetbased feature extraction and RF based classification. A comprehensive simulation process takes place and the goodness of theDS-ANRF model is validated using Mini-MIAS dataset. The experimentation outcome ensured the outstanding performanceof the DS-ANRF model over the compared methods.
Toward Higher Laws: Henry David Thoreau’s Concept of Animal Rights in Walden

Though living in the age of Industrialization when the concept of anthropocentricism was prevalent and not a hardcore vegetarian, Thoreau challenged the anthropocentric view of human being’s condescending superiority over animals in Walden. Not only does Thoreau view non-human animals as subjects possessing their own consciousness and sentience, he also regards a consummation of one’s spirituality involves admitting and understanding of one’s inner animality so as to inhibit his savage instinct to hunt or kill animals for food, on the grounds that animals are sentient to feel pain and sufferings and animal food is both unclean and degenerated. Therefore, Thoreau’s humanity to non-human animals inspires and will inspire his modern readers to show more respect for non-human animals and lead them to aspire for a higher stage in their spiritual development. It is in this sense that Thoreau’s concept of animal rights in Walden shakes the solid foundation of anthropocentricism and approximates, if not pioneers, the modern concept of animal rights.
Towards the Consolidation of Cybersecurity Standardized Definitions

This work has been developed under the project Digital Knowledge Graph – Adaptable Analytics API with the financial support of Accenture LTD.
Transformations of Literacy in Internet Communication

The article considers the influence of computer literacy on linguistic literacy. The article describes the typical transformations of literacy for Internet communication, identifies their causes, the attitude of Internet communicants to language norms and deviations from the traditional rules of writing. Using the results of a survey of Philology students, violations of language norms in Internet-mediated dialogues are evaluated from a linguodidactic point of view.
Edge computing enabled services identification algorithm of elastic optical networks

As internet services newly emerge with real-time and fine-granularity QoS demands, great challenges are presented to the Elastic Optical Networks (EON) to satisfy diverted requirements of services. An edge computing enabled services identification scheme of EONs is proposed in this article, where the edge computing model is built and an Edge-Computing Echo-State-Network (EC-ESN) is also presented. This EC-ESN is able to transform the numerical output into the probabilistic one to determine the QoS strategy of EON. Moreover, the implement approach of the proposed service identification scheme is also depicted. Test results show that the edge computing enabled service identification algorithm can greatly enhance the matching degree between services and EON.
CONCEPTUAL PRINCIPLES OF OPEN EDUCATION

The paper analyzes the essential characteristics of open education, as the global educational system and determines its tendencies in present conditions; discovers the reasons that influenced upon the process of development of open education. The notion «open education» is treated by foreign scientists differently. For example T. Iiyosh, D. Wiley consider open education as a learning system based on open educational resources and open technologies that provide learning with flexibility and opportunities for open exchange of teaching practices, as well as include new approaches to assessment, accreditation and collaborative learning. The study of the concept of «open education» as a learning system that encompasses resources, tools and methods is presented in the work of G. Siemens. G. Tleuzhanova and A. Khamzina consider this phenomenon as a synergetic system capable of self-development and further interaction with the environment. Therefore it was defined that open education flourished in the results of definite changes of society such as the process of integration, democratization and informatisation of society. Open education with its following characteristics as accessibility, parallelity, modulation, internationalization and coordination and with the usage of new technologies of education gives the opportunity to every person to get the education without data of place of his residence, age, nationality, physical condition. The analyze of scientific literature let us to determine the leading tasks of open education: provide the listeners with the means of access to educational materials; organize the management of educational process which gives the opportunity to inform society about educational questions and raise the effective managing of educational system; raise the level of education and educational services; provide the continual renewing of educational means and technologies for the listeners of open education.
Influence of Parents’ Background towards Their Children Education

The aims of this research are to find out the number drop out students and to find out the cause factors of drop out students in SMPN 2 Lembo. Located of the research is 5 village area in SMPN 2 Lembo. Method used in this research is qualitative descriptive method, that is to collect data in the form of direct interview. Researcher in collecting data, first the research take data from school to find out data drop out students and direct interview of parents to find out it cause factors. Result of the interview, then so recorded. After that, the researcher write result interview to can identifying. As result from research, found there are 35 students SMPN 2 Lembo which drop out. The cause factors are: 1). Parents economic background, 2). Own decision, 3). Marriage demand and, 4). Learning incapability. Keywords: Parent’s background, children education
A Novel Fast Searching Algorithm Based on Least Square Regression

Currently, the machine learning group is well-understood and commonly used for predictive modelling and feature generation through linear methodologies such as reversals, principal analysis and canonical correlation analyses. All these approaches are typically intended to capture fascinating subspaces in the original space of high dimensions. These methods have all a closed-form approach because of its simple linear structures, which makes estimation and theoretical analysis for small datasets very straightforward. However, it is very common for a data set to have millions or trillions of samples and features in modern machine learning problems. We deal with the problem of fast estimation from large volumes of data for ordinary squares. The search operation is a very important operation and it is useful in many applications. Some applications when the data set size is large, the linear search takes the time which is proportional to the size of the data set. Binary search and interpolation search performs good for the search of elements in the data set in O(logn) and ⋅O(log(⋅logn)) respectively in the worst case. Now, in this paper, an effort is made to develop a novel fast searching algorithm based on the least square regression curve fitting method. The algorithm is implemented and its execution results are analyzed and compared with binary search and interpolation search performance. The proposed model is compared with the traditional methods and the proposed fast searching algorithm exhibits better performance than the traditional models.
Machines and cockatoos are learning new moves

What should we do with our hands? Mark Kubinec has taught intro chemistry to tens of thousands of students with his online videos for the University of California, Berkeley. Now he can add at least one computer algorithm to his list of trainees, too. Kubinec (shown) joined a star-studded cast in helping a machine-learning algorithm study—and then predict—how people gesture while they speak (arXiv 2019, arXiv: 1906.04160). Comedians John Oliver, Conan O’Brien, and Ellen DeGeneres also lent a hand. Or, more accurately, visual data points corresponding to their hands, necks, wrists, elbows, and shoulders. The key similarity between these subjects is that they all have hours of online video footage showing them mostly still, save for their gestures. This allowed the algorithm to study those gestures relative to each person’s audio. Then, when given a new audio clip from a subject, the algorithm could predict how that person might move.
Проблема формування студента-гуманіста в умовах діджеталізації освітнього середовища

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
International Management and Sustainable Profitability: First Bank of Nigeria Perspective

At the early stages the area now known as Nigeria was an agricultural economy which aroused the interest of early British it’s in Nigeria’s palm produce, cocoa, groundnuts, rubber and others that were shipped to Liverpool and returned to the country as finished goods. The British governments philosophy of dual mandate encouraged the Royal Niger Company with power to administer, make treaties, charge customs dues and carry on trade in all territories in the basin of the Niger River and it’s affluent. Ahead of the withdrawal of the Charter by the British government in 1900, British business people like Jones sought for an alternative platform to promote trade between British and the area now known as Nigeria by the establishment of BBWA on March 31, 1894, with its head office in Liverpool. The bank now known as FBN has passed through the rigours of effective international management in the past 125 years and remains one of the most profitable banking enterprises on the African Continent. In the process of international management the bank produced great managers including Mr. John Major who worked at Jos Main Branch in Nigeria and later became the Prime Minister of Great Britain. 115 people participated in the study conducted through the exploratory research design. Data gathered were analyzed through the descriptive and regression statistical methods and the result showed positive correlation between international management and sustainable profitability. However, further research could be conducted to supplement the present effort including an examination of the relationship between shareholders, worth and profit before taxation in public companies in Nigeria. On the basis of the result of the study it was a recommendation that companies seeking to play in the international environment must ensure that they have competent managers to drive organizational goals.