Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF AN INFORMATION APPLICATION OF AN ONLINE EXCHANGE OFFICE FOR CRYPTOCURRENCY

The emergence of cryptocurrency in the modern world has radically changed the attitude of investors to many financial instruments and assets. Bitcoin managed to earn a lot of amazing capitals, and today many people are striving to get into this trend. An excellent solution for automating the workflow with small amounts of money has become an online exchanger. This article discusses a program developed by the authors for currency exchange, money conversion. The program created for this work uses MD5 hashing algorithm. The main purpose of this study is to implement a complete control of the financial activity of the foreign exchange bureau, as well as to provide electronic accounting of receipts and expenditures. The main advantage of this currency exchange program is that it helps limit the potential losses caused by currency fluctuations.
CAPITAL LETTERS OF THE "FLOWER TRIOD" OF 1631

It is difficult to imagine our word without a book. It accompanies a person throughout life and is a valuable source of knowledge and information. The masters of Ukrainian printed books have written a bright page in the history of national culture and book heritage. They have created editions that are true artistic masterpieces – with their unique shape, the special beauty of Cyrillic fonts, engravings, screensavers, endings, capital letters and other design elements. The printing house of the Kiev-Pechersk Lavra has published many liturgical books, among which a special place is occupied by the «Flower Triod», dated June 1, 1631. This is the first edition of the «Flower Triod» in Ukraine and today it is one of the rare editions. The book was published at a time when the Archimandrite of the Lavra was St. Petro Mohyla, who contributed to the development of book printing, education and paid great attention to providing national features for the printing house. The «Flower Triod» is an extremely luxurious publication that contains many ornaments and wonderful engravings. It contains many capital letters of various sizes and artistic incarnations. There are about 150 different capital letters, mostly red, one – black. This article briefly described the investigation of the capital letters of the valuable edition of the printing house of the Holy Dormition Kiev-Pechersk Lavra «Flower Triod» of 1631, one copy of which is now stored in the collection of old prints of the Volyn Orthodox Theological Academy. Analysis showed that the two types of capital letters are observed in this valuable edition: letters covered with ornaments and letters with ornamental-plot compositions. Rich and varied themes, iconography, compositional and artistic and stylistic features of miniatures-illustrations of capital letters, their placement on the pages of the book, etc. open many new opportunities for the researcher of the art of books, which in turn will complement the glorious history of Ukrainian printing and book heritage.
The Use of Whatsapp for Online Learning among Malaysian Students

Generally, WhatsApp is a social media application that connects people from all around the world.It has become trendy amongst users for all sorts of purposes including for online learning.The aim of this study is to investigate the use of WhatsApp for online learning among Malaysian students.Specifically, the study will focus on the reasons why WhatsApp has become a popular learning tool among Malaysian students, the benefits of using WhatsApp for online learning and the challenges faced in doing so.A hundred students were used as respondents for the study from a local university in this quantitative study.The results show that WhatsApp popularity is attributed to motivation to use by teachers, friends, and the surroundings of students as well as WhatsApp easy to use features.Furthermore, it was found that students found WhatsApp beneficial in locating information for tasks and connecting with peers.The challenge for WhatsApp usage was mainly found in the video and live video conferencing features which had limitations for this App for online learning.It is thus recommended that the usage of WhatsApp should be for short discussions rather than long lectures and video recordings.
A Vertex-extension based Algorithm for Frequent Pattern Mining from Graph Databases

Frequent pattern mining is a core problem in data mining. Algorithms for frequent pattern mining have been proposed for itemsets, sequences, and graphs. However, existing graph mining frameworks follow an edge-growth approach to building patterns which limits many applications. Motivated by real-life problems, in this work, we define a novel graph mining framework that incorporates vertex-based extensions along with the edge-growth approach. We also propose an efficient algorithm for mining frequent subgraphs. To deal with the exploding search space, we introduce a canonical labeling technique for isomorphic candidates as well as downward closure property-based search space pruning. We present an experimental analysis of our algorithm on real-life benchmark graph datasets to demonstrate the performance in terms of runtime. DUJASE Vol. 7(1) 58-65, 2022 (January)
Intelligent Penetration and Attack Simulation System Based on Attack Chain

Vulnerability assessment is an important process for network security. However, most commonly used vulnerability assessment methods still rely on expert experience or rule-based automated scripts, which are difficult to meet the security requirements of increasingly complex network environment. In recent years, although scientists and engineers have made great progress on artificial intelligence in both theory and practice, it is a challenging to manufacture a mature high-quality intelligent products in the field of network security, especially in penetration testing based vulnerability assessment for enterprises. Therefore, in order to realize the intelligent penetration testing, Vul.AI with its rich experience in cyber attack and defense for many years has designed and developed a set of intelligent penetration and attack simulation system Ai.Scan, which is based on attack chain, knowledge graph and related evaluation algorithms. In this paper, the realization principle, main functions and application scenarios of Ai.Scan are introduced in detail.
E-Commerce Customer Satisfaction Analysis On Microblogs

Technology influences various things in people's lives, ranging from socialization to shopping behaviour, and hence marketplace inevitably appears as a part of e-commerce concepts. Opinions related to shopping activities are thus interesting for further research. This paper investigates the appropriate methods for analyzing e-commerce customer satisfaction. The research was conducted by compiling aspects of customer satisfaction and then by determining the appropriate lexicon method for sentiment analysis. A dataset containing 88,816 tweets was drawn from Twitter microblogs with a predefined set of keywords related to 5 e-commerce organizers. To analyze the data in a fine-grained manner, we also propose six aspects of customer satisfaction obtained from literature studies. Then we use the WordCloud visualization technique and topic modelling to get 73 keywords to categorize tweets into aspects. Our experiments carried out two scenarios: Scenario 1 compares several opinionated dictionaries, while Scenario 2 compares different approaches for computing sentiment scores. The application produces an appropriate method using Scenario 1 with an accuracy of 0.54. Scenario 2 produces the highest accuracy is 0.46. The application of the lexicon-based (or dictionary-based) method to sentiment analysis results that throughout e-commerce in every aspect, it has dominant positive sentiment, and the most dominant aspect throughout and in every e-commerce is the "product" aspect.
Utilizing quantum genetic algorithm with TM to solve DEs

In this paper a proposed approach to solve the DEs utilizing the TM with quantum Genetic algorithms.The aim of the proposed approach is to use the series functions of form quantum genetic to solve the DEs by decreasing the number of iterations and more increase by utilizing automata more with enhancement of TM.
Current topics of interdisciplinary cooperation between engineering and human sciences

Abstract In this article, we highlight current research directions in the Technikpsychologie research area, using the example of the interdisciplinary research work of FAI (Work and Engineering Psychology Research Group at the Technical University of Darmstadt) and the articles included in this special issue. To this end, we relate the articles in this special issue from the research areas of road traffic planning (Hupfer et al.), usable IT security and privacy solutions (Renaud), social aspects of technically mediated communication (Diefenbach), human-centered interface design (Mucha et al.), aviation safety (Santel), human-centered design of autonomous vehicles (Lindner &amp; Stoll), and perceptual psychology-oriented product design (Zandi &amp; Khanh) to current research projects at FAI. Practical Relevance Technical products only offer added value by efficiently supporting users in achieving their goals if they have been developed appropriately for the context of use and the individual characteristics of the users. The human-centered design of—especially technical—products reflects this through an iterative and participatory development process. In this article, we describe nine examples of such human-centered design of technology products. The research results and the methods presented provide insights for developers and decision-makers in the fields of transportation, IT, vehicle development and general product design.
Ọdịgbo Metaheuristic Optimization Algorithm for Computation of Real-Parameters and Engineering Design Optimization

This paper proposes a new population-based global optimization algorithm, Ọdịgbo Metaheuristic Optimization Algorithm–ỌMOA, for solving complex bounded-constraint/single objective real-parameter problems found in most engineering and scientific applications. It’s inspired by the human socio-cultural informal discipleship learning pattern inherent in the behavior of the Ndịgbo peoples; the subject – primary (Nwa-ahịa), in mercantile cycle grows to a secondary (Mazi) owing to the intuitive stratagem (dialect - Ịgba) embedded in an aged-long cultural model “Ịgba-ọsọ-ahịa” (meaning, strategic marketing skills, and practice). The model mimics the search routine for satisfying a customer’s need in the market, built into exploration and exploitation applied in the mathematical model. About 30 complex classical unconstrained functions are tested, comparing results with that of five similar state-of-the-art algorithms. Also, 29 CEC-2017 single objective real constraint benchmark serious dimensional problems were simulated and compared against the winners of that competition. Validation includes statistical (t-test, p-value) comparison and for 50 Dimension constraint problems as ỌMOA demonstrated superior performance. TCS (9.18%), WBP (6.3%), PVDP (601%), RGP (319%), RBP (760%), GTCD (202%), HIMMELBLAU (4%), and CDP (88.12%) are the improvements made on 8 CEC-2020 engineering real design problems against the former best performances; OMOA is simple to implement, replicate and applicable across domains. Also, some new, improved optimum was obtained in Shubert and Schaffer 4 function compared to the global optimums.
An Improved Ant Colony Algorithm for Virtual Resource Scheduling in Cloud Computing

In order to solve the problems of uneven spatial distribution of data nodes and unclear weight relationship of virtual scheduling features in cloud computing platform, a virtual resource scheduling method based on improved ant colony algorithm is studied and designed to improve the performance of virtual resource scheduling in cloud computing platform by this method.After analyzing the information resource sequence change of the cloud computing platform, according to the STR -Tree partition graph, a simulated annealing-based algorithm is employed to classify the resource types after optimal scheduling into IO types, middle types and CPU types, and the time span and load balance are set as the measurement indexes.The simulation results show that after applying this method, the occupied resources of the main platform are 535 MB, which are much lower than the other two comparison algorithms, and the method has improved the allocation rationality, resource balance, maximum queue length and energy consumption.This result indicates that applying this virtual resource scheduling method can effectively improve the intelligent scheduling of virtual resources in the cloud computing platform.
Evaluation of Thresholds for White Blood Cell Specific Flags on Sysmex XN 1000 Hematology Analyzer

Introduction:The Sysmex XN-1000 autoanalyzer is designed to improve the analytical performance for counting blood cell and abnormal cell flags specificity.Each laboratory has its own decision to change the trigger thresholds for many of these flags.This would safely decrease the number of unnecessary blood film reviews, reduce the workload, and improve the turnaround time.Objective: The aim of the current study was to assess the performance of the thresholds at which Sysmex XN-1000 white blood cell specific flags ("Blast/Abnormal lymphocytes", "Atypical lymphocytes" "Left Shift", and "Immature granulocytes") are triggered as well as to optimize those trigger thresholds in order to raise the positive predictive value (PPV) of our system of flags for those specific abnormalities.Materials and Methods: Microscopic slide review was done for 400 blood samples when one or more of the interest flags were triggered using the factory default settings.Results: For all flags ("Blast/Abnormal lymphocytes", "Atypical lymphocyes" "Left Shift", and "Immature granulocytes"), the sensitivity was excellent (100%, 92.8%, 91%, and 95.8%, respectively) but the specificity was much less (14.2%, 19.3%, 25% and 1.9%, respectively).A statistical method (Youden Index) was applied for optimizing the thresholds of the 4 flags aiming at improving their specificity.Statistically speaking, the optimal thresholds for best efficiency were 290 for the "Blast/Abnormal lymphocytes" flag, 150 for the "Atypical lymphocytes" flag, 190 for the "Left Shift" flag and 0.42×10 3 /µL for the "Immature granulocytes" flag.Conclusion: Considering the clinical impact of the abnormalities that are suspected when a flag is activated, it was prudent to privilege sensitivity over specificity and keep both the "Blast/Abnormal lymphocytes" and the "Immature granulocytes" flagging thresholds at the factory default settings in order not to miss any cases of clinical importance.On the other hand, the thresholds of "Atypical lymphocytes" flag can probably be safely raised to 150 and the "Left Shift" flag to 190, thus reducing the number of unduly triggered samples while maintaining the sensitivity clinically acceptable.
Changes in Diurnal Temperature Range Over Nigeria from 1960 to 2019

Diurnal temperature range (DTR) is an important derived variable used in detecting signature of observed climate changes. Understanding its changes in recent time is important for managing and coping with climate change induced risks. This study analysed the long term trend and abrupt changes in diurnal temperature range over Nigeria from 1960 to 2019. Descriptive statistics, Mann-Kendall trend test, Sen’s slope and Pettit’s tests were used to assess the characteristics, trend, abrupt change and significance in annual DTR time series. Pearson correlation was used to examine the spatial relationship between DTR and minimum temperature, maximum temperature, precipitation and cloud cover. Results showed that mean DTR amount varied across spatio-temporal scales with steady increase from the coastal region, coupled with a weak inter-annual variability (CV &lt; 3%). The trend analysis showed a significant decreasing DTR in most grid points (GP) and regions of Nigeria, with the exception of Enugu, Ado-Ekiti and Warri. Also a significant negative trend was observed at the Guinea, Sudan and Sahel savanna regions. Abrupt changes occurred in the 1970s in the entire regions and most of the GPs with Ado-Ekiti, Calabar, and Enugu occurred in 1991 while Maiduguri and Jos experienced such changes in 2011. Furthermore, significant abrupt changes were observed at the following GPs and regions; Ikeja, Kaduna, Kano, Katsina, Sokoto, Yelwa, Yola, Guinea, Sudan and Sahel Savannas. This decrease in DTR over most of the GP and the entire region indicate that the climate of Nigeria is becoming warmer possibly due to environmental changes with precipitation and cloud cover being the major drivers of DTR variability in Nigeria. Thus, proper climate actions should be taken through adaptation and resilient planning for the sustainable development of socio-economic and natural systems.
Writing an Effective Abstract for a Scientific Paper

The publication of scientific paper is an integral part of the research communication process and the career in academia. In the course of scholarly writing, writing an abstract for a scientific paper is both a crucial and challenging endeavor; it should be accurately represented succinct summary of an entire document. The paper discusses the basic format with essential key components of a good abstract for a scientific paper writing and provides a basic guidelines for novice researchers and academia. The paper is based on review of scientific paper, extracted systematically from ‘Google Scholar’ search engine by using basic search strategy. In fact, the primary purpose of an abstract writing is to facilitate the communication of key findings with the readers so they can easily and quickly ascertain the gist of an entire work. More importantly, when writing an abstract, the fundamental five key components such as research context and objectives, brief outline of materials and methods, key findings, conclusion and significance/implications should be taken into account to accurately represent the entire paper.
Aspek kegunaan dan kemudahan pada penggunaan aplikasi Candil (Maca Dina Digital Library)

Candil is a digital library application that allows users to access library collections via cell phones, this application launched by Dinas Perpustakaan dan Kearsipan Daerah Provinsi Jawa Barat. With this application, users from various regions can access the library’s collections without any problems. It is important to analyze the extent to which this digital library application can be accepted by its users. Because by knowing how users respond to this digital library application, it can also be seen the advantages and disadvantages in it. This study aims to determines usefulness aspect and ease of use aspect of using the Candil application which can be used as a consideration in developing the digital library application. This research method uses a qualitative approach with case study analysis. The informants of this study were Candil application users and staff of Dinas Perpustakaan dan Kearsipan Daerah Provinsi Jawa Barat. The data collection techniques was carried out through observation, interviews, and documentations. Data analysis techniques are carried out through data collection, data reduction, data display, and verification. The results showed that the usefulness aspect was built on several items such as work more quickly, makes job easier, increase productivity, and useful. The items that have not been fulfilled in the usefulness aspect are job performance and effectiveness. The ease of use aspect was built on several items such as easy to use, controllable, easy of learn, easy to become skillful, and clear and understandable. The item that has not been fulfilled in the ease of use aspect is flexibility. The conclusion of this study shows that overall the Candil application is quite easy to use and provides benefits for its users even though there are some obstacles that can still be overcome. These obstacles are like applications that sometimes experience lag or difficulty connecting to the internet network, which users can still handle.
Pengembangan Modul Menulis Teks Fabel Berbasis Picture and Picture pada Siswa Kelas VII MTs Al-Bukhary Rantauprapat

This study discusses the development of picture and picture-based fable text writing modules in class VII students of MTs Al-Bukhary Rantauprapat. This type of research is development with a 4-D development model. The development steps carried out by the researcher are 1) the definition stage (define), 2). Design stage (design), 3). Stage of development (development), 4) Stage of deployment (disseminate). This study designed learning modules and administered tests to determine the ability to write fable texts. The instruments used in this study were media expert and material expert validation questionnaires, teacher and student response questionnaires and tests of the ability to write fable texts. After the module is made, the module for writing fable text based on picture and picture is validated by the expert. The validation was carried out by media experts and material experts so that the module for writing fable texts based on picture and picture was declared feasible for testing. The trial was carried out by asking for responses from teachers and students as research subjects. From the results of the post-test conducted at the end of the learning activity, it was obtained 90.3%, the student scores reached the minimum completeness criteria very well. And the results of the student response questionnaire analysis show the "very feasible" category. This means that the picture and picture-based fable text writing module that has been made has answered the problem formulation, so that the picture and picture-based fable text writing module is suitable for use by teachers and MTs students, especially in learning fable text material.
Flood Mitigation-Based Settlement Environment Management Strategy in Hudi Laran Region, Dili, Timor Leste

Geographically located hudi laran area the residential environment is in a flood-prone area because of its presence below the surface of the highway, so it requires a strategy of spatial arrangement based on disaster mitigation as an effort to safety and comfort the local community. Hudi Laran area has become a flood subscription at the time of rain because the topography is flat and sunken then water runoff from the hill will drain the water to a lower place. The main causative factor of flooding is that the channels that receive water flow are damaged and covered by soil and irregular land use. In this study using a qualitative descriptive approach with data collection techniques through observations, interviews, questionnaires and documentation conducted directly by researchers, for the processing of data needed data obtained through the results of interviews with respondents. The results of the analysis are processed using qualitative analysis methods and displayed in the form of diagrams that will explain the results of interviews with respondents. Then processed data analysis results are done by summarizing the results of the interview and then displayed in the form of paragraphs. Based on the results of the analysis data, the conclusion is the main factor causing flooding, namely high rainfall and damage to channels to the main / primary drainage that cause flooding with an average water level intensity of 50-70 cm and a maximum height of 70-100cm. Community participation in cleaning the channels that have been built by the government is expected to suppress smaller flood disasters.