Reviewerly/exHarmony huggingface dataset:
CSNN: Password Set Security Evaluation Method Based on Chinese Syllables and Neural Network

Password guessing attack is the most direct way to break information systems. Using appropriate methods to generate password dictionaries can accurately evaluate the security of password sets. This paper proposes a new approach to the Chinese password set security evaluation that is named Chinese Syllables and Neural Network-based password generation (CSNN). In CSNN, each chinese syllable is treated as an integral element, and the spelling rules of chinese syllable can be used to parse and process the passwords. The processed passwords are then trained in the neural network model of Long Short-Term Memory (LSTM), which is used to generate password dictionaries (guessing sets). To evaluate the performance of CSNN, the hit rates of guessing sets generated by CSNN is compared with the two classical approaches (i.e., Probability Context-Free Grammar (PCFG) and 5th-order Markov chain model). In the hit rate experiment, guessing sets of different scales are selected; the results show that the comprehensive performance of guessing sets generated by CSNN is better than PCFG and 5th-order markov chain model. Compared with PCFG, different scales of CSNN guessing sets can improve 5.1%～7.4% in hit rate on some test sets by 107 guesses (average 6.3%); Compared with 5th-order markov chain model, the CSNN guessing sets increased its hit rate by 2.8% to 12% (with an average of 8.2%) by 8×105 guesses.
Arts and Artist.

In work such as presented herein one can ask what the art is; who is the artist…. when is it art – why it’s art (Brooks 2019)? Truly international research is presented in that delegates working across national divides and diverse forms are represented. This section closes the ArtsIT contribution and leads into the Design, Learning, and Innovation sections of this book.
Sub-Saharan African (SSA) Growth Trajectory: How Far has Knowledge Contributed?

Education and knowledge have become the prerequisites for the growth and development of any economy or region. Knowledge is a liberator of individuals and societies from human poverty and is a precondition for rapid advancement in today's global knowledge economy (KE). Any nation or region which does not key into the global KE trend may find it very difficult to catch up and become competitive in the global market so as to benefit from the power of knowledge. The objective of this chapter is to investigate whether knowledge and human capital have contributed to the growth of sub-Saharan African (SSA) countries. Out of the four pillars of KE – the economic and institutional regime (including governance), education and human resources, the innovation system, and information infrastructure – this study focused on education and human capital in the estimation of how knowledge has contributed to growth of SSA countries. The data for the study were sourced from World Development Indicators published by The World Bank Group. Autoregressive Distributed Lag (ARDL) model was applied and the results show that knowledge variables have a significant impact on economic growth of SSA countries. It is therefore recommended that welfare and working conditions of the labor force be improved so as to be more productive; SSA countries should key into the KE policies so as to be competitive in the production, use, dissemination and transfer of knowledge, ICT, and science.
A Multimodal Fusion Method Based on a Rotation Invariant Hierarchical Model for Finger-based Recognition

Multimodal biometric-based recognition has been an active topic because of its higher convenience in recent years.Due to high user convenience of finger, finger-based personal identification has been widely used in practice.Hence, taking Finger-Print (FP), Finger-Vein (FV) and Finger-Knuckle-Print (FKP) as the ingredients of characteristic, their feature representation were helpful for improving the universality and reliability in identification.To usefully fuse the multimodal finger-features together, a new robust representation algorithm was proposed based on hierarchical model.Firstly, to obtain more robust features, the feature maps were obtained by Gabor magnitude feature coding and then described by Local Binary Pattern (LBP).Secondly, the LGBP-based feature maps were processed hierarchically in bottom-up mode by variable rectangle and circle granules, respectively.Finally, the intension of each granule was represented by Local-invariant Gray Features (LGFs) and called Hierarchical Local-Gabor-based Gray Invariant Features (HLGGIFs).Experiment results revealed that the proposed algorithm is capable of improving rotation variation of finger-pose, and achieving lower Equal Error Rate (EER) in our homemade database.
Educational Management Strategies

The paper presents a research on educational management strategies. For a qualitative, attractive, competitive education system, relevant to the requirements of the labor market, it is necessary to apply educational management strategies. The quality of educational services is a social goal, it contributes in increasing the efficiency of the entire economy. It is considered that strategic management should be proposed in productive and commercial institutes and enterprises, while the schools as institutes that human beings are their main inputs and outputs are the best options for the implementation of strategic management. The added values of schools are knowledge, skill, and awareness which require scientific purposeful planning to change into a high-performing school. Strategic management in schools influences on their planning, predicting changes, and managing.
Sentiment on Google Play Android Apps Analytic User Rating Review Through Data Mining Techniques

In the current scenario the data mining plays an important role, where application and domain need data mining support. Everywhere we have seen a lot of Android smartphone users as well as IOS. This paper used several classification techniques used to extract and analyze the dataset from mobile apps. We studied the methods available to classify the number of downloading in minutes and the users' aggregate ratings. The classification involves data classification based on the complete training sample. It also plays an essential role in collecting information and extracting useful information from many mobile phones. There is n number of algorithms available and techniques for the extraction and classification of features. We took four classification methods, i.e., Naive Bayes, Vector Machine, AdaBoost, and neighbor K-Nearest. According to these methods, split ten random samples with 95% data scores in different ways. The AdaBoost method is the best among four because of the scores of AdaBoost AUC-0.495, CA-0.980, F1-0.979, Precision-0.978 and Recall-0.980.
ANALISA PRA PENGAJARAN JARAK JAUH (PJJ) PADA MASA PANDEMI COVID 19

Lectures in the odd semester of the 2020/2021 academic year are still carried out by online distance learning, this is done to break the chain of spreading the COVID-19 pandemic which is still high. This PJJ is the second implementation since the COVID-19 pandemic occurred. In facing PJJ in this second semester, researchers tried to examine the readiness of lecturers in implementing PJJ. The data was collected through a questionnaire on the lecturer of the information systems study program and the informatics engineering study program of STMIK Nurdin Hamzah. The questionnaire was made using google form, the response of this application was an analysis researcher, the results showed that the lecturer had prepared the material to be taught. Material preparation refers to the implementation of PJJ last semester, lecturers have also prepared to anticipate the obstacles faced by students in attending PJJ lectures last semester, both obstacles in the internet network, internet quata, assessment, laboratory materials, sending assignments, improving grades. The response data also shows that the preparation of teaching materials that have been prepared by the lecturers is contradicting the needs of the workshop, which are equal to 72.2%. This shows that the material that has been prepared is not optimal, the lecturer wants the material to be varied by paying attention to system design and development, interactivity, active learning, visual imagery and effective communication. It is expected that the same researchers towards this study can expand respondents, and also encourage higher respondent participation.
Специфіка роботи концертмейстера в умовах дистанційного навчання

The process of transformation of all spheres of human life initiates as a result of the trials facing modern humanity in connection with the Covid-19 pandemic. After the introduction of distance learning in most higher education institutions of Ukraine, the process of changing the activities of many participants in the educational process has begun. Teaching theoretical disciplines is easy to transform into an online format, while practical skills are more difficult to form remotely. Many questions arise due to the need to review the activities of an accompanist who works with a choir or ensemble. Accordingly, it is necessary to identify promising areas of work of the accompanist in terms of distance learning and outline the possibilities of their implementation in the educational process. The purpose of the article is to reveal the specifics of the work of concertmasters in distance learning. It is necessary to identify the main forms of work of the concertmaster with the choir and ensemble, as well as to present opportunities to carry them out online, without compromising the level of productivity. The scientific methodology is associated with the use of methods of analysis, synthesis. The results of the research illustrate possible forms of work of the concertmaster with performing groups under the condition of distance learning. Conclusions. Among the possible ways to carry out the work of the concertmaster with groups is the preparation of audio recordings with exercises that will be used during the individual work of students. It is also necessary to create audio versions of the repertoire - instrumental accompaniment, individual parts. Much attention should be paid to the collective forms of interaction of all artists with the help of software applications Zoom and Google Meet. During group classes, it is necessary to pay attention to the selection of stages of the drama of a musical work, analysis of artistic and figurative content, outlining the problematic issues that arise in the process of performance. Modern technologies do not yet provide the ability to perform a work in an ensemble presentation in software applications, due to the delay in sound reproduction.
Discussion on Innovation Strategies of University Library Management in the Internet Era

With the development of Internet technology in modern society, universities and colleges have begun the construction of digital library.With the digitalization of the university library, the original service mode can not adapt to the modern university library service, so the innovation of the service mode has become very necessary, this paper will discuss the disadvantages of the original service mode, the innovation of the service mode and so on.
Ética da Pesquisa em Sistemas de Informação: Por que e como submeter meu projeto ao Comitê de Ética?

The Book of Short Courses given at the 17th Brazilian Symposium on Information Systems (SBSI 2021) addresses content related to blockchain, smart contracts, web systems, technical aspects of ethics, and procedures for submitting and approving research projects involving human beings. In the first chapter, entitled “Blockchain, Smart Contracts, Web Systems: Theory and Practice”, the fundamental concepts, mechanisms, and platforms used and which are involved in the implementation of reliable and distributed Web applications are addressed. And in the last and second chapter, “Research Ethics in Information Systems: Why and how to submit my project to the Ethics Committee”, the technical aspects of research involving human beings in the context of Information Systems are discussed. In addition, the necessary procedures for submitting and approving a research project involving human beings are presented. &nbsp
Digital onboarding for banks & financial services

Since the onset of COVID-19 in the year 2020, organizations across the globe have been forced to do business with minimal human contact. Global fin-tech & banking industries are no exception. Fin-techs are leveraging this opportunity to eat into the business that traditional financial organizations, as well as banks, had previously taken. It’s becoming essential for banks, and traditional financial services organizations to move onto digital processes, digital customer onboarding being a critical piece of it. Regulatory KYC processes make onboarding a tricky affair. However, today’s digital ecosystem and advancements in CV & AI allow financial institutions to onboard customers with zero human interaction in most cases.
A view of NIE at the Yunnan Garden Campus

The photo shows a view of the Yunnan Garden Campus, with Block 3 on the right and the Library in the distance.
A Framework for Blockchain-based Smart Health System

Electronic health record (EHR) is patient data that store health information in digital format. Patient-centred data enables an authorized user to access the data at any time, anywhere. E-healthcare provides increasing social benefits, health benefits and reduced medical errors. The most difficult aspect of improving the use of IT frameworks in healthcare is the security issues of the systems that store health information. In the health sector, Blockchain is a revolution that may bring considerable changes in offered health services. It solves the issue of adapting and building a health care system in the healthcare community, pharmaceutical industry and insurance companies. This paper presents a framework for securing healthcare data.  Public Ledger, private ledger, smart contracts and context-based access control are the basic principles behind the proposed framework. This proposed model further provides interoperability, secure storage, and reliable access to patient's data.
Objective object segmentation visual quality evaluation based on pixel-level and region-level characteristics.

Objective object segmentation visual quality evaluation is an emergent member of the visual quality assessment family. It aims at developing an objective measure instead of a subjective survey to evaluate the object segmentation quality in agreement with human visual perception. It is an important benchmark to assess and compare performances of object segmentation methods in terms of the visual quality. In spite of its essential role, it still lacks of sufficient studying compared with other visual quality evaluation researches. In this paper, we propose a novel full-reference objective measure including a pixel-level sub-measure and a region-level sub-measure. For the pixel-level sub-measure, it assigns proper weights to not only false positive pixels and false negative pixels but also true positive pixels according to their certainty degrees. For the region-level sub-measure, it considers location distribution of the false negative errors and correlations among neighboring pixels. Thus, by combining these two sub-measures, our measure can evaluate similarity of area, shape and object completeness between one segmentation result and its ground truth in terms of human visual perception. In order to evaluate the performance of our proposed measure, we tested it on an object segmentation subjective visual quality assessment database. The experimental results demonstrate that our proposed measure with good robustness performs better in matching subjective assessments compared with other state-of-the-art objective measures.
Social Media a Boon: Pirate News Identification Using Knowledge Engineering

The typical news use through non-traditional sources, for instance, online life, web diaries and messaging bundles have definitely expanded a lot of excitement for the on-going time. One of the rule wellsprings of information content that people depend these days upon is through electronic interpersonal interaction. The climb of online informal communication as a news source has the issue old enough and expansive of misshaped information. This addresses a peril not only express to a phase in which the news content is dispersed at this point furthermore to the internet mode for giving news with everything taken into account. The assignment, we endeavoring to carry out an enterprising methodology to expect pirate information that inescapable in web based systems administration. With the improvement of information and advancement has immediately extended the general population with admittance to the web, which has changed the course for correspondence, exchanging and consuming information. Along these lines, the concern of pirate news has become a huge to the overall population. As all of them relies more upon online structures association now-a-days for information or news. With the improvement of online facility as a phase for spread and getting news from various sources is critical yet additionally clearly has an issue of passing on and getting out counterfeit word. The problematic assertion can be imparted as: Design and improvement of an application which coordinates the news and predicts the level of exactness.
On the Diversification of Running Schools in Higher Vocational Colleges

In order to sustainable development, higher vocational colleges need to use the power of society to realize a multieducational running system.The social forces mainly include: relying on the industry, cooperate with enterprises, Chinese-foreign cooperatively-run schools, and other forms.
PSYCHOLOGY OF AN ARTIST

It is emphasized that the role of an artist in society, getting familiarized with his psychological experiences is one of the most important tasks. Getting familiarized with the history of the art of creators artists. Studying the psychology of artists and a characteristics of the chosen image is taken as an object in the present article.
Analysis of Errors in Machine Translation from Roger T. Bell's Translation Process Model

There are enough literature reviews about machine translation, but the numbers of texts studied are not large enough, and there are very limited varieties of machine translation tools they have used. Taking the Chinese Government Work Report in 2020 as an example, this paper compares Google, Youdao, Baidu, Sogou and official translations from the perspective of syntax and pragmatic structure by using Roger T. Bell's translation process model. It is found that new words are not introduced into the Frequent Lexis Store in time, and the organization of sentence structure is not appropriate, and pragmatic awareness is weak through the process of machine translation. In the same text, Baidu translation has the most words, and Sogou translation has fewer grammatical problems, and Youdao translation has better pragmatic performance, and Google translation has no outstanding highlights.
A barycentric coordinates-basedvisualization framework for movement ofmicroscopic organisms

As many research projects face the need to manage a large amount of gen- erated research-specific data, usually with a specific structure, the demand for visualization systems is common. Likewise, the emerging data volume could turn substantially transparent cast in a visual appearance. Also, the non-trivial character of the dataset made the construction of a custom visualization necessary. Taking the possessed requirements into account, we designed a tool for processing the simulation data and handling the issue resulted from the indirectness with a previously analyzed barycentric conversion method. The system also visualizes the microscopic organism’s behavior and supports a straightforward data analysis through several built-in tools.
DIAGNOSTIC ACCURACY OF 99mTc METHOXYISOBUTYLISONITRILE (MIBI) SCINTIMAMMOGRAPHY IN DETECTION OF BREAST CANCER

Objective: To evaluate the diagnostic accuracy of Scintimammography as a reliable diagnostic modality for detecting carcinoma breast keeping histopathology as a gold standard for final diagnosis. Study Design: Cross sectional validation study.Place and Duration of Study: Nuclear Medical Centre (NMC), Armed Forces Institute of Pathology (AFIP) Rawalpindi, from Oct 2016 to Apr 2017.Methodology: 738-1100 MBq (20-30 mCi) of 99mTc methoxyisobutylisonitrile (MIBI) was injected intravenously in the contralateral arm to the affected breast, in case of bilateral breast lumps tracer was injected in foot. Planar Images were acquired in prone and supine positions at 20 and 60 min. Gamma camera was equipped with low energy all-purpose collimator. Photopeak centered at 140 Kev (Kiloelectron volt) with 20% window, and matrix size of 256X256 pixels.Results: Total 96 patients were included in the study. After scintimammography each patient underwent FNAC/ TRUCUT for histopathological diagnosis. The age of patients ranged from 20-74 years. The mean age of presentation was 43.22 ± 12.59 years. Diagnostic accuracy was calculated for 96 patients. Fifty three had true positive (TP) while 37 had true negative (TN) results. The sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV) of the study was 98.1, 88.1, 91.4, 97.4% respectively and an accuracy of 93.75%.Conclusion: This study has shown an excellent sensitivity, specificity in detection of malignant mitotic lesions of breast, although any test with 85% is worth trying for especially in patients where Mammography may not be of much benefit. The patient will benefit from non-invasive, nonpainful modality with less need for biopsy.
LEARNING DESCRIPTIVE WRITING WITH LOCAL TOURISM DESTINATION PICTURES

English is internasional language that used by people in around the world in any levels. So it is studied start form elementary school until college, but they found difficult to study English. Its become a problem for the students or learners  because English is foreign language. Moreover, in our country English is not first or second languge but it is as a foreign language.Teacher should find the batter ways to improve students' English mastery or skill. Making a teaching material, teacher could be do anythings  to improve students' English skill include using a Local Tourism Destination Pictures to improve students English skills especialy in descriptive writing.By using a tool like a picture is make easy for the students to make a hand writing and improve it become a good English writing skill, so using a teaching media like a picture is very effective to improve students’ writing English mastery.
Is Mandatory Vaccination Against COVID-19 Justifiable Under the European Convention on Human Rights?

Mandatory vaccination interferes with personal integrity but may be necessary to safeguard public health. However, states must consider all relevant factors in context and ensure such policies do not place disproportionate burdens on those hesitant about vaccination.