Reviewerly/exHarmony huggingface dataset:
Identification and classification of barriers and benefits of requirements traceability in project development

Requirements are conditions that a product, service, or process must present and requirements management facilitates this realization. For this, the requirements traceability technique is used for the development of projects and systems and all management of the requirements life cycle. However, the literature recognizes the proven benefits of adherence to the technique, but the plurality of problems inhibits its adherence. Thus, this article aims to identify and classify the barriers and benefits of requirements traceability. For this purpose, it was elaborated a systematic literature review, and for the results´ analysis and codification, the MAXQDA software was used. A total of 15 barriers and 15 benefits were identified. It is possible to verify that both in the case of benefits and barriers, there is a cause and effect relationship between them. In other words, barriers such as “Low flexibility and integration of tools” lead to the emergence of other barriers such as “Management inefficiency”.
Comparison between SAW and Knowledge based SAW in Recipe Recommendation System

Recipes are used as a reference in processing cooking ingredients to meet personal nutritional needs, considering the ingredients used to make food sold freely that is not necessarily guaranteed in nutritional quality and safe to consume, especially during the pandemic as it is today. So cooking itself becomes a better alternative for the community. With a large number of food recipe options available for various media, the role of a Decision Support System is needed by people who will get food recipe recommendations. Research related to recipe recommendations that have been done are using SAW only and some add experts as a source of knowledge to provide value on the variable time and complexity of cooking recipes. Therefore, in this study, a comparison between the research of recipe recommendations with SAW only and research that added a subsystem of knowledge management derived from experts to support the decision support system of food recipe recommendations was conducted by using correlation testing. The results is there is a strong correlation between knowledge based SAW and user preference to the value of 0.9774. The result is better than SAW only and user preference with the value of 0.7262.
A Transformer-based Neural Model for Chinese Word Segmentation and Part-of-Speech Tagging

Recently, deep learning methods have greatly improved the state-of-the-art in many natural language processing tasks.Previous work shows that the Transformer can capture long-distance relations between words in a sequence.In this paper, we propose a Transformer-based neural model for Chinese word segmentation and part-ofspeech tagging.In the model, we present a word boundary-based character embedding method to overcome the character ambiguity problem.After the Transformer layer, BiLSTM-CRF layer is used to generate the best tagging results.Experiments on Chinese Treebank show that our model on Chinese word segmentation and part-of-speech tagging outperforms the baseline model and achieves state-of-the-art performance.
Quantification of Blood Cells and Blood Disease Detection Using Image Processing

RBC (Red Blood Cells) and WBC (White Blood Cells) are the main constituents of blood. WBC fight infections by attacking bacteria and viruses, that invade the body, while RBC transports oxygen in the body. Many blood diseases can be detected using RBC and WBC count values. Immunity-related blood diseases like Leukopenia and Leukocytosis can be easily detected using the WBC count value. The manual counting method of blood cells in laboratories takes at least one day to get the blood results, which becomes a major drawback for healthcare sectors to diagnose the disease at the right time. More expensive pathological tests are also a major drawback. Accurate counting of blood cells is essential in the accurate diagnosis of the disease. The proposed system is used to calculate the RBC and WBC Count, Total blood Count, RBC and percentage and the blood disease (Leukocytosis, Leukopenia) from the input blood smear image. This will help laboratories to perform the counting of blood cells with high accuracy and less workload. This is achieved by pre-processing that involves grayscale conversion, image enhancement, noise removal, binary conversion of input image, followed by plane extraction and threshold-based Segmentation. The blood disease (Leukocytosis and Leukopenia) is detected using WBC percentage-based classification methodology. This approach obtained an accuracy of 98.4%, specificity of 88.889%, precision of 99.58%, F - Measure of 99.50%. Morphological operations are implemented using MATLAB software.
Analysis of Selection Methods Used in Genetic Algorithms

This paper offers a comprehensive review of selection methods used in the generational genetic algorithms.Firstly, a brief description of the following selection methods is presented: fitness proportionate selection methods including roulette-wheel selection (RWS) and its modifications, stochastic remainder selection with replacement (SRSWR), remainder stochastic independent selection (RSIS), and stochastic universal selection (SUS); ranking selection methods including linear and nonlinear rankings; tournament selection methods including deterministic and stochastic tournaments as well as tournaments with and without replacement; elitist and truncation selection methods; fitness uniform selection scheme (FUSS).Second, basic theoretical statements on selection method properties are given. Particularly, the selection noise, selection pressure, growth rate, reproduction rate, and computational complexity are considered. To illustrate selection method properties, numerous runs of genetic algorithms using the only selection method and no other genetic operator are conducted, and numerical characteristics of analyzed properties are computed. Specifically, to estimate the selection pressure, the takeover time and selection intensity are computed; to estimate the growth rate, the ratio of best individual copies in two consecutive populations is computed; to estimate the selection noise, the algorithm convergence speed is analyzed based on experiments carried out on a specific fitness function assigning the same fitness value to all individuals.Third, the effect of selection methods on the population fitness distribution is investigated. To do this, there are conducted genetic algorithm runs starting with a binomially distributed initial population. It is shown that most selection methods keep the distribution close to the original one providing an increased mean value of the distribution, while others (such as disruptive RWS, exponential ranking, truncation, and FUSS) change the distribution significantly. The obtained results are illustrated with the help of tables and histograms.
ecological system of the digital educational environment as a new definition of modern education in the view of teachers

Digital technologies and products are a new reality of modern education, but the degree of their influence on the ecology of the digital educational environment has not been fully studied. The article examines teachers' ideas about a new definition of education - the ecology of the digital educational environment; about the impact of digital educational products on the cognitive, personal and activity sphere of students. Implement the tasks set, an anonymous online survey of teachers of secondary schools in Moscow, the Moscow region, Voronezh, Nizhny Novgorod, Samara was conducted using the Google form. The article, based on the analysis of teachers' ideas about the ecology of the digital educational environment, risk zones and their impact on the cognitive, personal and activity spheres of students are identified; criteria for assessing the impact of digital educational products on cognitive processes, personal qualities and motivation of students learning activities are determined; indicators for each type of criteria are considered. The article shows, in the view of teachers, digital educational products have an ambivalent impact on the development of a student: they act as a resource, a means of development, and at the same time, they are risky for the development of a student.
Secure, Image based Private Key for Secret Message Cryptography

The protection of text messages, whether short or long, is a very important process, and therefore, in this research paper, a new method will be presented to encrypt and decrypt these messages.The proposed method will base on a color image which will kept in secret and used to generate the private key, thus we can guarantee the protection of the secret message from being hacked.The proposed method will be tested and implemented, the obtained results will be used to prove that the method provides good values for MSE and PSNR during the encryption and decryption phases.The proposed method performance parameters will be compared with DES and AES methods parameter to justify the performance enhancement achieved by the proposed method.
CITATION DATABASES: THE ROLE OF THE ACADEMIC LIBRARIAN

Objective. Indicators of citation databases are widely used as a tool for evaluating academic productivity and decision-making in science and technology. Academic libraries organize services to work with such resources. Methods. Based on the analysis and description of the work of the Information Monitoring Service, the role and type of support that academic libraries can provide in the process of their use are considered. Results. The portfolio of services for the use of citation databases provided by the employees of the Service consists of administration and organization of access, consulting, and information work, monitoring and analysis of publishing activity, organizing information, information support of journal’s editorial boards. Conclusions. Such services of academic libraries are diverse and require the development of theoretical and methodological basis for their quality implementation, continuous training of staff, their more active involvement in research processes.
A Study of Websites of CBSE Schools of Aurangabad (M.S.) District

The present study aimed to know the functionality and presentation of the web sites of CBSE schools.The data collection for the present study is done by using survey method.To analyze the websites some basic criteria's have been taken over.These criteria's are authority, objectivity, accuracy, currency, coverage and scope.Apart from this study has also been taken by analyzing the buttons, links, no. of pages and download facility etc.After data collection the same has been analyzed.This paper shows the analysis of the websites of these Schools in Aurangabad district.As a result it is found that majority of CBSE schools in Aurangabad district are in urban area, and near about half of the schools are providing download button on their websites.Further it is found that majority of schools websites are providing map, links and buttons.But unfortunately majority of school websites are having commercial domain name as .com.
Research on Path Planning Algorithm of Bidirectional Rapidly Exploring Random Tree Improved by Artificial Potential Field

Abstract Aiming at the defects of path planning in rapidly exploring random tree(RRT) algorithm, such as low efficiency, strong randomness and slow convergence rate, a new algorithm based on artificial potential field was proposed in this paper. The algorithm used the scheme of bidirectional growth of exploration tree to make two growth trees explore and expand outwards from the starting point and the end point at the same time to accelerate the convergence speed of the algorithm. In the early stage, growth pretreatment was added to make the two growing trees take their respective endpoints as the target points and pass through the obstacle free area rapidly at one time. Artificial potential field method was used to modify the growth tree touching the obstacle and guide the path to grow towards the end. The adaptive change probability was used to select different target points as the growth directions in different periods with different probabilities to accelerate the meeting of two growing trees. After a lot of simulation experiments and data analysis, the improved bidirectional RRT algorithm has higher search efficiency, better growth path and fewer sampling points.
Analysis of paradoxes in intelligent models of systems

A paradox is understood as reasoning (knowledge base), from which follows the incompatibility of properties for some objects participating in it. Some methods to analyze and eliminate such paradoxes in intelligent systems based on E-structures and n-tuple algebra are considered and illustrated by examples.
INTERNATIONAL PRACTICE OF USING ENDOWMENT FUNDS AS LEVERS OF SUSTAINABLE SOCIALLY RESPONSIBLE DEVELOPMENT OF UNIVERSITIES

This article analyzes the problems of addi-tional financing of the university and the possibility of considering them as a subject of social responsibility for Russian society. The possibility of improving the quality of education in higher education through the use of endowment assets is substantiated. The definition of endowment assets and funds is given. The level of development of this mechanism by the leading Russian uni-versities is determined. The author analyzes the statistics of successful foreign use of such a tool as endowment funds. This article attempts to establish the relationship be-tween the number of participants in endow-ment funds and the amount of funds raised. Also, the tasks necessary to develop an al-gorithm of actions that allow Russian higher education to use endowment assets have been formulated.
FORMATION OF SKILLS OF EFFECTIVE COOPERATION OF PARTICIPANTS DURING IMPLEMENTATION OF STEM-PROJECTS

The article is devoted to the analysis of the formation of skills of cooperation of participants of STEM-projects and the disclosure of the features of effective cooperation in order to implement an effective and high-quality STEM-project. In the era of digitalization of all spheres of life, young people need live communication and active interaction. The purpose of the article is to clarify the features of educational cooperation during the implementation of STEM-projects through the prism of personal development of each participant, analysis of ways to develop skills of effective cooperation in the implementation of STEM-projects. Applied research methods: theoretical analysis of literature sources; methods of analysis, synthesis to determine the categories of cooperation of STEM-project participants; methods of generalization and systematization in order to form their own views on the formation of skills of effective cooperation through the implementation of STEM-projects. That is why the article focuses on the educational cooperation of each participant during the implementation of STEM-projects through personal development. The specifics of the formation of student skills through cooperation in four aspects are revealed: cooperation between students; teaching; apprenticeship and teaching; apprenticeship, teaching and professionals. The development of technological skills is relevant both in professional activities and in school life. That is why the article focuses on cooperation through digital technologies. The positive aspects of the above-out cooperation are systematized and the negative ones are emphasized. The prospect of further research is the formation of technological skills and abilities of effective cooperation of students through the implementation of STEM-projects by distance learning.
Thermochemical structure of Gondwana terrains from multi-observable probabilistic inversion

The supercontinent Gondwana broke up 200 Myrs ago in smaller continents known today as South America, Africa, India, Australia, Antarctica.In the last twenty years, extensive petrological, geochemical, and geophysical studies were done in Australia and South Africa.Still, models of the post-Gondwana lithospheric mantle evolution are constrained by sparse geochemical analysis and/or numerical modelling.Access to different scale geophysical datasets allow applying joint inversion framework to better constrain the present-day physical state of cratonic lithosphere.Here we use a 3D multi-observable inversion method based on a probabilistic (Bayesian) formalism.This approach constrains the present-day thermochemical structure (temperature and major element composition) of the mantle using the sensitivity of multi-geophysical datasets within a thermodynamically consistent Bayesian framework, solved with state-of-the-art Markov Chain Monte Carlo algorithms.This presentation will show recent thermochemical tomography of central-southern Africa, Antarctica, South America, and Australia at a resolution of 1°x1°.We will show new thermal lithospheric thickness and the average chemical composition of the lithospheric mantle maps beneath these Gondwana terranes.We will discuss the evolution of cratonic lithosphere derived from our modelling and previously suggested by comparing it with external observables (xenolith/xenocrysts thermo-barometry analysis, hotspot tracks reconstruction, volcanism).This contribution will address the following questions: 1.How thick, cold and depleted is the cratonic lithosphere beneath Gondwana terranes?2. How did mantle plumes affect the thermochemical structure in the last 200 Myrs? 3. What can geophysical data and paleo reconstruction tell us about the evolution of the cratonic lithosphere?
Improving Security Using Modified S-Box for AES Cryptographic Primitives

The growing network traffic rate in wireless communication demands extended network capacity. Current crypto core methodologies are already reaching the maximum achievable network capacity limits. The combination of AES with other crypto cores and inventing new optimization models have emerged. In this paper, some of the prominent issues related to the existing AES core system, namely, lack of data rate, design complexity, reliability, and discriminative properties. In addition to that, this work also proposes a biometric key generation for AES core that constitutes simpler arithmetic such as substitution, modulo operation, and cyclic shifting for diffusion and confusion metrics which explore cipher transformation level. It is proved that in AES as compared to all other functions S-Box component directly influences the overall system performance both in terms of power consumption overhead, security measures, and path delay, etc.
PROCESS WRITING APPROACH IN ENHANCING HIGH SCHOOL STUDENTS’ ESL WRITING COMPETENCY

This study was conducted to determine the impact of using process approach in writing narrative composition for Senior High School students who were taking Reading and Writing subject. It focused on determining students’ progress in writing narrative composition in terms of organization, coherence, appropriate language use, and mechanics. The study used quasi-experimental one-group pretest-posttest design wherein the respondents, who were chosen through total population sampling, underwent pre-test in which they were tasked to write narrative composition using traditional approach. Process writing approach was implemented with the use of activity manual as teaching- learning guide wherein the final output was evaluated as post-test of the study. Based on the findings, Senior High School students were not competent in writing narrative composition especially in terms of coherence, appropriate language use and mechanics using traditional approach. But with the use of process writing approach, the students were assessed to become proficient in four writing competencies. Thus, the study recommended the use of process writing approach as it was found effective in enhancing students’ competency in writing narrative composition.
Structure of Mathematical Research

In this paper, we discuss about the structure of various components of mathematical research. We mainly focus on the structure of PhD proposal, PhD thesis and research article. We describe in detail about the standard structure of these components in the context of mathematics.
The Effectiveness of In-Person versus Online Instruction in the Pre-service Teacher Preparation Programme

In reference to the reflective nature of the methodological design of the current pre-service English teacher education program at the Faculty of Arts, University of Ljubljana, considerable challenges related to teacher-education were noted during the emergency online switch. For this reason, the theory/practice connections, typically strengthened via the practical, experiential and reflective components of university teacher-education programs, were put to the test. The research is aimed at identifying the challenges of the online switch and focuses on comparison of the effectiveness of in-person versus online instruction in the pre-service English teacher preparation program. The research questions seek to examine whether teacher-training sessions online are more demanding and challenging, and potentially less effective (as perceived by the respondents), compared to the in-person teacher-training practices. The study results offer a valuable insight into the teacher-trainees’ perceptions of the challenges and effectiveness of the online English teacher-training course implementation in comparison with the in-person mode.
Analysis on the Practical Application of Multiple Incentive Mechanism in Educational Management

In the new era, China’s education industry was ushered in a high-quality development stage. On the one hand, it is necessary to set a goal of education management on the all-round development of students. On the other hand, we should innovate some practical application schemes of diversified incentive mechanism consistent with the needs of educational management. Taking this as the starting point, this paper summarizes the connotation of incentive mechanism and diversified incentive mechanism, and analyzes the practical problems of single incentive standard, issues on incentive timeliness, and reduced participation of incentive objects at the current stage. On this basis, this paper puts forward some corresponding measures from three angles: opening up thinking, updating in time and emphasizing the target.
Model Pemantauan Keamanan Jaringan Melalui Aplikasi Telegram Dengan Snort

Network security is the main of the development of today's technology. The ease in accessing the internet also requires protection on users is required. The ease of accessing the internet by people can also cause the occurrence of cyber crime. Cyber crime can be done by all internet users, without exception, to earn a profit. Security monitoring system server through the app messenger Telegram can help administrators in the work because always be on standby in front of the server computer. Notice of Snort as IDS via Telegram also quicked and can be accepted anywhere. In taking action when the server something happened not too late. Target cyber crime also can attack anyone without exception. A system should be a strength, with the protection of a secure network that will be difficult to hack by hackers. The server is the main target in the conduct of cyber crime. The use of the server must maintain to secure all the data is not misused by persons who are not responsible. Each server is a system that should be an administrator as a guard on duty watching and taking action when something happens on the server. To monitor a server, an administrator should always standby in front of the server computer so as not to late take action when the server is about to happen something.