Reviewerly/exHarmony huggingface dataset:
Age, Gender, and Emotion Recognition based Deep learning models

A deep learning approach was proposed in this study for estimating age, emotion expression, and gender from a real-time video source without using facial landmarks or other geometric calculations of cafe features. For image classification, a convolutional neural networks (CNNs) pre-trained and used on ImageNet from Caffe (Convolutional Architecture for Quick Feature Embedding), a modifiable platform for state-of-the-art deep learning algorithms and a set of reference models. The (you only look once v3) YOLOv3 algorithm was employed for such purposes having a desirable abilities to serve the required purpose. Deep Convolutional Neural Network (DCNN) features are used to propose a framework for automatically understanding facial expressions. The suggested model focuses on understanding an individual's facial expressions from a single image.
Indian Sign language Recognition Using PCA And Artificial Neural Network

Sign Language is a language which uses facial expression, hand gestures for communication with others. Communication plays the vital role in day to day activities and the sign language is the only communication mean for deaf community but the people who can hear properly hardly try to learn the sign language, as a result deaf people find it difficult to communicate with the normal people without a sign language interpreter. So there is need of sign language recognition system. This paper deals with the classification of single handed indian sign language gestures using Principle Component Analysis and machine learning technique like ANN.
A method for rapidly detecting illegal cross-area network linkages in power monitoring systems

The network security of power monitoring systems is related to national security, and illegal cross-area linkages are one of its key risks. Therefore, how to effectively and accurately locate illegal cross-area linkages in power monitoring systems is studied deeply in this paper. In this paper, through research and extensive data collection, the types of computer services commonly used in power monitoring systems and their characteristics acquisition methods are determined. Then the uniqueness of service characteristics among different devices is given. On this basis, the weighted Hamming distance is used to calculate the similarity between the service feature sets of devices on isolated network areas, where the weight is directly proportional to the uniqueness of the service feature. Through testing in the real environment of thermal power plants, wind power plants, hydropower plants, substations, and dispatching master stations with 40 to 260 devices, under the premise of reasonable setting of service feature weights, the scope of suspicious cross-area connected devices can be reduced to less than 3. The method proposed in this paper is suitable for on-site inspection of illegal cross-area linkages in power monitoring systems, which improves the accuracy and efficiency of risk investigation.
To use or not to use Monroe's sequence for reading? A preliminary study / Bernadette Peter Lidadun and Nancy Chiuh

Developed by American psychologist, Alan Monroe, Monroe’s Motivated Sequence is believed to be a well-used and time-proven method to organize oral presentations for maximum impact. However, literature indicates that its potential for use in reading development may have been overlooked. This paper reports the findings of a preliminary study which aimed to determine the feasibility of using the 5-step Monroe’s Motivated Sequence for reading assignments to a group of aspirants for Catholic priesthood in a Formation House in Malaysia. A phenomenological research was conducted on ten participants between February and June 2019. The objectives of the study were to describe how the 5-step Monroe’s Motivated Sequence influences reading behaviors and to explore how it provides the scaffolding for the participants to select their reading materials and the relevant information before they verbally share the information in a class presentation. Through focus group interviews and observations during class activities, it was concluded that the 5-step Monroe’s Motivated Sequence can be used as scaffold for reading activities as it enthused the participants to engage in extensive reading particularly reading materials online. However, the study also suggests that refinement on each step of the Monroe’s Motivated Sequence is essential for ESL readers. Some details need to be provided in the steps to form solid scaffolding for the participants to understand better how selection of reading materials and appropriate information can be effectively done prior to oral presentations. This preliminary study managed to ascertain an important aspect that needs fine-tuning before the main study is done.
Did the Cold War Produce Development Clusters in Africa

This paper examines the lasting impact of the alignment of African countries during the Cold War on modern economic development. We show that the division of the continent into two blocs (East/West) led to two clusters of development outcomes that reflect the Cold War's ideological divide. To determine alignment, we introduce a non-cooperative game of social interactions between African countries, where every country chooses one of two existing blocs based on its predetermined bilateral similarities with other members of the bloc. We show the existence of a strong Nash equilibrium in our game and apply the celebrated MaxCut method to identify such a partition. We validate the alignment by confirming that it predicts UN General Assembly voting patterns during the Cold War. Our approach, linking global political interdependence to distinct development paths in Africa, extracts from history a micro-founded, exogenous treatment, while allowing for an endogenous, process-oriented view of historical events.
Cyber Crimes and Its Legal Challenges in India

India is emerging as an Information Technology hub and at the same time is also becoming a major ground where cyber offences are increasing day by day victimizing the innocent users of the technological innovations. In such a situation it becomes very necessary to protect the rights of the citizens from those criminals who use to take advantage of the ignorance of the common people. Cyber world has made all the technologies to change in such a way that it has created a generation gap between those who are known to these technologies and those who stayed behind in this race. India is a country with much rich and poor divide along with-it higher rates of poverty and illiteracy. Therefore, such generation gap gets even more widened due to such reasons. Thus, both the law makers and the law keepers have a big responsibility to introduce an efficient legal mechanism for addressing such issues of cyber-crimes that takes place in the virtual world which is much difficult for monitoring through real mechanisms. This paper will thus make an attempt to analyze the legal framework with an aim of understanding the efficiency of in regulating cyber-crimes in India.
Segmentation of elongated structures processed on breast MRI for the detection of vessels

Abstract The multi-seed region growing (MSRG) algorithm from previous work is extended to extract elongated segments from breast Magnetic Resonance Imaging (MRI) stacks. A model is created to adjust the MSRG parameters such that the elongated segments may reveal vessels that can support clinicians in their diagnosis of diseases or provide them with useful information before surgery during e. g. a neoadjuvant therapy. The model is a pipeline of tasks and contains user-defined parameters that influence the segmentation result. A crucial task of the model relies on a skeletonization-like algorithm that collects useful information about the segments’ thickness, length, etc. Length, thickness, and gradient information of the pixel intensity along the segment helps to determine whether the extracted segments have a tubular structure, which is assumed to be the case for vessels. In this work, we show how the results are derived and that the MSRG algorithm is capable of extracting vessel-like segments even from noisy MR images.
DESIGNING ANDROID-BASED 2D GAME TO INTRODUCE TOURISM POTENTIAL IN JOMBANG REGENCY

: Jombang has many variety of tourism potentials that are not widely known by public and potential tourists, the gap in the number of visitors between one tourist spot and another is clearly visible. It could happen because of lack of tourism promotion activities carried out by the Jombang Regency Government. To assist government efforts in introducing tourism potential in Jombang Regency, it is necessary to have an effective media that capable of quickly convey any information in this modern times. One of them, is game media by delivering information through audio, visual, and user interaction to attract potential tourist’s attention. This design intend to make Android-based 2d game that can provide general information about tourism potential in Jombang Regency. The design method used in this research is Sutopo’s version of the MDLC method which adopts the Luther methodology. This method has six stages, namely concept, design, material collecting, assembly, testing, and distribution. This design produces Android-based 2d game which contains general information of tourism potential in Jombang Regency. In addition, it is accompanied by trailer, poster, and stickers to support the introduction of tourism potentials in Jombang Regency. The final result of this design is expected to help introduce the tourism potentials in Jombang Regency in efficient and effective way. abstract not exceeding 250 words should appear here. It should clearly reflect the contents of the paper.
Network Security Policy for Higher Education Institutions based on ISO Standards

Computer network plays a very important role in any organizations or institutions. It becomes a necessary tool, useful for communications, and can be utilized in storing data in various forms and at various locations. However, it intrinsically at risk to breaches from both internal and external attacks, and because of that, there should be an appropriate implementation and management of the network and its security. The study aimed to assess the employed network security of the higher education institutions (HEIs) and check if they conform to the six parts of ISO 27033 international standards. Standardized ISO 27033 assessment questionnaire was the main tool in gathering the data and the respondents were the network security team members of the five (5) HEIs. Results showed that HEIs did not mostly conform to the ISO 27033 requirements. Hence, to have a better guide and implementation of the institutions network security, a network security management policy based on ISO 27033 must be in place.
THE ANTI-PLAGIARISM EVALUATION IN THE MEDICAL UNIVERSITY: PRIMARY RESULTS IN TERMS OF ACADEMIC INTEGRITY

Introduction. Anti-plagiarism evaluation is an integral component of the system of educational and scientific activities in particular and higher education in general. Modern areas for combating academic plagiarism include programmatic verification, optimizing the evaluation by implementing new algorithms, applying online and desktop software based on academic integrity strategies. This is why the process of technical verification of scientific papers requires significant time and physical resources. Aim. To optimize measures used to eliminate academic plagiarism based on the analysis of initial results and the experience of anti-plagiarism evaluation in terms of the implementation of academic integrity principles. Material and methods. The Code of Academic Ethics of Lviv National Medical University (LNMU) determines basic concepts and the task of academic integrity, regulates basic principles of organization and control. According to the Law of Ukraine “On Higher Education” and applicable orders, university standards and regulations, LNMU Scientific Department conducted an expert assessment and plagiarism evaluation of 5992 scientific and methodological papers submitted for 3 years. The evaluation of all scientific papers in terms of academic integrity is carried out considering the percentage of uniqueness and results of direct semantic analysis. The comparative pedagogical analysis of primary results was also conducted. Results. Unichek, Plagiarism Detector Pro, Viper, Antiplagiarism.NET, etc. and free Advego Plagiatus software is used at the university based on the shingle method for plagiarism detection. Links to software and services for initial verification of scientific papers for plagiarism are included in the LNMU methodological guidelines to provide technical support of scientific and educational work assessment. In 954 small and medium length scientific papers (15.92% of the total sample), violations of scientific communication were found: copying, signs of the conflict of interest. 778 (12.98%) of abstracts and articles were finally rejected (as a result of refusal to revise and negative results of the repeated evaluation. Conclusions. Primary results of anti-plagiarism evaluation cause concerns in terms of their academic integrity: higher incidence of self-plagiarism and replications of scientific research results in articles and abstracts of young scientists. It is crucial to comprehensively and fully review documents determining plagiarism prevention and establishing responsibility for academic plagiarism, specifying the procedure for considering appeals
Comprehensive Study of Failed Machine Learning Applications Using a Novel 3C Approach

The machines have had quite an aggressive evolving curve in the past few decades in many terms. One of the initial definitions of machine learning was given as, “Field of study that gives computers the capability to learn without being explicitly programmed” by computer scientist Arthur Samuel in the field of AI. The top block is the consolidation block, followed by classification block, and finally case study by case study, various machine learning (ML) failures have been studied and discussed. In case such a framework is appropriate and effective enough for being a de facto failure analysis framework among ML engineers, then in those cases this would make the communication related to failures between ML professionals and researchers clear, standardized, easy and extensible. Facebook allows the world’s largest social network enabled advertisers to direct their pitches to the news feeds of a category of people.
MANAGEMENT OF CONFLICTS IN SENIOR SECONDARY SCHOOLS IN ILORIN: IMPLICATIONS TO EDUCATIONAL MANAGEMENT

This paper examines management of conflict in senior secondary schools in Ilorin: implications to Educational management. A literature review was carried out which led to the understanding of the concepts.  Ten (10) senior secondary schools were selected 52 through the stratified random sampling technique out of 18 senior secondary schools while a sample of two hundred respondents made up ten (10) teachers and ten (10) students from each of the ten schools of selected through the simple random sampling technique was used for the study. A self-designed questionnaire conflicts and school activities questionnaire (CASAQ) which was validated was used. The researcher administrated and collected the questionnaires while data collected was analyzed with both the descriptive and inferential statistics. The finding revealed that, causes of conflicts among students in secondary schools include: high handedness of students, strict application of rule and regulation, incompetence of principals’ inadequate physical facilities, permeation of neighborhood conflicts into the school, inadequate social amenities, communication gap, indiscipline and inferiority/ superiority complex amongst students. The paper gave the causes, effects and management of conflicts among students in secondary schools include: high handedness of students, strict application of rule and regulation, incompetence of principals inadequate physical facilities, permeation of neighborhood conflicts into the school, inadequate social amenities, communication gap, indiscipline and inferiority/ superiority complex amongst students.
A New Hybrid GA based Optimal Regression Technique for Software Effort Estimation

Whenever software is developed, certain parameters like time consumption, capability of developer, cost assumption and database size must keep in mind for a good outcome. Hence accurate estimation of cost or effort is a very important point in making or designing of software. Over-pricing or under-pricing of a software eventually leads to the greater loss. Many prediction models are designed to estimate software cost, but due to lack of good quality dataset their performance are not good. In this paper, a new model is designed which try to remove the problem of existing unbalanced dataset and make model more generalized. Here Genetic algorithm is used to optimize linear regression by eliminating less informative feature parameters. Three dataset are used to check the proposed model. Root mean square error and mean relative error are used to evaluate model efficiency.
ENGLISH CROSSWORD PUZZLE GAME APPLICATIONFOR CHILDREN BASED ON WEBSITE

English is the most language widely used in communicating internationally and it will be easier for children learn it from an early age. However, generally children have difficulty in learning a foreign language, especially English. Therefore, a fun learning method is needed. The method which is most favoured by children is by applying learning English using a game method. This research aims to analyse the impact of using of website-based education application for improving English towards children. By using waterfall method, this research was conducted to find out the results.The game created will run on an Android-based smartphone. The result exhibited that Website-based education application is able to be used to help children learn English. Another result also show how English education application can help support the memory of children who are still very much sensitive to what is seen. With the help of pictures, children will learn quickly.
Dental treatment orientation for children using role playing game / Daniella Farisha Mohd Zamri … [et al.]

Dentistry is the act of practicing the diagnosis, prevention, and treatment of diseases, injuries and disorders of the teeth and surrounding structures of the oral cavity. Dental need is connected to one’s health so it is importance to take care of it. However, some children get too anxious at the mention of dental treatment making dental visits a hard work. Some also lack awareness about the importance of dental health and why they should visit the dentist. Therefore, the goal of the developed game is to help the children reduce their fear of going the dentist by demonstrating the procedures through an enjoyable orientation using Role Playing Game. Modified Waterfall Model has been chosen as the methodology for this project because whenever required, the phases in this model can be overlapped. Hence, the development for this project was flexible as few tasks were conducted concurrently. Game elements such as challenge, rule, reward, theme, and progress are employed in the game. The platform chosen for the game is a stand-alone on personal computer. The genre of the game is Role Playing Game where the player controls a character that has to accomplish few missions during their trip to the dentist. Usability testing for the developed game involves six participants. The result of the test shows a positive result as most of the participants enjoys the game. They were satisfied with the content of the game and state that this game managed to reduce their anxiety of going to the dentist. However, the majority of the respondents requested more missions and mentioned that the instruction in this game can be quite unclear. Further enhancements can be added to the game such as adding multiplayer function, character customization, and scoreboard features. To conclude, the game has been successfully designed, developed and tested therefore achieving all the objectives of this project.
9 Justice after COVID-19

This chapter gives some consideration to what social, political, and economic changes need to be made, domestically and globally, after this pandemic crisis is over. If everything post COVID-19 goes back to being essentially similar to life pre COVID-19, we will have wasted a unique opportunity to eradicate some of the worst underlying conditions of social injustice which inflict misery on billions of people across the globe. There are at least four main lessons we must learn from the COVID-19 crisis. First, the importance of politics. Second, the necessity of a well-funded state. Third, the imperative to raise taxes to give the state adequate resources. Fourth, the requirement to introduce new radical social and economic reforms.
Global quantitative model of chemical weathering intensity

Global quantitative estimation of intensity of recent processes of chemical weathering and connected with that newly formed secondary minerals is given. Shows that all clay and at least 50% of silica deposits of actual sedimentary rocks of Earth crust represent the hydrogenous product of interaction processes between natural waters and erupted mountain rocks during the period of the Phanerozoic.
Getting across in medical communication: A corpus-based approach to analyze and improve the comprehensibility of machine translation

In medical service contexts, especially in migrant- and refugee-receiving countries, the increasing need for inter-lingual communication and the higher cost of human translators has driven the development of machine translation technologies and tools. However, these tools’ reliability and efficiency are questioned (Patil et al. 2014; Bouillon et al. 2017), which calls for objective evaluation to ensure and improve the quality of translation results. The present study aims to provide a data-driven empirical evaluation of the linguistic similarity of the French source speech data and their English translations produced by machine translation and identify the main areas in which MT output deviates from natural oral English. Using corpus statistical methods, the evaluation of machine translation outputs can provide concrete and objective feedback for future machine translation improvement. For future research, this model can be trained with larger datasets.
Analysis of ESP Mixed Teaching Mode in Mobile Environment Based on Multi-mode

In higher education, English teaching is extremely important, for students in the context of economic globalization learning work has an important significance.At present, smart phones have become the main carrier of mobile learning and reshaping learning behavior.In this paper, ESP Mixed English teaching mode in multi-modal "mobile" environment is analyzed.