Reviewerly/exHarmony huggingface dataset:
Cybercrime and Terrorism Financing: Nigeria's Potential Vulnerabilities and Policy Options

Terrorism financing and the ways in which it intersects with organised criminal activities including drug trafficking, arms trafficking, trafficking in persons/smuggling of migrants, and kidnapping-for-ransom is increasingly attracting the attention of scholars and the international community.What is less explored however are the ways by which cybercrime facilitates terrorism financing globally.This paper attempts to fill this gap by utilizing secondary data from international, regional and national organisations as well as scholarly articles on the subject through content analysis to explaining the nexus between cybercrime and terrorism financing with specific emphasis on Nigeria.Understanding the linkages between cybercrime and terrorism financing is important for developing effective policy measures aimed at preventing and mitigating the negative impacts of these innovative crimes.The analysis revealed the mysterious links between cybercrime and terrorism financing in terms of how the former is feeding the latter through multiple channels including supply of funds from proceeds of cybercrime, as well as by making funds transfer among terrorist groups easier.The paper also highlights potential vulnerabilities in Nigeria's critical infrastructure including computer systems and networks, computer programmes, and communication systems; defence, banking, energy, and oil and gas, as well as potential vulnerabilities among individual internet users and the private sector which may be exploited by cybercriminals in conjunction with terrorist groups in the country.It concludes by proffering some policy options including boosting partnerships between law enforcement, the academic community and the private sector towards understanding and reducing cybercrime and terrorism financing in Nigeria.
Multi-Source Domain Adaptation in Sentiment Analysis using Optimized Neural Network and Cross-Domain Semantic Library

Nowadays, the rapid growth of internet has led to the way for easiest data generation.Sentiment Analysis (SA) is necessary to scrutinize the user-generated data for classifying the sentiment polarity into anyone of the two classifications (negative and positive).SA is implemented by machine learning techniques and lexicon oriented techniques.However, the traditional SA models could not deal with missing labelled data and internet slang data.This paper aims to propose a new multi-source sentiment analysis model that includes six stages to perform the task of domain adaptation.For checking similarity between statements, higher order statistics based on text features is exploited.The higher order statistics based features extraction includes use of modified cross entropy measure.Remaining features are then given to proposed classifier that predicts the polarity of target domain in a precise way.For classification purpose Neural Network (NN) is exploited.Particularly, the weights of NN are tuned in an optimal manner using Improved Grey Wolf Optimization (IGWO) algorithm, which is the enhanced version of GWO algorithm.Finally, the performance of the proposed model is compared over several conventional methods of domain adaptation and gained an improvement of 28% to 6% in accuracy.
Analysis Of Fundamental Factors In Planning And Teaching Conversation (keith s. Folse overview)

bstract:&#x0D; Conversation is part of speaking skill. Speaking is one of the&#x0D; English skill that must be taught since Junior High School. Teaching conversation&#x0D; needs hard work, the teachers should know everything related to the teaching.&#x0D; There are many factors influnce&#x0D; the teaching of conversation. According to Folse&#x0D; the one who has taught ESL / EFL for more than thirty five years in some&#x0D; countries. He has written many books on vocabulary, reading, speaking, writing,&#x0D; grammar, and listening, including the popular Great Wr&#x0D; iting series or Heinle&#x0D; Cengage. He has won many teaching and research awards said that there are five&#x0D; fundamental factors in planning and teaching conversation class such as&#x0D; learner’s age, profeciency, level, and goal; the school curriculum; the topic bein&#x0D; g&#x0D; discussed; the two language in the task and for the task, and the activity serves as&#x0D; vehical for conversation.&#x0D;
Copy-Move Forgery Detection Based on Pyramid Correlation Network

Block-based image copy-move detection algorithms disregard the spatial layout of the features, leading to the poor detection performance under small-region tampering samples. Therefore, we propose a pyramid correlation network (PCNet) for copy-move forgery detection, whose goal is to obtain rich and detailed image representation via a pyramid cascaded correlation architecture. Experimental results show that PCNet outperforms the comparison algorithm on USCISI, CASIA and CoMoFoD data sets. Compared to the benchmark model BusterNet, F1 scores of PCNet has increased by 33.84% and 30.62% on CASIA CMFD dataset and CoMoFoD dataset respectively.
Gaming Sentiment: The Relationship of Comment Sentiment and Subscriber Growth Rate

The following research paper explores the potential relationship between comment sentiment and subscriber growth rate on YouTube gaming channels. This study aims to discover if the effect that YouTube comments have on users’ perceptiveness of video content extends to their decision in subscribing to those channels. A sentiment analysis was utilized using Python programming in order to derive the data from various YouTube comment sections. This was compared with the monthly subscriber growth of each channel studied. Results indicate that there is no correlation between comment sentiment and subscriber growth rate for YouTube gaming channels. This implies that gaming content creators should not be wary of the positive or negative comments within their video comment threads and should focus on other areas to grow their channel. However, further research is required in order to verify the results of this study.
Analysis of Gap between Expected and Achieved Levels of Skills related Learning Outcomes of Graduates

Learning outcomes are the written statements that inform learners what they will expect toachieve at the completion of a programme.By following the Bologna process, Pakistan Higher Education Commission established its national qualifications framework (NQF).The aim of this study was to assess the skills related learning outcomes of graduate programme.Current study was conducted in two phases (phase-1 quantitative, phase-2 qualitative) by using confirmatory mixed-methods research design.Plan of the study was to collect data from 720 graduates (for phase-1) and from 96 faculty members (for phase-2) selected through multistage sampling technique from four public universities.A self-developed questionnaire and semi structured interview schedule were employed to collect the data.Due to COVID-19 pandemic situation, questionnaire was converted into Google forms.Ten hundred and twenty seven (1027) filled in questionnaires were received.While, interviews were conducted physically.Results of the study showed that graduates achieved high level of skills-related learning outcomes while faculty members proclaimed that graduates level of achievement was medium level.Results of one sample ttest indicate that there was no significant relationship between the actual achievement of graduates and their expected level of skills related achieved learning outcomes.
EDUCATIONAL PROSPECTS OF THE PRACTICAL SOLUTION OF PERSONAL ONTOLOGICAL INSECURITY

The article considered the problem of ontological insecurity of man and the optimal educational options for its solution.The history of the concept of "ontological insecurity" in the works of R. D. Laing, A. Giddens and J. Young was considered.It is revealed that the ontological insecurity of a person is caused by macrosocial factors (migration, war, pandemic, social crisis).Adverse communication and family relationships are microsocial factors in person's ontological insecurity.The separate directions of psychotherapy of the ontologically insecure person were analyzed.The author considered possibilities of psychotherapeutic intervention in the correction of psychological consequences of staying in distorted family systems (M.Bowen).Family therapy, based on Bowen's theory, aims at increasing the level of differentiation of the self in the client's emotional system, leading to a decrease in the manifestations of somatic, psychological or social symptoms.In the 1970-80s, family psychotherapy was embraced by the process of changing orientation from psychoanalysis and behaviorism to a more cognitive model.The study found that the solution of the problem of ontological insecurity of the person lies in the plane of realization of educational, psychological educational programs.Work to reduce ontological insecurity can be carried out by psychological services of educational institutions, which offer free assistance (trainings, consultations) with elements of individual and family therapy to all participants in the educational system.
Intelligent Traffic Management Support System Unfolding the Machine Vision Technology Deployed using YOLO D-NET

The intelligent transport system aims to control congestion and enhance the driving experience through a variety of technologies and communication systems.They provide us a lot of data which can be fed to machine learning technologies to provide further enhanced services to the common public as well as the transport officials.In this busy modern world, the usage of vehicles is highly increased and thus monitoring and detecting these vehicles onboard with better accuracy and less time cost is quite a challenging task.We propose an intelligent traffic management solution to detect vehicles (static and onboard) which finds its set-about in the field of machine vision technology called YOLO D-NET (You Only Look Once Dilated Net).YOLO D-NET puts forward a novel architecture which incorporates the implementation of traditional YOLO model alongside of dilated Convolution Neural Network (CNN).Our paper also focuses on making a constructive comparison between the four different models namely SSD (Single Shot Multibox Detector) Inception, Faster R-CNN (Region-based CNN), YOLO ResNet (Residual Neural Network) and the proposed model YOLO D-NET.We have used the predefined COCO (Common Objects in Context) dataset and the custom dataset to train the traditional models.Also YOLO D-NET makes use of the predefined YOLO weights followed by the dilated CNN layers.Our proposed model was found to be 97.5 percent accurate with enhanced precision and accuracy than the other models particularly with less training time than the traditional YOLO model.
An Innovative Method of Estimation Hewing for Invention Report Mining and Estimation Summarization

With the assistance of Web 2.0, the bases on client interest, posting on the web surveys has become an undeniably mainstream path for individuals to impart their perspectives to different client’s suppositions and conclusions toward items and administrations. It turns into a typical practice for online business sites to give the offices to individuals to convey and distribute their audits between them. These online audits present an abundance of data on the Services and Products, which will encourage the improvement of their business. Consequently a developing number of late examinations have been centred on the Opinion Mining. For example the Opinion Mining alludes to computational method for assessing the sentiments that are mined from different Web Sources.&#x0D; A couple of Opinion Mining based techniques have been considered and broke down. From our investigation, it is seen that a couple of feeling mining based directed and unaided techniques had not delivered great outcomes because of alluding less number of sentiments inside a similar URL’S and treating the highlights with comparable significance as various. To beat this issue, Topic Anatomy Model TSCAN was proposed, where the Task is called as Topic Anatomy and which sums up and relates the primary pieces of a point with the goal that the per users could comprehend the substance without any problem.&#x0D; By utilizing this model, the more data can be removed and related through their transient closeness, which will give conceivable substance. This model is including imperative part in the Opinion Mining since clients can impart their insights about the items. From our usage, it is seen that this plan gives the best reasonable answer for the client’s advantages and requests. Notwithstanding, it burns-through more opportunity to anticipate the best performing items because of huge informational collections respectively.&#x0D; Consequently our exploration work is proposed and actualized a productive strategy for Opinion Mining called an Efficient Parallel Opinion Mining (EPOM) constructed TSCAN Algorithm separately. It is centring more sites and it is removing more data in equal way, so we can get advanced productive outcome with least execution time. From our outcomes, it is noticed that it gives the best reasonable answer for the client’s advantages and requests and it I s improving the presentation of existing method regarding Quality of Information, Prediction and Execution Time.
Improved Clustering Using Deep Learning Model on Water Resource Engineering

In recent decade, there has been an abundant generation of high-dimensional data in larger volumes while measuring the water resource environment.This environment consists of large spatial areas with high resolution and high temporal data, where such collection needs to be summarized.In this paper, we develop a deep learning model to recognize the meaningful relationship between the objects in data during decision-making process.Appropriate extraction of meaningful relationship using deep learning reduces the redundant information that provides inter-variable relationships and characteristic patterns.The deep learning framework recognizes the patterns via clustering the data that provides better understanding of objects.The experimental results are conducted with various training options and parameter selection on the information extracted.The results of simulation shows that the proposed deep learning model achieves improved clustering than other methods.
THE EFFECT OF THINK PAIR SHARE (TPS) LEARNING MODEL ASSISTED BY MEDIA INTSTRUCSIONAL VIDEO AND INTERPERSONAL INTELLIGENCE ON STUDENT LEARNING OUTCOMES IN SOCIAL STUDIES SUBJECTS IN CLASS VII OF SMP NEGERI 4 PERCUT SEI TUAN

The objectives of this study were to determine the differences in social studies learning outcomes taught by the TPS model and the TPS model assisted by video media for students to determine the difference in social studies learning outcomes of students who have high interpersonal intelligence with students who have low interpersonal intelligence in students. And then this is to determine the interaction between learning models and interpersonal intelligence in influencing student learning outcomes in social studies subjects for students. The population in this study were all class VII students of SMP Negeri 4 Percut Sei Tuan T.A 2020/2021, totaling 126 students divided into four classes, namely, class VIIa, VIIb, VIIc and VIId. The experimental class was given learning treatment with the Think-Pair-Share (TPS) learning model and the control class was given the Think-Pair-Share (TPS) learning model assisted by video learning media. The instruments used consisted of: social studies learning outcomes test. Data analysis was performed using two-way ANOVA. From the description above it can be concluded that: There is a significant difference in social studies learning outcomes that are taught using the TPS model and the TPS model assisted by video media for the seventh grade students of SMP Negeri 4 Percut Sei Tuan. There is a significant difference in social studies learning outcomes of students who have high interpersonal intelligence and students with low interpersonal intelligence in students who are taught using the TPS model assisted by video media. There is an interaction between the learning model and interpersonal intelligence in influencing student learning outcomes in social studies subjects in class VII students of SMP Negeri 4 Percut Sei Tuan.
Vision-Guided Recognition Method for Working State of Robot Arm based on Machine Learning

To realize the capture of the target in any position within the working range of the robot arm, a vision-guided target recognition and positioning control method based on machine learning was proposed to improve the accuracy of the working state recognition. The system grabs four different contours of workpieces (triangle, pentagon, round, square and place in the designated area as the task, and by using the MATLAB to process the image information, and all the connected domains are marked bythe neighborhood areamarking algorithm. Later, the logarithmic coordinates-Fourier transform template matchingmethod is adopted to identify workpiece types and extract their centroid as the positioning reference coordinates.Combined with the 3-DOF robot arm, the standard D-H parametric method is usedto establishthe robot arm kinematics model, and through the inverse operation of the robot armand according to the position of the workpiece coordinates,the joint angle of each robot arm can be obtained. Later, it is sent to the lower microcontroller Arduino through a serial port, and then the control instruction is completed by the Arduino torealize the capture and placement of the workpiece and complete the work state recognition task.The experimental results show that the working state recognition system can meet the design requirements.
Features of organization of educational activities in an educational institution of the same type

The article is devoted to the study of the peculiarities of the organization of educational activities in an educational institution of the same sex type.The aim of the study is to develop scientific provisions and methodological support for the organization of educational activities in an educational institution of the same sex type, taking into account the characteristics of students.The object of the research is the system of educational work in educational institutions of vocational education.The subject of the research is the organization of educational activities, taking into account the characteristics of the same-sex group.When conducting the study, the authors used methods of activity analysis, document analysis, sociological survey and comparative data analysis.Based on a survey of 40 students of the Sverdlovsk Male Choral College, the authors studied the values of life; satisfaction with the conditions created in the college for the development of creative potential; orientation towards professional development; experience of socially active activity; level of goal setting.When interviewing 106 people (teachers, students and their parents), the authors determined the impact of the events held at the College on the formation of general competencies.The results obtained allowed us to conclude that when planning educational activities in college, it is necessary to take into account: the interests of all participants in the educational process; provide the opportunity to participate in college activities for each student, depending on his skills and needs; analyze the repertoire of cultural institutions offered to students; develop a volunteer movement in the direction of the professional interests of students; improve the preparation and conduct of sporting events.Based on the results of the study, we proposed the Concept of the educational activities of the College.The research results can be used in the development and
REPRESENTATION OF THE ANCIENT MYTH ABOUT HYPERION IN MODERN GRAPHIC LITERATURE

The article aims to investigate the peculiarities of the new myth about Hyperion embodied in Marvel's periodical graphic literature in comparison with the tradition of literary interpretations of the traditional Titanomachy myth.The article considers graphic literature to be a developing intermedial genre gaining popularity among readers, although underestimated by scholars.The interconnections between the comics and romantic and postmodern literature are studied.It is also highlighted that borrowings from European literature are a characteristic feature of American cultural tradition due to the lack of its own ancient basis.The article also traces the influence of modern comic tradition on reconsidering the ancient story about a rebellious titan.Functioning of superheroes as role models for the youth, the tendency for comic authors to depict conventional characters being close to modern realia and understandable for mass readers comes into the focus of the research.Thus, a new myth about Hyperion of the XXI century is created, in which the main character becomes a combination of such iconic images as Prometheus and Superman, reconsidered in the way making it possible for the image to serve the agenda and ideology.
Penerapan Model Pembelajaran Interaktif untuk Meningkatkan Aktivitas dan Hasil Belajar Matematika Kelas V Sekolah Dasar

&lt;p&gt;&lt;em&gt;The formulation of the research problem is how the learning process, increasing student activity and learning mathematics outcomes through interactive learning models. The research subjects were fifth grade students of SD Negeri Sarireja 01. This research was a classroom action research conducted in 2 cycles. In the first cycle, the average student activity score obtained was 12.9 in the medium category. In cycle II, the average score of student activity was 17.3 in the high category. The increase in student learning outcomes can be seen from the average formative test scores that the researchers gave at the end of each cycle and the percentage of complete learning. In the first cycle, the percentage of students who finished studying was 57.9%. In the second cycle the percentage of students who completed 73.7%. Mastery learning reached 73.7%, exceeding the success indicator, namely learning mastery up to 68%. The conclusion in this study is that the interactive learning model can improve the quality of learning, student activities and learning outcomes of mathematics in the matter of calculating the volume of blocks and triangular prisms&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
First session of a new seminar on the history of modern philosophy

Report on the first session of the seminar “Philosophia perennis” (“Evolution of the concept of consciousness in modern philosophy”) organized by the journal Sententiae in collaboration with the Union of Researchers of Modern Philosophy (Pascal Society) and the Kant Society of Ukraine (August 10-12, 2021, Odesa).
Training About Submitting Scientific Articles through OJS (Online Journal System)

The partner in this training was the Faculty of Economics and Business, Universitas Labuhanbatu. The partner's problem was that there were many students who have difficulties regarding the procedure for submitting scientific articles. Therefore, this problem made students difficulty in publishing their scientific work. This training was conducted to transfer knowledge regarding how to submit scientific articles, and also aims to improve students' ability to submit scientific articles. The method used was the lecture method and practice. Approximately 18 students participated in the training. After the workshop or training program, the participants' knowledge and skill to submit the article were more improved.