Reviewerly/exHarmony huggingface dataset:
EFFECTS OF TEXT MESSAGING ON THE ACADEMIC WRITING OF PRE-SERVICE TEACHERS OF A GHANAIAN COLLEGE OF EDUCATION

The purpose of this study was to examine the effects of text messaging on the academic writing of first-year pre-service teachers of Offinso College of Education. Empirical studies on the use of text messages in specific cultures were reviewed in order to demonstrate how the present study is both similar to and different from previous research. Descriptive survey research design was employed by the researchers to conduct this study. The student population for the study was 350. Quota sampling and simple random sampling techniques aided the researchers to select 50 pre-service teachers for the study. The instruments used were questionnaires, interviews and essay-type tests. The study revealed that the vocabulary items students used in their SMS texting contained numbers, reduction, clipping and shortening, and that the use of these vocabulary items had a negative effect because these items found their way into the academic writing of students. The researchers recommend that college tutors should sensitize the pre-service teachers on the need to avoid SMS language in their academic writings to help them overcome the menace. To curtail everything, they should text using Standard English to avoid being addicted to texting language.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0017/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Air Writing and Recognition System

Abstract: A revolutionary method that enables users to write in the air using hand gestures and precisely recognizes finger movement is the air writing and recognition system using the MediaPipe module. A new method that enables users to write in the air using hand movements while AWS Textract accurately translates and converts the written language is to use AWS Textract for air writing detection and recognition. It uses machine learning techniques to examine how the hand landmarks move over time and recognize various gestures. The system is an effective and user-friendly solution for jobs requiring text input and air writing due to its real-time tracking and precise recognition capabilities.
From shallow sea to deep sea: research progress in underwater image restoration

Underwater images play a crucial role in various fields, including oceanographic engineering, marine exploitation, and marine environmental protection. However, the quality of underwater images is often severely degraded due to the complexities of the underwater environment and equipment limitations. This degradation hinders advancements in relevant research. Consequently, underwater image restoration has gained significant attention as a research area. With the growing interest in deep-sea exploration, deep-sea image restoration has emerged as a new focus, presenting unique challenges. This paper aims to conduct a systematic review of underwater image restoration technology, bridging the gap between shallow-sea and deep-sea image restoration fields through experimental analysis. This paper first categorizes shallow-sea image restoration methods into three types: physical model-based methods, prior-based methods, and deep learning-based methods that integrate physical models. The core concepts and characteristics of representative methods are analyzed. The research status and primary challenges in deep-sea image restoration are then summarized, including color cast and blur caused by underwater environmental characteristics, as well as insufficient and uneven lighting caused by artificial light sources. Potential solutions are explored, such as applying general shallow-sea restoration methods to address color cast and blur, and leveraging techniques from related fields like exposure image correction and low-light image enhancement to tackle lighting issues. Comprehensive experiments are conducted to examine the feasibility of shallow-sea image restoration methods and related image enhancement techniques for deep-sea image restoration. The experimental results provide valuable insights into existing methods for addressing the challenges of deep-sea image restoration. An in-depth discussion is presented, suggesting several future development directions in deep-sea image restoration. Three main points emerged from the research findings: i) Existing shallow-sea image restoration methods are insufficient to address the degradation issues in deep-sea environments, such as low-light and uneven illumination. ii) Combining imaging physical models with deep learning to restore deep-sea image quality may potentially yield desirable results. iii) The application potential of unsupervised and zero-shot learning methods in deep-sea image restoration warrants further investigation, given their ability to work with limited training data.
Text Recognition Using Image Processing Technology for Visiting Card

Abstract: Image recognition and optical character recognition technologies have become an integral part of our daily lives due to increasing computing power and the proliferation of scanning devices. A printed document can be quickly converted to a digital text file using optical character recognition and edited by the user. The time required to digitize documents is therefore minimal. This is especially useful when archiving large print volumes. In this study, we show how image processing techniques can be used in combination with optical character recognition to improve recognition accuracy and improve efficiency in extracting text from images. Two of his software systems are developed and tested in this study: a character recognition system applied to cosmetics-related advertising images and a recognition and text recognition system for natural scenes. Experimental results show that the proposed system can accurately recognize text in images. Keywords: Image processing, Text detection, Visiting card, Optical character recognition (OCR),Named entity recognition (NER),Computer vision, OpenCV, Pytesseract, Tesseract OCR engine, Grayscale conversion, Noise removal, Thresholding, Named entities, Business name extraction, Owner name extraction, Address extraction, Contact number extraction, Email address extraction, Website extraction, Data categorization, Information extraction, Data organization, Spreadsheet integration, Accuracy enhancement, Efficiency improvement, Error reduction, Python programming, Data processing, Data extraction, Text extraction
Comparison between chemical and mechanical ways of removing thrombus in vivo micro robot

The application of micro-robot in precision medicine is increasing in recent years. Since the particularity of the location of thrombus diseases, it is difficult to remove thrombus by operation, and it may cause some harm to the implementers of the operation. As the size of micro-robots in the body continues to shrink and the accuracy of operation continues to improve, they are expected to reduce the harm of thrombotic diseases to patients and reduce the possible impact by removing thrombus. In this review, we will mainly compare the principle, manufacturing and driving data of two kinds of in vivo micro-robots that remove thrombus chemically or mechanically, and analyze their time and effect of removing thrombus. Several typical in vivo micro-robots used to remove thrombus are discussed and analyzed. Some of their advantages and disadvantages are demonstrated, and the future development direction of in vivo micro-robots for removing thrombus is prospected and some suggestions are put forward.
Specifics of the task-based approach as a methodological basis in developing educational materials for higher education institutions

The article deals with the task-based approach as a methodological basis in developing professionally oriented learning materials for students of higher education institutions.The authors point out the difference between the interpretation of the task-based approach given by the foreign pedagogical community, which considers it exclusively within the framework of foreign language teaching with a focus on its applied application in the ongoing activities (the language "in action"), and its definition with deep theoretical reasoning offered by domestic researchers.The article emphasizes mixing of the concepts "task-based approach" and "problem approach", leading to their confusion; it presents their characteristics, identifies differences and similarities, shows variants of their application in development exercises in educational didactics.Particular attention is paid to the formation of the task-based approach under the influence of different psychological theoriesthe mechanistic theory of determinism, Gestalt-theory, theory of reflection, theory of activity.These theories define differently the nature of the task itself, the mechanism of its solution and the role of personal characteristics of the solver.That is considered significant in developing the concept of professionally oriented didactics within the task-based approach.It is about the movement from CITISE http://ma123.ruЦИТИСЭ №1 (35) 2023
E-learning Challenges in the Era of Covid-19: The Georgian Case

Digital literacy became an essential skill for learning, living and working. Therefore, the Internet remains a main part of modern life, constantly evolving and facilitating people’s lives. The global Covid-19 pandemic has made the issue of effective use of information and communication tools and proper possession of digital skills and its importance even more urgent. Higher education around the world has largely shifted to a distance/online-learning format. Covid-19 pandemic has affected many countries on a large scale, and Georgia's higher education system was no exception. Due to the wide-scale spread of the virus and in order to reduce the disastrous consequences, the state decided to continue education throughout Georgia remotely through online learning platforms, which posed a number of challenges for representatives of higher education institutions, as well as academic staff and students. The transition to online teaching has also created problems in the process of fully implementing student support activities. As the university mandates the creation of a student-friendly environment, to offer relevant services, to inform and support students with low social status and students with disabilities, it became a great challenge for Georgian universities to provide socially disadvantaged students with the resources needed for E-learning. The study is about Georgian case, how effective Georgian government managed learning prosses in the period of Covid-19 pandemic; What kind of challenges students had in this period and what are their vision regarding the online learning and its perspective for future development of teaching/studying process.
A critical investigation analysing the key determinants of artificial intelligence in enhancing employee engagement in multinational companies

The objective of the study is to determine whether artificial intelligence (AI) tools, software, and technology can assist management in identifying intangibles such as the employee engagement level and offer hints as to what factors influence it and how management can work to enhance it. A descriptive study was carried out to better understand the research topic. A structured survey questionnaire was employed to collect the data, in which the closed-ended questions used a Likert-type scale. The questionnaire measured AI’s effects on productivity, organisational effectiveness, employee satisfaction, and employee engagement. The survey was published on Google Forms, and a link was provided to the respondents. The data were analysed using the Statistical Package for Social Sciences version 28. Statistically significant results were obtained on the association between AI and the determinants of organisational effectiveness, increased productivity, employee satisfaction, and employee engagement. AI thus influences the study variables, and the results are statistically significant. The employees of an organisation will adopt and use new technologies if the technology is easy to use and adopt and beneficial to them. The management of organisations can source technologies like AI and other tools that are easy to use, and they can implement such technologies in a phased manner, educating employees on the advantages and benefits of the technology to maximise employee engagement.
MEANING EXTRACTION OF SYNONYMS AMONG ADVANCED ARAB-ENGLISH TRANSLATORS: A PILOT STUDY

This pilot study examined the semantic extraction process of L2 English synonyms during the dictionary consultations and the associated challenges involved in the process among four Arabic-English translators, and whether such a process is influenced by the mother tongue. Participants were provided with dictionary definition excerpts of synonym pairs, one pair at a time, to examine and write down any differences in meaning, to report on any meaning extraction challenges, and to provide translation equivalents. The results indicated that participants did not demonstrate any distinctions between the target synonyms which suggests that dictionary definitions did not provide enough disambiguation criteria for synonyms and that is exactly what was expressed in the interview data. Finally, cross-linguistic effects were not found in the data. However, participants produced more accurate responses than the semantic English task which suggests that translators link L2 synonyms to their Arabic translations rather than their L2 definitions.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0008/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem

Evolutionary algorithms have been shown to obtain good solutions for complex optimization problems in static and dynamic environments. It is important to understand the behaviour of evolutionary algorithms for complex optimization problems that also involve dynamic and/or stochastic components in a systematic way in order to further increase their applicability to real-world problems. We investigate the node weighted traveling salesperson problem (W-TSP), which provides an abstraction of a wide range of weighted TSP problems, in dynamic settings. In the dynamic setting of the problem, items that have to be collected as part of a TSP tour change over time. We first present a dynamic setup for the dynamic W-TSP parameterized by different types of changes that are applied to the set of items to be collected when traversing the tour. Our first experimental investigations study the impact of such changes on resulting optimized tours in order to provide structural insights of optimization solutions. Afterwards, we investigate simple mutation-based evolutionary algorithms and study the impact of the mutation operators and the use of populations with dealing with the dynamic changes to the node weights of the problem.
KATNISS’S REBELLION IN THE SUZANNE COLLIN’S THE HUNGER GAMES NOVEL

This study is propose to reveal find out what kind of rebellion the main character did. The purpose of this study is to analyze rebellion based on inhumanity. And to analyze the rebellion in the novel The Hunger Games (2008). Data collection is by regularly reading novels and understanding the contents of the novel, then finding some existing data. The theory used to analyze the data uses a behavioristic approach theory. After analyzing the data, several reasons and goals of Katniss as the main character in the novel were found in participating in the game event.
UNPACKING THE COMPLEXITIES OF ECONOMIC SYSTEMS: EXPLORING TRENDS, CHALLENGES AND SOLUTIONS

Abstract&#x0D; Economic systems are complex networks of interactions and interdependencies that determine the allocation of resources and the distribution of wealth. In recent years, scholars and policymakers have grappled with the challenges posed by the global economic landscape, which has been characterized by increasing inequality, volatility, and uncertainty. This research paper aims to unpack the complexities of economic systems by exploring the trends, challenges, and solutions that have emerged in the field of economics. The paper begins with an overview of the different economic systems that exist and their characteristics. It then analyzes the challenges faced by contemporary economic systems, including inequality, globalization, climate change, and technological disruption. Finally, the paper discusses some of the proposed solutions to these challenges, including social policies, trade agreements, green technologies, and innovation.
CAL2OWL: Direct Translation from CAL to OWL for

Due to the difficulty of authoring the Web Ontology Language (OWL) by ontology engineers and domain experts with little or no engineering experience, the first Controlled Arabic Language (CAL) was proposed to ease ontology authoring by Arab experts. However, the CAL tool is based on Rabbit to OWL Ontology Language (ROO), meaning that CAL ontologies must be translated to Rabbit before being ultimately translated to OWL, which is a slow and inflexible process.
Smart Way for Prescribing Medication

Abstract: This research addresses the implementation of digital signature technique for electronic prescription to prevent cybercrime problem such as robbery, modification and unauthorized access. In this research, RSA 2048-bit algorithm will be implemented in Java programming and android based system. Secure Electronic Prescription (SEP) application design is intended to combine given services, such as confidentiality, authentication, and non-repudiation. Cryptography is used to ensure the prescription file and QR-Code for detailed information on the prescription that have been given only for the pharmacist. The QR-Code will be encrypted using an asymmetric algorithm based on NIST Standard. In the application, there are two schemes, namely the protection schemes and verification scheme. This research uses black-box testing, and white-box testing to test input values, code and output without testing the process and design that occurs in the system. We demonstrate the implementation of cryptography in Secure Electronic Prescription (SEP). The implementation of digital signature in this research can prevent archive thievery which is shown on implementation and is proven on the test
Multi-stream CNNs with Orientation-Magnitude Response Maps and Weighted Inception Module for Human Action Recognition

In this paper, a multi-stream convolutional neural network (CNN) is proposed, which is integrated with multi-modal data acquired from a video camera, Kinect and wearable inertial sensors. We introduce the orientation-Magnitude Response (OMR) maps exploited from optical flow to represent motion information in a single 2D image. A weighted inception module is proposed to extract the effectiveness of adjacent and nonadjacent neighbors of OMR maps involved with different weights in extracting multi-scale spatial relationships of the current pixel. The local and global features of the 3D pose acquired from the Kinect sensor are utilized to locate person and ordering joint importance. For 3D pose features, a CNN with a channel attention module has been designed. The inertial signals are also fed into the separate CNN to learn high-level representation. The proposed model is evaluated on UTD-MHAD and MSR-Daily activity datasets to evaluate its effectiveness and efficiency.
Impact of Enactment of ‘The Prevention of Electronic Crimes Act, 2016’ as Legal Support in Pakistan

This work is based on impact of implementation of digital laws in Pakistan. The focus of this study was on implementation of Digital Laws as Legal support for digital operations in Pakistan. The theoretical conclusions resulting from the work carried out can be used in the development of conceptual concepts of digital laws and its implementation as legal support. The data of three years 2019, 2020 and 2021 is compiled for the analysis, after the implementation of Electronic Crimes Act, 2016. The implementation of Electronic Crimes Act of Pakistan provided positive results. There was a positive change in the number of cases dealt under this law after its implementation. This act is being used as legal tool to solve digital crimes. The analytical results of this research report outcome will stand unlimited influence further study of digital law.
A Study on the RC Education Program’s Effects: Focusing on the case of A University

This study analyzed the educational effects of the RC education program from the student's point of view using the case study method. The research results are as follows. First, the RC education program forms 'broad friendships and sense of belonging', 'self-discovery and motivation for growth', 'sense of community', and 'confidence and challenge spirit' of first year college students. In addition, it promotes open thinking by providing students with opportunities to be exposed to 'multiple perspectives'. Second, the characteristics of effective RC education programs are ‘convergence learning’, ‘experiential learning’, ‘cooperative learning’, and ‘shared learning and extended learning’ First-year students who participated in the RC education program made new friends, formed trust while doing RC activities together, and formed a sense of belonging to the university and gained motivation for academic activities. These results suggest that first-year students' participation in the RC program can lead to follow-up activities that help students' academic and social integration, which can have a positive educational effect in the long run. Finally, based on the findings of this study, implications for the development and operation of RC education programs and follow-up research tasks were discussed.
The application of big data analysis in ship mechanical fault diagnosis system

In the context of the development of the new era, although a large number of data information has emerged in the development of China's shipping industry, the overall trend is decentralized and has no practical application value. In order to master more valuable data information in the intelligent development of shipbuilding industry, researchers put forward the use of big data technology to process and store massive data. In the shipbuilding industry, big data analysis is widely used to collect and diagnose mechanical faults, and a standard mechanical fault diagnosis system is built, which can not only start from a macro perspective, discover the rules, but also obtain valuable content according to the collected information. Therefore, on the basis of understanding the development status of big data analysis and ship machinery fault diagnosis, this paper deeply discusses how to build a ship machinery fault diagnosis system according to the main content of big data analysis. The final results show that the application of big data analysis in the ship mechanical fault diagnosis system meets the technical requirements of the ship industry innovation in the new era.