Reviewerly/exHarmony huggingface dataset:
Radio as a Vehicle for Promotion of Indigenous Languages in Nigeria: A Study of Amuludun FM and Orisun FM Radio Stations

This paper explores the role of radio as a powerful medium for the promotion and preservation of indigenous languages in Nigeria. With a diverse linguistic landscape, Nigeria is home to numerous indigenous languages, many of which are at risk of extinction due to the dominance of English and other major languages. Radio, as a mass communication tool, is assumed to have the potential to revitalize the use of indigenous languages, thus fostering cultural identity and linguistic diversity. The paper examines the impact of radio in promoting indigenous languages in Nigeria and discusses the challenges, strategies, and possible initiatives to employ in language promoting indigenous language through radio broadcasts. In assessing the possibility of radio to serve as a Vehicle for Promotion of Indigenous Languages in Nigeria, the paper adopted survey method, using a structured questionnaire to gather data from 172 respondents drawn from the coverage areas of the selected indigenous radio stations. The study is anchored on Agenda Setting Theory. Data gathered were analysed and presented in tables and simples percentages. Findings show that Amuludun FM, Ibadan and Orisun FM, Ile-Ife, enjoy a high number of audiences who listen to the stations because of their peculiarity of using indigenous languages to present programmes. The respondents affirmed that Amuludun FM, Ibadan and Orisun FM, Ile-Ife promote indigenous language and also ensure effective communication through Yoruba indigenous language particularly for people in the Yoruba rural communities. The study recommends that Indigenous languages should be encouraged because it is the native language. Media campaigns for promotion of indigenous languages and implementation across schools must be intensified to prevent the indigenous languages from going into extinction.
Development and usability testing of Smart Record Management Solution in Higher Education Institutions in Sindh, Pakistan

In this modern technological world, approximately everything has been electronic. Manual documentation is not a safe way; it might result in the loss of employees’ important information. Managing huge amounts of data manually means organizations need much more human resources for handling paperwork. On the other hand, cost, time, and efficiency are also needed. This is the fact that fully automated systems are beneficial over manual and semi-computerized systems. However, it is also a question that how much fully automated systems are beneficial over manual or semi-computerized systems. Because, the usability of the application could be a barrier between such types of solutions to switching from manual or semi-computerized systems to fully automated systems, whose answers were tried to find out in this study. For this, a web-based Smart Record Management Solution (SRMS) was developed and evaluated in three universities in Sindh, Pakistan, so that, the usability of the app can be measured. The Application was evaluated by 60 employees distributed in three groups (Administrative head, clerical staff and General employees) in district Shaheed Benazirabad, Sindh, Pakistan. The data was collected through a questionnaire from the participants to measure the usability of SRMS. According to the results, the majority of the participants reported that the app was easy to use and participants were equally satisfied with the application. The results are promising; in the future, an experiment will be conducted for the successful implementation of Smart Record Management Solution and to find out the proper deployment of such systems.
VISUAL CRYPTOGRAPHY: STRENGTHENING BANKING AUTHENTICATION WITH IMAGE PROCESSING

In today's digital era, we present a multi-factor authentication system that combines Visual Cryptography, Face Authentication, and OTP Verification to fortify banking security. Visual Cryptography splits images into secure shares, Face Authentication verifies unique facial features, and OTP Verification adds an extra layer. The synergy of these factors forms a robust, secure, and user- friendly system, reducing unauthorized access and fraud. This project contributes to cyber-security advancements and improves the banking user experience. In an ever-growing digital banking landscape, this innovative approach ensures data confidentiality and addresses evolving threats. Keywords: Visual Cryptography, Image Processing, Face Recognition, Encryption, Multi-factor Authentication
MENUMBUHKAN KREATIVITAS MAHASISWA MELALUI INTEGRASI TEKNOLOGI DALAM TASK BASED LANGUAGE TEACHING UNTUK MAHASISWA PENDIDIKAN BAHASA INGGRIS

Student creativity is needed in 21st century learning. When students have creative thinking skills, they can create new things that are innovative or creative. For this reason, this study aims to foster creative thinking skills for English students by using the Task-Based Language Teaching (TBLT)method that is integrated with technology in online learning and describes the results of student creativity. This study is a class study with participants are students majoring in English Education which amounts to 29. The research instrument is an observation and test sheet. Hasil research shows that the TBLT stage has been carried out well in learning by lecturers and students. This can be seen in the activities ofmahasiswa when they are able to develop English teaching materials, which starts from choosing KD and making a good GPA. In addition, analyze predetermined books and eventually they can create the development of the selected material using wakelet.com, as well as presenting synchronously (through zoom sessions and asynchronously (via wakalet). In addition, the results of the paired sample t-test analysis showed that the T-value was 0.000 and there was a significant increase in student creativity in the application of TBLT integrated with technology in the learning of Developing EFL Materials courses. It is concluded that to foster student creativity, methods are needed that can make the learning process more comfortable and interesting for students.
The Space of On-line Educational Drama as Performance

This study aims to investigate how the spaces within online educational dramas are performed and how participants experience these spaces. The results indicate that the performance of educational drama spaces and the way participants experience these spaces have similar effects in both face-to-face and online contexts. Additionally, online educational drama spaces exhibit unique characteristics. The performance of these spaces, whether in face-to -face or online settings, ultimately provides participants with a specific cognitive frame through which they perceive events within those spaces as having special meaning. In conclusion, the performance of spaces in educational drama spaces provides participants with a specific cognitive frame, allowing them to perceive events within these spaces as having unique significance.
Chinese E-commerce NER Using RoBERTa-wmm under the Machine Reading Comprehension Paradigm

In practical applications within the e-commerce domain, there is often a requirement to identify product entities and their corresponding brand entities, based on their descriptions. However, there has been a relatively limited focus on studies addressing the Named Entities Recognition in the e-commerce domain. we crawled data from e-commerce websites and transformed them into a Named Entity Recognition dataset, which is suitable for Machine Reading Comprehension. Since the questions Machine Reading Comprehension contain a priori semantic information about the types of the entities, we propose a model that uses the MRC modeling paradigm to solve the task of recognizing brand entities as well as commodity entities in the e-commerce domain. The model encodes the contexts and the corresponding questions using the RoBERTa-wwm model, and then further extracts the semantic information of the contexts using an attention network. We utilize SoftMax as the decoding layer to get the head index and tail index of the entity, and finally use the matching module to get the entity index. Through experiments on two e-commerce datasets, the results show that the new method can significantly improve the recognition effect of Chinese NER in e-commerce domain.
Review of Researches on Computer-Mediated Peer Feedback and L2 Proficiency

The researches on peer feedback and L2 proficiency as an influencing factor has reached a considerable scale both domestically and internationally, and has been put into practice in practical teaching. In recent years, online peer feedback and automated corrective feedback have also been constantly emerging. Every empirical research related to it has its own focus, strengths, and areas for improvement. How to organically combine relevant researches and apply it to EFL learners is also worth paying attention to.
Discovering Densest Subgraph over Heterogeneous Information Networks

Densest Subgraph Discovery (DSD) is a fundamental and challenging problem in the field of graph mining in recent years. The DSD aims to determine, given a graph G, the subgraph with the maximum density according to the specified definition. The majority of current research focuses on identifying DSD in homogeneous information networks. Nevertheless, these techniques cannot be applied directly in Heterogeneous Information Networks (HINs) since the semantics of paths are not considered. This limits the application of these approaches in certain fields, as many graphs, e.g., the DBLP dataset, comprise of many types of edges. In order to remedy this research need, this paper proposes approaches for resolving the DSD issue over HINs. By examining numerous linkage paths between two vertices, we characterize the relationship between two objects of the same type using the concept of meta-path. We further build two new HIN models and provide DSD techniques that perform well in large networks. In addition, comprehensive experiments on various HIN datasets demonstrate the effectiveness and efficiency of the proposed methods.
Robots and the Humans Who Make Them: Our Chatbot Podcast Features Roboticists in Conversation with Each Other

When IEEE Spectrum editors are putting together an issue of the magazine, a story on the website, or an episode of a podcast, we try to facilitate dialogue about technologies, their development, and their implications for society and the planet. We feature expert voices to articulate technical challenges and describe the engineering solutions they've devised to meet them.
Application of digital wind tunnel in the field of intelligent industrial safety testing and evaluation

China's digital transformation has accelerated in recent years, but it has also been accompanied by a sharp rise in smart industrial cybersecurity risks. Smart industrial manufacturing has become a popular area for cyberattacks, and finding new technical solutions is the current consensus. This paper reviews the research work on digital wind tunnel in the field of intelligent industrial safety inspection and evaluation, and firstly introduces the background, definition and role of digital wind tunnel, and introduces several key technologies used to construct digital wind tunnel, including parallel simulation technology and excitation response technology; furthermore, it presents applications in scenarios such as intelligent industrial system testing and evaluation, talent testing and evaluation, and finally describes the challenges and development trends of digital wind tunnel development.
Real-time light stripe centerline extraction with the ZYNQ

In the real-time structured light 3D measurement, there are issues such as low throughput and slow measurement speed in the extraction of light stripe centerline by computer software and hardware processors like ARM. This paper designs a real-time system for extracting the light stripe centerline based on the ZYNQ-7000. Firstly, the thresholding segmentation of light stripe image is implemented by using the Otsu’s method. Secondly, the Gaussian filter is used to remove the effect of noise. Finally, the centerline of light stripe is extracted by using the grayscale gravity method. The image processing algorithm is converted from C++ to Verilog language and packaged into an IP core using the Xilinx HLS tool. This paper successfully processes the input video signal with the spatial resolution of 1920×1080 pixels and displays the extracted centerline of light stripe on the HDMI display at the frame rate of 30 fps. The test results show that the system can meet the real-time requirement for light stripe centerline extraction in the engineering application.
A Survey on Settling Gridlock Utilizing Picture Handling Methods and Improvement of an Android Application

Our current situation makes this a severe issue. Traffic congestion on both major and minor routes is constant. A strong traffic control system is necessary in order to address these problems. Human and material resources are lost as a result of poor traffic management. Due to these recurring issues, interest is growing in finding new ways to address the congestion issue. Inadequate capacity, unrestrained demand, and protracted delays caused by traffic signals are only a few of the factors that contribute to traffic congestion. Magnetic loop detectors, infrared sensors, wireless sensor networks, and other devices are all used in modern technology. As opposed to These frequently occurring problems are generating interest in solving the congestion problem through various methods and methods. Traffic congestion occurs for a variety of reasons, including insufficient capacity, unrestricted demand, and long delays due to traffic signals. Modern technology uses wireless sensor network systems, magnetic loop detectors, infrared sensors and more. On the other hand, video and image processing methods offer many advantages over traditional systems. This article summarizes an overview of all available existing methods compared to those used in this field of research. We summarize all the various research papers based on different methods for the development of intelligent traffic detection systems using image and video processing methods. A comparison and overview of all methods is presented in this overview document.
University Quarter as a form of cultural interaction between the University and the city

The object of the study is the university quarter as a socio-cultural phenomenon. The subject of the study is the forms of cultural interaction between the university quarter and the city. The use of comparative and typological methods made it possible to identify and describe four forms of university presence in the city space, grouped around two basic directions. The first direction assumes the priority of the university in relation to the city, which gives rise to such a form of their interaction as a "university city". In this case, university activity, in fact, fulfills the role of the economic basis of urban life. The second direction, which is characterized by the leading role of the city, is represented by the student quarter, campus, university quarter. And in this case, we can talk about the "growing" of the university into the urban space, which has both its positive and negative sides. Special attention is paid to the university quarter, the need for which is associated with the expansion of the university's interaction with the urban community. Combining the project nature, openness, flexible targeting, it demonstrates greater potential compared to traditional options. In turn, the university quarter project can be represented by various complementary options. The analysis of the Samara experience of its design revealed two promising forms of its implementation: building a citywide university space and updating the historical past on the basis of available university resources.
Smart Transaction through an ATM Machine using Face Recognition

Automated Teller Machines (ATMs) are a convenient way for people to access their cash and banking services. However, traditional ATMs are susceptible to fraud, such as card skimming and PIN theft. Face recognition technology has the potential to improve ATM security by providing a more secure and convenient way for users to authenticate themselves. This research paper proposes a system for smart transaction through ATM machines using face recognition. To proceed transactions user, need to enter their registered mobile number on which an OTP will be generated subsequently the camera mounted on top of the ATM will capture user’s face which will then be compared with the picture associated by the contact number using custom trained YOLO algorithm. Upon successful matching user need to verify OTP received and if verified they can access the ATM functionalities. The dataset used for this model i.e., Contact number and customer photograph will be collected by the bank at the time of customer account opening. The system was evaluated using a dataset of over 10,000 random face images. The results showed that the system was able to achieve an accuracy of over 99% in authenticating users. The system was also able to detect and prevent unauthorized access attempts. The proposed system has the potential to revolutionize the way that people use ATMs. It can make ATMs more secure, convenient, and fraud-resistant.
EXPERT SYSTEM FOR DIAGNOSIS OF DISEASES IN CAT USING THE NAIVE BAYES METHOD

Cats are animals that relieve stress. When a person spends time with a cat, the hormones serotonin, oxytocin and dopamine increase. One of the reasons why cats can relieve stress is purring, that has a frequency level of 25-50 hertz. But cats can also get sick. Researchers took the initiative to create an application to make it easier for users, to be able to diagnosed earlier. The purpose of this application was that it can be an option other than going to an expert, a good accuracy when compared to experts and providing the right solution. Making the application used the Naïve Bayes method as an analysis of cat data from expert sources that produced that symptoms produced appropriate disease with the solution. Implementation users starting from filling in biodata, symptoms, generating diseases and their solutions, and additional features such as disease info and messages. Meanwhile, admin requires a login to use the data management of symptoms, diseases, knowledge base, accounts and messages. The results of the application were explained from the results of the diagnosis which can detect the cats disease from the inputted symptoms, along with other disease options, with a disease comparison value of 91%.
Effect of the Serum Level of Interleukin-6 and Interleukin-10 on Chemotherapy in Acute Myeloid Leukemia Iraqi Patients

Background: Acute myeloid leukemia (AML), a cancer of the myeloid line of blood cells, It is characterized by malignant clonal proliferation and differentiation of immature myeloid progenitor cells that differentiate into malignant myeloblasts which cannot function like normal blood cells. Normally, cytokines are secreted by different types of cells to regulate the immune response, but in AML patients, cytokines can be produced by both leukemic blasts and immune system cells and their role in the pathogenesis is not clear .Blood cells and their marrow based progenitors are exquisitely responsive to their environment, and cytokines are an essential part of it. The overexpression of cytokines in leukemia patients declines in complete remission suggesting that these events are dependent on AML activity. Aim of the study is to determine the serum levels of IL-6, IL-10 in newly diagnosed, under treatment and relapsed acute myeloid leukemia Iraqi patients and show their relation to response to chemotherapy and used as a prognostic markers in the evaluation of the therapy making them highly applicable to routine clinical laboratories. Methods: Serum levels of IL-6, IL-10 were estimated by using ELISA kit, in 120 patients with AML, That divided into 40 patients for each group (newly diagnosed, under treatment and relapsed), depending on the stages of the patients with chemotherapy, from February 2022 to April 2023 from Baghdad Teaching Hospital, Baghdad, Iraq. Forty healthy controls were also enrolled in this study. Results: IL-6 and IL-10 levels were significantly higher in newly diagnosed and relapsed patients with AML than in control group and their levels decreased when patients responded to chemotherapy. Conclusion: The current study showed that the serum concentrations of IL-6 and IL-10 in AML patients increased before chemotherapy and began to decreased after therapy. These results may be used as a prognostic markers for the success of chemotherapy and could offer an interesting approach for treatment of AML.
Shot classification for human behavioural analysis in video surveillance applications

Human behavior analysis plays a vital role in ensuring security and safety of people in crowded public places against diverse contexts like theft detection, violence prevention, explosion anticipation etc. Analysing human behaviour by classifying of videos in to different shot types helps in extracting appropriate behavioural cues. Shots indicates the subject size within the frame and the basic camera shots include: the close-up, medium shot, and the long shot. If the video is categorised as Close-up shot type, investigating emotional displays helps in identifying criminal suspects by analysing the signs of aggressiveness and nervousness to prevent illegal acts. Mid shot can be used for analysing nonverbal communication like clothing, facial expressions, gestures and personal space. For long shot type, behavioural analysis is by extracting the cues from gait and atomic action displayed by the person. Here, the framework for shot scale analysis for video surveillance applications is by using Face pixel percentage and deep learning based method. Face Pixel ratio corresponds to the percentage of region occupied by the face region in a frame. The Face pixel Ratio is thresholded with predefined threshold values and grouped into Close-up shot, mid shot and long shot categories. Shot scale analysis based on transfer learning utilizes effective pre-trained models that includes AlexNet, VGG Net, GoogLeNet and ResNet. From experimentation, it is observed that, among the pre-trained models used for experimentation GoogLeNet tops with the accuracy of 94.61%.
Malik Ibrahim Wali Songo and The First Islamic Authoritative Ruler In The Land Of Java

Malik Ibrahim is one of the important figures who spread Islam in Java, known as the Eldest Wali Songo (Nine Islamic Saint who spread Islam in Java). His Graveyard until today is still visited by many people. Malik Ibrahim, also known as Sunan Gresik, he was the first Islamic authoritative ruler in Java who started developing Gresik into the first Islamic port city in Java in the 15th century. In the 16th century, Pires noted that Gresik became the largest city in Java while Samudra Pasai became the largest in Sumatra. The two largest ports in the archipelago are, of course, interconnected. Apart from both being part of the main Bandar "Spice Route" in the archipelago, archaeologically, Malik Ibrahim's tombstone, which is made of white marble, is of the Cambay type and has full epigraphy has similarities to the tombstone of the same type in Pasai or now in Lhokseumawe, Aceh Darussalam. Primary research in the field was carried out in Pasai and Gresik to uncover and reconstruct the history of Malik Ibrahim archaeologically and link it with contemporary information and stories that developed in society so that it could be seen clearly.