Reviewerly/exHarmony huggingface dataset:
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification

The study utilizes osteosarcoma hematoxylin and the Eosin-stained image dataset, which is unevenly dispersed, and it raises concerns about the potential impact on the overall performance and reliability of any analyses or models derived from the dataset. In this study, a deep-learning-based convolution neural network (CNN) and adapted heterogeneous ensemble-learning-based voting classifier have been proposed to classify osteosarcoma. The proposed methods can also resolve the issue and develop unbiased learning models by introducing an evenly distributed training dataset. Data augmentation is employed to boost the generalization abilities. Six different pre-trained CNN models, namely MobileNetV1, Mo-bileNetV2, ResNetV250, InceptionV2, EfficientNetV2B0, and NasNetMobile, are applied and evaluated in frozen and fine-tuned-based phases. In addition, a novel CNN model and adapted heterogeneous ensemble-learning-based voting classifier developed from the proposed CNN model, fine-tuned NasNetMobile model, and fine-tuned Efficient-NetV2B0 model are also introduced to classify osteosarcoma. The proposed CNN model outperforms other pre-trained models. The Kappa score obtained from the proposed CNN model is 93.09%. Notably, the proposed voting classifier attains the highest Kappa score of 96.50% and outperforms all other models. The findings of this study have practical implications in telemedicine, mobile healthcare systems, and as a supportive tool for medical professionals.
STUDENTS’ PERSPECTIVES OF UTILIZING HELLO ENGLISH APPLICATION FOR ENGLISH VOCABULARY LEARNING: A QUALITATIVE CASE STUDY

Nowadays the use of technology media is inevitable in EFL classrooms. However, the study pertaining to the use of the Hello application that focuses on learning vocabulary is still relatively limited. Therefore, this study aims to explore students' perspectives on using the Hello English application for English vocabulary learning. This research used a qualitative case study. The data were collected through interviews, observation, and document reviews from the 9th-grade students at a state junior high school in Sidoarjo, East Java, Indonesia. The data were then analyzed using thematic analysis. The result revealed two main themes: the benefits and concerns associated with using the Hello English application for vocabulary learning. The students perceived benefits of the application including improving their understanding, pronunciation, and expansion of English vocabulary, along with enjoyable learning experiences. However, students encountered challenges, such as technical difficulties and struggles with advanced games. In addition, the students overcame these issues with the assistance of others. The study might have implications on the understanding of the enactment in using the technological application for EFL vocabulary learning.
Composition, formation conditions, distribution patterns and zoning of gold mineralization in the Stadukhinsky ore-placer region (Western Chukotka)

Gold deposits associated with granitoid intrusions have long been known. Recently, a class of deposits was identified among them, called intrusion-related granite systems, IRGS (gold-rare metal formation). The standards of the geological prospecting model for them are the deposits of the Tintin metallogenic belt (Alaska, Canada). In Russia, this type has been studied less; IRGS includes the Shkolnoye and Butarnoye (Magadan region) and Kekura (Chukotka) deposits. Based on field and laboratory studies, generalization of prospecting geological and geochemical data, the characteristics and localization features of gold mineralization associated with granitoids of a large igneous uplift in the South Anyui structural-formational zone (Western Chukotka) were determined. The mineral composition of ores, the sequence of their formation were studied, homogenization temperatures and salt concentrations in gas-liquid inclusions were determined. The geochemical and mineralogical zoning of the ore-magmatic system has been identified, and criteria have been developed for assessing erosion and predicting gold mineralization to depth.
Effectiveness of e-learning techniques in the educational learning process

This article discusses the importance of e-learning technologies in the educational learning process and its very important role in overcoming difficulties and providing the most effective alternative to in-person education. It has touched on the most prominent of these technologies, their function, and how to apply them to make the lessons successful. Through our article, we aim to encourage researchers and professors to use e-learning techniques, especially with the many crises and epidemics, in addition to spreading e-learning. Working on the distance education platform has become a very important requirement.
Development of an Extended Medical Diagnostic System for Typhoid and Malaria Fever

In developing countries like Nigeria, malaria and typhoid fever are major health challenges in society today. The symptoms vary and can lead to other illnesses in the body which include prolonged fever, fatigue, nausea, headaches, and the risk of contracting infection occurring concurrently if not properly diagnosed and treated. There is a strong need for cost-effective technologies to manage disease processes and reduce morbidity and mortality in developing countries. Some of the challenging issues confronting healthcare are lack of proper processing of data and delay in the dissemination of health information, which often causes delays in the provision of results and poor quality of service delivery. This paper addressed the weaknesses of the existing system through the development of an Artificial Intelligence (AI) driven extended diagnostic system (EDS). The dataset was obtained from patients’ historical records from the Lagos University Teaching Hospital (LUTH) and contained two-hundred and fifty (250) records with five (5) attributes such as risk level, gender, symptom 1, symptom 2, and ailment type. The malaria and typhoid dataset was pre-processed and cleansed to remove unwanted data and information. The EDS was developed using the Naive Bayes technique and implemented using software development tools. The performance of the system was evaluated using the following known metrics: accuracies of true positive (TP), true negative (TN), false positive (FP), and false negative (FN). The performance of the EDS was substantially significant for both malaria and typhoid fevers.
Application of Undergraduate Vocational Education Reform in the Digital Transformation of Marketing

The development of digital technology has prompted various industries to undergo digital and intelligent transformation, leading to a shift from singular job demands to comprehensive and multifaceted trends. This evolution imposes new requirements on educational reforms for talent supply. The deepening development of undergraduate vocational education takes teacher reform as its main guiding principle. Through the use of teaching materials and pedagogical reforms, it seeks to align talent development with job competency demands, while also ensuring the alignment of teaching processes with production processes. By reducing the disparities among industrial chains, educational chains, and talent chains, students are positioned as key participants in the digital transformation of marketing, providing a pool of high-quality talents for digital transformation.
Research on the Reform of China's Education Policy System Integrating Innovation and Entrepreneurship Education

At present, the IEE (innovation and entrepreneurship education) of local applied universities is obviously insufficient, which affects the development of graduate students' innovation and entrepreneurship ability. Although universities have included IEE as a compulsory course as one part of the talent training plan, the number of courses actually implemented in reality is very small, which makes it difficult to effectively train and educate students. In order to carry out real innovation and entrepreneurship teaching, it is necessary to reform the existing IEE model of local applied universities and put it into practice. Cultivate college students' insight, judgment and decision-making ability on opportunities and problems of innovation and entrepreneurship, and at the same time, immerse college students in the atmosphere of innovation and entrepreneurship in all directions through diversified IEE organizations. This paper analyzes the present situation of China's educational policy system reform, finds out the problems and then finds out the solutions.
Performance Evaluation Of Cloud Based Elliptic Curve Cryptographic Digital Signature E-Voting System For The Conduct Of Election In Nigeria

ABSTRACT Elections in Nigeria are characterized with poor voters’ turnout. One of the reasons attributed to this is the insecurity of the votes of the electorates. To resolve this, scholars have adopted various mechanisms and technologies, for example, the use of Rivest-Shamir-Adleman (RSA), Advanced Encryption StandardAES) and Elliptic Curves Cryptography (ECC). While these have added value to the body of knowledge in the conduct of elections in Nigeria, However, literature reveals that issue of insecurity of votes of electorate is still a current debate. The reason attributed to this, is due to the poor performance in terms of their key size, key strength and encryption time. This is addressed by using a Cloud based Elliptic Curve Cryptographic Digital signature (ECCDS) E-Voting system. The concept of the proposed system is to automatically encrypts, signs, decrypts votes and verifies the signed votes. The system is built on a hybridized security algorithms, these are; The ECC and Digital Signature Algorithm. This has a smart contractor that protect electorate votes against integrity modification in the cloud environment. The prototype demonstration is conducted during the students’ union election in Adekunle Ajasin University where the University ICT department is used as the cloud based network Infrastructure center. Three evaluation metrics are used. These are the key size, key strength and encryption time. The evaluation metrics shows a better performance of RSA, AES and ECC systems over the ECCD when considering the encryption time. The ECC and AES also perform better using the key size. For example, we recorded 167 bits for ECCDS, while RSA, AES and ECC algorithms recorded 163, 1024 and 64 bits respectively from one of the experiments under the key size. However, the beauty and the strength of good security system is the decryption time which is the key strength. From the experiment conducted using Key strength as the metric, we observed that ECCDS key strength is higher than that of AES, ECC and RSA. It means that it will take longer time for any intruder to decrypt the system when using the ECCDS model. This satisfy both the electorates and Electoral commission request and is very reliable and produces effective results. Keywords: E-voting, Integrity, Elliptic Curve, Cryptography, Digital Signature. CISDI Journal Reference Format Akingbesote. A.O., Babatobi, F.J. &amp; Akinwumi, D. A. (2023): Performance Evaluation Of Cloud Based Elliptic Curve Cryptographic Digital Signature E-Voting System For The Conduct Of Election In Nigeria. Computing, Information Systems, Development Informatics &amp;Allied Research Journal. Vol 13No 2, Pp 1-.14. Availableonlineathttps://www.isteams.net/cisdijournal. dx.doi.org/10.22624/AIMS/CISDI/V14N3P1
PENGEMBANGAN MEDIA VIDEO ANIMASI BERBASIS MACROMEDIA FLASH ORGAN GERAK HEWAN DAN MANUSIA KELAS V SDN 046579 KABUPATEN KARO

This study aims to determine the level of feasibility, practicality, and effectiveness of macromedia flash-based animation video learning media for the movement of animals and humans for class V at SD 046579 Tanah Karo T.A 2022/2023. This type of research is R&amp;D with the ADDIE development model with 5 research stages, namely analysis, design, implementation, evaluation. The subjects in this study were fifth grade students at SDN 046579 Tanah Karo. Data collection techniques in this study were teacher interviews, material and media validation questionnaires, educator practitioner (teacher) questionnaires and test questions. The results showed that the validator by the material expert got a score of 91 with a percentage of 91% in the "very decent" category and the results of the design validation by the media expert validator got a score of 90 with a percentage of 90% in the "very decent" category. The practicality test by educational practitioners obtained a score of 96 with a percentage of 96% in the "Very Practical" category. Based on the effectiveness test of Learning Media that results can be seen after using Learning Media with the Macromedia Flash application that was developed, student scores increased from the start before using learning media with the Macromedia Flash application students got an average score of 53.0 increasing to 87.5 after using the media. From these results it can be concluded that macromedia flash based animation video media is feasible, practical, and effective to use.
Research on Online International Chinese Language Teaching in the Digital Age

With the continuous progress of science and technology, we have gradually entered a digital technology-led era, that is, the digital era. This era brings great opportunities, but also with a variety of challenges. The Digital Age has brought about great changes in our lives. In terms of education, digital technology provides learners with more learning resources and diversified learning paths. More and more people rely on the information technology and its derivatives and bring a variety of hardware equipment, making online Chinese teaching to comply with the Internet era, the development of online teaching and research started late in our country, in the mid-1990s began to develop, on-line Chinese teaching research is yet to be improved. Against the background of a great deal of research on online foreign language teaching and a lack of research on online Chinese teaching, this paper takes online Chinese teaching as a research point, it highlights the differences between online and offline Chinese teaching and the characteristics of online Chinese teaching. In this paper, using the method of literature research, first of all, the concept of online Chinese language teaching is summarized, but also on the theoretical support of online Chinese language teaching 052.5%. And the development of online Chinese teaching is summarized. This paper expounds the teaching process of online Chinese teaching, and advances some suitable solutions to the problems existing in online Chinese teaching.
Virtual Reality: Video Media Pembelajaran Seni Budaya di SMPN 02 Palangka Raya

The creativity of learning arts and culture by utilizing technology can increase innovation and creativity in the world of education so that the learning process is easier to understand and has an interest in students, so that it is closer to the daily activities of young people in the digital era, especially existing students. at junior high school 02 Palangka Raya. The purpose of this study was to find out the application of virtual reality-based art learning media at junior high school 02 Palangka Raya. The research method used in this study is qualitative description. In the application of virtual reality-based art learning media to class VII students of junior high school 02 Palangka Raya, art learning media is a form of responsibility for developing teaching tools for a teacher, with contents in arts and crafts, sculpture, architecture, ceramics, and traditional weapons. The form of the content of this learning medium is images and videos that are developed as attractively as possible based on the teacher's abilities in the world of graphic design. The application of learning media carried out by virtual reality-based teachers refers to the curriculum and teaching tools with the aim of achieving aspects of attitude, knowledge, and skills in fine arts subjects.
Implementasi Charets dalam Menunjang Layanan Siswa di SMA Negeri 2 Bandung

Education is a very important thing to pay full attention to, with the importance of education, it is necessary to have special educational services. Special education services are one indicator of the success of education in a country. In Indonesia, many forms of special education services are not properly implemented, which has an impact on the decline in the quality of education in Indonesia. Forms of special services in the field of education can be categorized into various kinds, ranging from guidance and counseling services, special education services, career counseling services, school health services, psychological services, etc. This article was created with the aim of analyzing educational service models, especially in the field of guidance and counseling services in the form of website Charets at Senior High School 2 Bandung using descriptive qualitative research methods. Data collected by researchers using interviews, observation and document analysis, with the final result that management information systems in special education services, namely website Charets BK is designed to facilitate interaction between students, teachers, parents and the community in obtaining educational information.
Image Captioning System Using Merge Conventional and Recurrent Neural Networks

Image captioning system is that operation where we create a group of captions defines the image content and depends specially on deep learning. This technology is used for a wide range in recent time because it can help as example the blind people by telling them about all the objects around them which Nvidia company has the lead of it. Many searches were done in this subject and may be the most important one that search done by Andrej Karpathy leader of artificial intelligent in Tesla company depending on Flicker database which gives a special result used by next researches. ICS (Image Captioning Systems) are end-to-end Sequence-to-Sequence systems where we can convert a series of image pixels descriptions into a series of words. For images objects recognition we can use conventional neural networks (CNN) and for the words recognition and text build we will use recurrent neural network
Development of a Financial Literacy Book, "Good and Bad Character Augmented Reality," for Early Childhood

Financial literacy education needs to be instilled from an early age through attractive media so that it is internalized and to form managing finances habits in the future. Augmented Reality (AR) technology is an alternative since it is in the 3D form to visualize abstract concepts into concrete ones. This study aims to develop a financial literacy book with augmented reality technology, "Good and Bad Character AR." This book instills financial knowledge and experience for children in forming good character and habits. The method used in this study was Design Development (DD), with an analysis model of design, development, implementation, and evaluation (ADDIE). Participants were material and media experts and users (teachers and children aged 5-6 years) at the UPI Campus Labschool Kindergarten in Serang. Validation was carried out by media experts, material experts, two teachers, and five children. The analysis results demonstrated that the financial literacy book "Good and Bad Character AR" was feasible for educators to use in increasing early childhood financial literacy based on the assessment of material experts of 85.33% and media experts of 87%, with a very good category. Meanwhile, the user response came from two teachers respectively at 98.33 and 90%, considered very good in terms of the attractiveness of the content, ease of use, and the children's enthusiasm during learning. In addition, of the five children, 92% were obtained, indicating a very good response. It indicated that AR technology is feasible and potentially used in early childhood learning.
Autonomous Vehicles and Machines 2023 Conference Overview and Papers Program

Abstract Advancements in sensing, computing, image processing, and computer vision technologies are enabling unprecedented growth and interest in autonomous vehicles and intelligent machines, from self-driving cars to unmanned drones, to personal service robots. These new capabilities have the potential to fundamentally change the way people live, work, commute, and connect with each other, and will undoubtedly provoke entirely new applications and commercial opportunities for generations to come. The main focus of AVM is perception. This begins with sensing. While imaging continues to be an essential emphasis in all EI conferences, AVM also embraces other sensing modalities important to autonomous navigation, including radar, LiDAR, and time of flight. Realization of autonomous systems also includes purpose-built processors, e.g., ISPs, vision processors, DNN accelerators, as well core image processing and computer vision algorithms, system design and architecture, simulation, and image/video quality. AVM topics are at the intersection of these multi-disciplinary areas. AVM is the Perception Conference that bridges the imaging and vision communities, connecting the dots for the entire software and hardware stack for perception, helping people design globally optimized algorithms, processors, and systems for intelligent “eyes” for vehicles and machines.
Visualization and Data Analysis 2023 Conference Overview and Papers Program

Abstract The Conference on Visualization and Data Analysis (VDA) 2023 covers all research, development, and application aspects of data visualization and visual analytics. Since the first VDA conference was held in 1994, the annual event has grown steadily into a major venue for visualization researchers and practitioners from around the world to present their work and share their experiences. We invite you to participate by submitting your original research as a full paper, for an oral or interactive (poster) presentation, and attending VDA in the upcoming year.
Do Small and Medium Enterprises Spur Economic Growth? Evidence from Nigeria (1999-2020)

This study investigates if Small and Medium Enterprises (SMEs) contribute to economic growth in Nigeria between 1999 and 2020. The data used for the study were obtained from CBN statistical bulletin and National Bureau of Statistics in collaboration with Small and Medium Enterprises Development Agency of Nigeria on the variables such as the number of SMEs in Nigeria (NSMES), Commercial Banks Credit to SMEs (CBSME), SMEs employment generation (SMEEG) and interest rate (INTRT). Since the data for the variables are time series which are always not stationary, the test of staionarity was conducted using Augmented Dickey-Fuller unit root test. ARDL Bounds test for co-integration was employed to check the long run relationship while Autoregressive Distributed Lag (ARDL) technique was employed to estimate the parameters of the model. From the results of the regression, some variables such as NSMES, CBSME and INTRT have positive impact on the economic growth while SMEEG has negative impact on economic growth in Nigeria in the short run. The result further shows that only NSMES has significant impact on economic growth, while CBSME, SMEEG and INTRT are insignificant. The study therefore, recommends that government should create enabling environments for the SMEs to thrive well. Also, commercial banks should encourage financial inclusion, that is, SMEs should be given easy access to loans. This can go a long way to help investors to bring their ideas into reality.