Reviewerly/exHarmony huggingface dataset:
Research on tracking of moving objects based on depth feature detection

In complex conditions such as illumination change, target rotation, and background clutter, tracking drift or target failure tracking may occur. Convolutional neural networks (CNN) can achieve robust target tracking in complex scenes such as illumination, rotation, background clutter, and so on. Therefore, this paper proposes a target tracking algorithm CNNT based on a convolutional neural network. Use CNN deep learning model to extract the deep features of the sample to complete the target detection task, and then use the kernel correlation filter (KCF) target tracking algorithm to complete the target tracking. We train the Visual Geometry Group (VGG), deep learning model using massive image data, extract the depth feature of tracking targets through the trained VGG deep learning model, and use the depth feature for target detection. The results of the experiment show that, compared with other algorithms such as KCF, the CNNT algorithm achieves a more robust target tracking effect in complex scenes such as illumination change, target rotation, and background clutter.
Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review

Are deep learning techniques being applied to image classification of kidney tumours? This systematic review aims to explore papers using this novel scientific method of deep learning (DL) for the detection of kidney tumours in patients. We can start by arguing that this set of techniques is not widespread as only 8 papers have been found in the last 5 years that meet these requirements. This paper analyses the data source, the datasets used, the complexity and limitations of these datasets that drive the use of novel techniques such as data augmentation. We analyse the most advanced deep learning architectures used such as ResNet as well as the possibilities conferred by transfer learning to use the basis of these architectures and then adjust them to the needs of each case.
A Novel Action Recognition Method Based on Attention Enhancement and Relative Entropy

Action recognition is a hotspot field in computer vision for video understanding. To achieve accurate and real-time action recognition, a novel skeleton-based method combined with attention enhancement and relative entropy is proposed. Firstly, the data normalization method is presented to reduce the recognition error caused by human body posture and scale differences. Secondly, a joint attention strategy is proposed considering the different contributions of joints in an action. Finally, a relative entropy based acceleration strategy is employed to avoid unnecessary matching and save time. Experiments carried out on the Microsoft Research Cambridge-12 dataset show that the accuracy of our method is 90.32% and the time cost is 31.58 ms on average, which outperforms the others.
Rancang Bangun Aplikasi Inventaris Barang Berbasis Android Pada PT. Nuansa Indah Mane

Almost all large companies have switched from manual systems to computer-based systems; computer-based systems are beneficial and facilitate company performance using application assistance. This application will be used to reduce the user number of users. Among them are recording incoming, returning, and outgoing goods. Therefore, the application for a company is beneficial and can improve agency performance. The Inventory Information System used by Nuansa Indah Mane Limited Liability Company still uses a manual system, namely Microsoft Excel, so searching for inventory data is slow. Therefore, this thesis is carried out to make an inventory design that is easy to use so that it can facilitate access to the desired information and can facilitate the management of file data. The researcher of this thesis is an Android-based product inventory design, while the system development method uses the RAD (Rapid application development) method
UNDERSTANDING POLITICAL ISSUES THROUGH SOCIAL ACTORS REPRESENTATION:

Critical Discourse Analysis attempts to investigate social, political, historical and environmental issues by analyzing linguistic aspects and resources. This paper aims to examine the strategies used by journalists of tempo.co and CNN Indonesia in delivering the Governor of NTT’s school policy. Two research questions are formulated: (1) How the social actors are described in the news of Governor NTT’s policy publish in tempo.co and cnnindonesia.com. (2) What strategies used by tempo.co and cnnindonesia.com in describing the social actors of Governor NTT’s policy news. The results of the study indicate that the social actors are described in the news of Governor NTT’s policy publish in tempo.co and cnnindonesia.com by clearly mentioned the actors who responsible for the entry school policy. This educates the readers about the policy. Even though the actors are clearly mentioned, there is no tendency to marginalize them, especially Governor of NTT. By covering all person in charge, the readers are presented proportional news. Strategies used by tempo.co and cnnindonesia.com in describing the social actors of Governor NTT’s policy news is only inclusion strategy. Meanwhile, exclusion strategy is not detected in both news by tempo.co and CNN Indonesia.
ASESMEN KOMPETENSI MINIMUM UPAYA DALAM MENINGKATKAN LITERASA BAHASA DAN NUMERASI DI SEKOLAH DASAR

Language and numeracy literacy are the basic skills required for students to analyze reading or numbers in different contexts. Literacy and numeracy skills must be mastered and possessed in order to increase competitiveness and improve the quality of human resources. However, what happens is the low reading ability of Indonesian school children known from the results of the PISA test. In 2018, Indonesia ranked 70th out of 78 countries. Students' difficulties in critical thinking are known due to the lack of students who can solve Higher Thinking Skills (HOTS) questions and teachers who have not been able to create HOTS-based questions. Therefore, the Ministry of Education and Culture decided to implement competency assessment for all schools. The purpose of this study is to provide insight into the concept of Minimum Competency Assessment (MCA) to improve reading, writing and arithmetic skills in primary schools. The research method used is literature research. Based on the review of the literature approach, it was found that AKM focuses more on the ability to reason using language or literacy and using mathematical logic or numeracy.
Proposed model and strategy for Indonesian higher education facing technological disruption and Industrial Revolution 4.0 using Newton's Laws analogy

All economic sectors in the world cannot be separated from the challenges of facing an era of technological disruption and the Industrial Revolution 4.0 (TD4IR). As centers of higher education, campuses also cannot escape from this difficult situation. Many studies have discussed the impact of TD4IR on higher education, unfortunately, without a detailed strategy for dealing with it. The global issues were analyzed using a physical approach, such as Newton's laws. Our study's purpose is to evaluate a strategic principle that Indonesian colleges can use to prepare for TD4IR. We applied Newton's analogy system to strategic management, then modeled with the derivation of the formula, followed by modeling with the simulation, to determine the changes that higher education would need to make in response to Industrial Revolution 4.0. Acceleration and deceleration scenarios are implemented with a square or cube increase or reduction. From the modeling, the parameters of Newton's laws, such as mass, friction (barriers to change), force (internal assets as a driving force), etc., must be properly matched to the idea of strategic management of higher education to give a clear picture of the problems. From the simulation, higher education needs to know the minimum value of its organizational system so it can figure out what needs to be done right away. The organization doesn't suddenly slow down or stop; higher education needs to speed up as much as possible.
English First Additional Language learners’ challenges in the implementation of process writing in Grade 10

This paper seeks to explore English First Additional Language learners’ challenges in the implementation of process writing. The qualitative method was adopted, whereby document analysis and semi structured interview methods were used. The EFAL teacher and six learners from an identified secondary school were interviewed and learners’ essays were reviewed. The study revealed that learners write essays that have no effective introduction, weak idea support (ideas in all the paragraphs were not linked), and poor conclusions. Learners are challenged with organisation of ideas in sentences and paragraphs; omission of words which affect the message conveyed; punctuations and lack of vocabulary. It was also evident that teachers do not successfully implement the process of writing in the classroom. There is a lack of teaching and assessment of essay writing skills in the classrooms. Therefore, this paper recommends that the Department of Education arrange ongoing training for teachers on the implementation of process writing and modern methods of lesson delivery. Learners should be given more practical writing activities, engage in the writing process, and given the opportunity to collaborate with the teacher or their skilled peers to improve their writing skills.
A Nature Inspired Hybrid Partitional Clustering Method Based on Grey Wolf Optimization and JAYA Algorithm

This paper presents a hybrid meta-heuristic algorithm using Grey Wolf optimization (GWO) and JAYA algorithm for data clustering. The idea is use exploitative capability of JAYA algorithm in the explorative phase of GWO to form compact clusters. Here, instead of using one best and one worst solution for generating offspring, three best wolfs and three worst omega wolfs of the population are used. So, the best wolfs and worst omega wolfs assist in moving the new solutions towards the best solutions and simultaneously helps in staying away from the worst solutions. This enhances the chances of reaching the near optimal solutions. The superiority of the proposed method is compared with five promising algorithms, namely GWO, Sine-Cosine Algorithm (SCA), Particle Swarm Optimization (PSO), JAYA and K-means algorithms. The result obtained from the Duncan’s multiple range test and Nemenyi hypothesis based statistical test confirms the superiority and robustness of our proposed method.
Effectiveness of Hands-on Learning Activities in Improving the Performance of Kindergarten Learners

This study determined the effectiveness of hands on activities in improving the performance of kindergarten in two selected schools in the Division of Talisay City and Division of Cebu City for the school year 2022-2023 as basis for a proposed action plan. This study determined the effectiveness of hands on activities in improving the performance of kindergarten in two selected schools in the Division of Talisay City and Division of Cebu City for the school year 2022-2023 as basis for a proposed action plan. Through a descriptive-comparative study, survey questionnaires were given to 209 parents and teachers as the respondents across the said two schools and the data obtained were analyzed using descriptive and correlational statistics. Results revealed that parents and teacher’s perception in the effectiveness of hands on activities in improving the performance of kindergarten learners are very effective. It was also evident that incorporating hands-on learning into the classroom or into the home is an easy way to show children exactly how they are learning can be used in the real world. There were observed a significant relationship between parents and teacher’s perception in the effectiveness of hands on activities in improving the performance of Kindergarten learners. In conclusion, it’s important to note especially to the parents and teachers that when people hear the word “creativity,” their minds often go immediately to subjects like art and music. While these are of course important classes for children, and should play a role in child’s education. Parents and teachers should be involved in order to manifest learning using the effectivity of hands-on activity. Action plan was formulated to provide help and support to parents and the school in general.
Adapting Blockchain for Secure and Efficient Identity Management in Oman's e-Government

This research paper examines the potential application of blockchain technology in e-government identity management, with a specific focus on the case of Oman. Traditional centralized identity systems in e-government face various challenges, such as security vulnerabilities and limited compatibility among government agencies. By utilizing the decentralized and unalterable characteristics of blockchain, Oman can enhance the security, privacy, efficiency, and transparency of identity management in e-government. The advantages include improved security and privacy, streamlined processes, data sharing and interoperability, transparency, cost reduction, and empowerment of citizens. The paper presents examples of blockchain-based identity management systems implemented in different sectors and countries, along with research studies in the field. Additionally, a survey was conducted to assess awareness and willingness to adopt blockchain-based identity management in Oman's e-government. The findings emphasize the importance of considering technical requirements, legal frameworks, interoperability standards, and user acceptance for successful implementation. Overall, blockchain technology offers promising solutions to strengthen identity management in e-government and establish a trustworthy digital environment for citizens and businesses.
Feedback As a New Regulation in Metacognitive Reading Strategies: Review on Metacognitive Regulation

Reading is an activity that requires time and persistence, so it needs certain strategies to avoid boredom. Even though it is not a new thing in reading activity, some articles show that Metacognitive Reading Strategies are still relevant nowadays as one of the strategies used to gain students' comprehension in reading. In MRS, feedback has a significant influence on students' comprehension. However, feedback is a dependent factor because it can exist in every step of MRS (in planning, monitoring, and evaluating regulations). This is initial research on the position of feedback as a new regulation in MRS after evaluating step. The data were taken from a literature review which reveals metacognitive regulation and how feedback affects the student's reading comprehension.
A Smarter Way to Procure: Exploring the Use of Smart Contracts

Purpose:This article delves into the transformative potential of smart contracts in revolutionizing procurement within supply chain management, with a special focus on the healthcare industry. In line with the challenges posed by complex procurement processes, the study explores how self-executing digital contracts can enhance efficiency, security, and transparency. Theoretical framework:The article is grounded in the concept of smart contracts and their applications in procurement, serving as a bridge between emerging technology and supply chain management innovation. It draws upon an extensive body of literature and research related to smart contracts, supply chain management, and technology adoption. The study is designed to build upon this theoretical foundation, using two comprehensive case studies to provide real-world insights and practical applications. These case studies, situated within the healthcare industry, serve as tangible examples of how the theoretical concepts surrounding smart contracts manifest in actual procurement processes. Design/methodology/approach:To investigate the application of smart contracts in healthcare procurement, we employed a qualitative research approach. This encompassed an extensive literature review of academic papers, industry reports, and relevant articles, uncovering the unique advantages and challenges in procurement &amp; supply chain management. Building upon these findings, we developed a groundbreaking smart contract-based procurement system, presented through sequence diagrams. To validate our solution, we implemented and rigorously tested it within a real-world Ethereum environment. Findings:Our research reveals that integrating smart contracts into procurement processes results in streamlined operations, diminished reliance on intermediaries, and heightened transparency and traceability. Moreover, the proposed solution showcases significant potential for enhancing procurement efficiency in the healthcare sector. Research, Practical &amp; Social Implications: These findings present valuable insights with far-reaching implications and hold substantial implications for stakeholders. Healthcare organizations can harness smart contracts to optimize their procurement procedures, yielding improved efficiency, transparency, and security. In a rapidly digitalizing landscape, our research empowers companies to maintain their competitive edge while delivering enhanced value to partners and customers. Originality/value:This article contributes significantly to the existing literature by offering a comprehensive examination of smart contract integration within procurement function, set within the broader context of supply chain management. It introduces a pioneering solution and provides a validated methodology, paving the way for in-depth exploration of smart contracts' impact on diverse stakeholders across healthcare supply chains
An Assessment of Healthcare Services in Jordanian Public Hospitals from the Perspective of COVID-19 Patients in the Aftermath of COVID-19

Hospitals faced many challenges during the COVID-19 pandemic when it came to providing healthcare to patients. These obstacles included limited bed availability, shortages of medical equipment and staff, insufficient drug supply, inadequate physical facilities, and a lack of healthy environments. As the pandemic continues into its third year, it has become clear that viruses could remain a permanent part of our lives, leading to a rise in the demand for healthcare services. With this in mind, a study was conducted to investigate the impact of different healthcare service dimensions provided by public hospitals in Jordan on patient satisfaction. The research revealed that reliability, assurance, and responsiveness are the most critical dimensions for patient satisfaction, followed by tangibility and empathy. In addition, the study discovered healthcare service characteristics positively affected patient satisfaction according to the patient's age, gender, and place of treatment. In addition, the study discovered healthcare service dimensions positively affected patient satisfaction according to the patient's age, gender, and place of treatment. In order to improve and manage the healthcare services offered to patients, the study advises public hospital administrators to identify the significance of healthcare service dimensions. Administrators should pay close attention to the dimensions of tangibility and empathy, which are strong yet good, and take into account patient demographic disparities.
Different Methods of Authentication for Mobile Banking

Online banking authentication has been recognized as a key factor in the security of online banking. nowadays, different methods have been developed for online banking validation which cause problems from hacker attacks and Internet theft. Our research showed that biometrics is appropriate options for dealing with these issues. In this article, different authentication protocols for online banking have been compered.
Comparison of multi-temporal and multi-methodical aquatic environmental assessments (on the example of the Pripyat River for 1999 and 2022)

The article uses the example of the Pripyat River to examine the methodological features and conditions for comparing multi-temporal and multi-methodological (obtained by different methods) assessments of the ecological state of the aquatic environment. Thus, when comparing the current ecological state (for 2022) of the Prypiat River, obtained by the statistical criterion (SC) method with the ecological state of the river in 1999, obtained by the method of aquatic plant groups (APG), it is proposed to form virtual standards of the SC method on the basis of reference sites of previous assessments of the ecological state of the river (1999). A comparison of the ecological state of the Pripyat River in 2022 and 1999 showed significant changes in the structure of water quality in 2022 compared to 1999, namely a decrease in dirty areas and an increase in moderately polluted and clean areas. The study confirms the validity of the proposed method of comparing multi-temporal and multi-methodological aquatic environmental assessments.
ANALISIS KESULITAN MEMBACA TEKS BAHASA INGGRIS PADA SISWA KELAS III DI SD ISLAM AT-THAHIRIN KOTA TANGERANG

This study aims to find out the problems texts in English learning at grade 3 at At-Thahirin Islamic Elementary School. This study used a qualitative descriptive techniques in the form of reading ability tests, teacher interviews, observation and documentation. Check the validity of the data using triangulation. Data is analyzed through the steps of data collection, data reduction, data presentation and drawing conclusions. Respondents in this study amounted to 7 people, namely 1 teacher and 6 students from grade 3.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF MENGGUNAKAN ARTICULATE STORYLINE 3 PADA TEMA 8 SUBTEMA 1 PEMBELAJARAN 2

Development of interactive learning media using Articulate Storyline 3 on theme 8 subtheme 1 learning 2. This research aims to develop interactive learning media Articulate Storyline 3 on theme 8 subtheme 1 learning 2 and knowing the feasibility of interactive learning media. The research method used is research and Development using the ADDIE model. A validation test was carried out on media, language, and material experts and implemented in class V, totaling 22 students. The results of the research show that the interactive learning media developed has a very feasible category, with media experts at 88% "very feasible", language experts at 100% "very feasible", and material experts at 96%, student responses getting an average of 94%, and Teacher responses obtained an average of 100% "very appropriate". Based on the research results, it can be concluded that interactive learning media uses Articulate Storyline 3 which has been developed is very suitable for use as learning media in the classroom.