Reviewerly/exHarmony huggingface dataset:
Towards Safe and Efficient Human-Robot Collaboration: Motion Planning Design in Handling Dynamic Obstacles

This paper primarily concerns the enhancement of human safety within shared workspaces with collaborative robots. In this paper, an extension to motion planning framework is proposed in order to support re-planning of trajectories or re-routing to new tasks when dynamic obstacles are encountered within the planning area. A behaviour tree based controller is designed to manage the execution of tasks and enforces safety when the system encounters any obstacles in the workspace. Experimental validation encompasses simulated and real-time settings, involving dynamic obstacle scenarios.
Layer-7 and 5-Tuple Information Analysis Framework for Providing Positional Flexibility In Location Determination for Service Provision

In a smart community, which is an initiative to create an efficient regional society by leveraging information and communications technology (ICT), various data exchanges and data processing are performed. Owing to the demand for network transparency in data processing, packet rewriting is required at network edges. In the packet rewriting process, packets need to be analyzed after obtaining the necessary permissions. A conventional method for packet analysis is using a 5-tuple. While this method can analyze packets by a service user, it cannot analyze packets by a service. Moreover, service provision needs to take place at the appropriate locations with respect to the privacy level, and service provision locations need to be flexible enough to change even subsequent to the commencement of services. To address this issue, there is a need to enable positional flexibility in determining the location for service provision between the data source and cloud. In this study, assuming that the permission to analyze packets had been obtained within the smart community, we implemented a framework that could analyze not only 5-tuple but also layer-7 (L7) information and rewrite packet contents based on the analysis results. The process performed at the edge first analyzed the header of the incoming packet to determine whether the packet was subject to L7 information analysis. If the packet was subject to analysis, the L7 information was analyzed to determine whether the packet was subject to rewriting. A packet subject to rewriting were rewritten and forwarded accordingly. For this series of packet process, we used the Data Plane Development Kit (DPDK), a tool that could speed up packet processing. The framework was applied to the anonymization process, and the delay due to the anonymization process was 0.195 ms. With this framework, it is possible to achieve the packet content rewriting process at any point between the IoT device and the cloud by modifying the location of the edge node.
Lexical Broadening Process of English Cosmetics advertisements: A Lexical Pragmatic Study

if it is employed in the suitable manner. Cosmetics ads have an integral part of our daily lives since the arrival of internet. Accordingly, there still exists an obvious gap to be filled by approaching these ads from the perspective of lexical pragmatics (henceforth LP). The problem addressed in the current study is simply represented by the sort of uncertainty that may exist over the type of lexical broadening processes employed by the designers of these ads and the strategies they employ to influence their consumers and get them involved into these ads. The present paper aims to investigate the lexical broadening processes employed by the advertisers to construct their intended meanings and messages. This study is based on the hypotheses that the advertisers depend heavily on lexical broadening processes to convey their ideas and intended messages. It is also hypothesized that by using various lexical broadening processes, the advertisers express the intended meaning in their ads. The selected cosmetics ads have been analyzed in the light of Wilson and Carston )2007( model. The analysis of the selected ads has shown that the advertisement-markers depend on lexical broadening processes because they are heavily used in the selected ads.
Exploring the Effect of Internet Learning and Internet of Things in Education: Applications and Challenges

Education is the source of achievement in the world of competition. In addition, it has a significant contribution to the development of human beings. Before it was thought that education only means being able to write and read, but now the concept is totally changed. Modern trends in teaching and learning have been introduced. The emerging world arises technology which has billions of connected devices today in the world even twice the human population. The Internet of Things works on an internet-based system and it is also a sort of network semantic concerned with. Technical learning or E-learning is a way by which people get benefits as it is mini software that we keep in our phones and electronic devices too. Hence, this study anticipated to explore the importance of E-learning and IoT in Education.
Pelatihan Pengolahan Data Menggunakan Software SPSS di Kantor Lurah Bungo Pasang Kec. Koto Tangah

Limitations of officers in analyzing data in district offices. Most of these problems are caused by the lack of knowledge and expertise of the apparatus and the limited number of computers. The data in the district office is not stored properly, and there is no data management and technology-assisted data presentation. Implementation method by providing training and mentoring. The training provided is in the form of basic skills in using SPSS in presenting district population data. Its activities are training and assistance in presenting and processing data using the SPSS program in the Bungo Pasang District. The implementation of the service conducted interviews and provided questionnaires to find out the extent of the training participants' understanding of the use of SPSS software. The service team explained the presentation of the data accurately and concisely. District employees are helped in understanding and processing data using this SPSS software. District officers find it helpful in their work with the applications taught.
Smart Education for Industry 4.0 Sustainable Futures: A New Theory of Maximization for Learner Success

This research presents a novel theory of maximization aimed at enhancing learners’ performance in sustainable education. The theory proposes a comprehensive model that integrates four key dimensions: Knowledge Leverage, Technical Skills Scaling, Soft Skills Scaling, and Personality reshaping. The effectiveness of the theory is evaluated through a combination of theoretical analysis and experimental processing, utilizing machine learning algorithms (logistic regression) to gather parameters on learners’ performance in these dimensions in real time. The proposed theory of maximization introduces a dynamic and live monitoring system for learners, which raises alerts when performance declines and provides targeted suggestions for improving specific knowledge or skills. The results of the study demonstrate the potential of the proposed theory in positively impacting at-risk students, with a reduction in at-risk rates by 35% in the Security major and 33% in the Application Development major, compared to a baseline of 48%. Additionally, the proposed theory assists in major selection and provides proactive advising, leading to a learner retention rate of above 90%, significantly higher than the previous rate of 70%, particularly during the early stages of joining the college which also reduces the cost of education. Despite some limitations, such as small sample sizes and privacy issues, the proposed theory has promising implications for the field of smart and sustainable education, providing valuable insights for practitioners and researchers.
Augmented Reality as a Media for Distance Learning in the Digital Era: Contribution in Improving Critical Thinking Skills

As a result of the COVID-19 pandemic, education has undergone a transformation in the learning methods it has carried out so far, from face-to-face to virtual face-to-face or better known as distance learning. Distance learning is a way of independent learning using technology. Usually, this learning method is considered less effective in developing critical thinking skills. Therefore, this study aims to measure the effectiveness of one of the technologies used for distance learning, namely smartphone-based Augmented Reality (AR) in improving critical thinking skills. The subjects involved in this study were second grade vocational high school students in Surakarta with a total sample of 120 students. Furthermore, the true experiment design research method of the Pretest-Posttest Control Group Design was used and the data were collected by studying the observation syntax, while data analysis techniques were conducted by using One-Way ANOVA statistical test. As for the results of this study, namely Surakarta State Vocational School X obtained an average test result in a class that used augmented reality media which was 71.4 points, higher than the class that did not use AR learning media, namely 51.03. The same results were also shown at Surakarta State Vocational School Y, where the class that used augmented reality (AR) media obtained an average test score of 69.47, which was greater than the class that did not use it, that was only 45.67. These results indicate that the use of smartphone-based augmented reality technology is quite effective in developing students’ critical thinking skills in distance learning.
Artificial Intelligence in Global World: A Case Study of Grammarly as e-Tool on ESL Learners’ Writing of Darul Uloom Nadwa

Studies worldwide have explored how Grammarly as Electronic Tool (e-Tool) assists English as a Second Language (ESL) students in enhancing their writing. The present study aims to improve Madrasa ESL learners’ writing by minimizing inflectional morphemes related errors at Darul Uloom Nadwatul Ulama in Lucknow, Northern part of India. The study participants included sixty-eight Madrasa students who were enrolled in Alimiyat (equivalent to 12th) grade and were formed into two separate groups: an experimental group was treated with Grammarly, while the control group got instruction using the communicative language teaching approach. The data was collected from all participants before and after the treatment. A quantitative approach was used to the analysis of the data. A repeated-measures two-way ANOVA test revealed that Grammarly enhanced ESL learners’ writing for inflectional morphemes following treatment in the experimental group relative to the control group. These findings demonstrate how ‘Grammarly’ as and e-Tool may support ESL writers, especially novel writers who find it challenging to write well in English.
Horizontal Federated Density Peaks Clustering

Density peaks clustering (DPC) is a popular clustering algorithm, which has been studied and favored by many scholars because of its simplicity, fewer parameters, and no iteration. However, in previous improvements of DPC, the issue of privacy data leakage was not considered, and the “Domino” effect caused by the misallocation of noncenters has not been effectively addressed. In view of the above shortcomings, a horizontal federated DPC (HFDPC) is proposed. First, HFDPC introduces the idea of horizontal federated learning and proposes a protection mechanism for client parameter transmission. Second, DPC is improved by using similar density chain (SDC) to alleviate the “Domino” effect caused by multiple local peaks in the flow pattern dataset. Finally, a novel data dimension reduction and image encryption are used to improve the effectiveness of data partitioning. The experimental results show that compared with DPC and some of its improvements, HFDPC has a certain degree of improvement in accuracy and speed.
The Importance of Idiomatic Expressions In Improving Communicative Competence of FEL Learners using Fourth year students of Educational College as a Model

The study aims to show the importance of idiomatic expressions since they are regarded as significant linguistic units for learners of English as a foreign language (LEF).Idiomatic expressions are expressions each of which consists of two or more words whose meaning differ from the literal meaning of the individual word .These expressions are really a problem for the student majoring in English that they do not understand them .The study also aims at exploring the rule of idiomatic expressions in improving communicative competence and whether these expressions have effective role in improving the student's performance in language. The Study follows the descriptive analytical methods. The tools used for collecting the data are the interview and two tests. The interviews are conducted with university lectures who teach English language .A pre-test and post-test are conducted for the student majoring in English who are students from the department of English . statistical social sciences (SPSS) programme is used for data analysis . The most important result are there is a significant difference between the student's performance in the pre-test and their performance in the post-test. There is a consensus about the necessity of the inclusion of idiomatic expressions in university syllabuses (95.2% of the lecturers).The study recommends that idiomatic expressions should be focused on and included within the syllabuses of universities in Iraq, besides adopting effective methods and techniques in teaching such linguistic elements .
Real Time Face Mask Detection Using Inception-V3

Abstract: This project was developed for detecting people’s faces and segregating them into two classes, masks and without masks is done with the help of image processing in real-time and deep learning. The proposed model is built by fine-tuning the pre-trained deep learning model, InceptionV3.The model was trained on a WIDER dataset of 8,262 images. The model performed greatly achieving an accuracy of 99% overall.
Predicting Pancreatic Cancer using AIML Techniques

Abstract: The late diagnosis and low survival rates associated with pancreatic cancer make it a substantial global health challenge to detect at an early stage. The aim of this study is to explore the potential of deep learning methods in enhancing the early identification of pancreatic cancer. To build a convolutional neural network (CNN) model to detect early indications of pancreatic malignancies, we employed medical images from a computed tomography (CT) scan dataset. By illuminating the potential of deep learning as a tool, our discoveries bring hope for enhanced patient survival rates by aiding in the early diagnosis of pancreatic cancer. The importance of artificial intelligence in medical imaging and its revolutionary effects on cancer diagnosis are emphasized by this research. Pancreatic Tumor stands as a global leader in responsible death rates caused by cancer. Curing pancreatic cancer is possible when detected early
Analysis of quantum gates in quantum circuits

Although classical computing has brought great convenience to mankinds lives, classical computing is facing some problems. Combining computer science, information theory, and quantum mechanics, quantum information has been developed in many fields. Quantum gates can operate quantum bits, the carrier of quantum information, while quantum circuits are composed of quantum gates and quantum bits, showing the logic of operations. This study summarizes the fundamental concepts of quantum informatics: qubits, quantum circuits, and quantum gates where it is proved that single-bit quantum gates and CNOT gates are universal quantum gates. In addition, this research also demonstrates the current progress of quantum gates in the examination of fidelity of quantum gates, improvement of fidelity of quantum gates, and teleportation of quantum gates. Meanwhile, according to the current development status, the limits and prospects of quantum information are discussed. These results shed light on helping readers understand the basic concepts of quantum information, thus understand the future applications and developments in quantum information.
Aspects Considered by a Prospective Teacher When Reflecting on a Virtual Classroom

Background : Reflection is one of the fundamental skills in initial teacher training, and curricula need to consider activities in a variety of educational contexts and situations that allow or encourage its development . Objectives : This investigation is intended to characterise the pedagogical, mathematical, and technological criteria that a prospective mathematics teacher establishes and uses when reflecting on events occurring in a virtual classroom. Design : The investigation was guided by a qualitative methodology of an exploratory-descriptive nature. Setting and Participants : the participant was a fifth-year licentiate student, and the data were collected during the second semester of 2022. Data collection and analysis : The content analysis method was used, and information was collected through questionnaires. Results : The results show that this student was able to adapt predefined schemes or proposals from the Technological, Pedagogical Content Knowledge (TPACK) model to create indicators that allowed her to carry out a descriptive but not particularly analytical reflection, however, although such adaptation was in agreement with expectations, there was little creation of new aspects. Conclusions : It is concluded that to provide an opportunity for prospective teachers to reflect on a lesson, previous aspects or other models or theories can be studied since starting directly from the TPACK domains and sub-domains may not be a practical methodological tool for student reflection, given that this framework does not have analysis criteria for improvement.
Analysis of application of FFT in quantum field

The algorithm concept of fast Fourier transform, Heisenberg uncertainty, and the combination of the two are expounded. Fast Fourier Transform (FFT) is not a new discrete Fourier Transform, but a fast algorithm for Discrete Fourier Transform (DFT). For a long time, the DFT was not really used because of the large amount of computation, even if it was used by computers, it was difficult to deal with problems in real time. It was not until when Cooley and Key first proposed a fast algorithm for DFT operations, and later, when fast algorithms by G. Sullivan and. Key appeared in succession, that fundamental changes took place. People began to realize some inherent laws of DFT operation, and thus quickly developed and improved a set of high-speed and effective operation methods, which is now commonly known as the fast Fourier transform FF11 algorithm. Specifically, the position of a particle and its momentum cannot be determined simultaneously in a quantum mechanical system. It focuses on the proof and application of the Heisenberg inequality by TTF. Due to the different ways and methods of practical application, the practical significance and practical value of the application are for readers' reference. Besides, the space is limited and my knowledge is limited. Finally, the development direction of FFT in quantum physics is summarized.
State-of-art applications and the function of quantum entanglement in quantum information

Quantum information is a cutting-edge technology that has numerous applications. It mainly makes usage of some quantum entanglement characteristics and uses the quantum entangled state as a carrier for information transfer. Therefore, compared to traditional information, quantum information has excellent features, e.g., stronger security and reduced susceptibility to interference. This article introduces the definition, concept, characteristics and history of quantum entanglement and quantum information. To be specific, this study lists the applications of quantum entanglement in communication and radar. In addition, it gives an outlook on the future function of quantum entanglement in quantum information based on the advantages and disadvantages of quantum entanglement. Contemporarily, the field of physics is rapidly advancing in both quantum entanglement and quantum information, and there have also been significant technological advancements. In experiments, scientists have been able to extend the transmission distance of quantum information to great distances. At the same time, scholars are looking for ways to minimise the interference of quantum information during transmission. In constant exploration and experimentation, the experimental results have inspired scientists to explore the deeper realms of quantum information.
EFFECT OF SOCIAL MEDIA WHATSAPP ON READING INTEREST OF TENTH GRADE STUDENTS OF SMA NEGERI 1 PENEBEL

The aim of this study was to find out the significant effect of social media WhatsApp on students’ reading interest at the tenth-grade students of SMA Negeri 1 Penebel in the academic year 2022/2023. In this study there were 32 students who taken as the sample and it determined using cluster random sampling technique. First, this sample used as control group taught using Google Classroom. Then, it used as experimental group taught using WhatsApp. The research method used in this study was a quantitative approach using pre-experimental design with type One Group Pretest-Posttest. The data collection is using questionnaires as pre-test and post-test in order to find out students’ English reading interest respectively. The data collection of students’ reading interest was carried out using 21 questionnaires as pre-test and post-test. It calculated with descriptive analysis and inferential analysis using SPSS version 26 for windows. The results of the study were the t-test obtained tcount &gt; ttable obtained (5.668 &gt; 0.3440). It means null hypothesis (H0) in this research is rejected and the alternative hypothesis (Ha) which stated there is significant effect of social media WhatsApp toward students’ reading interest is accepted. Thus, it can be concluded that there was a significant effect of social media WhatsApp toward students’ reading interest at tenth-grade students of SMA Negeri 1 Penebel.
Advancements in arena technology: Enhancing customer experience and employee adaptation in the tourism and hospitality industry

&lt;p&gt;In today’s fast-paced and highly competitive tourism and hospitality industry, technological advancements play a pivotal role in shaping customer experiences and employee adaptation. Technological innovations such as mobile apps, artificial intelligence (AI), virtual reality (VR), and the Internet of Things (IoT) have revolutionized how businesses interact with their clientele. Mobile apps enable guests to make reservations, check in, and access key information conveniently; while AI-powered chatbots provide instant responses to queries. VR and IoT enhance the immersive experience, allowing customers to preview destinations and control room features seamlessly. Moreover, technology-driven data analytics and personalization algorithms enable businesses to gain valuable insights into customer preferences and behaviour, facilitating customized service delivery. The hospitality industry is seeing the integration of robotics and automation in tasks such as room cleaning and food delivery, freeing up employees to focus on more personalized guest interactions. In this endeavour, technological advancements have emerged as a powerful catalyst, revolutionizing both customer experiences and employee roles within this sector. The significance of this study is indicative in the fact that it addresses a major concern of the level of technology that needs to be adapted and areas where restraint is needed. This research paper delves into the evolving landscape of technology in the tourism and hospitality industry, focusing on its profound impact on enhancing customer experiences and the essential need for employee adaptation.&lt;/p&gt;