Reviewerly/exHarmony huggingface dataset:
Cost Splitting for Multi-Objective Conflict-Based Search

The Multi-Objective Multi-Agent Path Finding (MO-MAPF) problem is the problem of finding the Pareto-optimal frontier of collision-free paths for a team of agents while minimizing multiple cost metrics. Examples of such cost metrics include arrival times, travel distances, and energy consumption. In this paper, we focus on the Multi-Objective Conflict-Based Search (MO-CBS) algorithm, a state-of-the-art MO-MAPF algorithm. We show that the standard splitting strategy used by MO-CBS can lead to duplicate search nodes and hence can duplicate the search effort of MO-CBS. To address this issue, we propose two new splitting strategies for MO-CBS, namely cost splitting and disjoint cost splitting. Our theoretical results show that, when using either splitting strategy, MO-CBS maintains its completeness and optimality guarantees. Our experimental results show that disjoint cost splitting, our best splitting strategy, speeds up MO-CBS by up to two orders of magnitude and substantially improves its success rates in various settings.
Analysis of Computer C Language Program Technology—Taking Vertical Division as an Example

The rapid development of computer technology has made the programming functions of C language more perfect, directly enhancing expression ability, and having strong flexibility and functionality in use.There are differences between computer C language programming technology and the commonly mentioned preloading, and it is necessary to enable the application to understand the usage methods and grammar knowledge of C language, in order to successfully complete code editing and achieve a certain software function.Based on this, the article first introduces the process of editing and running computer C language programs, proposes common errors in computer C language program editing, and then uses vertical division as an example to analyze the design and implementation of computer C language program technology, hoping to provide some reference for everyone.In the specific application of computer C language, it not only has all the characteristics of Highlevel programming language, but also has the advantages of good indirection.It is a systematic description language, and is also a common language mode in the programming stage.Computer talents are bound to master this technology.The vertical division in computer C language can present a starting calculation process, prevent the occurrence of calculation errors, and is widely used in work, learning, and daily life.In this regard, the establishment of a vertical division simulator can be achieved with the help of computer C language programming technology, understanding the array of C language, and using function knowledge to carry out experimental design, reflecting new engineering thinking.It is greatly helpful for using C language and learning C language well, and will cultivate more computer talents.
Analysis of the Influencing Factors of the Application Effect of Cloud Classroom in the "General Theory of Surgery" Teaching of Higher Vocational Colleges

With the continuous development of China's education reform, new technologies such as "cloud classroom" have begun to be gradually applied to the field of education.It combines traditional teaching methods with the advantages of modern information technology, and can realize a combination of online and offline hybrid teaching.The application of the cloud classroom to the course of "General Theory of Surgery" can improve the teaching quality and teaching effect, make it easier for learners to grasp knowledge and promote the improvement of learning effect.Based on this, this paper mainly studies and analyzes the influencing factors of the application effect of cloud classroom in the teaching of "General Theory of Surgery", aiming to put forward relevant suggestions, so as to provide guidance and reference for practical teaching activities.
KEYPOINTS ON THE IMAGES: COMPARISON OF DETECTION BY DIFFERENT METHODS

This paper investigates the effectiveness of image description using detectors and keypoint descriptors for image similarity evaluation. SIFT, SURF, ORB, and BRISK methods are compared for detection and matching procedures. Similarity coefficients are computed for each image pair, and corresponding similarity coefficient matrices are constructed for image similarity analysis. An evaluation of the speed of keypoint detection and description for each of the methods was conducted. It was found that SIFT yielded the he SURF method performed better in recognizing similar images compared to BRISK and ORB, but was significantly slower. The research results can be useful in the field of visual search and image identification. Keywords : SIFT, SURF, ORB, BRISK, detection, description, keypoints.
Do They Read for Pleasure? Surveying Secondary School Teachers of District Lahore, Pakistan

Every society is focused on developing readers who not only can read but also want to read. This rule is more employed on teachers when it is evidenced that good readers lead to good teachers. The students are modelling their teachers hence, it is necessary for a school teacher to be good readers to produce good readers and lifelong learners. The current study explored secondary teachers’ reading attitudes, priority towards reading, and engagement activities. Method: The data were collected by surveying 400 secondary school teachers who were teaching in public sector schools of District Lahore, Pakistan. A total of 40 (20 males, 20 females) randomly selected public secondary schools were approached to collect data from 400 teachers through a questionnaire. Data were analyzed using SPSS 22 version. Results showed that secondary school teachers perceived themselves as devoted readers and they are reading in their leisure time by considering reading pleasure and relaxing activity. The study was the first of its kind to report reading habits among secondary school teachers teaching in District Lahore, Pakistan.
Object Tracking with the Drone: Systems Analysis

The fast improvement in computer vision and the increase in the range of its application around the world. And at the same time the improvement of unmanned aerial vehicles (UAV). The computer vision application is being integrated with the drone to achieve several purposes. one computer vision application that is used with the drone is object tracking. This type of task is used with the drone to achieve semi-autonomous movement of the drones, depending on the movement of the pre-determined target. This work categorizes the two methods to design object tracking by drone.
Rhetorical Moves of Research Article Abstracts Written by American and Indonesian Authors : Comparative Study

As an indispensable part of the Research Article (RA), an abstract should be well written. The variability of information included in a research article abstract will likely vary because of different discourses among academicians worldwide. This paper compares the rhetorical moves manifested in research article abstracts written by American and Indonesian authors published in two reputable journals. Data presented are move sequences of 25 Research Article (RA) abstracts from the latest six years issue (2022-2016). The abstracts were selected from a particular discipline, English language teaching and learning, to control the variability. Each move was identified based on the lexical used. The findings revealed that Move 1-Move 2-Move 3-Move 4-Move 5 and Move 2-Move 3-Move 4-Move 5 were the most salient move patterns found in both groups. Interestingly, abstracts of American authors showed cyclicity patterns and had an additional Move. Move 3 and Move 4 were considered as obligatory Moves, while Move 1 and Move 5 could be positioned as optional Moves. The study also found that American and Indonesian authors' writing styles differed. The implication of this study is expected to strengthen the theory of rhetorical moves in the literature. Also, it can be scientific evidence for Indonesian scholars to get a reference of how native academicians write their abstracts in reputable international journals
The educational environment as a way of prospective teachers’ ecological culture formation while studying natural science courses

Currently, the problem of ecological culture is becoming generally recognized. The ecological direction in the system of higher professional education in the process of prospective teachers ecological culture formation is a noticeable factor. There is a need to systematize ecological and natural science pedagogical education: there is a change of axiological systems, cultural norms and values among the modern younger generation, the issues of ecological culture formation among students of pedagogical universities are not fully considered. The state educational standard of higher professional pedagogical education emphasizes the primary task to form the teachers personality with a high ecological culture, striving for harmonious interaction with the natural environment, a personality that is distinguished by the presence of attitudes, beliefs, and the need for activities to preserve and improve nature. There is a need for the dominant role and responsibility of prospective teachers in solving the issues of ecological culture formation among young people who are able to form a personality that is distinguished by the presence of beliefs of a conscious, careful, responsible attitude to the natural environment. In this regard, the need to increase attention to ecological culture formation among students of pedagogical universities becomes significant at the socio-pedagogical level. Ecological culture is not a specific type, but an integral part and level of human culture as a whole. The priority role in ecological culture formation among students belongs to the natural sciences, which form the foundation of the scientific understanding of the world. At the stage of modern university education, the ecological culture of youth develops on the principles of unity of the historical relationship between the natural environment and society, the social conditionality of the individuals relationship to nature, and the desire to harmonize these relations. The diversity of interaction between society and nature determines the complexity of environmental education, its main principles: a transdisciplinary approach to ecological culture formation, systematic and continuous study of scientific material, the unity of mental and emotional-volitional principles in the activities of students to study and improve the natural environment; the relationship of global and local environmental problems. This is emphasized by many scientists. The leading role in prospective teachers ecological culture formation is played by the educational environment of the university.
Research on Strategies for Improving Classroom Teaching Effectiveness under the Background of Educational Informatization

The effectiveness of classroom teaching has always been the focus of teaching attention.With the deepening of education information reform, the Ministry of Education attaches more and more importance to the cultivation of students' comprehensive literacy and innovation ability.In primary and secondary school teaching, if teachers want to ensure the teaching quality, they must pay attention to the effectiveness of classroom teaching and change the original teaching mode to ensure the effectiveness of classroom teaching.This paper first analyzes the basic elements of the effectiveness of classroom teaching, then explores the existing problems in classroom teaching, and finally analyzes the strategies of how to improve the effectiveness of classroom teaching.
ANALISIS KEMAMPUAN LITERASI NUMERASI SISWA SMP KRISTEN KALAM KUDUS AMBON

This study aims to identify students numeracy literacy capability. The research was conducted towards 8th grade student’s of Kristen Kalam Kudus Junior High School Ambon. Ever since 66 students, 20 students were randomly selected as research samples. The data collection was carried out using a numeracy literacy test instrument. To obtain data on the learning process in school, the development of numeracy literacy, was conducted using Learning Process Document wich was prepared by Mathematics Teacher. The data where analyzed using a five-scale conversion according to Ratumanan and Laurens (2015). The data review also where analyzed using qualitative descriptive analysis methods. According to this study, it was known, there are 2 students (10%) had a good numeracy literacy capability, 3 students (15%) had good numeracy literacy capability, 4 students (20%) had a sufficient literacy capability, 4 students (20%) have a deficient capability, meanwhile 7 students (seven) (35%) have a lower rate in literacy capability. The study from learning Process Document conducted by Mathematics Teacher, finding the result, which is : (1) The attention of the higher order thinking development has been accommodate. The result of this study can be seen in the formulation of objectives learning that accommodate the level of reasoning, the stages of learning accommodate the problem solving process, as well as practice questions and assessments that also accommodate the level of reasoning, (2) Implication of context in presenting the problem has been accommodated both in teaching materials and practice questions and tests, (3) the forms of questions/problems in learning and assessment are limited to multiple choice questions and descriptions. This shows that the efforts to develop numeracy literacy have been paid attention by the teacher, in despite of teacher's performance which has not been decent
Cyanobacterial algal blooms: An annotated selection of World Wide Web sites relevant to the topics in environmental microbiology

Environmental MicrobiologyVolume 25, Issue 7 p. 1375-1376 Web Alert Cyanobacterial algal blooms: An annotated selection of World Wide Web sites relevant to the topics in environmental microbiology Lawrence P. Wackett, Lawrence P. Wackett McKnight Professor Department of Biochemistry, Molecular Biology & Biophysics, BioTechnology Institute, University of Minnesota, St. Paul, MN, 55108 USASearch for more papers by this author Lawrence P. Wackett, Lawrence P. Wackett McKnight Professor Department of Biochemistry, Molecular Biology & Biophysics, BioTechnology Institute, University of Minnesota, St. Paul, MN, 55108 USASearch for more papers by this author First published: 03 July 2023 https://doi.org/10.1111/1462-2920.16061Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume25, Issue7July 2023Pages 1375-1376 RelatedInformation
Penerapan Model Probing Prompting Dengan Flash Card Untuk Meningkatkan Kemampuan Membaca Siswa Kelas III Sekolah Dasar

This research was carried out with the aim of helping third grade students at Jatisari 01 Public Elementary School in improving their reading skills using the application of the probing prompting model with flash cards. This research was compiled using Classroom Action Research (CAR) or Classroom Action Research (CAR). As many as 11 grade III students at SD Negeri Jatisari 01 were the subjects of this study. The results of students' reading ability are measured using predetermined criteria and indicators. The results showed that: in the first cycle students had an average reading ability of 17.8%, and the percentage level of mastery reached a moderate level. With a completeness level of 67.67% which fulfilled the researcher's target of 84%, in cycle II there was an increase in the average student's reading ability to 84.5% which was considered high. Based on the results of examining the data, it was concluded that the use of the probing prompting model with flash cards could improve the reading ability of class III students at SD Negeri Jatisari 01.
An efficient confidentiality protection solution for pub/sub system

Abstract Publish/subscribe(pub/sub) systems are widely used in large-scale messaging systems due to their asynchronous and decoupled nature. With the population of pub/sub cloud services, the privacy protection problem of pub/sub systems has started to emerge, and events and subscriptions are exposed when executing event matching on untrustworthy cloud brokers. However, as the number of subscriptions increases, the effectiveness of the previous confidentiality protection approaches declines drastically. In this paper, we propose SBM (scalable blind matching), an effective confidentiality protection scheme for pub/sub systems. To the best of our knowledge, SBM is the first scheme that applies order-preserving encryption algorithm to protect the system’s confidentiality and ensure its scalability. In this scheme, SBM-I is highly effective in subscription matching but is unable to achieve ideal security IND-OCPA, whereas SBM-II is suggested to ensure system security and SGX is used to reduce interaction and boost ciphertext matching performance. The experiment demonstrates that this method has better matching performance compared to others: the average matching time of SBM-I is 3–4 orders of magnitude faster than the matching algorithm MP and SGX-based algorithm SCBR when the number of subscriptions is 500,000, and the average matching time of SBM-II is 40 times faster than MP and 24 times than SCBR.
AlexNet-based deep convolutional neural network optimized with group teaching optimization algorithm (GTOA) for paediatric bone age assessment from hand X-ray images

Bone age assessment is used to diagnose paediatric growth because some types of bone diseases occur in childhood. To overcome these issues, AlexNet-Based Deep Convolutional Neural Network Optimized with the Group Teaching Optimization Algorithm is proposed. First, input images are gathered via RSNA paediatric bone age dataset. These images are preprocessed using Wavelet Packet Transform Cochlear Filter Bank. Then input hand X-ray images’ ROI is segmented using Bayesian fuzzy clustering. Then segmented ROI region is fed to ADCNN that accurately predicts BAA. In general, ADCNN does not divulge any optimization techniques adopted for determining the optimal parameters and ensuring accurate classification. Therefore, the GTOA is used to optimize the ADCNN weight parameters. The proposed approach is done in MATLAB and various performance metrics such as accuracy, F-score, sensitivity, precision, specificity, CCC and CC. The BAA-ADCNN-GTOA method provides higher accuracy 23.75%, 17.97%, 31.65% compared with existing methods, like BAA-CNN-RRNN, BAA-RNN-AF-SFO, BAA-U-Net-CTO- WOA, respectively.
Unsupervised Fuzzy-Multi-Core Aspect Sentiment Analysis for Big Data of Online News Users' Persian Opinions

An online news article can cover various topics or contain different aspects of a subject, encouraging readers to express their opinions on specific topics or aspects. Sentiment analysis evaluates the overall sentiment of the audience towards the entire news article, whether it is positive, negative, or neutral. However, in aspect-based sentiment analysis, the focus is on determining which aspect of the news article the opinion is referring to. Extracting the relevant aspect in sentiment analysis involves identifying the part of the article that the reader has expressed an opinion about. This task can lead to a more precise analysis of audience reactions to future news and events. To accomplish this, the news text is segmented into constituent sentences and transformed into a vector space. Then, an unsupervised clustering method is applied to extract various aspects of the news. Fuzzy multi-core clustering is employed as the clustering technique, which has lower computational overhead and can handle uncertain, noisy, and outlier data easily. The implemented approach is based on the concept of feasibility and utilizes multi-core learning to detect clusters in complex data structures. This method remains robust against issues such as ineffective cores or unrelated features by automatically adjusting the core weights within an optimized framework. Furthermore, support vector machines are employed to establish the relationship between opinions and relevant aspects. The transition to the vector space, the mapping process, clustering operations, and aspect extraction are performed in the reducer.
SG-Det: Shuffle-GhostNet-Based Detector for Real-Time Maritime Object Detection in UAV Images

Maritime search and rescue is a crucial component of the national emergency response system, which mainly relies on unmanned aerial vehicles (UAVs) to detect objects. Most traditional object detection methods focus on boosting the detection accuracy while neglecting the detection speed of the heavy model. However, improving the detection speed is essential, which can provide timely maritime search and rescue. To address the issues, we propose a lightweight object detector named Shuffle-GhostNet-based detector (SG-Det). First, we construct a lightweight backbone named Shuffle-GhostNet, which enhances the information flow between channel groups by redesigning the correlation group convolution and introducing the channel shuffle operation. Second, we propose an improved feature pyramid model, namely BiFPN-tiny, which has a lighter structure capable of reinforcing small object features. Furthermore, we incorporate the Atrous Spatial Pyramid Pooling module (ASPP) into the network, which employs atrous convolution with different sampling rates to obtain multi-scale information. Finally, we generate three sets of bounding boxes at different scales—large, medium, and small—to detect objects of different sizes. Compared with other lightweight detectors, SG-Det achieves better tradeoffs across performance metrics and enables real-time detection with an accuracy rate of over 90% for maritime objects, showing that it can better meet the actual requirements of maritime search and rescue.
Digital Malaysian Tradition Game: A Case Study of Baling Tin

Baling Tin is one of Malaysia’s popular traditional children’s games. However, as time passes, Baling Tin has practically almost vanished. Children nowadays are more interested on digital games. This study aims to preserve the traditional games by digitalising it in tandem with the current interest. The challenge in this study is to re-create the physical game play into a digital game play. The game application which was developed for primary and middle school childrenalso includes interactive 3-D objects, images, sounds, and suitable theme colours.Furthermore, the user can explore many other captivating pages, including Shop and Quest. Even though the game was designed for Malaysian community, it comes with dual language to enhance user preference. The functionality of the game mechanics was tested. The game fulfils game characteristics and imitate the traditional physical gaming.This application is believed to help younger generations become more familiar with one of Malaysia’s traditional games, Baling Tin, and preserve traditional games.