Reviewerly/exHarmony huggingface dataset:
Retraction: The Innovative Reform of Public English Teaching in Higher Vocational Education Based on Computer Information Technology (J. Phys.: Conf. Ser. 1744 032050)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on the Construction of Young Teachers in Colleges and Universities of Traditional Chinese Medicine Based on Computer Multimedia System (J. Phys.: Conf. Ser. 1744 042045)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Point Pairs Optimization for Piecewise Linear Transformation of Multimodal Remote Sensing Images by the Similarity of Log-Gabor Features

The registration of multimodal remote sensing (MMRS) images often suffers from local deformations and obvious nonlinear radiometric differences. Piecewise linear (PL) transformation handles local deformations well but requires a stricter position accuracy of feature point pairs (FPPs). After outlier removal, the inevitably remaining outliers lead to lower local registration accuracy. To fix this issue, we propose a new similarity metric <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MSOLG<sub>SSIM</sub></i> , which combines the multi-scale and multi-orientation Log-Gabor features with structural similarity. The metric is then used to optimize the FPPs by maximizing the similarity between the fixed and the registered images to improve the registration accuracy of the PL transformation. Experimental results based on eight pairs of MMRS images demonstrated the robustness of the proposed similarity metric and the effectiveness of the FPPs optimization method. The code of the proposed method can be downloaded from https://github.com/HoucaiGuo/FPPs-Optimization-Multimodal.
Retraction: Research on the Impact of English Language and Literature on College Students’ English Acquisition Ability Based on Big Data Technology (J. Phys.: Conf. Ser. 1648 042026)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on Automatic Welding of Marine Steel Plate Based on Artificial Intelligence (J. Phys.: Conf. Ser. 1744 022041)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Thoughts on the Cultivation of Innovative and Entrepreneurial Talents in Colleges and Universities Based on the "Craftsman Spirit” Based on Big Data Analysis (J. Phys.: Conf. Ser. 1648 032196)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on the Promotion Path of Teachers’ Scientific Research and Innovation Ability based on Big Data Analysis of “Double High Program” Construction (J. Phys.: Conf. Ser. 1744 042093)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on Network Teaching of Music Major Based on Artificial Intelligence Technology (J. Phys.: Conf. Ser. 1648 042094)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Advances in Plant Genetic Engineering Based on the Analysis of Big Data from the Perspective of Biological Mechanism (J. Phys.: Conf. Ser. 1744 022086)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: The Development and Spread of the Traditional Music Based on the Big Data (J. Phys.: Conf. Ser. 1744 032167)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on Innovation of Network Information Security Technology Based on Cloud Computing (J. Phys.: Conf. Ser. 1648 022103)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Analysis of the Status Quo of Employment and Entrepreneurship of College Students in the New Era Based on Big Data Analysis and Discussion (J. Phys.: Conf. Ser. 1648 032038)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Construction and Implementation of Quality Evaluation System of Government Accounting Professional Training based on Cloud Platform (J. Phys.: Conf. Ser. 1744 032060)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Tingkat Pengetahuan dan Pemahaman Mahasiwa Dalam Menggunakan Aplikasi SPSS Untuk Mata Kuliah Biostatistik

Biostatistics is the application of statistics in the field of Medical Records and Health Information (RMIK). Data used as accurate information material is usually taken from raw data that has been processed and then presented as statistics in the form of tables and graphs or other forms of reports. Data presentation is an activity that collects various information and is then compiled, thus providing conclusions and taking actions.This study aims to help determine the level of knowledge of students of the Health information management study program in analyzing and testing data using the SPSS application at the STIKes Santa Elisabeth Medan campus. The population used is all students of the Health Information Management study program level 1 with a total sample of 9 people. This type of research is a descriptive study whose purpose is to present the picture to be studied. The instrument used is a questionnaire. Analyze data descriptively.
Understanding ethnic bleaching behaviours of the animation character designs and its determinants in Malaysia: a social cognitive theory perspective

This study has aimed to determine the factors that influence the ethnic bleaching behaviours towards the student's creation of animation character designs in Malaysia. Qualitative and quantitative research methods were utilised with 44 informants, and 177 respondents of students and lecturers from three universities in Malaysia participated in the data collection process. The findings have shown the factors that impact the ethnic bleaching phenomenon, categorised into four main themes and 17 sub-themes. Through the lens of the social cognitive theory, the study asserts that the ethnic bleaching behaviour of the student's animation character design is influenced by the interplay of the triangular interaction between the media influences, individual influences, development of local animation, and learning and understanding. Future studies should look into the impact of other factors that might be important to impact the behaviour of students in the creation of animation character designs in Malaysia.
Applications in AIoT: Federated Distributed Learning for Edge IoT

Along with the fast growth of Internet of things (IoT) as well as artificial intelligence (AI), the edge AI, a system that makes use of locally produced data to train a machine learning (ML) model at the wireless edge network, has boosted much attentions from academic and communities communities [1–3]. Specifically, federated learning (FL) has been designed to enable an edge server to synchronize enormous IoT devices for collaboratively learning a communal ML model without having access to the original data generated by each IoT device [4]. Nevertheless, FL encounters a number of vital difficulties, including different local datasets (data heterogeneity) and different computing capabilities (device heterogeneity) of mobile devices [5]. Additionally, the training process of FL is limited by the training time as well as the constrained communication resources for supporting a great deal of IoT devices. Herein, the famous FedAvg scheme [4] with local stochastic gradient descent (local SGD) as well as partial participation of devices is frequently utilized to decrease the training time and cost [6]. Moreover, multiple improved FL schemes have been designed to decrease the inter-device variance triggered by data heterogeneity [7, 8] and device heterogeneity [5, 9].
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition

Nested entities are observed in many domains due to their compositionality, which cannot be easily recognized by the widely-used sequence labeling framework. A natural solution is to treat the task as a span classification problem. To learn better span representation and increase classification performance, it is crucial to effectively integrate heterogeneous factors including inside tokens, boundaries, labels, and related spans which could be contributing to nested entities recognition. To fuse these heterogeneous factors, we propose a novel triaffine mechanism including triaffine attention and scoring. Triaffine attention uses boundaries and labels as queries and uses inside tokens and related spans as keys and values for span representations. Triaffine scoring interacts with boundaries and span representations for classification. Experiments show that our proposed method outperforms previous span-based methods, achieves the state-of-the-art $F_1$ scores on nested NER datasets GENIA and KBP2017, and shows comparable results on ACE2004 and ACE2005.
TRAINING ON WEBLOG DESIGN AS AN ALTERNATIVE MEDIA FOR ONLINE LEARNING FOR TEACHERS OF THE TUNAS BANGSA SCHOOL OF KUPANG

The results of need assessment and situation analysis found that the teachers of the Tunas Bangsa Christian Community School Kupang had limited knowledge and skills in using Weblogs as an alternative media for online-based learning. Therefore, the purpose of community service activities was to increase the knowledge and skills of the teachers on how to create and use weblogs for online learning. The PKM method used training and also mentoring. The results of this activity indicated an increased understanding of the teachers of the school regarding the importance of using the WordPress media platform as an alternative learning media to support online learning. This was indicated by an increase in teacher knowledge based on the results of the comparison of participants' reflection scores before and after the training. In addition, teachers also experienced an increase in knowledge and skills in creating or designing WordPress as a teacher's personal website in order to publish various articles, assignments, materials, and others related to learning at school
Application Study of Area-Based and YOLOv4 Smoking Behavior Detection

Due to the cigarette targets are not obvious, quality of monitoring picture is not clear and other factors lead to slow detection and feature extraction difficulties for the actual monitoring process. This paper proposes a target detection scheme of cigarettes with using the fusion of Yolov4 target detection algorithm and feature extraction of the human body region algorithm based on HOG. This paper uses the Yolov4 target detection algorithm as the main framework, intending to shorten the time of cigarette detection and ensure the real-time monitoring process. To solve the problem of difficult feature extraction for cigarette targets detection and effectively reduce the CPU usage, it makes a preliminary check of the human area for the presence of smoke while adding the hog based human area extraction algorithm to the algorithm before the cigarette targets detection. Experiments show that the method can effectively solve the problem of cigarette targets detection in public places. Compared with the original faster region convolution algorithm, the detecting time of a single image slightly increases but still meets the requirements of practical engineering applications. On the other hand, the rate of detecting incorrectly is reduced by about 2% and the detection accuracy is significantly improved.
Face Inpainting Algorithm Combining Face Sketch and Gate Convolution

Video surveillance contains a lot of facial occlusion, which brings great difficulties to the detection of criminal investigation cases. Current face inpainting algorithms are difficult to meet the uniqueness requirements of face comparison, due to the lack of a priori information within the occluded area. Face sketch drawn by experienced simulated portrait artist according to low-quality video or description of the victim contains lots of useful information. There, this paper proposes a face inpainting algorithm combining face sketch and gate convolution. First, the face sketch, used as guided information, integrates into the occluded face image to complete the missing area. Then, a generative adversarial networks (GAN) with gate convolution is designed for model training, which effectively suppresses the interference of the occlusion area to the inpainting process. The experimental results show that the proposed algorithm obtain the better inpainting results and larger SSIM compared with the other algorithm. The proposed obtain better comprehensive performance.