Reviewerly/exHarmony huggingface dataset:
Artificial Intelligence Evaluation for Mathematics Teaching in Colleges under the Guidance of Wireless Network

Comprehensively improving the quality of teaching is the highlight of current higher education. Also, it meets the basic needs of China’s current transformation into a country for strong education. Mathematics is one of the most important subjects in education these days, which is widely applied in research, social life, and understanding various science theories and laws. Hence, improving the quality of teaching mathematics in colleges becomes an important task in modern college teaching. In particular, the wireless integration of information has enriched and diversified the teaching methods of higher education. Vigorously promoting the application of wireless network technology in mathematics teaching is not only an effective way to solve the insufficient supply of educational resources but also a bold attempt to innovate the mathematics teaching mode in colleges and universities. Firstly, this work proposes an IACO-BP (improved ant colony optimization-based backpropagation) network to evaluate teaching quality for higher level mathematics in a wireless network environment. It improves the traditional ant colony optimization algorithm from three aspects, namely ant colony pheromone adaptive volatility coefficient, pheromone iterative elite selection strategy, and population iteration, adding a variation factor to construct IACO. Then, we use IACO to optimize initial weight and threshold to solve the issue of BP network’s falling into local optimum and improve network performance. Secondly, this work puts forward a series of countermeasures for the construction of mathematics teaching system in colleges. The correctness and superiority of the proposed strategy are verified by comparing the mathematics teaching quality in colleges before and after using the proposed strategies. Various aspects of mathematics teaching, such as teaching objectives, teaching content, and teaching process, are evaluated before and after using these strategies. These features are improved by a significant margin, up to 2.6%, after applying the proposed strategies.
Graph technology: a detailed study of trending techniques and technologies of graph analytics

Graphs are information structures to depict connections and communications between elements in complex frameworks. Graph analytics has been in use for a long time in the field of data analytics. Its main purpose is to create a database of interconnected entities and to model the relationships and processes in various information systems. In the field of data science and analytics, it is the graph analytics, an alternative method of analysis that uses the process of abstraction and this abstraction is called a graph model which helps the analyst to analyze the whole data or results in a summarized form that reduces the analytics complexities. Many organizations use the Graph model to leverage analysis in marketing or social networks. Graph storage is also an important fact along with graph analytics. The underlying structure of any database in which graph data is stored is often called graph storage as native and non-native graph storage. This chapter is going to explain graph analytics as well as graph storage in detail with the knowledge of various graph logical approaches and looks at existing graph storage and computational advances. This research provides analytical insights about the various graph analytical technologies used globally and shows a comparison between existing graph storage and computer technology. This research additionally evaluates the performance, qualities, and impediments of different graph databases and graph processing models.
A Composable Security Treatment of ECVRF and Batch Verifications

Verifiable random functions (VRF, Micali et al., FOCS’99) allow a key-pair holder to verifiably evaluate a pseudorandom function under that particular key pair. These primitives enable fair and verifiable pseudorandom lotteries, essential in proof-of-stake blockchains such as Algorand and Cardano, and are being used to secure billions of dollars of capital. As a result, there is an ongoing IRTF effort to standardize VRFs, with a proposed ECVRF based on elliptic-curve cryptography appearing as the most promising candidate. In this paper, towards understanding the general security of VRFs and in particular the ECVRF construction, we provide an ideal functionality in the Universal Composability (UC) framework (Canetti, FOCS’01) that captures VRF security, and show that ECVRF UC-realizes it. Additionally, we study batch verification in the context of VRFs. We provide a UC-functionality capturing a VRF with batch-verification capability, and propose modifications to ECVRF that allow for this feature. We again prove that our proposal UC-realizes the desired functionality. Finally, we provide a performance analysis showing that verification can yield a factor-two speedup for batches with 1024 proofs, at the cost of increasing the proof size from 80 to 128 bytes.
Retraction: Research on the Construction and Service Mode of Digital Library Based On Cloud Computing (J. Phys.: Conf. Ser. 1345 052009)

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: 23 September 2022
Retraction: Research on the Matching Degree Between the Training Direction of Students Majoring in Film and Television Animation and Social Industry in Higher Vocational Colleges Based on Computer Big Data Research (J. Phys.: Conf. Ser. 1574 012037)

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: 23 September 2022
Retraction: Design of Travel Itinerary Planning System Based on Artificial Intelligence (J. Phys.: Conf. Ser. 1533 032078)

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: 23 September 2022
Retraction: Application on Computer Software Technology under the Background of Big Data (J. Phys.: Conf. Ser. 1237 022053)

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: 23 September 2022
Retraction: Research on Operating Modes and Strategies for Creative Enterprises in Jilin Province to Resolve Survival Crisis in the Big Data Age (IOP Conf. Ser.: Earth Environ. Sci. 619 012072)

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: 23 September 2022
Retraction: Research on the Database of Competitive Sports Talents in Colleges and Universities in China under the Background of “Internet+” (J. Phys.: Conf. Ser. 1237 022097)

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: 23 September 2022
Retraction: The realization of network security technology based on cloud computing environment (J. Phys.: Conf. Ser. 1345 052022)

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: 23 September 2022
Retraction: Evaluation Model of College English Teaching Quality Based on Big Data Analysis (IOP Conf. Ser.: Mater. Sci. Eng. 750 012077)

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: 23 September 2022
Retraction: Research on Big Data Analysis Platform of Power Grid Enterprise Accounting Based on Cloud Computing (IOP Conf. Ser.: Mater. Sci. Eng. 677 042110)

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: 23 September 2022
Demand for quality pesticides to drive phosphorus trichloride market growth

CDIO (Conceiving-Designing-Implementing-Operating), crowdsourcing and gamification are gaining more popularity in IT education. However, factors that influence learners' attitude toward this method are yet to be discovered. Therefore, this study aims to develop and test a conceptual model of implementing CDIO-based curriculum in IT education. For this purpose, CDIO dimensions were conceptualized and developed into questionnaire items. Then 141 students who experienced the CDIO method in information security course and lab, were sampled through action-research approach to investigate their perceptions and experiences about the learning stages, dimensions and values of this teaching method. Data gathered were analyzed by multiple regression algorithm using Partial Least Squares-Structural Equation Modeling (PLS-SEM) statistical approach. The results reveal that the ‘mastery of the concept’, ‘implement and operate’, ‘perceived values’, ‘demonstration and resources’, and ‘admin’ could significantly (in direct and indirect paths) affect learner's intention to accept the CDIO method and adopt it in IT classes. Finally, implications to theory and practice were indicated, and future research directions were suggested.
Nudgit - Reducing Online News Consumption by Digital Nudges

Users are increasingly feeling the desire to break free from digital restraints, whether it is the never-ending feeds of social media, the need to always be online, or the flood of breaking real-time news. Without assistance, achieving this goal appears practically unattainable. We developed a prototype application to let users self-regulate their online news consumption to better understand and support them. We investigated whether the prototypical nudges had an effect on how much time the participants (N=5) spent consuming digital news, how frequently they opened the prototype application and their awareness of their news consumption behavior. We demonstrated the potential of employing opening-counter, interceptor-view, and, content filter to help users reduce and become more conscious of their news consumption using the prototype application for two weeks. These insights may aid in the development of future use cases.
Retraction: Research on Network Information Security and Privacy Protection in the Age of Big Data (J. Phys.: Conf. Ser. 1237 022092)

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: 23 September 2022
Retraction: Research on the Construction of Early Warning Index System of Network Public Opinion Emergency Based on Computer Simulation (IOP Conf. Ser.: Earth Environ. Sci. 310 052044)

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: 23 September 2022
Confidentiality Preserving Instant Runoff Voting System

Voting is a mandatory application in any democratic country for decision making. The E-voting gives the promise or confidence of giving or delivering a convenient, straight forward and economical results. E-Voting system used many cryptographic methods to reduce the security problems in the election process. Voting is one of the essential activity which is used in various applications from student’s secretory elections, reality television shows, to national elections. With the goal of better efficiency, scalability, speed and lower cost, voting is currently changed from paper based to the use of electronic medium. This is targeted to meet better security, such that voting result gives true opinion of the voters. As of late in cryptography a few changes enable us to run troublesome calculations inside the encoded area. In democratic countries like India, Instant Runoff voting method is used in election of the President of India. In IRV, voter can vote by ranking the candidates in order of preference. To protect voter’s privacy, encryption is mostly used to ensure security in open network such as the internet. The cryptosystem based on Elliptic curve cryptography (ECC) is becoming the latest technology of public key cryptography. In proposed E-voting system, voter’s confidentiality is maintained by ECC, blind signature is used for ballot anonymity and authentication. This proposed scheme will effectively ensure confidentiality, anonymity and integrity of ballot in instant runoff voting method.
Retraction: Security Analysis of Computer Information Processing Technology under the Background of Big Data Era (J. Phys.: Conf. Ser. 1237 022042)

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: 23 September 2022
Retraction: Design Method of English Education Informationization Platform Based on 5G (IOP Conf. Ser.: Mater. Sci. Eng. 750 012052)

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: 23 September 2022
Retraction: Method of Constructing the Innovation Service Platform of Colleges and Universities based on Artificial Intelligence (IOP Conf. Ser.: Mater. Sci. Eng. 750 012087)

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: 23 September 2022