Reviewerly/exHarmony huggingface dataset:
Retraction: Research on the Development Path of Russian Teaching Innovation in Newly-elevated Undergraduate Colleges in Contemporary Old Industrial Bases based on the Analysis of Big Data (J. Phys.: Conf. Ser. 1744 042003)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity.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 Contemporary Chinese Literature and Art Subject Knowledge System Based on Computer Technology (J. Phys.: Conf. Ser. 1648 032048)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity.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
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution

Lexical substitution is the task of generating meaningful substitutes for a word in a given textual context. Contextual word embedding models have achieved state-of-the-art results in the lexical substitution task by relying on contextual information extracted from the replaced word within the sentence. However, such models do not take into account structured knowledge that exists in external lexical databases. We introduce LexSubCon, an end-to-end lexical substitution framework based on contextual embedding models that can identify highly accurate substitute candidates. This is achieved by combining contextual information with knowledge from structured lexical resources. Our approach involves: (i) introducing a novel mix-up embedding strategy in the creation of the input embedding of the target word through linearly interpolating the pair of the target input embedding and the average embedding of its probable synonyms; (ii) considering the similarity of the sentence-definition embeddings of the target word and its proposed candidates; and, (iii) calculating the effect of each substitution in the semantics of the sentence through a fine-tuned sentence similarity model. Our experiments show that LexSubCon outperforms previous state-of-the-art methods on LS07 and CoInCo benchmark datasets that are widely used for lexical substitution tasks.
The return of (I)DeFiX

Decentralized Finance (DeFi) is a nascent set of financial services, using tokens, smart contracts, and blockchain technology as financial instruments. We investigate four possible drivers of DeFi returns: exposure to cryptocurrency market, the network effect, the investor's attention, and the valuation ratio. As DeFi tokens are distinct from classical cryptocurrencies, we design a new dedicated market index, denoted DeFiX. First, we show that DeFi tokens returns are driven by the investor's attention on technical terms such as "decentralized finance" or "DeFi", and are exposed to their own network variables and cryptocurrency market. We construct a valuation ratio for the DeFi market by dividing the Total Value Locked (TVL) by the Market Capitalization (MC). Our findings do not support the TVL/MC predictive power assumption. Overall, our empirical study shows that the impact of the cryptocurrency market on DeFi returns is stronger than any other considered driver and provides superior explanatory power.
Meningkatkan Kemampuan Bahasa Inggris Anak Melalui Media English Flash Card

English is an important thing in globalization era. In Indonesian, students learn English start form early age. Since first time go to school, student will find English in list of subject. But, it’s not make sure student can speak englisht fluently. in fact so many children in Indonesia not know how to speak English even basic vocabulary. The same things happened to one of the children at the Mercy Clement Orphanage who needed help to learn English not because he feeling have to, but learn because he love it. The process of learning was carried out in the PKL 1 mini project activities. Using the casework method throught the general intervention, start from Engagement Intake Contract, Assesment, Planning, Implementation, Evaluation, and Termination. Problem Solving in this process uses English Flash Card as a media to learn. The purpose of this program was make client have interest at English so he want to learn about English without coercion.
Perancangan Sistem Informasi Penjualan Warung Ayam Geprek Ramane Berbasis Website

With the rapid development of technology, business competition is increasingly racing in utilizing technology. Even micro business entities such as MSMEs have penetrated into computerized systems to process data. One of the MSMEs that will change the system from a manual system to a computerized system is Warung Ramane which is an MSME engaged in the food and beverage sector, but the MSMEs are still using a manual system, starting from the sales transaction process that is still written into the sales book which causes slow search. data, as well as the preparation of sales reports which are still done manually. This causes the preparation of sales reports that take a long time because of the large amount of data that must be processed and causes human errors, such as report writing errors, reports that are not neatly arranged, and errors in calculating the amount of turnover or profits obtained. From the above problems, the solution offered is the design of a website-based sales information system at Ayam Geprek Warung Ramane using the waterfall system development method, so that it can reduce human error problems and make it easier to search for data or archives and sales reports can be faster. With this information system, the owner can find out what food or beverage menus are the most sold/sold, and which ones are the least sold, and find out the level of sales for each certain period contained in the sales report, so that MSMEs can analyze and evaluate the menu. for sale
Modeling of the dynamics of computer memory filling

The issues of studying the problems of "random walk" using a computer modeling tool are considered. An algorithm for computer simulation of the dynamics of filling computer disk memory is presented.
Impact of Artificial Intelligence on Business and Society

The advent of highly advanced AI and robotics has the potential to completely alter the course of human history. Life, work, and leisure as we know it will be turned upside down. Some people believe this might usher in a golden era of wealth, leisure, and scientific discovery. There is growing social discontent as people worry about losing their employment, their privacy, and their independence. People, businesses, and whole countries will all feel the effects. Competitive advantage will accrue to those countries and companies that are at the forefront of change. However, they should also be cognizant of the need to address the worries of workers, customers, and residents.
The method of adaptive random search for training the neural network

The issues of neural network training are considered. The authors have proposed and tested on problems of pattern recognition a global optimization algorithm, which is one of the variants of adaptive random search.
A Video Extensometer for Measuring the Strains in Membrane Elements

The development of a video extensometer to measure the strain induced in a membrane element, like the human skin, is discussed. The emphasis of this paper is on the measurement of the strains due to the out-of-plane motion, which might occur during the deformation. A stereo camera setup is used to determine the 3D coordinates of markings on the specimen, which are used to compute the in-plane strains induced in the specimen. The proposed system is capable of tracking the movement of the markings, computing the strains on the specimen based on the measured coordinates of the markings, and generating a strain plot for easy visual interpretation. Results from the proposed system are verified by using images captured using SolidWorks software and comparing them with the results from ABAQUS. The error estimate based on this comparison was found to be around 0.15% for normal cases of loading. The possible sources of errors and ways of eliminating/reducing them are also discussed.
Sign Language Recognition System for Deaf People

A sign language recognition system is a way to communicate with deaf–mute people. A large number of deaf and mute people are present across the world, and sometimes, it becomes difficult for normal people to communicate with them since not everyone can understand sign language. To establish effective communication between normal and specially abled people, there is a need to encourage the use of a sign language recognition system. In this language, people communicate through various hand gestures with each other. The purpose of language is to bridge the gap between the deaf–mute communities and the speaking folks. This research proposes an optimal recognition system whose major objective is to accomplish the translations of static sign language alphabets, numbers and words of American Sign Language into human and machine understandable English language. In the proposed model, in the first phase, the preprocessing functionality of input gestures takes place. In the next phase, various region properties of preprocessed gestures will be computed by the system. In the final phase, based on the properties calculated before, the translation of sign to text is to be carried out and the same works in the opposite manner as well for speech to sign conversion.
Pelatihan Teknik Cetak Tinggi dengan Format Mini Sebagai Hiasan di Café-Café Kekinian Pada Komunitas Grafis Makmur Sukoharjo

The proliferation of contemporary cafes in the Surakarta area and its surroundings has added to the increasing wheel of the economy. It is recognized that during the Covid 19 pandemic these efforts were somewhat dimmed, but after or after the Covid 19 pandemic, these efforts continued to increase. Contemporary cafe businesses, especially those that open coffee shops, mostly require something artistic, it can be in the form of decoration, appearance in arranging the room to other things. Decorations or cool language, aesthetic elements are needed to make these cafes more attractive to visitors, especially young people. Young people or children today need places to gather or hang out as well as places for selvi or making stories. Seeing this very promising business opportunity makes the author quite intrigued by this problem. Business opportunities, especially those engaged in making aesthetic elements on the walls of contemporary cafes. Based on the experience gained by the author as a graphic artist, it encourages the author to find suitable partners to be trained in the creation of graphic art works in the form of aesthetic elements, especially those using high and mini-sized printing techniques. The author finally chose the Makmur Graphic Community. This community is a community engaged in graphic studios, exhibition venues and also a place for graphic art work. The purpose of this PKM is to train and assist the Makmoer Graphic Community so that they can produce high-tech graphic art products in a mini format, as an aesthetic element in contemporary cafes in the Surakarta area and its surroundings. The choice of the Makmur Graphic Community as a partner is because this community is inhabited by very young members, besides that this community is already very present in the graphic arts arena, especially in the Surakarta area and its surroundings. Many events have been held both online and offline, it's just that this community has shortcomings, especially in the products produced. For the methodology, Asset Based Community Development (ABCD). The impact is clear that the Makmur Graphic Community is now not only able to produce works of graphic art as a medium of expression, but can also produce decorative works or aesthetic elements. The second clearly produces a significant impact in the economy because the demand for these crafts from time to time has increased. And this is very supportive of the theme of this national seminar, namely the role of universities in community empowerment in supporting progress after the Covid 19 pandemic.
Multicarrier waveforms classification with deep neural networks

Automatic modulation classification (AMC) plays an important role in various applications such as cognitive radio and dynamic spectrum access. Many research works have been exploring deep learning (DL) based AMC, but they primarily focus on single-carrier signals. With the advent of various multicarrier waveforms, the authors propose to revisit DL-based AMC to consider the diversity and complexity of these novel transmission waveforms in this letter. Specifically, the authors develop a novel representation of multicarrier signals and use suitable networks for classification. In addition, to cope with non-target signals, support vector data description (SVDD) is applied with the activations of the networks’ hidden layer. Experimental results demonstrate the effectiveness of the proposed scheme.
ENHANCING EMPLOYEE PERFORMANCE THROUGH MONETARY INCENTIVE- A SYSTEMATIC REVIEW

The objective of the scoping review study was to examine the many studies on employee motivation and its effects on organizational performance.The review concentrated on how employee motivation affects organizational performance through its various facets, including rewards & recognition, management styles, workplace culture, and employee attributes.The analysis demonstrated how closely employee motivation and organizational performance are related.There are other aspects, nevertheless, that can affect a worker's capacity for effective performance.The particular goals are to ascertain how directors' compensation affects organizations' performance, to analyze how much salaries and wages affect organizations' performance, and to assess how employee benefit plans affect organizations' success.The list below outlines the rationale behind our topic choice, "Employee Performance through Monetary Incentive."It reflects the goals and inquiries we had for the paper before beginning it, as well as the ones we hope to resolve after finishing it.The study suggested that as a result, management should create, formulate, and implement compensation strategies objectively in order to improve the achievement of overall organizational goals with a view to getting the best supportive and contributing effects from organizational workers.This will undoubtedly allow for effective organizational performance.According to the study, management should develop, define, and apply pay plans objectively in order to promote the accomplishment of overall organizational goals with a view to obtaining the most supportive and contributing impacts from organizational workers.Finally, it's important to ensure that management and employees are aware of the goals set forth in the compensation schemes in order to avoid unanticipated and detrimental outcomes.Without a doubt, this will enable effective organizational performance.We began the essential sequential steps to discover the pertinent research articles once the question and motivation for our research papers were established.This study uses a bibliometric analytic technique to thoroughly assess and analyze the growing performance of employees who were given financial incentives.The conceptual organization of 227 publications (published up till 2021) was revealed by a co-word analysis to contain of primary subjects exploring the various components of financial incentives.Some of the several filters used on the databases included those for academic journals, English-language publications, and research papers.This study also reveals the co-authorship analysis of various authors that are linked to each other in our topic of research.This paper also shows the country-wise and year-wise publication along with growth trend.This will help to understand the number of studies that has been done till now in various countries throughout the years.Next, we have also gathered data related to number of citations and average citations based on years and countries.All this analysis helped us to write a systematic literature review (SLR).
Applied Six Sigma theory to reduce the drop-out rate among the students: systematic review

Quality education is a prerequisite and essence of human development. At present, India has improved a lot, but, in some cases, it still needs some improvement like retention and enrollment of students in education. The drop-out problem is a major in India. During this pandemic situation, drop-out problems become a significant issue. Researchers introduced a theory called the six sigma theory to reduce the rate of drop-out students. The goal of the six sigma theory is zero defects (zero drop-out), which means every student can learn or benefit from education and get motivated until the fulfilment of their needs. DMAIC is one of the pedagogical and instructional processes that helps reduce time and cost and retain students at school. The main aim of this framework developed by the researcher is. The researcher reviewed many research studies, and based on knowledge and critical Analysis, researcher developed this framework to satisfy students' needs and retain them in school to achieve their goals. Therefore, the researcher has applied this methodological approach to reduce the drop-out rate in India.
Analyzing the semiotic nature of GIFs: visual nominalization and visual telicity

Abstract GIFs, short audio-free loops of moving sequences, are active members of social semiotic resources in the era of Internet 2.0 that could generate humor, mediate power and signal identity. This paper proposes the perspective of visual nominalization and visual telicity as GIF properties that, in the environment of social media technologies, become capable of expressing polyphonic evaluation, transcontexualized polysemy, and dual deixis. Visual nominalization expresses the freeing of movement from integration into a time-dependent narrative and the abstraction resulting in deemphasized participants and emphasized processes. These traits are activated and realized by visual telicity, which is looping movement that can be conceptualized as an atelic visual container which packages and expresses both telic and atelic processes. This paper argues that visual nominalization and visual telicity are what establishes GIFs’ semiotic differences from still images and film videos, and facilitates their integration with written language in online and computer-mediated discourse.
Cloud Data Integrity Verification Algorithm Based on Data Mining and Accounting Informatization

Data integrity verification means that the data in the cloud are uploaded by the user. In addition to the user’s own update of the data, any external factors including the cloud service provider’s data are destroyed, tampered with, and lost, and the data are not updated in a timely manner. Any inconsistencies in the actual data required can be detected by the user. This article aims to study cloud data integrity verification algorithms based on data mining and accounting informatization. This article proposes data mining technology, accounting information to help business managers assist management work. The article uses Company H as an example to illustrate the accounting information system and proposes a new information management strategy based on it. The CBF algorithm and data integrity verification algorithm are used to study the cloud storage data integrity verification protocol, the cloud data integrity verification model is constructed, the data program flow design is analyzed, and the time-consuming operation of file data insertion is analyzed. The experiment in this paper uses 16 standard mathematical calculation formulas to strengthen the analysis. The results show that the study of cloud data integrity verification algorithms based on data mining and accounting information is beneficial to the integrity and protection of data. When the number of documents added increases from 0 to 400, the document agreement shows an upward trend, and the agreement in this paper basically fluctuates between 10 and 80.
An improved bound for the optimal paper Moebius band

In this paper we show that a smoothly and locally isometrically embedded Moebius band has aspect ratio at least $\sqrt 3-(1/26)$. (The actual bound, an algebraic number that arises in an optimization problem, is a tiny bit better.) Our bound improves significantly on the previous known lower bound of $\pi/2$.
Fostering Students’ Speaking Ability through English Club Activities

This research aimed to describe a Community Language Learning (CLL) program, the English Club (E-Club), activities and their impacts to enhance the students’ speaking ability. This study employed a descriptive qualitative research method. To gather the data, the researchers administered questionnaires to twenty-seven eleventh-grade students who participated in the E-Club at Public Vocational High School (SMKN) 1 Sooko, Malang, East Java, Indonesia. Then, the researchers interviewed five students and one teacher to expand on the information received. The data analysis operated were gathering data, displaying data, and drawing conclusions. The research’s data reliability was checked through data triangulation. The findings showed that E-Club activities were speech, storytelling, group discussion, and reading aloud. Following the implementation of these activities, the students’ speaking abilities including grammatical accuracy, vocabulary mastery, pronunciation ability, fluidity, and ability to organize concept in speaking had increased. Moreover, students experienced low anxiety and possessed higher English learning interest. These positive impacts were resulted by the role of teacher to prepare suitable teaching methods and to create positive learning environment. Henceforth, this research urges the importance of planning before implementing English program and adopting similar activities to escalate students’ speaking ability.