Reviewerly/exHarmony huggingface dataset:
English operation in public space: Linguistic landscape in culinary business of Surakarta, Indonesia

Since English is the world's lingua franca, it is a major attraction in various fields, such as writing culinary business signage. This study examines the frequency of language use, the monolingual and bilingual processes through text writing strategies, and information-symbolic function that English develops in culinary business texts. The data is collected using recording techniques, including photography on 396 culinary business nameplate data from food stalls, restaurants, cafes, and bistros located at protocol road in Surakarta, Indonesia. The Linguistic Landscape, bilingual-multilingual writing and Writing System Mimicry (WSM) is used to analyze the collected data (Landry and Bourhis 1997; Reh, 2014; Sutherland 2015). The results showed that Indonesian and English compete in dominating the appearance of monolingual and bilingual texts. In general, text writers use manipulating, imitating, fragmenting, complementing, and overlapping strategies to attract consumers. Therefore, English influences international perceptions, exclusivity, modern, leisure and success. We argue that with its capabilities, in the future, English will dominate texts in the public space and threaten national and local languages.
Single Image Reection Removal via Deep Feature Contrast

Removing undesired re ection from a single image is in demand for computational photography. Re ection removal methods are gradually effective because of the fast development of deep neural networks. However, current results of re ection removal methods usually leave salient re ection residues due to the challenge of recognizing diverse re ection patterns. In this paper, we present a one-stage re ection removal framework with an end-to-end manner that considers both low-level information correlation and efficient feature separation. Our approach employs the criss-cross attention mechanism to extract low-level features and to efficiently enhance contextual correlation. To thoroughly remove re ection residues in the background image, we punish the similar texture feature by contrasting the parallel feature separa- tion networks, and thus unrelated textures in the background image could be progressively separated during model training. Experiments on both real-world and synthetic datasets manifest our approach can reach the state-of-the-art effect quantitatively and qualitatively.
E-COMMERCE KERAJINAN TANGAN DESA BULUH KASAB:

Buluh Kasab Village is one of the villages in Sungai Rengas Village, Kec. Maro Sebo Ulu, Kab. Batang Hari, Jambi. This village produces handicrafts in the form of caping hats, screwpine leaves mats, beaded bags, etc. Made by Youth Organization members, Buluh Kasab Village. In this case Buluh Kasab Village is used as a research location because so far the sales system, data collection, and sales reports are still using the old system by using the agenda book as a tool to collect goods and produce sales reports, a relatively narrow on market share. making the process of selling craft products less smooth. The purpose of this study is to build an E-Commerce system to facilitate  Youth Organization to process goods data, expand market share to produce reports on sales of handicraft products. Input in this system is in the form of customer data, item data, shipping data, transaction data and item category data. In this system there is a process of entering data, processing transaction data, making reports on stock data, reports on sales results. Output of the E-Commerce system are sales reports, transaction data reports and stock data data reports. E-Commerce system is expected to be able to help  Youth Organization in Buluh Kasab Village in improving the sales process and data collection in a more detailed and detailed way and can expand market share.
ANXIETY DISORDER ON THE MAIN CHARACTER OF A. J. FINN NOVEL THE WOMAN IN THE WINDOW

Principally, this research attempts to analyze the anxiety disorder on the main character of novel The Woman In The Window by A. J. Finn. The objective of this study to find out 1) To investigate the causes of anxiety disorder through to the main character in the novel based on the psychoanalytic approach by Sigmund Freud. 2) To explain how the treatments done by the main character to reduce her anxiety disorder in the novel and 3) To explain the reasons for the treatments done by the main character in the novel. The writer used qualitative design method in analyzing the data that focused on the textual data. The instruments for collecting data are reading technique, and writing technique. This research analyzes by relating the data with Freud’s Psychoanalysis theory. The results of the research show that 1) The causes anxiety disorder to the main character  because have an accident in the past that make the sufferer become stress, and post-traumatic stress disorder. 2) There are two treatments done by the main character to reduce her anxiety disorder that is medication and therapy. 3) The reasons for the treatments done by main character because with healing through therapy and medication will be able to reduce the trauma experienced by Anna Fox.
Concurrently Composable Non-interactive Secure Computation

We consider the feasibility of non-interactive secure two-party computation (NISC) in the plain model satisfying the notion of superpolynomial-time simulation (SPS). While stand-alone secure SPS-NISC protocols are known from standard assumptions (Badrinarayanan et al., Asiacrypt 2017), it has remained an open problem to construct a concurrently composable SPS-NISC. Prior to our work, the best protocols require 5 rounds (Garg et al., Eurocrypt 2017), or 3 simultaneous-message rounds (Badrinarayanan et al., TCC 2017). In this work, we demonstrate the first concurrently composable SPS-NISC. Our construction assumes the existence of: and satisfies the notion of “angel-based” UC security (i.e., UC with a superpolynomial-time helper) with perfect correctness. We additionally demonstrate that both of the primitives we use (albeit only with polynomial security) are necessary for such concurrently composable SPS-NISC with perfect correctness. As such, our work identifies essentially necessary and sufficient primitives for concurrently composable SPS-NISC with perfect correctness in the plain model.
APPROACHING ARABIC LEARNING THROUGH THE USE OF THE GOOGLE WEBSITE

Teachers must maximize their use of ICT-based learning media in the face of the covid-19 pandemic. As a result, various efforts are required in the learning process, including the use of ICT-based learning media to assist teachers. The critical nature of developing teachers' competence and skills in utilizing and optimizing ICT-based learning media necessitates the need for teacher training in creating and using ICT-based learning media. From September 11 to September 17, 2021, training on the creation and use of Google sites as learning media will be held. This training aims to increase Arabic language teachers' competence through the use of Google Sites as a learning medium. This training will be conducted in two stages, the first of which will involve the delivery of material on the creation and use of Google sites as learning media, and the second of which will involve direct practice in the creation and use of Google sites as learning media. Lectures, questions and answers, and experiments are used in this training. The enthusiasm of the participants fueled this training, which drew 1645 Arabic MGMP teachers from across Indonesia. This training enhances participants' knowledge and abilities, as well as their ability to create and use Google sites as instructional media. The results of the questionnaire distributed to teachers following this activity indicated that it was extremely beneficial and that they hoped similar activities would be held again the following year.
Requirements Reuse for Exploring Stakeholder Needs

This tutorial presents and compares two different approaches to requirements reuse. The first approach deals with requirements reuse and reusability using feature modelling. The second approach deals with requirements reuse and reusability in the context of case-based reasoning. Both approaches have different key properties and trade-offs between the costs of making software artefacts reusable and the benefits of reusing them. To aid large-scale development, we have proposed a Feature-Similarity Model, which draws on both approaches to facilitate discovering requirements relationships using similarity metrics. A FeatureSimilarity Model also helps with exploring stakeholder needs, since new requirements can be introduced first into a case base and then gradually included into a product line representation.
ANALISIS KECURANGAN TERHADAP PRAKTIK LAPORAN KEUANGAN PT ASURANSI JIWASRAYA (PERSERO) DI BEI TAHUN 2017-2019

This research discusses fraud against the financial reporting practices of PT Asuransi Jiwasraya (Persero) 2017-2019, where the information presented in the financial statements must not have the interest of one party because it will harm the other party. This study aims to determine the occurrence of fraud in the practice of financial reporting at PT Asuransi Jiwasraya (Persero) in 2017-2019. This study uses secondary data. The population in this study is the company PT Asuransi Jiwasraya (Persero) which is listed on the Indonesia Stock Exchange in 2017-2019. This research uses descriptive quantitative method with descriptive statistical analysis tools and literature study collection methods. The results show that the income at PT Asuransi Jiwasraya (Persero) in 2017-2019 has increased quite significantly while the expenses for PT Asuransi Jiwasraya have also increased but overall it is very significant. This shows that the income at PT Asuransi Jiwasraya (Persero) has increased significantly when their expenses are high. In the case of this financial statement, the company should as much as possible reduce the expenses on the company so that they are more focused on company revenue.
The power relationships configuration in purchasing processes at public universities: contribution to the studies of documents and information materiality

This paper analyzes power relationships configuring the disciplinary and regulatory mechanisms of purchasing processes at a federal public university, as a contribution to the studies of documentary materiality, in the informational process. Data collection included process mapping, semistructured interviews with civil servants, and gathering of legal and institutional documents standardizing and guiding the workflow. The purchasing process was analyzed and interpreted from two perspectives: Focault’s disciplinary view; and documentary view, with an emphasis on Frohmann ideas about the social and material character of information. The analysis of disciplinary power revealed how social practices, institutionalized by documents, produce a set of promising concepts for thinking philosophically about information. Attention to practices and documents reveals how specific documents, in certain moments and places, and in specific areas of the institutional, social and cultural landscape, become informative, materialized and conform as disciplinary mechanisms.
아크릴계 증점제 사용량이 저분체 고유동 콘크리트의 물리적 특성에 미치는 영향에 관한 실험적 연구

For the development of high-fluidity concrete using low-binder, The effect of the use of the developed acrylic viscosity agent on the physical properties of concrete evaluated. The amount acrylic viscosity agent used was 1.5%, 1.7%, and 2.0% based on the binder amount of 400kg/m3, and slump flow test, slump flow 500mm arrival time measurement, air volume measurement, and U-Box passing test were conducted to determine the effect of the physical properties of concrete. it was judged that 1.5% of the acrylic viscosity agent used in high-fluidity concrete using low-binder was most suitable.
The Effects of Cyber Regulations and Security Policies on Organizational Outcomes: A Knowledge Management Perspective

Knowledge management (KM) has emerged as an operational and strategic organizational tool. However, the influence of recent cyber regulations (CR) and security policies (SP) on the usefulness of KM, are absent from the literature. This study focuses on the intersection of knowledge management and knowledge fortification. The study employs survey data from a sample of firms and utilizes partial least squares (PLS) with extensive post hoc analyses, to examine the influence of CR and SP on KM core processes (acquisition, sharing and utilization) and subsequently on the operational effectiveness and strategic performance of firms. Contrary to prior research, we found that external knowledge sharing negatively affected performance. These findings support our assertion that KM processes are tied to contingencies that change the relationship between KM outcomes.
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study.

Recent progress on intelligent fault diagnosis (IFD) has greatly depended on deep representation learning and plenty of labeled data. However, machines often operate with various working conditions or the target task has different distributions with the collected data used for training (the domain shift problem). Besides, the newly collected test data in the target domain are usually unlabeled, leading to unsupervised deep transfer learning based (UDTL-based) IFD problem. Although it has achieved huge development, a standard and open source code framework as well as a comparative study for UDTL-based IFD are not yet established. In this paper, we construct a new taxonomy and perform a comprehensive review of UDTL-based IFD according to different tasks. Comparative analysis of some typical methods and datasets reveals some open and essential issues in UDTL-based IFD which are rarely studied, including transferability of features, influence of backbones, negative transfer, physical priors, etc. To emphasize the importance and reproducibility of UDTL-based IFD, the whole test framework will be released to the research community to facilitate future research. In summary, the released framework and comparative study can serve as an extended interface and basic results to carry out new studies on UDTL-based IFD. The code framework is available at \url{https://github.com/ZhaoZhibin/UDTL}.
Tasks for the national Olympiad in the Russian language for school students: content selection and skills requirements

The present paper aims to describe approaches to the content selection of the tasks used in the regional and final stages of the Olympiad in the Russian language. The issue regarding the correlation between the existing documents that prescribe the content of education on the one hand and the requirements for holding the regional and final stages of the national Olympiad in Russian for school students on the other is treated as relevant in this study. The performed analysis of the methodological guidelines for holding the school and municipal stages of the national Olympiad for school students in combination with the examination of the codifiers employed to develop testing and assessment materials for learners’ final assessment allowed the authors to identify the didactic units which are the elements to be tested. Moreover, the paper provides models for several tasks. These models permit achieving the objective of assessing learners’ knowledge and building their motivation for cognitive activity. It is concluded that the content of the tasks and the tested skills of school students participating in the national Olympiad in the Russian language completely satisfy the requirements specified in the documents which regulate the development of the testing and assessment materials for the state final certification in this subject. These tasks can be used by teachers not only as a resource to prepare students for the Olympiad, but also to motivate them to study Russian.
Contemporary parallels of education and enlightenment in Bulgaria

This scientific report attempts to make a historical parallel of education and enlightenment in Bulgaria, looking for suitable examples with other nations and countries. The interpretations are related to the enlightenment pursuit in Bulgaria and its modern dimensions. The author makes logical connections between events and personalities, trying to make generalizations and conclusions in this special mission of cultural identity, education and science.
SECURED AND RELIABLE DATA COMMUNICATION IN INTERNET OF THINGS

Increased technologies prompts higher usage of the IoT devices which will in general perform information detecting and communication. Here got communication turns into the more prominent concern which would influence the legitimate and effective information communication. This is accomplished in the current exploration work by presenting the strategy specifically Elliptic Curve Cryptography (ECC) technique base validation where confirmation of entomb associated devices will be performed prior to permitting the information transmission. In the current work, there could be no legitimate technique followed for the proper dynamic with regards to the vindictive node presence. In the current work, it is referenced that the confirmation is acted in the firewall. Anyway verification system used in the current work is more conventional and it can't uphold high characterized applications. This is settled in the proposed work by presenting the strategy specifically Modified ECC based Authentication Framework (MECC). In this exploration work, point duplication based ECC strategy is used for the got information communication. New key age strategy is presented for the expanded security level by utilizing which encryption will be performed. To keep away from the malignant exercises verification is performed at the firewall. This verification is performed dependent on traffic stream. In firewall SVM calculation is executed for the appropriate dynamic with regards to the vindictive node presence. The general investigation of the exploration work is done in matlab climate from which it is demonstrated that the proposed techniques can will in general give better and got communication over the current devices
The System Direction of the Practice of Aesthetic Education in Chinese Textbooks of the Republic of China

The compilation concept of teaching materials is inseparable from the macro historical background of the times. On the surface, the concept of aesthetic education belongs to the concept of education, but in essence it is far beyond the scope of education. It is the product of the modern bourgeoisie in the pursuit of ideal personality. At the end of the Qing Dynasty and the beginning of the Republic of China, with the cultivation and return of a large number of talents studying abroad, western modern aesthetics, aesthetic education and philosophy began to be introduced into China. In addition, Chinese culture has its own aesthetic education traditions such as “poetry education” and “music education”. Under this background, people of insight found the unique value of aesthetic education and affirmed the emotion. The significance and function of interest and beauty in shaping people’s value and promoting the transformation of people’s thinking. The open era and social environment at the beginning of the founding of the Republic of China provided an extremely broad platform and space for the implementation of reform in the field of education, promoted the reform of educational thought and the purpose of compiling teaching materials, and injected a new resource of aesthetic education into the compilation of Chinese teaching materials in the Republic of China.
Real-Time Gender Recognition with a Deep Neural Network

Nowadays the existence of artificial intelligence (AI) and convolutional networks had led to significant progress in machine vision. Machine vision can automatically perform many tasks that are difficult and arduous and have a high error for humans. One of these difficult tasks is the determination of gender that nowadays has many applications. Using AI and machine vision to determine gender can speed up this process. Deep neural networks have had significant progress in comparison to other common machine learning methods but the number of parameters and calculations is one of the major issues of these networks. In this paper, we have presented a real-time deep neural network model that performs gender recognition faster and with fewer calculations by reducing the model parameters and calculations. The proposed model is a rather light model and a mixture of multifold filters that have been trained and tested on three datasets Wikipedia, Audience, Celeba
ANALISIS PENERAPAN SISTEM INFORMASI AKUNTANSI PERSEDIAAN BARANG DAGANG PADA PT. ANUANG TRADING MAKASSAR

The purpose of the research aimed to find out the implementation of the accountancy system of merchandise inventory at PT. Anuang Trading Makassar. The research method was descriptive qualitative, where the researcher analyzes the data of the implementation of the accountancy system on merchandise inventory at PT. Anuang Trading Makassar. Data collected through the observation, the interview, and the documentation. The technique of data analysis used in this research was by analyzing the gathered data to make conclusions. The result revealed that PT. Anuang Trading Makassar has fully implemented the accountancy system of merchandise inventory. So, it can be concluded that : 1) from the ordering procedure system to receiving the goods to expenditure procedure system had implemented the prosedure and system by following the company rules and had implemented the separable function between authority and responsibility also; and 2) the human resources at PT. Anuang Trading Makassar is professionals, and the supporting resources computerized.
Multi-label Classification Algorithm Based on Label-Specific Features and Instance Correlations

The method for learning label-specific features reduces dimensions by selecting specific features for each label with the consideration of pairwise label correlations and it solves the problem of dimensions of multi-label classification effectively.However,instance correlations are not taken into account in the method.To solve this problem,a multi-label classification algorithm based on label-specific features and instance correlations is proposed.Both label correlations and the correlation of instance features are considered.The similarity map is constructed to learn the similarity of instance feature space.Experimental results on 8 datasets show that the proposed algorithm effectively extracts label-specific features with better classification performance.