bluuebunny/crossref_metadata_2025 huggingface dataset:
Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene via Deep Learning
Authors: Cazorla Romain , Poinel Line , Papadakis Panagiotis , Buche Cédric
Published: August 2021

Point cloud acquisition techniques are an essential tool for the digitization of industrial plants, yet the bulk of a designer's work remains manual. A first step to automatize drawing generation is to extract the semantics of the point cloud. Towards this goal, we investigate the use of deep learning to semantically segment oil and gas industrial scenes. We focus on domain characteristics such as high variation of object size, increased concavity and lack of annotated data, which hampers the use of conventional approaches. To address these issues, we advocate the use of synthetic data, adaptive downsampling and context sharing.
Automated Facilitation Support in Online Forum
Authors: Gu Wen
Published: August 2021

Online forum that gathers participants together to solve the common issues that they are facing is considered as a promising application of utilizing collective intelligence to solve complicated real-world problems.

To facilitate the discussions in online forum to proceed smoothly and to build consensus efficiently, human facilitators are introduced into the system.

With the increasing sophistication of online forum, human facilitators related problems such as human bias and restricted scale become critical.

Therefore, it is critical to explore approaches to support human facilitators in conducting facilitation.

However, most of the existing facilitation support techniques only support predefined facilitation tasks that could be defined by static rules.

In this research, we aim to explore potential solutions for supporting the human facilitators to conduct facilitation in online forum.

As the first step, we have proposed a case-based reasoning (CBR)-based framework that targets support facilitation by utilizing past successful facilitation experience.

Currently, our work is focusing on the specific facilitation task of detecting influential user in the online forum.

In the future work, we are planning to propose approaches of solving other specific facilitation tasks such as measuring the level of agreement and encouraging participants to reach a consensus.
Safety Analysis of Deep Neural Networks
Authors: Guidotti Dario
Published: August 2021

Deep Neural Networks (DNNs) are popular machine learning models which have found successful application in many different domains across computer science.

Nevertheless, providing formal guarantees on the behaviour of neural networks is hard and therefore their reliability in safety-critical domains is still a concern.

Verification and repair emerged as promising solutions to address this issue. In the following, I will present some of my recent efforts in this area.
Deep Reinforcement Learning with Hierarchical Structures
Authors: Li Siyuan
Published: August 2021

Hierarchical reinforcement learning (HRL), which enables control at multiple time scales, is a promising paradigm to solve challenging and long-horizon tasks. In this paper, we briefly introduce our work in bottom-up and top-down HRL and outline the directions for future work.
AI for Planning Public Health Interventions
Authors: Mate Aditya
Published: August 2021

Several scenarios involving public health interventions have a unifying underlying theme, that deals with the challenge of optimizing the limited intervention resources available. My dissertation casts this as a Restless Multi-Armed Bandit (RMAB) planning problem, identifying and addressing several new, fundamental questions in RMABs.
Hardware-friendly Deep Learning by Network Quantization and Binarization
Authors: Qin Haotong
Published: August 2021

Quantization is emerging as an efficient approach to promote hardware-friendly deep learning and run deep neural networks on resource-limited hardware. However, it still causes a significant decrease to the network in accuracy. We summarize challenges of quantization into two categories: Quantization for Diverse Architectures and Quantization on Complex Scenes. Our studies focus mainly on applying quantization on various architectures and scenes and pushing the limit of quantization to extremely compress and accelerate networks. The comprehensive research on quantization will achieve more powerful, more efficient, and more flexible hardware-friendly deep learning, and make it better suited to more real-world applications.
Modeling Institutions in Socio-Ecosystems
Authors: Raharivelo Sitraka Oliva , Müller Jean-Pierre
Published: August 2021

In socio-ecosystems, human activities are structured in time and space by interactions between different regulatory systems with different collective goals. These regulatory systems are modeled by institutions and organizations, and the regulatory mechanisms by norms applied to agents in Multi-Agent Systems (MAS). However, little is said about sharing resources, space and time. In particular, temporal and spatial expressivity is often limited in MAS for institutions and norms. This research proposes an institutional MAS model capable of representing multiple institutions and norms in the socio-ecosystem, in order to account for the multiplicity of interactions through agents, resources, space and time. We propose an extension of Descriptive Logic for the description of institutions and norms, and use Allen's algebra and the RCC8 to represent time and space. The resulting model allows us to know the norms applicable to an agent located socially, spatially and temporally.
Altruism Design in Networked Public Goods Games
Authors: Yu Sixie , Kempe David , Vorobeychik Yevgeniy
Published: August 2021

Many collective decision-making settings feature a strategic tension

between agents acting out of individual self-interest and promoting a common good.

These include wearing face masks during a pandemic, voting, and vaccination.

Networked public goods games

capture this tension, with networks encoding strategic interdependence among agents.

Conventional models of public goods games posit solely individual self-interest as a motivation, even though altruistic

motivations have long been known to play a significant role in agents' decisions.

We introduce a novel extension of public goods games to account for

altruistic motivations by adding a term in the utility function that

incorporates the perceived benefits an agent obtains from the welfare

of others, mediated by an altruism graph.

Most importantly, we view altruism not as immutable, but rather as a lever for promoting the common good.

Our central algorithmic question then revolves around the

computational complexity of modifying the altruism network to achieve desired public goods game investment profiles.

We first show that the problem can be solved using linear programming

when a principal can fractionally modify the altruism network.

While the problem becomes in general intractable if the principal's

actions are all-or-nothing, we exhibit several tractable special cases.
Adaptive Experimental Design for Optimizing Combinatorial Structures
Authors: Doppa Janardhan Rao
Published: August 2021

Scientists and engineers in diverse domains need to perform expensive experiments to optimize combinatorial spaces, where each candidate input is a discrete structure (e.g., sequence, tree, graph) or a hybrid structure (mixture of discrete and continuous design variables). For example, in hardware design optimization over locations of processing cores and communication links for data transfer, design evaluation involves performing a computationally-expensive simulation. These experiments are often performed in a heuristic manner by humans and without any formal reasoning. In this paper, we first describe the key challenges in solving these problems in the framework of Bayesian optimization (BO) and our progress over the last five years in addressing these challenges. We also discuss exciting sustainability applications in domains such as electronic design automation, nanoporous materials science, biological sequence design, and electric transportation systems.
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks
Authors: Zhang Tianhao , Ye Qiwei , Bian Jiang , Xie Guangming , Liu Tie-Yan
Published: August 2021

Value function decomposition (VFD) methods under the popular paradigm of centralized training and decentralized execution (CTDE) have promoted multi-agent reinforcement learning progress. However, existing VFD methods proceed from a group's value function decomposition to only solve cooperative tasks. With the individual value function decomposition, we propose MFVFD, a novel multi-agent Q-learning approach for solving cooperative and non-cooperative tasks based on mean-field theory. Our analysis on the Hawk-Dove and Nonmonotonic Cooperation matrix games evaluate MFVFD's convergent solution. Empirical studies on the challenging mixed cooperative-competitive tasks where hundreds of agents coexist demonstrate that MFVFD significantly outperforms existing baselines.
Safe Weakly Supervised Learning
Authors: Li Yu-Feng
Published: August 2021

Weakly supervised learning (WSL) refers to learning from a large amount of weak supervision data. This includes i) incomplete supervision (e.g., semi-supervised learning); ii) inexact supervision (e.g., multi-instance learning) and iii) inaccurate supervision (e.g., label noise learning). Unlike supervised learning which typically achieves performance improvement with more labeled data, WSL may sometimes even degenerate performance with more weak supervision data. It is thus desired to study safe WSL, which could robustly improve performance with weak supervision data. In this article, we share our understanding of the problem from in-distribution data to out-of-distribution data, and discuss possible ways to alleviate it, from the aspects of worst-case analysis, ensemble-learning, and bi-level optimization. We also share some open problems, to inspire future researches.
InfOCF-Web: An Online Tool for Nonmonotonic Reasoning with Conditionals and Ranking Functions
Authors: Kutsch Steven , Beierle Christoph
Published: August 2021

InfOCF-Web provides implementations of system P and system Z inference, and of inference relations based on c-representation with respect to various inference modes and different classes of minimal models. It has an easy-to-use online interface for computing ranking models of a conditional knowledge R, and for answering queries and comparing inference results of nonmonotonic inference relations induced by R.
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
Authors: Niu Wei , Kong Zhenglun , Yuan Geng , Jiang Weiwen , Guan Jiexiong , Ding Caiwen , Zhao Pu , Liu Sijia , Ren Bin , Wang Yanzhi
Published: August 2021

Transformer-based deep learning models have increasingly demonstrated high accuracy on many natural language processing (NLP) tasks. In this paper, we propose a compression-compilation co-design framework that can guarantee the identified model meets both resource and real-time specifications of mobile devices. Our framework applies a compiler-aware neural architecture optimization method (CANAO), which can generate the optimal compressed model that balances both accuracy and latency. We are able to achieve up to 7.8x speedup compared with TensorFlow-Lite with only minor accuracy loss. We present two types of BERT applications on mobile devices: Question Answering (QA) and Text Generation. Both can be executed in real-time with latency as low as 45ms. Videos for demonstrating the framework can be found on https://www.youtube.com/watch?v=_WIRvK_2PZI
Graph-Augmented Code Summarization in Computational Notebooks
Authors: Wang April , Wang Dakuo , Liu Xuye , Wu Lingfei
Published: August 2021

Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code and neglect the creation of the documentation in a notebook. In this work, we present a human-centered automation system, Themisto, that can support users to easily create documentation via three approaches: 1) We have developed and reported a GNN-augmented code documentation generation algorithm in a previous paper, which can generate documentation for a given source code; 2) Themisto also implements a query-based approach to retrieve the online API documentation as the summary for certain types of source code; 3) Lastly, Themistoalso enables a user prompt approach to motivate users to write documentation for some use cases that automation does not work well.
Communication-efficient and Scalable Decentralized Federated Edge Learning
Authors: Yapp Austine Zong Han , Koh Hong Soo Nicholas , Lai Yan Ting , Kang Jiawen , Li Xuandi , Ng Jer Shyuan , Jiang Hongchao , Lim Wei Yang Bryan , Xiong Zehui , Niyato Dusit
Published: August 2021

Federated Edge Learning (FEL) is a distributed Machine Learning (ML) framework for collaborative training on edge devices. FEL improves data privacy over traditional centralized ML model training by keeping data on the devices and only sending local model updates to a central coordinator for aggregation. However, challenges still remain in existing FEL architectures where there is high communication overhead between edge devices and the coordinator. In this paper, we present a working prototype of blockchain-empowered and communication-efficient FEL framework, which enhances the security and scalability towards large-scale implementation of FEL.
Addressing the Long-term Impact of ML Decisions via Policy Regret
Authors: Lindner David , Heidari Hoda , Krause Andreas
Published: August 2021

Machine Learning (ML) increasingly informs the allocation of opportunities to individuals and communities in areas such as lending, education, employment, and beyond. Such decisions often impact their subjects' future characteristics and capabilities in an a priori unknown fashion. The decision-maker, therefore, faces exploration-exploitation dilemmas akin to those in multi-armed bandits.

Following prior work, we model communities as arms. To capture the long-term effects of ML-based allocation decisions, we study a setting in which the reward from each arm evolves every time the decision-maker pulls that arm. We focus on reward functions that are initially increasing in the number of pulls but may become (and remain) decreasing after a certain point. We argue that an acceptable sequential allocation of opportunities must take an arm's potential for growth into account. We capture these considerations through the notion of policy regret, a much stronger notion than the often-studied external regret, and present an algorithm with provably sub-linear policy regret for sufficiently long time horizons. We empirically compare our algorithm with several baselines and find that it consistently outperforms them, in particular for long time horizons.
Multi-Objective Reinforcement Learning for Designing Ethical Environments
Authors: Rodriguez-Soto Manel , Lopez-Sanchez Maite , Rodriguez Aguilar Juan A.
Published: August 2021

AI research is being challenged with ensuring that autonomous agents learn to behave ethically, namely in alignment with moral values. A common approach, founded on the exploitation of Reinforcement Learning techniques, is to design environments that incentivise agents to behave ethically. However, to the best of our knowledge, current approaches do not theoretically guarantee that an agent will learn to behave ethically. Here, we make headway along this direction by proposing a novel way of designing environments wherein it is formally guaranteed that an agent learns to behave ethically while pursuing its individual objectives. Our theoretical results develop within the formal framework of Multi-Objective Reinforcement Learning to ease the handling of an agent's individual and ethical objectives. As a further contribution, we leverage on our theoretical results to introduce an algorithm that automates the design of ethical environments.
An Examination of Fairness of AI Models for Deepfake Detection
Authors: Trinh Loc , Liu Yan
Published: August 2021

Recent studies have demonstrated that deep learning models can discriminate based on protected classes like race and gender. In this work, we evaluate bias present in deepfake datasets and detection models across protected subgroups. Using facial datasets balanced by race and gender, we examine three popular deepfake detectors and find large disparities in predictive performances across races, with up to 10.7% difference in error rate between subgroups. A closer look reveals that the widely used FaceForensics++ dataset is overwhelmingly composed of Caucasian subjects, with the majority being female Caucasians. Our investigation of the racial distribution of deepfakes reveals that the methods used to create deepfakes as positive training signals tend to produce ``irregular" faces - when a person’s face is swapped onto another person of a different race or gender. This causes detectors to learn spurious correlations between the foreground faces and fakeness. Moreover, when detectors are trained with the Blended Image (BI) dataset from Face X-Rays, we find that those detectors develop systematic discrimination towards certain racial subgroups, primarily female Asians.
Themis: A Fair Evaluation Platform for Computer Vision Competitions
Authors: Cai Zinuo , Yuan Jianyong , Hua Yang , Song Tao , Wang Hao , Xue Zhengui , Hu Ningxin , Ding Jonathan , Ma Ruhui , Haghighat Mohammad Reza , Guan Haibing
Published: August 2021

It has become increasingly thorny for computer vision competitions to preserve fairness when participants intentionally fine-tune their models against the test datasets to improve their performance. To mitigate such unfairness, competition organizers restrict the training and evaluation process of participants' models. However, such restrictions introduce massive computation overheads for organizers and potential intellectual property leakage for participants. Thus, we propose Themis, a framework that trains a noise generator jointly with organizers and participants to prevent intentional fine-tuning by protecting test datasets from surreptitious manual labeling. Specifically, with the carefully designed noise generator, Themis adds noise to perturb test sets without twisting the performance ranking of participants' models. We evaluate the validity of Themis with a wide spectrum of real-world models and datasets. Our experimental results show that Themis effectively enforces competition fairness by precluding manual labeling of test sets and preserving the performance ranking of participants' models.
A case of undifferentiated pleomorphic cardiac sarcoma
Authors: Yakovlev Sergey , Kalinskaya Anna
Published: August 2021

Primary cardiac sarcoma is known to have a poor prognosis due to late presentation, multiple metastases, and complications, challenging treatment options. We present a case of a 78-year-old female patient who was admitted to our hospital with progressive dyspnea and chest pain. Echocardiography revealed multiple masses of different shape and size in the left atrium, the left and right ventricles. Cardiac magnetic resonance confirmed multiple cardiac masses with signs of invasion in the myocardium and heterogeneous late gadolinium enhancement in all these masses. A biopsy of the abdominal mass revealed an undifferentiated pleomorphic sarcoma.

We planned chemotherapy and supportive measures. Before the initiation of the chemotherapy, the clinical situation worsened dramatically. Despite the pericardiocentesis, the patient died due to cardiac tamponade. An autopsy revealed a massive tumor in the interatrial septum and multiple metastases in both ventricles, lungs, and abdomen.
Regulation of the model types of crowdfunding: China's experience and its applicability in Russia
Authors: Chudinovskikh Marina Vyacheslavovna , Kuvaeva Yuliya Viktorovna
Published: August 2021

This article is dedicated to assessment of the experience of regulation of crowdfunding market in China, as well as its applicability and adaptation in Russia. The key goal consists in conducting a comparative analysis of the approaches towards regulation of crowdfunding in China and Russia. The relevance is define by enactment of the law of August 2, 2019. N.259-FZ “On Attraction of Investments via Investment Platforms and On Introducing Amendments to Separate Legislative Acts of the Russian Federation”. The research is based on the international and Russian statistical data, conceptual reports of the International Organization of Securities Commissions (IOSCO), Cambridge Center for Alternative Finance, and the Bank of Russia. The conclusion is made that it is China that China holds the leading position in the world crowdfunding market. Most widespread in China is Peer-to-peer (P2P) lending via digital platforms. The absence of special regulation led to an investment boom that lasted until 2017, followed by the bankruptcy of a multiple platforms and projects. Strengthening of the state control entailed reduction in alternative financing. The authors formulate recommendations for improving the regulatory approaches towards crowdfunding. The use of RegTech and SupTech technologies is considered as promising direction.
Attraction of investments for the development of end-to-end digital technologies
Authors: Shevchenko Dmitry , Bolotin Yurii Olegovich
Published: August 2021

The current innovation policy agenda of the government of the Russian Federation and its constituent entities is largely determined by the need for the development of end-to-end digital technologies, as it is required for the formation of competitive innovative economy with a high level of the added value. The article explores the expert assessment of the market value, which correspond to the key digital technologies, as well as underlines the crucial importance of these markets for increasing the overall investment economic activity. The article also provides a description of foreign experience of the  developed and developing countries in support the realization of projects in the sphere of end-to-end digital technologies. The scientific novelty lies in the offered model of current cooperation of the major stakeholders in the development of end-to-end digital technologies in the context of increasing their capital coefficient. The acquired results prove the high level of investment attractiveness of digital technologies, their importance for the overall economic development, as well as demonstrate the interrelation and interdependence of the stakeholders of digital economy. The presented materials can be valuable for the experts and researchers engaged in the development of digital technologies, as well as for the representatives of executive authorities dealing with the attraction of investment into the project of digital economy projects on the regional and federal levels.
Assessment of the factors contributing to the formation of regional budget of the Khanty-Mansi Autonomous Okrug –Yugra
Authors: Shirinkina Elena Viktorovna
Published: August 2021

  The relevance of this research is substantiated by the currently growing role of financial relations in the formation and execution of budgets of the constituent entities of the Russian Federation. The formation and implementation of budgetary policy of the Russian Federation determines the economic and financial framework for functionality of the region and life of the society as a whole. The goal is to assess the factors contributing to the formation of regional budget of the Khanty-Mansi Autonomous Okrug – Yugra. The subject of this research is the revenues and expenditures of the budget of Khanty -Mansi Autonomous Okrug – Yugra. Practical importance of the conducted research lies in the obtained results that allow the regional budgets to choose the way for improving budget security. The information base is comprised of the scientific works of Russian and foreign authors, educational-methodological publications, materials of the scientific conferences dedicated to the formation of regional budgets, legislative and normative acts of the Russian Federation, reference materials of the Federal State Statistics Service Of the Russian Federation. The main conclusion consists in determination of the factors influencing the regional budget of the Khanty-Mansi Autonomous Okrug – Yugra. The author's special contribution lies in evaluation of the specificity of formation of budget of the Khanty-Mansi Autonomous Okrug – Yugra, as well as the methods aimed at minimization of budget risks for solution of the regional budgetary problems. The formulated recommendations for increasing budget security would promote the innovative development and improvement of budgetary and tax relations of the regional budgets. The theoretical significance consists in advancement of the theory of regional economy. The acquired results can be applied in theoretical substantiation of the strategic tasks of managing regional budgets.  
The image of Bolshoye Boldino in the Russian literature: peculiarities of local text formation
Authors: Yashina Kseniya Ivanovna
Published: August 2021

The subject of this research is Bolshoye Boldino as the landmark of the Russian culture. The goal is to give characteristics to the image of Bolshoye Boldino established in the Russian literature, as well as analyze the possibility of formation of the local text. It is proven that constant traits of Boldino, such as solitude, isolation from the big world, simplicity of life, and vagueness of time boundaries, were formed based on the letters, works, and events in the life of A. S. Pushkin, and later comprehended by other authors. It is noted that the collection of texts about Bolshoye Boldino consists of the saying and interviews, fiction and folklore compositions. The research material includes the poems and an saying M. S. Petrovyh, Y. V. Drunina, D. S. Samoilov and B. A. Akhmadulina. The conclusion is made that in the Russian culture, Bolshoye Boldino resembles the place of commemoration of A. S. Pushkin, as well as the space that allows a person to achieve comprehension and mindfulness. In the aforementioned works, the image of Bolshoye Boldino in ambivalent: the space is interpreted as a place of salvation or as the origin of the tragic events in life of the poet. The author assumes that the Boldino text is in the process of formation and has low intensity, which is substantiated by its remoteness of from the cultural centers.
Mechanisms of conveying phraseological units in the novel “Eugene Onegin” by A. S. Pushkin [based on the translation into the Portuguese language by Dario Moreira Castro Alves
Authors: Danilova Vasilisa Andreevna
Published: August 2021

The object of this research is the phraseological units in translation of the novel “Eugene Onegin” by A. S. Pushkin into the Portuguese language. Analysis is conducted on the concept of phraseological units and methods of their classification in the scientific literature. The article aims to examine the methods of conveying phraseological units in the two noncognate language, as well as reveal ethnocultural differences in the set phrases denoting similar concepts. The author believes that understanding and proper interpretation of phraseological units are essential for translating foreign literature, learning and teaching foreign languages. The research employs the methods of contextual and comparative analysis of phraseological units of the Russian culture in translation of the novel, which allowed discerning the differences in cognition of the text among the native speakers of Russian and Portuguese languages. The novelty of this article lies in referring to the only existing translation of the novel “Eugene Onegin” into the Portuguese language, which was has not previously become the object of linguoculturological research. It is revealed that phraseologisms are widely used in the novel and can be classified by the degree of stability, metaphoricity and motivation word collocations. The author indicates the differences in linguistic means of conveying phraseological units in the Russian and Portuguese languages, as well as determines the ways of conveying phraseologisms in translation of the novel, such as phraseological equivalent, analogue, calquing, and descriptive translation. In translation of the meanings of Russian phraseologisms into the Portuguese language, the translator was able to achieve considerable accuracy, although it is difficult to convey the national flavor of the novel to the fullest.  
Comparative-semantic analysis of the adverb of time frequency in the Chinese and Russian languages
Authors: Цзинь Лянь
Published: August 2021

This article presents a comparative research of adverbs with the meaning of time in the Russian and Chinese languages. Analysis is conducted on the adverb of time in the Russian languages; characteristic is given to macro- and micro-aspects. Macro-description is an attempt to determine and classify the adverbs of time. Micro-aspect, first and foremost, implies semantic analysis of a specific adverb of time. The subject of this research is the adverb of time ‘always’ in the Russian language in comparison with the corresponding adverb in the Chinese language. The goal of this research consists in the analysis of semantic characteristics and variables that depend on the semantics of grammatical and pragmatic characteristics of the adverb of time frequency “always” in the Russian as compared to the Chinese language. The scientific novelty lies in description of the macro- and micro- aspects, identification of semantic and compatible characteristics of the adverb of time frequency ‘always ' in the Russian languahe in comparison with the corresponding adverb in the Chinese — 总是 [zong shi]. The acquired results indicate that the use of the adverb ‘always’ with the meaning of continuity or frequency requires fulfilling certain conditions. This article can be valuable in further research on the topic, in theory and practice of translation, as well as in teaching Russian as a foreign language to the Chinese students.
HUBUNGAN ANTARA PANDEMI COVID-19 DAN HARGA SAHAM PERUSAHAAN SUB SEKTOR HOTEL, RESTORAN DAN PARIWISATA YANG TERDAFTAR DI BEI
Authors: Gunawan Reinandus Aditya
Published: August 2021

The Covid-19 pandemic is one of the events which really affected Indonesian economy whereas there are still additional new cases in Indonesia every day. The most affected components are Composite Stock Price Index (IHSG) and the Indonesian economy. The most affected business industrial sub-sectors are the hotel, restaurant and tourism which due to Covid-19 there were so many cancelled flights from abroad to Indonesia. This condition made impact to the significantly decrease of company revenues and even some companies decided to close their business. The aim of this study is to find the relationship between Covid-19 as measured by daily new cases, daily recovered cases and daily death cases with the average stock price of the hotel, restaurant and tourism sub-sector. The statistical test used is to perform Pearson analysis. The results of this study are all variables both daily new cases, daily recovered cases and daily death cases have a negative relationship with the average stock price of the hotel, restaurant and tourism sub-sector. Besides that, the new daily cases have a positive correlation with new daily recovery cases, and positive significant with daily death cases. Moreover, daily recovery cases have positive correlation with daily death cases.
FACTORS INFLUENCING DIVIDEND POLICY IN MANUFACTURING COMPANIES
Authors: Putra Imbron Ahmady , Panggabean Rosinta Ria
Published: August 2021

Purpose: This research aims to analyze and provide empirical evidence on cash position, collateralizable assets and firm's life cycle on dividend policy with firm's size and debt to equity ratio as the control variables. Methodology: The population includes manufacturing companies listed on Indonesia Stock Exchange and The Philippines Stock Exchange during the period of 2015-2017. The total samples of 144 were gathered from Indonesia and 81 samples were gathered from Philippine. To analyze the data, a quantitative data analysis method was used and to calculate the data, statistical method with Eviews application was used which consists of descriptive statistic test, classical assumption test, panel data regression, and the hypothesis testing. Findings: the results revealed that cash position has a significant effect on dividend policy on both Indonesian samples and Philippine samples. Whereas, collateralizable assets, firm's life cycle, firm's size, and debt to equity ratio do not have significant effects on dividend policy on both Indonesian and Philippine. It is recommended that future research add the number of company samples from other industries, not only manufacturing. It is also suggested to use company samples from other countries outside the scope of this research, and to increase the number of observed data by expanding the observed years. Additionally, it is also suggested to add other variables such as growth rate, market to book value, investment opportunity set that may potentially affect dividend policy. Value: comparison of determinants of dividend policy in Indonesia and Philippine.
PENERAPAN METODE PENJUALAN DAN COST VOLUME PROFIT DALAM PERENCANAAN LABA
Authors: Sutjiawan Jeremy , Petronila Thio Anastasia
Published: August 2021

This research aims to analyze the effective sales method and the benefits of implementing the Cost Volume Profit (CVP) analysis in order to be able to plan profits and make appropriate decisions. Research using case studies for Geprek Koplo Chicken at Hangry Indonesia for the period July until September 2020 . Data were obtained through interviews with related parties, observations,  and viewing company financial documents. For the purposes of CVP analysis on Geprek Koplo Chicken, costs were classified based on cost behavior in relation to changes in the level of activity into fixed costs and variable costs.The results showed that the company's sales were effective using GrabFood, especially during the Covid-19 pandemic where there was a reduction in community activity outside the home so that many people prefer to use GrabFood services compared to the Hangry application. With CVP analysis, the company can (a) determine the level of sales at which the company does not make a profit or a loss (break-even point sales) of IDR 3,946,127,482, (b) determine sales projections if the company wants to get a certain profit target, (c) MOS ratio of -35.84% , (d) ) DOL of -2,79x, and (e) SDP of IDR3,927,908,379.
APAKAH GENDER MEMODERASI PENGARUH TRUST, DAN EASE-OF-USE TERHADAP ONLINE REPURCHASE INTENTION?
Authors: Darmoyo Syarief , Sustaningrum Rakhdiny
Published: August 2021

Pandemi Covid-19 mengubah rutinitas pembelian kebutuhan sehari-hari sehingga konsumen merasakan berbagai pengalaman dalam berbelanja secara online. Dampak kepercayaan dan kemudahan dalam bertransaksi menimbulkan keyakinan dalam berbelanja sehingga konsumen memiliki niat pembelian kembali, namun adanya kepercayaan dan kemudahan penggunaan ini akan dilihat perbedaan secara jenis kelamin apakah terdapat perbedaan antara laki-laki dan perempuan. Penelitian ini dilakukan dengan metode survey dengan cara menyebarkan google form pada 105 konsumen toko online “X” yang dipilih dengan teknik purposive sampling. Data yang terkumpul kemudian dianalisis dengan hierarchical regssion analysis. Hasil penelitian ini menunjukkan bahwa trust berpengaruh terhadap online repurchase intention, ease of use berpengaruh terhadap online repurchase intention, pengaruh trust terhadap online repurchase intention dimoderasi oleh gender, dan pengaruh ease of use terhadap online repurchase intention tidak dimoderasi oleh gender.
Sites of Television Channels of Cultural and Educational Topics: Experience of “Russia K” and ARTE
Authors: Artes A. S.
Published: August 2021

The article presents the outcomes of studying the transformation of audiovisual content in a new technological environment, which is one of the stages of the research project conducted by the Department of Television and Radio Broadcasting of the Journalism Department of Lomonosov Moscow State University. This stage held in July 2019 aims to identify the technological features of the work of the cultural and educational TV channel portals – “Russia K” (domestic channel) and ARTE (French-German channel). Both “Russia K” and ARTE are important media players that have been setting trends in their field for more than 10 years. The reason for comparing these channels was their thematic focus and a certain similarity of projects. The TV channel “Russia K” is the only non-for-profit channel dedicated to the cultural and educational topics in R SMAI, and ARTE TV channel is one of the most popular media specialized in this subject in Europe. During this stage the total amount of analyzed materials is 251 (145 publications on the “Russia K” and 106 on ARTE websites). The analysis of materials published on the Internet is based on following criteria: the number of materials, the nature of the content (broadcast / special), thematic and genre.

The analysis of the amount of materials enables tracing the frequency of publication of new articles; data on the nature of the content helps to conclude which materials on the sites are more – on-air or special. Defining thematic and genre originality provides a complete picture of the content being posted.

The author concludes that nowadays the Internet versions of the channels have their own faces but are inseparably bound with their television counterparts. The website of the TV channel “Russia K” is a vibrant media with recognizable style and creative presentation. However, in order to strengthen its position, the editors of the site should increase the number of copyright off-air materials and use new interactive genres (tests, quizzes, etc.).

The site of the ARTE channel fits into the modern digital space while maintaining the classic presentation. Since most ARTE channel programs are timeless, they correlate very well with the consumer nature of the Internet and the need for educational content. Documentary films – the most common form of ARTE channel programs is in great demand by the audience in the digital environment that wants to quickly learn something important in a simple, vivid and understandable form.

The difference between the on-air and non-air versions is largely exaggerated, because sites and channels do not compete with each other but are adjacent and complement each other. Websites enable access to the channel’s content anytime, anywhere, by selecting the desired program. Sites act not only as electronic repositories but also as individual units in the media world providing unique information.
Discourse of Retrotopia in the Internet Space (Notes on the Question of Nostalgic Representations)
Authors: Markasov M. Yu. , Markasova O. A.
Published: August 2021

The article considers nostalgic representations of the most relevant historical past for modern Russia – the Soviet period in social networks. It is noticeable that the so-called post-memory can be absolutely not identical, and often the opposite of “real” events, that there are as many varied recollections as there are social groups. Moreover, memory may be embodied and preserved in objects and things, and the modern myth is shaped primarily by the mass culture, absorbing the most orthodox stereotypes. The article discussed such socio-cultural and psychological phenomenon as retrotopia. Based on the analysis of some visual and textual materials, it argues that the discourse of retrotopia manifests itself at different levels of linguistic and cultural components. The opposite “anti-Soviet” discourse, on the contrary, is extremely ironic, and may be defined as network kitsch. This article analyzes materials about Soviet realities produced by the Belarusian blogger Maksim Mirovich. As a result, it concludes that the blogger aims not so much to deconstruct myths, but the fight against the illusions of “uncomfortable” consciousness, with the narrow-minded view of the world, thus, the reverse is true. Furthermore, Maxim Mirovich and the USSR fans create the narrative in the context of the so-called post-truth: each of the opponents constructs his own model of the world, in which the “truth/false” opposition has secondary importance. Generally, Internet materials about Soviets can be presented as a semantic game, juggling with mass concepts, filling the Internet space with meanings, rather than an ideological confrontation.
Satirical Weekly “Iskra”: Post-Folklore, Post-Irony and Post-Modern
Authors: Kozlov A. E.
Published: August 2021

Purpose.The reputation of the satirical weekly Iskra is traditionally determined by the political context of the Russian Empire in 1860s. Despite the fact that in the first years of its existence, the publication attracted writers of various fractions, views, and convictions, Iskra was perceived as a radical magazine, “…another department of Sovremennik”. Moreover, Iskra’s defamations and attacks against provincial and capital officials, and writers have become an inte gral part of the everyday life of the 1860s. Individual articles and whole issues have been banned and censored, though this policy only promoted and strengthened the reputation of weekly. Later, reflecting the importance of the magazine, the Soviet literary criticism established a typological relationship between Iskra by Kurochkines brothers and the left-wing newspaper of the same name published by V. I. Lenin at the beginning of the 20th century. This article attempts to reinterpret Iskra, implying a “weakening” of the sociological and political aspects of interpretation in favor of the aesthetic ones.

Results. The article put forward a hypothesis that publications such as Charivari, Punch, and Iskra can be considered from perspective of modern discursive practices: post-folklore (the phenomenon of variable text and multiple authorship), post-modernity (discrediting the classical heritage or its carnival rethinking) and post-irony (deconstruction of modern leaders of opinion, self-exposure). Based on the study of prosaic and poetic parodies and satire, graphic texts - cartoons and serials (comics), the author analyzes the specificity of the construction and presentation of Russian reality as an anti-world. The article contains fragments of prose and poetic feuilletons by D. D. Minaev, V. P. Burenin, and M. Stopanovsky, many of which are published for the first time.

Conclusion. Iskra as a product of the polemical journalism of the Russian Empire in 1860s displayedan experience of a new aesthetics (a kind of anti-aesthetics), synthesizing schoolchildren (cartoons) and decadent subcultures (Baudelaire translations). Apparently, the 8000 subscribers included not only a radical and democratic reader but also a general audience, equally tired of the official tone of government periodicals and the moralizing of the progressive camp. Demonstrating Russian life as the so-called ‘antiworld’, Iskra proposed a version of “carnival liberation”, which was probably reflected in the poetics of many contemporaries: M. E. Saltykov-Shchedrin, N. S. Leskov, F. M. Dostoevsky. In this regard, the issue of post-folklore, post-modernism, post-truth, and post-irony on the pages of Iskra rather remained unresolved. However, the change in perspective, it seems to us, enables reinterpretation of the previously collected data, allowing us to give a new interpretation.
Spanish Quality Press Coverage of the Pandemic Issue in Russia
Authors: Simonova M. V.
Published: August 2021

The author analyses the features of media coverage of the new coronavirus infection (Covid-19) in Russia based on the material published from March 1, 2020, to May 15, 2020, in the Spanish high-quality press – daily social-political newspapers El País, El Mundo, and ABC. These papers are most read and influential in the modern media space not only in Spain but in the international market, and in particular in Latin America. The main goal of the study is to show how the image of Russia in the international media space affects the presentation of the pandemic in Russia in Spanish mass media. The author also studies the “quality press” concept and analyses this through the prism of Russian and foreign approaches. The analysis of the publications (152 articles), selected using the keywords “Russia”, “Moscow”, “Putin”, “Covid-19”, showed that some newspapers, being of high-quality and most read, do not reflect the pandemic situation in Russia widely (El País), or represent the sanitary situation in Russia partly and in the context of the domestic politics focused on the figure of the President (El Mundo). Another newspaper ABC corresponds to all the requirements for the status of quality press and covers the current situation of the pandemic in Russia objectively; 75 materials published during the analysed period draw the readers’ attention to the situation with the pandemic and not on the political situation in Russia.
Plot Clic s of Novels about “New People” in the Context of the Magazine Polemic of the 1860s and 1870s
Authors: Pecherskaya T. I.
Published: August 2021

The article considers papers and reviews by Saltykov-Shchedrin, criticizing novels about “new people”. The main focus is on the period 1868–1871 when Saltykov-Shchedrin was the main critic of the magazine “Notes of The Fatherland” (“Otechestvennye Zapiski”). The polemic between magazines “Notes of The Fatherland” and “Delo” continued the debate started by the predecessor magazines – Nekrasov’s “Sovremennik” and Blagvetlov’s “Russian word”.

The purpose of the article is to identify the main plot clichés in novels about “new people” presented in reviews.

Results. The main criticism expressed through the parody indicates the position of the critic towards the author. Parody is a crucial part of most reviews. The article describes the main techniques of parody: selection of plot elements that are repeated in novels about “new people”, schematization of their combinations. All this brings the plot to a common denominator with many similar plots. It also demonstrates an important point of the critic: the lack of artistry cannot be compensated for by any actual social ideas.

Conclusions. By the end of the 1860s, the repetition of plot patterns and hero types in novels about “new people” was a basic feature of any plot. In the reviews, Saltykov-Shchedrin drew a fairly complete picture of the plot clichés used both in democratic literature and in the anti-nihilist novel. Parody as a reflexive response to the processes taking place in literature can be considered as a symptom of a completed phenomenon. In this case, the parody marks the end of the intense but short life of the “new people” of the 1860s.
Amateur Magazines of Tomsk Seminarians: The History of Magazine “Soyus”
Authors: Esipova V. A.
Published: August 2021

The problem of publications made by students in the early 20th century recently became a matter of interest among scholars. The purpose of the article is to study one of them, “Soyuz” magazine, which was published by students of the theological seminary in Tomsk in 1907. The problem is that not a single issue of the magazine has survived to this day. Therefore, the research relies on the method of historical reconstruction based on the archival documents. The main achievements of this study are as follows. Based on the analyses of previously unknown archival sources, it reconstructs the history of the magazine, its team, printing equipment, and capacities, and the list of authors. It discovers a description of the magazine made by the Tomsk gendarme office. The article contains the contents of two issues of the magazine. It establishes that the magazine stuck to social-democratic ideas and was the structural element of the Tomsk branch of the All-Russian Seminary Union. It indicates the place of the magazine among other Tomsk periodicals. On the one hand, it fully fitted into the practice of the work of social-democratic organizations, on other hand, in terms of the methods of technical and organizational creation, it was a typical students self-published publication.