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The emergence of decentralized finance (DeFi) allows arbitrageurs to obtain risk-free income from price gaps of cryptocurrency tokens in many global markets. Several automated arbitrage techniques have been invented to profit from single or multiple platforms, including Centralized and Decentralized Exchange (CEX and DEX), triangular, and DEX-Fait. This paper proposes the arbitrage strategy of cross-cryptocurrency exchanges (ASCEX), a novel automated arbitrage strategy for CEX-DEX platforms, to maximize profit and loss (PNL) using a token route searching algorithm. Based on feature comparison, ASCEX outperforms the existing trading strategies available. Our actual trade experiment shows that ASCEX can generate up to 0.95% monthly risk-free profit compared to 0.34% trading on DEX alone.

In the beginning (the early 1960s), the long-term goal of automated reasoning (although the field at the time was not known by that name) was the design and implementation of a program whose use would lead to "real" and significant contributions to mathematics by offering sufficient power for the discovery of proofs. The realization of that goal appeared to be at least six decades in the future. However, with amazement and satisfaction, we can report that fewer than four decades were required. In this article, we present evidence for this claim, thanks to W. McCune's program OTTER. Our focus is on various landmarks, or milestones, of two types. One type concerns the formulation of new strategies and methodologies whose use greatly enhances the power of a reasoning program. A second type focuses on actual contributions to mathematics and (although not initially envisioned) to logic. We give examples of each type of milestone, and, perhaps of equal importance, demonstrate that advances are far more likely to occur if the two classes are closely intertwined. We draw heavily on material presented in great detail in the new book Automated Reasoning and the Discovery of Missing and Elegant Proofs, published by Rinton Press.

SINGAPORE – The Only Singapore Private Hospital to Achieve Success at Asian Hospital Management Awards 2016.

UNITED STATES – Study Finds Vision Loss Due to Diabetes Is Rising Globally.

UNITED STATES – How Sleep Deprivation Harms Memory.

UNITED KINGDOM – Plasticell and CellSpring Collaborate to Validate Osteogenic Cell Therapy and 3D Cell Culture Models for High Performance Drug Screening.

JAPAN – Takeda Announces Bold, New Access to Medicines Strategy.

THAILAND – Ministry of Public Health Embarks on eHealth in Thailand with VMware Virtualization and Mobility Solutions.

AUSTRALIA – Australian-led Global Sleep Apnea Medical Device Study Shows Treatment Improves Wellbeing but Without Any Cardiovascular Benefit.

RUSSIA – R-Pharm Produces Biological Drugs in Yaroslavl with GE Healthcare's FlexFactory™ Manufacturing Platform.

AUSTRALIA & RUSSIA – Pharmaxis Announces Russian Approval for Bronchitol Largest Market Accessed to Date.

This study explores the use of rough-set methods for marketing decision support systems in the retail business. A tutorial presentation of Rough Set Data Analysis (RSDA) in the context of knowledge discovery from time series databases is given. We show how an RSDA model can be used to develop a marketing decision support system which can capture the complex relationships between marketing factors, such as advertising and promotion, and the total impact on sales levels in order to find influential advertising strategies. This information is used by the business manager to make faster and better strategy decisions for the business to survive in the rapidly changing and competitive environments. The data set used for RSDA application example contains weekly investments in different media categories: TV, radio, cinema, morning press, evening press, popular press, special interest press, and outdoor posters; for seven makes of cars in the Swedish market.

Over the last few decades, Corporate Social Responsibility (CSR) disclosures become a powerful driver of overall stakeholders’ development while the relationship between CSR and its performance has provided conflicting results due to the most used intersecting circle representation of assessment of CSR. This study fills an important gap by analyzing the framework of CSR assessment practices on identification of five criteria and 17 indicators encompassing the strategies of accountability, transparency and compliance of CSR. To achieve the goal of CSR, the strategies have been defined in connection with different literatures and quaternary survey for criteria selection, where the criteria are expressed in a fuzzy horizon. This multi-criteria decision-making (MCDM) model has been solved using a fuzzy analytical networking process and balanced scorecard (BSC) method to develop selection strategy and criteria for implementation of CSR. The paper’s outcomes help administrators of corporate sectors, particularly in developing countries, to follow sustainable actions as CSR providers effectively and to gain a significant reasonable advantage. The findings exposed the CSR assessment structure and interrelationships among BSC perspectives/criteria and indicators on which managers are needed to emphasize to get optimum CSR performance. In this study, the most important strategy and criteria to perform optimum CSR level are as follows: “accountability of CSR project” is the best strategy; “Project team work, incentives, Environmental resources, Communication for motivation, Reporting initiative of stockholders, CSR project with stockholder capital, Strategic governance, Mission sustainability, political role, Human resources”, respectively, are criteria.

Recent results have shown that sodium-ion batteries complement lithium-ion batteries well because of the low cost and abundance of sodium resources. Hard carbon is believed to be the most promising anode material for sodium-ion batteries due to the expanded graphene interlayers, suitable working voltage and relatively low cost. However, the low initial coulombic efficiency and rate performance still remains challenging. The focus of this review is to give a summary of the recent progresses on hard carbon for sodium-ion batteries including the impact of the uniqueness of carbon precursors and strategies to improve the performance of hard carbon, and highlight the advantages and performances of the hard carbon. Additionally, the current problems of hard carbon for sodium-ion batteries and some challenges and perspectives on designing better hard-carbon anode materials are also provided.

The Gorai River off-taking from the Ganges River, is the main source of fresh water supply to the Southwest Region of Bangladesh. It is observed that, since 1989 the off-take of the Gorai fully dries up during the critical dry periods (January – May) and completely cuts off the supply of fresh water. This has caused a serious socio-ecological problem with negative environmental impact on the Southwest Region. Several past attempts of excavating the Gorai mouth have failed to produce hardly any benefit due to lack of adequate knowledge of the off-take mechanism.

For the first time a mathematical model aided three-year pilot dredging programme has been carried out for providing data and experience in devising a long-term sustainable dredging design and strategy. During the dredging, decision on the long-section, cross-section, and alignments of dredging were supported by several scenario simulations by numerical modelling of the hydraulic performance in terms of flow diversion from the Ganges, backfilling rate and erosion processes. Results with hydraulic interpretation of the corresponding simulations have been assessed to minimise the dredging effort by keeping track of the cut-off date for the dredging ensuring required flow diversion from the Ganges and to take decisions on a sustainable approach towards deciding on dredging strategy.

As technologies become more open and easily applied, they will be used extensively as they promise competitive advantage through more efficient and effective management of supply chain processes. At the same time, however, they represent a potential trap for organizations thinking that they will supplant the need for effective strategy formulation, appropriate management of resources, or effective change and knowledge management systems. The management of the supply chain will be facilitated by more sophisticated technologies, but the organizations that are likely to benefit most will still be those able to choose, implement, and manage technologies appropriate to the requirements of their trading partner networks. A set of propositions and a framework explaining the nature of these relationships is presented.

By virtualization and service mode on demand of cloud computing, software engineering based on cloud computing should adapt new mode and method. How to combine traditional software development and deployment with cloud computing platform is still an indefinite problem. To resolve the problem in software development based on cloud computing, software engineering concept and properties are illustrated, and the software engineering methods and strategies are discussed and analyzed, and the implement application development and testing are performed. Through the software engineering based on cloud computing research and practice, some valuable strategies and methods are proposed, and the result shows that software engineering based on cloud computing has much benefits in software development flow and methods.

Since the 20th century, with the development and progression of the science and technology, the ability of human transforming natural has been improving, at the same time, constantly, human are destroying the ecological environment increasingly also. The ecological environment problems have become the severe challenges of human facing. In modern times, all countries in the world began to realize deeply the significance of the protecting and improving the ecological environment, and have been exploring and putting forward sustainable development view in the constant practice. Humans began to realize that if we effectively protect the ecological environment, we must implement the sustainable development view. In the process of socialist modernization construction, there are many serious problems of the ecological environment in China, the party and the government of China is leading the Chinese people' to explore industriously the socialism path of the ecological environment instruction with Chinese characteristics, and has achieved significant results.