DIGITALIZATION AS A KEY FACTOR IN DEVELOPING LOGISTICS SERVICES MARKET IN THE CONTEXT OF THE COVID-19 SPREADING

2020 ◽  
Vol 10 (8) ◽  
pp. 1782-1797
Author(s):  
I.F. Zhukovskaya ◽  
◽  
D.A. Mityakov ◽  
Keyword(s):  
Supply Chains ◽  
Global Economy ◽  
Large Scale ◽  
Negative Impact ◽  
Early Stage ◽  
State Level ◽  
Economic Research ◽  
National Bureau ◽  
Stage Of Development ◽  
Restrictive Measures

Over the past decades, there have been significant changes in organizational forms, tools, technologies for managing companies’ logistics and supply chains. This is mainly the result of the business digitalization paradigm caused by the growth of logistics costs in recent years. Massive outbreaks of COVID-19 and restrictive measures introduced at the state level to prevent the spread of coronavirus have had a strong negative impact on the efficiency of the global economy in the first months. The coronavirus also severely disrupted logistics activities, as air travel was cut, seaports closed and workers were at risk. According to the National Bureau of Economic Research (NBER) estimates, the drop in GDP from restrictions in 64 studied countries of the world can reach 31.2%, and a third of this decline is due precisely to gaps in global supply chains. However, after the lifting of restrictive measures, the size of the global logistics market may grow from USD 2734 billion in 2020 to USD 3215 billion in 2021, which will amount to 17.6% on an annualized basis [1]. In these conditions, logistics providers need to quickly increase capacity, diversify routes, increase network flexibility and resiliency, and reduce costs. Achieving these results will depend on how quickly and comprehensively the logistics companies automate and digitize. The Russian logistics and supply chain management (SCM) market is still at an early stage of development, and many companies are just beginning to explore the possibilities of logistics outsourcing and service provision. Therefore, the issues of digitalization are not yet of primary importance for them. The analysis carried out in the article showed that in the context of the global digitalization of the economy, an advantageous geographical position on the path of movement of trade flows from Asia to Europe ceases to be a clear competitive advantage. In these conditions, Russian logistics companies need large-scale automation and digitalization.

scholarly journals GproDIA enables data-independent acquisition glycoproteomics with comprehensive statistical control

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yi Yang ◽  
Guoquan Yan ◽  
Siyuan Kong ◽  
Mengxi Wu ◽  
Pengyuan Yang ◽  
...  
Keyword(s):  
Large Scale ◽  
Early Stage ◽  
Statistical Control ◽  
Serum Samples ◽  
Accurate Identification ◽  
Spectrum Prediction ◽  
Data Independent Acquisition ◽  
Stage Of Development ◽  
Spectral Libraries ◽  
Semi Empirical

AbstractLarge-scale profiling of intact glycopeptides is critical but challenging in glycoproteomics. Data independent acquisition (DIA) is an emerging technology with deep proteome coverage and accurate quantitative capability in proteomics studies, but is still in the early stage of development in the field of glycoproteomics. We propose GproDIA, a framework for the proteome-wide characterization of intact glycopeptides from DIA data with comprehensive statistical control by a 2-dimentional false discovery rate approach and a glycoform inference algorithm, enabling accurate identification of intact glycopeptides using wide isolation windows. We further utilize a semi-empirical spectrum prediction strategy to expand the coverage of spectral libraries of glycopeptides. We benchmark our method for N-glycopeptide profiling on DIA data of yeast and human serum samples, demonstrating that DIA with GproDIA outperforms the data-dependent acquisition-based methods for glycoproteomics in terms of capacity and data completeness of identification, as well as accuracy and precision of quantification. We expect that this work can provide a powerful tool for glycoproteomic studies.

scholarly journals The Negative Impact of the Effects of Coronavirus on the Well-Being of Children and Families Who Are Clients of Child Protection Authorities in Finland

2021 ◽  
Vol 2 (1) ◽  
pp. 37-46
Author(s):  
J. Kuokkanen ◽  
A Tiili ◽  
A. Paasivirta
Keyword(s):  
Child Protection ◽  
Large Scale ◽  
Negative Impact ◽  
Well Being ◽  
Negative Consequences ◽  
Children And Families ◽  
Negative Effects ◽  
State Of Emergency ◽  
Large Scale Survey ◽  
Restrictive Measures

In the spring 2020, the first wave of the coronavirus pandemic quickly spread across Finland, having significant negative consequences for people’s living conditions. On March 16, 2020, the Finnish government declared a state of emergency and imposed several restrictive measures that were in effect until July 16, 2020 [13; 16]. The coronavirus and its aftermath have weakened the resilience of the Finnish welfare state, thereby challenging the welfare state’s ability to protect those most in need of its support. Recent studies have shown that the most vulnerable populations, such as children, are most affected by the negative effects of the pandemic in Finland and worldwide [5; 9; 11; 14; 18]. In autumn 2020, the Central Union for Child Welfare (CUCW) and the National Institute for Health and Welfare (THL) conducted a large-scale survey among the heads of child protection authorities (15.08.—13.10.2020), the aim of which was to find out how the consequences of the coronavirus and government restrictions have affected the well-being of children and their families who are clients of child protection authorities during the fall 2020. This article presents the main results and conclusions of the survey.

scholarly journals Introduction of microgeneration and energy-saving technologies within the concept of green economy: foreign experience and Russia

2019 ◽  
Vol 27 (3) ◽  
pp. 442-454
Author(s):  
Konstantin G. Gomonov ◽  
Polina O. Sipakova ◽  
Anastasia P. Chapurnaya
Keyword(s):  
Energy Saving ◽  
Global Economy ◽  
Large Scale ◽  
Negative Impact ◽  
Renewable Energy Sources ◽  
Green Economy ◽  
Electricity Production ◽  
Energy Sources ◽  
Information Research ◽  
Gross World Product

The aim of this work is a comparative analysis of the level of development of microgeneration and energy-saving technologies in the framework of the national economy of Russia and the world. The relevance is predetermined by the rapid growth of the investment policy of microgrids and energy-saving technologies based on renewable energy sources (2.6 trillion dollars). Basic information research provided analytical reviews, reports and analytical materials, specialized international departments and agencies, the Ministry of Energy of the Russian Federation, as well as the work of Russian and foreign scientists. Understanding the large-scale tasks related to the development, as well as the development of national and international relations, are an incentive for the pursuit of cleaner, primarily technologies. By 2030, provided that the current course on sustainable development is maintained, the green economy should grow to 10 % of the gross world product. Microenergy is an energy-efficient energy source in the restructuring of Russia's energy sector - the transition from a centralized system, the use of large sources of electricity production, the use of various energy sources that are most suitable for these environmental conditions and the characteristics of natural consumers. Reducing the negative impact of pollution on health and the environment can significantly reduce the burden on the economy, thereby freeing up resources for its growth. The transition of the global economy to a model of green growth will require significant efforts to expand international cooperation. This will require consistent government policies over many years. It is advisable for Russia to join in the development of methodologies and the creation of tools for implementing green initiatives.

Large-Scale Flow Patterns and Their Influence on the Intensification Rates of Western North Pacific Tropical Storms*

2007 ◽  
Vol 135 (3) ◽  
pp. 1110-1127 ◽  
Author(s):  
Justin D. Ventham ◽  
Bin Wang
Keyword(s):  
North Pacific ◽  
Western North Pacific ◽  
Large Scale ◽  
Early Stage ◽  
Flow Patterns ◽  
Reanalysis Data ◽  
Tropical Storm ◽  
Tropical Storms ◽  
Rapid Intensification ◽  
Stage Of Development

Abstract NCEP–NCAR reanalysis data are used to identify large-scale environmental flow patterns around western North Pacific tropical storms with the goal of finding a signal for those most favorable for rapid intensification, based on the hypothesis that aspects of the horizontal flow influence tropical cyclone intensification at an early stage of development. Based on the finding that intensification rate is a strong function of initial intensity (Joint Typhoon Warning Center best track), very rapid, rapid, and slow 24-h intensification periods from a weak tropical storm stage (35 kt) are defined. By using composite analysis and scalar EOF analysis of the zonal wind around these subsets, a form of the lower-level (850 mb) combined monsoon confluence–shearline pattern is found to occur dominantly for the very rapid cases. Based on the strength of the signal, it may provide a new rapid intensification predictor for operational use. At 200 mb the importance of the location of the tropical storm under a region of flow splitting into the midlatitude westerlies to the north and the subequatorial trough to the south is identified as a common criterion for the onset of rapid intensification. Cases in which interactions with upper-level troughs occurred, prior to and during slow and rapid intensification, are studied and strong similarities to prior Atlantic studies are found.

Commentary: Assessing the Benefits and Costs of the Doha Development Agenda Negotiations -- a Labor Perspective

2005 ◽  
Vol 5 (4) ◽  
pp. 1850077 ◽  
Author(s):  
Thea Lee
Keyword(s):  
International Economic ◽  
Economic Policy ◽  
International Trade ◽  
Advisory Committee ◽  
Wage Inequality ◽  
Global Economy ◽  
Economic Research ◽  
National Bureau ◽  
Smith College ◽  
The Impact

A commentary on the Doha Development Round by a representative of the AFL-CIO. Thea Lee is Policy Director at the AFL-CIO in Washington, D.C., where she oversees research and strategies on domestic and international economic policy. Previously, she worked as an international trade economist at the Economic Policy Institute in Washington, D.C. and as an editor at Dollars & Sense magazine in Boston. Lee is co-author of A Field Guide to the Global Economy, published by the New Press. Her research projects include reports on the North American Free Trade Agreement, the impact of international trade on U.S. wage inequality, and the domestic steel and textile industries. She has testified before several committees of the U.S. House of Representatives and the Senate on various trade topics. She serves on several advisory committees, including the State Department Advisory Committee on International Economic Policy and the Export-Import Bank Advisory Committee. She is also on the Board of Directors of the Worker Rights Consortium and the National Bureau of Economic Research. She received a Bachelor’s degree from Smith College and a Master’s degree in economics from the University of Michigan.

scholarly journals Assessment of Factors and Indicators Influencing the Cyclical Development of the Economy of Azerbaijan

2021 ◽  
Vol 14 (2) ◽  
pp. 100-121
Author(s):  
E. M. Ahmadova
Keyword(s):  
Interest Rates ◽  
Negative Impact ◽  
The United States ◽  
Economic Research ◽  
Annual Data ◽  
National Bureau ◽  
Scientific Methods ◽  
Economic Cycles ◽  
Indicator Approach ◽  
Fundamental Research

We are proposing the results of economic development factors analysis, and there influence in forming and display of the economic cycles. The purpose of this article is to identify significant indicators of the cyclical development Azerbaijan economy for the capable of predicting and regulating phases of the onset of business cycle. Were checking 20 different indicators based by the annual data of the State Statistical Committee from 1998 to 2018. The relationship and influence of interest rates and the cyclical Azerbaijan economy development were examined. The methodological basis of this work became an analysis of such fundamental research data as papers IMF and the National Bureau of Economic Research (NBEI) of the United States. Scientific methods of our research were an indicator approach, complemented by a qualitative analysis and a correlation-regression analysis. The calculations were performed by the freely distributed modern software - the statistical environment R, the most dynamically developing program in its class. So acyclic, countercyclical, and pro-cyclic indicators were identified by us. The features of the influence of these indicators on cyclic development in modern conditions were identified, their significance was determined. It was concluded that the possibility of economic cycles forecasting by the various phases indicators contributes to the modeling of economic activity. The results of the research can be applied both to monitor the development of the Azerbaijan economy and to predict the onset of the corresponding economic phases with the aim of adapting and reducing crises’ negative impact at the micro and macro levels.

scholarly journals The Potential Role of Direct Air Capture in the German Energy Research Program—Results of a Multi-Dimensional Analysis

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3443 ◽  
Author(s):  
Peter Viebahn ◽  
Alexander Scholz ◽  
Ole Zelt
Keyword(s):  
Dimensional Analysis ◽  
Research Program ◽  
Large Scale ◽  
Potential Role ◽  
Early Stage ◽  
Energy Research ◽  
Stage Of Development ◽  
Direct Air Capture ◽  
Air Capture

A significant reduction in greenhouse gas emissions will be necessary in the coming decades to enable the global community to avoid the most dangerous consequences of man-made global warming. This fact is reflected in Germany’s 7th Federal Energy Research Program (EFP), which was adopted in 2018. Direct Air Capture (DAC) technologies used to absorb carbon dioxide (CO2) from the atmosphere comprise one way to achieve these reductions in greenhouse gases. DAC has been identified as a technology (group) for which there are still major technology gaps. The intention of this article is to explore the potential role of DAC for the EFP by using a multi-dimensional analysis showing the technology’s possible contributions to the German government’s energy and climate policy goals and to German industry’s global reputation in the field of modern energy technologies, as well as the possibilities of integrating DAC into the existing energy system. The results show that the future role of DAC is affected by a variety of uncertainty factors. The technology is still in an early stage of development and has yet to prove its large-scale technical feasibility, as well as its economic viability. The results of the multi-dimensional evaluation, as well as the need for further technological development, integrated assessment, and systems-level analyses, justify the inclusion of DAC technology in national energy research programs like the EFP.

scholarly journals A large-scale multi-institutional study evaluating prognostic aspects of positive ascites cytology and effects of therapeutic interventions in epithelial ovarian cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Masato Yoshihara ◽  
Ryo Emoto ◽  
Kazuhisa Kitami ◽  
Shohei Iyoshi ◽  
Kaname Uno ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Large Scale ◽  
Negative Impact ◽  
Early Stage ◽  
Stage Iv ◽  
Therapeutic Interventions ◽  
Limited Information ◽  
Mucinous Histology ◽  
Staging Surgery ◽  
The Impact

AbstractPositive ascites cytology is a strong prognostic factor in patients with early-stage ovarian cancer (OvCa). However, limited information is currently available on the impact of positive ascites cytology on patient prognoses under each clinical background. We herein investigated the comprehensive impact of positive ascites cytology on patients with epithelial OvCa and the effectiveness of additional therapeutic interventions, including complete staging surgery and chemotherapy. Among 4730 patients with malignant ovarian neoplasms, retrospectively identified in multiple institutions, 1906 with epithelial OvCa were included. In the investigation of its effects on clinical factors using a multivariate analysis, positive ascites cytology correlated with a poor prognosis. Positive ascites cytology had a significantly worse prognosis than those with negative cytology in all subgroups except for patients with stage IV tumors and a mucinous histology. Chemotherapy may be effective in reducing the negative impact of positive ascites cytology on the prognosis of patients in terms of progression-free and overall survivals, while complete staging surgery did not improve the prognosis of patients with positive ascites cytology. Collectively, our findings suggested that positive ascites cytology had a negative impact on the prognosis of patients with epithelial OvCa, but not those with stage IV tumors or a mucinous histology.

scholarly journals Prognostic Aspects of Positive Ascites Cytology and Effects of Therapeutic Interventions in Epithelial Ovarian Cancer: a Large-scale Multi-institutional Study

2021 ◽  
Author(s):  
Masato Yoshihara ◽  
Ryo Emoto ◽  
Kazuhisa Kitami ◽  
Shohei Iyoshi ◽  
Kaname Uno ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Large Scale ◽  
Negative Impact ◽  
Early Stage ◽  
Stage Iv ◽  
Therapeutic Interventions ◽  
Limited Information ◽  
Mucinous Histology ◽  
Staging Surgery ◽  
The Impact

Abstract Positive ascites cytology is a strong prognostic factor in patients with early-stage ovarian cancer (OvCa). However, limited information is currently available on the impact of positive ascites cytology on patient prognoses under each clinical background. We herein investigated the comprehensive impact of positive ascites cytology on patients with epithelial OvCa and the effectiveness of additional therapeutic interventions, including complete staging surgery and chemotherapy. Among 4,730 patients with malignant ovarian neoplasms, retrospectively identified in multiple institutions, 1,906 with epithelial OvCa were included. In the investigation of its effects on clinical factors using a multivariate analysis, positive ascitic cytology correlated with a poor prognosis. Positive ascites cytology had a significantly worse prognosis than those with negative cytology in all subgroups except for patients with stage IV tumors and a mucinous histology. Chemotherapy may be effective in reducing the negative impact of positive ascites cytology on the prognosis of patients in terms of progression-free and overall survivals, while complete staging surgery did not improve the prognosis of patients with positive ascites cytology. Collectively, our findings suggested that positive ascites cytology had a negative impact on the prognosis of patients with epithelial OvCa, but not those with stage IV tumors or a mucinous histology.

scholarly journals GproDIA enables data-independent acquisition glycoproteomics with comprehensive statistical control

2021 ◽  
Author(s):  
Yi Yang ◽  
Weiqian Cao ◽  
Guoquan Yan ◽  
Siyuan Kong ◽  
Mengxi Wu ◽  
...  
Keyword(s):  
Large Scale ◽  
Early Stage ◽  
Statistical Control ◽  
Serum Samples ◽  
Accurate Identification ◽  
Spectrum Prediction ◽  
Data Independent Acquisition ◽  
Stage Of Development ◽  
Spectral Libraries ◽  
Semi Empirical

AbstractLarge-scale profiling of intact glycopeptides is critical but challenging in glycoproteomics. Data independent acquisition (DIA) is an emerging technology with deep proteome coverage and accurate quantitative capability in proteomics studies, but is still in the early stage of development in the field of glycoproteomics. We propose GproDIA, a framework for the proteome-wide characterization of intact glycopeptides from DIA data with comprehensive statistical control by a 2-dimentional false discovery rate approach and a glycoform inference algorithm, enabling accurate identification of intact glycopeptides using wide isolation windows. We further adapt a semi-empirical spectrum prediction strategy to expand the coverage of spectral libraries of glycopeptides. We benchmark our method for N-glycopeptide profiling on DIA data of yeast and human serum samples, demonstrating that DIA with GproDIA outperforms the data dependent acquisition (DDA) based methods for glycoproteomics in terms of capacity and data completeness of identification, as well as accuracy and precision of quantification. We expect that this work can provide a powerful tool for glycoproteomic studies.

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