The software to conduct comparative analysis of dynamic series of medical statistical data.

The software was designed to process and conduct comparative analysis of Big medical statistical data. This software is easy to use. It allows to conduct the analysis of medical statistical indexes in dynamics, gives a fair assessment of the time-series tendencies, helps to compare time-series of the studied indexes and presents graphic display of the information. The software can be used by health-care institutions, high education institutions, health-related scientific research organizations, physical culture organizations and institutions of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing of the Russian Federation.

Intersectional inequalities in science

The US scientific workforce is primarily composed of White men. Studies have demonstrated the systemic barriers preventing women and other minoritized populations from gaining entry to science; few, however, have taken an intersectional perspective and examined the consequences of these inequalities on scientific knowledge. We provide a large-scale bibliometric analysis of the relationship between intersectional identities, topics, and scientific impact. We find homophily between identities and topic, suggesting a relationship between diversity in the scientific workforce and expansion of the knowledge base. However, topic selection comes at a cost to minoritized individuals for whom we observe both between- and within-topic citation disadvantages. To enhance the robustness of science, research organizations should provide adequate resources to historically underfunded research areas while simultaneously providing access for minoritized individuals into high-prestige networks and topics.

International economy: deepening and expanding research potential in Ukraine

The topical issues of the development of the research potential of Ukraine in the field of international economics , capable of creating scientific support for the foreign economic activity of entrepreneurial structures and government organizations in the context of world and European integration, have been investigated. The creation of the infrastructure of research organizations specializing in the international economics has been substantiated, in particular, the feasibility of creating research institutes in the USA and Canada, Europe, and the Center for International Agricultural Business. The article considers the expediency of conducting research on the issues of cooperation with interstate integration associations of countries, including the EU, ASEAN, TPP, APEC, BRICS, for the implementation of the country's foreign economic policy. A special place in the system of international economics research should be occupied by the problems of Industry 4.0 and the leadership of Ukrainian IT companies in the system of global economic competition. The state of the staffing of research activities in international economics is analyzed and proposals for training of highly qualified specialists in international economics in large industrial centers: Kharkov, L’viv. Dnieper, Odessa and Zaporizhia are formulated.

Problems and directions of electronic commerce development in the BRICS countries

E-commerce issues and ways of digital cooperation between the BRICS countries are examined. The BRICS countries, excluding China, were not able to occupy the highest positions in the innovation ratings published by Western research organizations, but they have high development potential. The BRICS countries and their programs for development of the digital economy and trade are studied. The Russian Federation pays great attention to digital cooperation due to existing difficulties in geo-economic situation. The development of e-commerce is a key element in the digitalization of economy. This study examines the stages of development of the digital economy and current state of BRICS e-commerce, as well as highlights its problem areas. It overviews modern e-commerce tools, such as electronic payments, blockchain, chat bots, internet of things, voice assistants, drones, etc. Digital cooperation should be developed precisely in these areas. However, the fact that Russia lacks applied experience in the field of commercialization has become a significant problem. In this regard, the main purpose of the study is to identify areas and ways of digital cooperation for BRICS governments and individual companies.

Cross-Cutting Lessons Learned During the COVID-19 Pandemic—the Walter Reed Army Institute of Research Experience

ABSTRACT Introduction At the start of the coronavirus disease 2019 (COVID-19) pandemic, Walter Reed Army Institute of Research (WRAIR) mobilized to rapidly conduct medical research to detect, prevent, and treat the disease in order to minimize the impact of the pandemic on the health and readiness of U.S. Forces. WRAIR’s major efforts included the development of the Department of Defense (DoD) COVID-19 vaccine candidate, researching novel drug therapies and monoclonal antibodies, refining and scaling-up diagnostic capabilities, evaluating the impact of viral diversity, assessing the behavioral health of Soldiers, supporting U.S. DoD operational forces overseas, and providing myriad assistance to allied nations. WRAIR personnel have also filled key roles within the whole of government response to the pandemic. WRAIR had to overcome major pandemic-related operational challenges in order to quickly execute a multimillion-dollar portfolio of COVID-19 research. Consequently, the organization learned lessons that could benefit other leaders of medical research organizations preparing for the next pandemic. Materials and Methods We identified lessons learned using a qualitative thematic analysis of 76 observation/recommendation pairs from across the organization. These lessons learned were organized under the Army’s four pillars of readiness (staffing, training, equipping, and leadership development). To this framework, we added organizing and leading to best capture our experiences within the context of pandemic response. Results The major lessons learned for organizing were: (1) the pandemic created a need to rapidly pivot to new scientific priorities; (2) necessary health and safety precautions disrupted the flow of normal science and put programs at risk of missing milestones; (3) relationships with partners and allies facilitated medical diplomacy and advancement of U.S. national military and economic goals; and (4) a successful response required interoperability within and across multiple organizations. For equipping: (1) existing infrastructure lacked sufficient capacity and technical capability to allow immediate countermeasure development; (2) critical supply chains were strained; and (3) critical information system function and capacity were suddenly insufficient under maximum remote work. For staffing and training: (1) successful telework required rapid shifts in management, engagement, and accountability methods; and (2) organizational policies and processes had to adapt quickly to support remote staffing. For leading and leadership development (1) engaged, hopeful, and empathetic leadership made a difference; and (2) the workforce benefitted from concerted leadership communication that created a shared understanding of shifting priorities as well as new processes and procedures. Conclusions An effective pandemic response requires comprehensive institutional preparedness that facilitates flexibility and surge capacity. The single most important action leaders of medical research organizations can take to prepare for the next pandemic is to develop a quick-reaction force that would activate under prespecified criteria to manage reprioritization of all science and support activities to address pandemic response priorities at the velocity of relevance.

Preface

The 2021 10th International Conference “Forest ecosystems in the conditions of climate change: biological productivity and remote sensing” (FORECO) was held 28-29 September 2021 in the Zoom format. Since 2010 FORECO has become an annual international conference on the application of remote sensing technologies for monitoring and assessment of forests. The conference is aimed at promoting the exchange of new research ideas and practices on the use of remote sensing in estimation of forest cover and tackling the issues of climate change. The Conference was organized by the staff of Centre of Sustainable Forest Management and Remote Sensing of the Volga State University of Technology (Yoshkar-Ola, Russia). Meeting website: https://feucc.volgatech.net/ Number of participants: 78 Countries represented: Austria, Finland, Greece, Russia, China, South Africa, Vietnam, Estonia, Italy, Australia. Sponsors: International Union of Forestry Research Organizations, SUFOGIS ERASMUS+ project of the European Union, GEMOECO BRICS project. The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Interpreting mountain treelines in a changing world

Though the highest treelines of the northern hemisphere occur in the Himalaya, the terms treeline and timberline have until very recently been missing from the literature on this region. This book, largely based on research in the Indian Himalaya, attempts to fill the gap on Himalayan treelines. It covers ecology, tree water relations, temperature lapse rate, dendrochronology, tree phenology, distribution patterns, and spatial dimensions of climate warming over the decades. The project, led by the Central Himalayan Environment Association (CHEA) involved 6 research organizations, 11 investigators, and 20 research scholars. Treeline research is providing new and valuable insights into how biota respond to climate change, the relationship between tree-ring growth and climate change in various seasons, the role of growth in relation to stress, seasonal variation in temperature lapse rate and the impact of elevation dependent warming, tree water relations and water conduits in trees, effects of early snow melt, endemism, and future changes.

A NETNOGRAPHY EXAMINATION OF TRIPADVISOR REVIEWS: A CASE STUDY OF THE ST REGIS HOTEL KUALA LUMPUR

There has been a growing reliance on consumer generated content as a source of knowledge for hospitality product decision-making. People post their views, ratings, and reviews of products and services on such platforms, and companies and research organizations are interested in analyzing and extracting all of the comments. It is critical for hotels to take advantage of online customer review information in order to better understand their customers and enhance hotel efficiency. However, analyzing guest reviews is challenging as it contains abundance of data. Using The St Regis Kuala Lumpur as a case study, the objective of the paper is to profile the hotel online reviews using a Netnography approach, identify the hotel attributes that guest comment based on the hotel online reviews and examine the guest satisfaction attitude based on the hotel online reviews. A total of 388 reviews from TripAdvisor were collected. The findings revealed that most of the hotel guests who left comments were international tourists, and couples. Many of whom left excellent ratings for the hotel. The findings show there are nine attributes that are frequently mentioned namely, amenities, location, price, service, cleanliness, food and beverages, hotel and room environment. The results also show that guests left both positive and negative reviews in few common categories such as hotel cleanliness, hotel environment and amenities. Among all the attributes mentioned, satisfied guests tended to leave positive comments for things like hotel cleanliness, hotel and room environment, while dissatisfied guests emphasised the amenities or the lack thereof. The findings of this study make several theoretical and managerial inferences with regards to identifying hotel attributes that contribute to guest satisfaction and improves the understanding of what satisfies and dissatisfies guests from the comments left by the guests on TripAdvisor. The paper concludes with limitations and suggests future research.

A comprehensive analysis of code and data availability in biomedical research

Modern data-driven research increasingly depends on quantitative analysis, yet effectivemechanisms ensuring data and analysis transparency and reproducibility are yet to be developedand adopted widely. The importance and benefits of sharing research products has beenrecognized widely by the scientific community. In biomedical research, it is not only imperativeto publish a detailed description of the study design, methodology, results and interpretation, butthere is a pressing need to make all the research products publicly available, shareable, welldocumented to increase transparency and reproducibility. Current efforts in sharing researchproducts mostly rely on individual researchers and widely but variably enforced by theseindividuals and research organizations. However, an increasing body of evidence in recent yearsalso points to a growing problem of reproducibility across scientific disciplines, i.e. publishedresults often contain analyses that are non replicated due to lack of documentation, code anddata required to reproduce the analysis. Our results indicate that only 36% of the scientificmanuscripts published in prominent biomedical journals share raw data and 9% of the papersshare code. We hope that our analysis informs and exhorts the biomedical community to designeffective strategies to be widely adopted by the researchers to improve the current scenario oftransparency and reproducibility of data-driven biomedical research.

A comprehensive analysis of code and data availability in biomedical research

Modern data-driven research increasingly depends on quantitative analysis, yet effectivemechanisms ensuring data and analysis transparency and reproducibility are yet to be developedand adopted widely. The importance and benefits of sharing research products has beenrecognized widely by the scientific community. In biomedical research, it is not only imperativeto publish a detailed description of the study design, methodology, results and interpretation, butthere is a pressing need to make all the research products publicly available, shareable, welldocumented to increase transparency and reproducibility. Current efforts in sharing researchproducts mostly rely on individual researchers and widely but variably enforced by theseindividuals and research organizations. However, an increasing body of evidence in recent yearsalso points to a growing problem of reproducibility across scientific disciplines, i.e. publishedresults often contain analyses that are non replicated due to lack of documentation, code anddata required to reproduce the analysis. Our results indicate that only 36% of the scientificmanuscripts published in prominent biomedical journals share raw data and 9% of the papersshare code. We hope that our analysis informs and exhorts the biomedical community to designeffective strategies to be widely adopted by the researchers to improve the current scenario oftransparency and reproducibility of data-driven biomedical research.