МНОГОУРОВНЕВОЕ ГИБРИДНОЕ УПРАВЛЕНИЕ ИНФРАСТУКТУРНИМИ ПРОГРАМАМИ

Анализ тенденций развития систем управления инфраструктурными программами показывает, что ключевыми факторами являются надежность реализации, эффективность при создании ценностей и экологическая гармонизация. При этом повышение уровня эффективности инфраструктурных программ являются стратегическими направлениями развития большинства стран мира. Ключевую роль в успешном решении насущных проблем инфраструктурных проектов и программ, включая удовлетворение определенных отраслей экономики с улучшением состояния окружающей среды, определять инновационные технологии, направленные на развитие «интеллектуальных» технологий. Проведенный анализ и проблем систем регионов, городов, поселков и потребителей определил актуальность и практическую значимость исследований, по реализации инфраструктурных проектов в условиях турбулентности, построения гибридной многоуровневой методологии управления инфраструктурными программами на основе конвергентного сбалансированного подхода. При этом выявлены проблемы и вызовы по внедрению инфраструктурных проектов и программ как драйверов развития. Построена холистическая модель решения проблем реализации инфраструктурных проектов и программ на основе многоуровневого дуального управления в пределах гибридных методологий, объединяющих разные по принципам управления модели. Проведенные экспериментальные исследования предложенных подходов, моделей и методов управления инфраструктурными программами подтвердили их адекватность и эффективность. Методология многоуровневого проактивного дуального управления инфраструктурными проектами на основе адаптивных технологий базируется на трех взаимосвязанных адаптивных системах: планирование и формирование, мониторинга и управления изменениями, и регламентирует формирование устойчивого к возмущениям в процессе управления, позволяет предотвращать существенному снижению качества управления и потере управляемости проектной деятельности

ЭРОЗИЯ КОМПЕТЕНЦИЙ ИННОВАЦИОННЫХ ПРОЕКТОВ ДИГИТАЛИЗАЦИИ

Рассмотрены структура и функции механизмов развития и эрозии (размывания) компетенций в инновационных проектах по внедрению информационно-коммуникационных технологий в дигитализации общества. Определены факторы развития и эрозии компетенций. Была построена модель оценки компетенций и компетенций для успешного внедрения информационных и коммуникационных технологий на примере программ управления проектами и оцифровки. Предлагаемая модель развития компетенций проектной команды по созданию и внедрению основана на балансе факторов развития компетенций инновационного проекта и их эрозии в процессе реализации. Изучение факторов развития и эрозии компетенций в управлении инновационными проектами по дигитализации позволяет адекватно реагировать на изменения в профиле компетенций инновационных проектов. В то же время анализ позволяет руководителю проекта формировать эффективные программы для приобретения определенных компетенций для членов команды и других заинтересованных сторон. Предложенная модель факторов развития и эрозии системы компетенций проверена на примерах, подтверждающих ее адекватность и эффективность. Эта модель развития и эрозии компетенций команды проекта по дигитализации основана на балансе факторов для развития компетенций инновационного проекта и их размывания в процессе реализации. Изучение факторов развития и размывания компетенций в управлении инновационными проектами позволяет нам адекватно реагировать на изменения в профиле компетенций инновационных проектов. В то же время анализ позволяет руководителю проекта формировать эффективные программы для приобретения определенных компетенций для членов команды и других заинтересованных сторон. Предложенная авторами модель факторов развития и размывания системы компетенций проверяется на примерах применения методологии Agile на уровне кафедры управления проектами Киевского национального университета строительства и архитектуры. Реализация подтвердила адекватность и эффективность модели и методов анализа развития и размывания компетенций и, как следствие, компетентности. В качестве направления для дальнейшего развития необходимо определить методы и алгоритмы активного реагирования Лидера на развитие, и эрозию компетенций, формируя соответствующие компетенции членов команды, обеспечивающие успех инновационных проектов

Mechanisms of management of Shipbuilding cluster systems

Zaporozhets, I. M. Mechanisms of management of Shipbuilding cluster systems / I. M. Zaporozhets, N. V. Fateev, B. Yu. Kozyr // Innovative development of the economy: global trends and national features : collective monograph / edited by J. Žukovskis, K. Shaposhnykov. – Lithuania : Publishing House “Baltija Publishing”, 2018. – P. 563–574.An effective tool for ensuring the competitiveness of shipbuilding enterprises is the application of a cluster approach. The shipbuilding cluster systems are functionally distributed logistics networks that evolve both nationally and internationally. The essence and features of the shipbuilding cluster systems in the work have been considered. The mechanisms of the organization of shipbuilding clusters are suggested as well as the indicators for evaluating the efficiency of their operation. The schemes of interaction of enterprises participating in the shipbuilding cluster have been developed. In this case, models and means of logistic management are used. For the logistics center, the functions of logistics support and the tasks of creating and maintaining a common information space of the cluster system are defined. The analysis of the system of planning and accounting units in shipbuilding is carried out, the scheme of decomposition for the organizational structure of the cluster is substantiated. It was proposed to use the corridor-scale network diagrams when planning work in a cluster. The scheme of interaction of the system of budgets and business processes at different levels of decomposition is substantiated

Carbon dioxide, hydrographic, and chemical data obtained during the R/V Meteor Cruise 18/1 in the North Atlantic Ocean (WOCE Section A1E, September 1991)

The North Atlantic Ocean is characterized by an intense meridional circulation cell carrying near-surface waters of tropical and subtropical origin northward and deep waters of arctic and subarctic origin southward. The related {open_quotes}overturning{close_quotes} is driven by the sinking of water masses at high latitudes. The overturning rate and thus the intensity of the meridional transports of mass, heat, and salt, is an important control parameter for the modeling of the ocean`s role in climate. The Research Vessel (R/V) Meteor Cruise 18/1 was one in a series of cruises in the North Atlantic that started in March 1991 and continued until 1995. This data documentation discusses the procedures and methods used to measure total carbon dioxide (TCO{sub 2}) and total alkalinity (TALK) at hydrographic stations, as well as underway partial pressure of CO{sub 2} (pCO{sub 2}) measured during the RIV Meteor Cruise 18/1 in the North Atlantic Ocean (Section A1E). Conducted as part of the World Ocean Circulation Experiment (WOCE) and the German North Atlantic Overturning Rate Determination expedition, the cruise began in Reykjavik, Iceland, on September 2, 1991, and ended after 24 days at sea in Hamburg, Germany, on September 25, 1991. WOCE Zonal Section AlE began at 60{degrees}N and 42{degrees}30{prime} W (southeast of Greenland) and continued southeast with a closely spaced series of hydrocasts to 52{degrees}20{prime} N and 14{degrees}15{prime} W (Porcupine Shelves). Measurements made along WOCE Section AlE included pressure, temperature, salinity, and oxygen measured by a conductivity, temperature and depth (CTD) sensor; bottle salinity; oxygen; phosphate; nitrate; nitrite; silicate; TCO{sub 2}; TALK; and underway pCO{sub 2}. A total of 61 CTD casts were made, including 59 bottle casts and 2 calibration stations

Overview of the Nordic Seas CARINA data and salinity measurements

Water column data of carbon and carbon relevant hydrographic and hydrochemical parameters from 188 previously non-publicly available cruises in the Arctic, Atlantic, and Southern Ocean have been retrieved and merged into a new database: CARINA (CARbon IN the Atlantic). The data have been subject to rigorous quality control (QC) in order to ensure highest possible quality and consistency. The data for most of the parameters included were examined in order to quantify systematic biases in the reported values, i.e. secondary quality control. Significant biases have been corrected for in the data products, i.e. the three merged files with measured, calculated and interpolated values for each of the three CARINA regions; the Arctic Mediterranean Seas (AMS), the Atlantic (ATL) and the Southern Ocean (SO). With the adjustments the CARINA database is consistent both internally as well as with GLODAP (Key et al., 2004) and is suitable for accurate assessments of, for example, oceanic carbon inventories and uptake rates and for model validation. The Arctic Mediterranean Seas include the Arctic Ocean and the Nordic Seas, and the quality control was carried out separately in these two areas. This contribution provides an overview of the CARINA data from the Nordic Seas and summarises the findings of the QC of the salinity data. One cruise had salinity data that were of questionable quality, and these have been removed from the data product. An evaluation of the consistency of the quality controlled salinity data suggests that they are consistent to at least ±0.005

Autonomous Seawater \u3ci\u3ep\u3c/i\u3eCO\u3csub\u3e2\u3c/sub\u3e and pH Time Series From 40 Surface Buoys and the Emergence of Anthropogenic Trends

Ship-based time series, some now approaching over 3 decades long, are critical climate records that have dramatically improved our ability to characterize natural and anthropogenic drivers of ocean carbon dioxide (CO2) uptake and biogeochemical processes. Advancements in autonomous marine carbon sensors and technologies over the last 2 decades have led to the expansion of observations at fixed time series sites, thereby improving the capability of characterizing sub-seasonal variability in the ocean. Here , we present a data product of 40 individual autonomous moored surface ocean pCO2 (partial pressure of CO2) time series established between 2004 and 2013, 17 also include autonomous pH measurements. These time series characterie a wide range of surface ocean carbonate conditions in diffferent oceanic (17 sites), coastal (13 sites), and coral reef (10 sites) regimes. A time of trend emergence (ToE) methodology applied ot the time series that exhibit well-constrained daily to interannual variability and an estimate of decadal variability indicates that the length of sustained observations necessary to detect statistically significant anthropogenic trends varies by marine environment. The ToE estisites, and 9 to 22 years at the coral reef sites. Only two open ocean pCO2 and pH range from 8 to 15 years at the open ocean sites, 16 to 41 years at the coastal sites, and 9 to 22 years at the coral reef sites. Only two open ocean pCO2 time series, Woods Hole Oceanographic Institution Hawaii Ocean Time-series Station (WHOTS) in the subtropical North Pacific and Stratus n the South Pacific gyre, have been deployed longer than the estimated trend detection time and, for these, deseasoned monthly means show estimated anthropogenic trends of 1.9 ± 0.3 and 1.6 ± 0.3 μatm yr-1, respectively. In the future, it is possible that updates to this product will allow for the estimation of anthropogenic trends at more sites; however, the product currently provides a valuable tool in an accessible format for evaluating climatology and natural variability of surface ocean carbonate chemistry in a variety of regions. Data are available at https://doi.org/10.7289/V5DB8043 and https://www.nodc.noaa.gov/ocads/oceans/Moorings/ndp097.html (Sutton et al., 2018)

Antibody Responses against Xenotropic Murine Leukemia Virus-Related Virus Envelope in a Murine Model

Xenotropic murine leukemia virus-related virus (XMRV) was recently discovered to be the first human gammaretrovirus that is associated with chronic fatigue syndrome and prostate cancer (PC). Although a mechanism for XMRV carcinogenesis is yet to be established, this virus belongs to the family of gammaretroviruses well known for their ability to induce cancer in the infected hosts. Since its original identification XMRV has been detected in several independent investigations; however, at this time significant controversy remains regarding reports of XMRV detection/prevalence in other cohorts and cell type/tissue distribution. The potential risk of human infection, coupled with the lack of knowledge about the basic biology of XMRV, warrants further research, including investigation of adaptive immune responses. To study immunogenicity in vivo, we vaccinated mice with a combination of recombinant vectors expressing codon-optimized sequences of XMRV gag and env genes and virus-like particles (VLP) that had the size and morphology of live infectious XMRV.Immunization elicited Env-specific binding and neutralizing antibodies (NAb) against XMRV in mice. The peak titers for ELISA-binding antibodies and NAb were 1:1024 and 1:464, respectively; however, high ELISA-binding and NAb titers were not sustained and persisted for less than three weeks after immunizations.Vaccine-induced XMRV Env antibody titers were transiently high, but their duration was short. The relatively rapid diminution in antibody levels may in part explain the differing prevalences reported for XMRV in various prostate cancer and chronic fatigue syndrome cohorts. The low level of immunogenicity observed in the present study may be characteristic of a natural XMRV infection in humans

An update to the Surface Ocean CO₂ Atlas (SOCAT version 2)

The Surface Ocean CO₂ Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO₂ (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO₂ values) and extended data coverage (from 1968–2007 to 1968–2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longerterm variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models

An update to the Surface Ocean CO2 Atlas (SOCAT version 2)

The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO(2) (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO(2) values) and extended data coverage (from 1968-2007 to 1968-2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longer-term variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models.</p

GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product

The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2022 is an update of the previous version, GLODAPv2.2021 (Lauvset et al., 2021). The major changes are as follows: data from 96 new cruises were added, data coverage was extended until 2021, and for the first time we performed secondary quality control on all sulphur hexafluoride (SF6) data. In addition, a number of changes were made to data included in GLODAPv2.2021. These changes affect specifically the SF6 data, which are now subjected to secondary quality control, and carbon data measured onboard the RV Knorr in the Indian Ocean in 1994–1995 which are now adjusted using CRM measurements made at the time. GLODAPv2.2022 includes measurements from almost 1.4 million water samples from the global oceans collected on 1085 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 96 new cruises were derived by comparing those data with the data from the 989 quality controlled cruises in the GLODAPv2.2021 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2) chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 μmol kg-1 in dissolved inorganic carbon, 4 μmol kg-1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments