196 research outputs found
Randomizing Intrinsic Conformational Biases by Nearest Neighbor Interactions between Unlike Residues
Реінжиніринг бізнес-процесів в ланцюгах обслуговування клієнтів
Робота публікується згідно наказу ректора від 27.05.2021 р. №311/од "Про розміщення кваліфікаційних робіт вищої освіти в репозитарії НАУ" . Керівник проекту: доцент, к.е.н. Савченко Лідія ВолодимирівнаReengineering is a complete rethinking and complete redesign of all business processes of an enterprise to maximize efficiency in all areas of the enterprise, from the production and economic sphere to working with regulatory documents.
Today, all over the world, the "driving force" of the enterprise is business processes. A detailed description of internal business processes helps a company to be efficient and competitive. Any business began with a simple one to clearly understand the strategy of the enterprise, thereby helping employees, money turnover, or changing the type of activity, the enterprise (company) needs to optimize its business processes.
The difference between optimization of business processes and reengineering is that during optimization, all changes are quickly communicated to the executive, and reengineering is a different system of rules that is developed over a long period of time, after which it is tested, and then implemented in the enterprise.
There is a reengineering of the "revolutionary" business process. In the first case, the integration of business processes is optimized, without making significant changes in the functioning of the enterprise. In the second case, all business processes are redesigned, and the organization is completely reoriented to a new business area. In general, there are two main types that "evolutionary" reengineering solves such problems as:.
– Creation of networks for emergency conditions;
– Centralization of information flows;
– Separation of management functions and creation of a network of task forces;
– Analysis of various situations and teamwork;
– Combining strategy coordination from the center or decentralized decision making;
– Enterprise restructuring.Реінжиніринг – це повне переосмислення та повне перепроектування всіх бізнес-процесів підприємства для максимальної ефективності в усіх сферах діяльності підприємства, від виробничо-економічної сфери до роботи з нормативними документами.
Сьогодні в усьому світі «рушійною силою» підприємства є бізнес-процеси. Детальний опис внутрішніх бізнес-процесів допомагає компанії бути ефективною та конкурентоспроможною. Будь-який бізнес починався з простого, щоб чітко зрозуміти стратегію підприємства, тим самим допомагаючи співробітникам, обороту грошей або змінюючи вид діяльності, підприємству (компанії) необхідно оптимізувати свої бізнес-процеси.
Відмінність оптимізації бізнес-процесів від реінжинірингу полягає в тому, що під час оптимізації всі зміни швидко доводяться до керівництва, а реінжиніринг – це інша система правил, яка розробляється протягом тривалого періоду часу, після чого тестується, а потім впроваджується. на підприємстві.
Відбувається реінжиніринг «революційного» бізнес-процесу. У першому випадку оптимізується інтеграція бізнес-процесів, не вносячи суттєвих змін у функціонування підприємства. У другому випадку всі бізнес-процеси перепроектуються, а організація повністю переорієнтована на нову бізнес-сферу. Загалом виділяють два основних типи, які «еволюційна» реінжиніринг вирішує такі проблеми, як:.
– Створення мереж для аварійних ситуацій;
– Централізація інформаційних потоків;
– Розмежування функцій управління та створення мережі робочих груп;
– Аналіз різноманітних ситуацій та командна робота;
– поєднання координації стратегії з центру або децентралізованого прийняття рішень;
– Реструктуризація підприємства
Metformin Uptake and Translocation in Chickpeas: Determination Using Liquid Chromatography−Mass Spectrometry
Multiple chronic conditions (MCCs) such as diabetes, hypertension, heart disease, arthritis, asthma, and common respiratory problems are prevalent in over one-fourth of Americans, and separate drugs are prescribed to manage each of the diseases. The nutritive crop seeds loaded with multiple drugs could be a cheap and sustainable alternative to drugs produced by pharmaceutical companies. Our long-term goal is to produce chickpea seeds containing comparable dosages of multiple drugs regularly prescribed for managing MCC. In this work, we conducted experiments to understand the uptake and translocation of metformin into the tissues of chickpea to demonstrate the applicability of LC–HR-ToF-MS in determining metformin concentration, and to investigate responses of increased dosage of metformin and it’s accumulation into the chickpea seed. We treated the chickpea plants with 100 and 500 mg/L metformin chloride and analyzed its concentration in the leaf, stem, and seeds. We observed that metformin was successfully uptaken by chickpeas plant and translocated to stem, leaf, and seeds in both treatments. We also observed that the metformin concentration is responsive and as high as 349 times increase in seed when the dosage was increased from 100 to 500 mg/L
Interplay between pulsations and mass loss in the blue supergiant 55 Cygnus = HD 198478
Blue supergiant stars are known to display photometric and spectroscopic
variability that is suggested to be linked to stellar pulsations. Pulsational
activity in massive stars strongly depends on the star's evolutionary stage and
is assumed to be connected with mass-loss episodes, the appearance of
macroturbulent line broadening, and the formation of clumps in the wind. To
investigate a possible interplay between pulsations and mass-loss, we carried
out an observational campaign of the supergiant 55 Cyg over a period of five
years to search for photospheric activity and cyclic mass-loss variability in
the stellar wind. We modeled the H, He I, Si II and Si III lines using the
nonlocal thermal equilibrium atmosphere code FASTWIND and derived the
photospheric and wind parameters. In addition, we searched for variability in
the intensity and radial velocity of photospheric lines and performed a moment
analysis of the line profiles to derive frequencies and amplitudes of the
variations. The Halpha line varies with time in both intensity and shape,
displaying various types of profiles: P Cygni, pure emission, almost complete
absence, and double or multiple peaked. The star undergoes episodes of variable
mass-loss rates that change by a factor of 1.7-2 on different timescales. We
also observe changes in the ionization rate of Si II and determine a
multiperiodic oscillation in the He I absorption lines, with periods ranging
from a few hours to 22.5 days. We interpret the photospheric line variations in
terms of oscillations in p-, g-, and strange modes. We suggest that these
pulsations can lead to phases of enhanced mass loss. Furthermore, they can
mislead the determination of the stellar rotation. We classify the star as a
post-red supergiant, belonging to the group of alpha Cyg variables.Comment: 20 pages, 18 figures, 3 tables, accepted to Astronomy & Astrophysic
A monograph of Aspergillus section Candidi
Aspergillus section Candidi encompasses white- or yellow-sporulating species mostly isolated from indoor and cave environments, food, feed,
clinical material, soil and dung. Their identification is non-trivial due to largely uniform morphology. This study aims to re-evaluate the species boundaries
in the section Candidi and present an overview of all existing species along with information on their ecology. For the analyses, we assembled a set of 113
strains with diverse origin. For the molecular analyses, we used DNA sequences of three house-keeping genes (benA, CaM and RPB2) and employed
species delimitation methods based on a multispecies coalescent model. Classical phylogenetic methods and genealogical concordance phylogenetic
species recognition (GCPSR) approaches were used for comparison. Phenotypic studies involved comparisons of macromorphology on four cultivation
media, seven micromorphological characters and growth at temperatures ranging from 10 to 45 °C. Based on the integrative approach comprising four
criteria (phylogenetic and phenotypic), all currently accepted species gained support, while two new species are proposed (A. magnus and A. tenebricus).
In addition, we proposed the new name A. neotritici to replace an invalidly described A. tritici. The revised section Candidi now encompasses nine species,
some of which manifest a high level of intraspecific genetic and/or phenotypic variability (e.g., A. subalbidus and A. campestris) while others are more uniform
(e.g., A. candidus or A. pragensis). The growth rates on different media and at different temperatures, colony colours, production of soluble pigments, stipe
dimensions and vesicle diameters contributed the most to the phenotypic species differentiation.Czech Ministry of Health, the Charles University Research Centre program no. 204069, Czech Academy of Sciences Long-term Research Development Project, the project of Charles University Grant Agency, the Japan Society for the Promotion of Science Postdoctoral Fellowships for Research in Japan, the Grant-in-aid for JSPS research fellow and the Future Leaders - African Independent Research fellowship programme.https://www.journals.elsevier.com/studies-in-mycologyam2023BiochemistryGeneticsMicrobiology and Plant Patholog
Modelling the COVID-19 pandemic in context : An international participatory approach
Funding RA is funded by the Bill and Melinda Gates Foundation (OPP1193472). LW is funded by the Li Ka Shing Foundation. CF is funded by grant #2017/26770-8, São Paulo Research Foundation (FAPESP). The CoMo Consortium has support from the Oxford University COVID-19 Research Response Fund (ref: 0009280). Scientific writing assistance and editorial support was provided by Adam Bodley, according to Good Publication Practice guidelines.Peer reviewedPublisher PD
Potential health and economic impacts of dexamethasone treatment for patients with COVID-19
Acknowledgements We thank all members of the COVID-19 International Modelling Consortium and their collaborative partners. This work was supported by the COVID-19 Research Response Fund, managed by the Medical Sciences Division, University of Oxford. L.J.W. is supported by the Li Ka Shing Foundation. R.A. acknowledges funding from the Bill and Melinda Gates Foundation (OPP1193472).Peer reviewedPublisher PD
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