Distributed Parameter State Estimation for the Gray–Scott Reaction-Diffusion Model

A constructive approach is provided for the reconstruction of stationary and non-stationary patterns in the one-dimensional Gray-Scott model, utilizing measurements of the system state at a finite number of locations. Relations between the parameters of the model and the density of the sensor locations are derived that ensure the exponential convergence of the estimated state to the original one. The designed observer is capable of tracking a variety of complex spatiotemporal behaviors and self-replicating patterns. The theoretical findings are illustrated in particular numerical case studies. The results of the paper can be used for the synchronization analysis of the master–slave configuration of two identical Gray–Scott models coupled via a finite number of spatial points and can also be exploited for the purposes of feedback control applications in which the complete state information is required

Transitioning Traditional Aviation Weather Instruction to a Space Launch Weather Support Course: Operational Considerations

Weather support to space launch operations, while similar to that for traditional aviation, presents significant additional challenges. Embry-Riddle Aeronautical University (ERAU) currently offers three courses in traditional aviation meteorology, two needed by aeronautical science students seeking private pilot through airline transport pilot (ATP) FAA certifications, and one to provide meteorology majors with operational experience supporting an actual air race. However, with the advent of a new degree program in Commercial Space Operations (CSO), the need to modify and extend traditional aviation weather instruction to include space launch weather requirements has become increasingly important. While the traditional aviation meteorology coursework is beneficial, it does not cover the full-spectrum of weather impacts on space launch and suborbital space flight operations that both CSO and meteorology students will need. To address this challenge, ERAU (with guidance from the 45th Weather Squadron at Patrick Air Force Base) is working to create a new course focused on weather support to these operations, utilizing the new suborbital space flight simulator and lab housed in the Department of Applied Aviation Sciences. This presentation explores the operational considerations of transitioning traditional terrestrial aviation weather instruction to a suborbital space flight weather support course. These considerations include: more stringent spacecraft and system weather sensitivities, triggered lightning, vertical wind-shear profile analysis, attention to atmospheric conditions above the troposphere, and space weather impacts

Beyond individual, population, and community: Considering information, cell number, and energy flux as fundamental dimensions of life across scales

We suggest rethinking ecology as a set of continuous, interconnected dynamics and spatial networks that would represent an alternative framework to the traditional organizational levels—cell, organism, population, community, and ecosystem. We draw on unifying biological theories—information theory, cell theory, and metabolic theories—to propose a continuous space for living systems that avoids epistemological constraints imposed by a priori assumptions of discrete levels of biological organization. The discrete levels of organization that ecologists have traditionally envisioned can be viewed instead as coarse-grained, localized groupings within continuous dimensions of information (I), cell number (C), and energy flux (E). Moving from levels of organization to emergent properties of information, cells, and energy flux allows us to illustrate how diverse ecological and evolutionary phenomena—such as allometric and diversity-related scaling patterns, predator-prey dynamics, evolutionary trajectories, and alternative stable states—can be represented within the same continuum. We suggest that there may be structure within this information-cells-energetic flux (ICE) framework that unifies ecology from the beginning of life to the present and provides a useful lens through which patterns and processes in nature can be viewed

Observer design for a nonlinear heat equation: Application to semiconductor wafer processing

In this paper, the problem of observer design for a class of 1D nonlinear heat equations with pointwise in-domain temperature measurements is addressed. A pointwise measurement injection observer is designed and the robust convergence of its estimation error in presence of bounded distributed perturbations is established by verifying input-to-state stability. The obtained convergence conditions express the underlying interplay between heat conduction and radiation and include specific dependencies on the sensor locations which are the main degrees of freedom in the design approach. The theoretical results are experimentally validated on a semiconductor wafer processing unit

Broadening Traditional Aviation Meteorology Education to Support Spaceflight Operations

The purpose of this paper is to examine the expansion of traditional aviation meteorology education necessary to support the growing commercial space-operations industry. While spaceflight meteorological considerations do overlap with those of traditional aviation operations, there are notable differences schools must address for appropriate education and training of both meteorologists and operators. These include knowledge of increased weather sensitivities, space-weather impacts, triggered lightning, triboelectrification, and high-resolution vertical wind-profile analyses. An added challenge in the educational process is the more limited amount of publicly available weather and space-weather products necessary to support spaceflight education. Furthermore, in comparison with traditional aviation meteorology, real-world experiential learning opportunities for students to support actual space-launch and on-orbit operations are limited. However, flight simulations employing historical meteorological and space-weather data may help provide the basic educational tools necessary to overcome these limitations and better prepare students pursuing careers in spaceflight, either as operators or as meteorologists

Управление дебиторской задолженностью и организация ее учета (на примере АО «Алмалыкский горно-металлургический комбинат»)

Объект исследования: АО «Алмалыкский горно-металлургический комбинат». Цель работы: изучить и сравнить систему бухгалтерского учета дебиторской задолженности в России и Узбекистане; рассмотреть особенности учета и управления дебиторской задолженностью на АО «Алмалыкский ГМК». Экономическая значимость работы обусловлена тем, что вопросы эффективного учета и управления дебиторской задолженностью, направленные на увеличение объема реализации за счет расширения продажи продукции в кредит надежным клиентам и обеспечение своевременного возврата долга. Правильное раскрытие и классификация дебиторской задолженности, необходимы для точной оценки финансового состояния предприятия.The object of study: JSC "Almalyk Mining and Metallurgical Complex ". Objective: To study and compare the system of accounting of receivables in Russia and Uzbekistan; consider the characteristics of accounting and management of accounts receivable at the JSC "Almalyk MMC". The economic significance of the work due to the fact that the issues of effective accounting and receivables management aimed at increasing the volume of sales by expanding sales of products on credit to customers reliable and ensuring timely repayment of debt. Proper disclosure and classification of receivables necessary to accurately assess the financial condition of the company. This requires timely and accurate reflection of the accounts receivable in the accounts the enterprise

miRNATissueAtlas2: an update to the human miRNA tissue atlas

Small non-coding RNAs (sncRNAs) are pervasive regulators of physiological and pathological processes. We previously developed the human miRNA Tissue Atlas, detailing the expression of miRNAs across organs in the human body. Here, we present an updated resource containing sequencing data of 188 tissue samples comprising 21 organ types retrieved from six humans. Sampling the organs from the same bodies minimizes intra-individual variability and facilitates the making of a precise highresolution body map of the non-coding transcriptome. The data allow shedding light on the organ- and organ system-specificity of piwi-interacting RNAs (piRNAs), transfer RNAs (tRNAs), microRNAs (miRNAs) and other non-coding RNAs. As use case of our resource, we describe the identification of highly specific ncRNAs in different organs. The update also contains 58 samples from six tissues of the Tabula Muris collection, allowing to check if the tissue specificity is evolutionary conserved between Homo sapiens and Mus musculus. The updated resource of 87 252 non-coding RNAs from nine noncoding RNA classes for all organs and organ systems is available online without any restrictions (https: //www.ccb.uni-saarland.de/tissueatlas2)

Bridging the gap between omics and earth system science to better understand how environmental change impacts marine microbes

The advent of genomic-, transcriptomic- and proteomic-based approaches has revolutionized our ability to describe marine microbial communities, including biogeography, metabolic potential and diversity, mechanisms of adaptation, and phylogeny and evolutionary history. New interdisciplinary approaches are needed to move from this descriptive level to improved quantitative, process-level understanding of the roles of marine microbes in biogeochemical cycles and of the impact of environmental change on the marine microbial ecosystem. Linking studies at levels from the genome to the organism, to ecological strategies and organism and ecosystem response, requires new modelling approaches. Key to this will be a fundamental shift in modelling scale that represents micro-organisms from the level of their macromolecular components. This will enable contact with omics data sets and allow acclimation and adaptive response at the phenotype level (i.e. traits) to be simulated as a combination of fitness maximization and evolutionary constraints. This way forward will build on ecological approaches that identify key organism traits and systems biology approaches that integrate traditional physiological measurements with new insights from omics. It will rely on developing an improved understanding of ecophysiology to understand quantitatively environmental controls on microbial growth strategies. It will also incorporate results from experimental evolution studies in the representation of adaptation. The resulting ecosystem-level models can then evaluate our level of understanding of controls on ecosystem structure and function, highlight major gaps in understanding and help prioritize areas for future research programs. Ultimately, this grand synthesis should improve predictive capability of the ecosystem response to multiple environmental drivers