Relevant bibliographies by topics / Dynamic indicator

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Academic literature on the topic 'Dynamic indicator'

Author: Grafiati
Published: 30 May 2022
Last updated: 19 July 2025

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Journal articles on the topic "Dynamic indicator"

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Shvaiba, D. "Dynamic regression models of forecasting indicators of social and economic security." Bulletin of Science and Practice 5, no. 1 (2019): 249–57. https://doi.org/10.5281/zenodo.2539763.

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Dynamic multi-factor regression models make it possible to take into account the dynamics of the proportions of the resulting indicator of socio-economic security and indicators in the retrospective period. The defects of such a model include the complexity of selecting indicators and determining their values in the lead period, the difficulty of forming multivariate static regression models, the development of predictive models of regression coefficients. Without paying attention to the statistical significance of multivariate models used to form a dynamic model, the values of regression coefficients over the years have all the chances to fluctuate significantly in the time series of these coefficients. The alternately decreasing or rising regression coefficients due to the modification of the impact of indicators on the dynamics of the values of the resulting indicator of socio-economic security often does not allow to create a forecast model.
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Bara, Vedro Yeremia, Gusti Haqiqiansyah, and Erwiantono. "KAJIAN DINAMIKA KELOMPOK PEMBUDIDAYA IKAN “ANUNTO” DALAM PENERAPAN MODEL TEKNOLOGI INTEGRATED MULTITROPHIC AQUACULTURE (IMTA) DI KOTA SAMARINDA." Jurnal Pembangunan Perikanan dan Agribisnis 2, no. 1 (2015): 39–47. http://dx.doi.org/10.30872/jppa.v2i1.180.

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The purposes of study were to describe : the characteristics of Anunto’s fish farmer members, the perceptions toward IMTA’s models, the role of extension officer, group dynamics and analyze the correlation of all variables.The sampling method applied was census method taken 28 respondents. The data process was based on Spearman rank correlation test and presented descriptively. The results showed that members of Anunto group of fish farmers were dominated by productive ages, middle level on formal education, low level on non formal education, low level on experiences about aquaculture business, primary income sources were not related to fisheries. Group member perceptions toward IMTA characteristics were in the medium level consisting indicators of compatibility, complexity, triability and observability, while the indicator of relative advantage was high.The influence of extension officer in developing the group dynamics were high as facilitators and educators, while the influence as advocator was in medium level. Statistical analysis showed that group dynamic characteristic variables on indicators : aquaculture’s experience, joining group’s experience and primary income source were correlated toward the group dynamic variables on indicator : group’s purpose, group’s structure, group’s cohesiveness, groups’s task function and hidden agenda. The variable of member perception of technology on indicators: complexity and trialibility were correlated toward the group dynamic’s variable on indicator: group’s purpose and groups’s task function. The variable of extension officer’s influence on indicator:: advocator was correlated toward the group dynamic’s variable on indicator : group’s atmosphere.
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Xu, Xing, Zhen Cui, and Jin Chao Zhang. "Plumpness Analysis of Indicator Diagram for Vehicle Damper." Applied Mechanics and Materials 415 (September 2013): 582–85. http://dx.doi.org/10.4028/www.scientific.net/amm.415.582.

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According to the indicator diagram of damper, the indicator diagram plumpness was proposed as a quantitative index, and its mathematical relationships with the sprung mass acceleration, suspension dynamic travel and tire dynamic load were built. Moreover, the influence of the total area on suspension characteristics was analyzed in time domain and frequency domain. The results show that, the increase of the indicator diagram plumpness can effectively restrain the variation of suspension dynamic travel and tire dynamic load, meanwhile, the body acceleration will be enlarged. Excessive indicator diagram plumpness also affects the dynamic tire load distribution in frequency domain, and it will decrease the driving security. Therefore, it should be reasonably selected from the performance indicators, which is based on the requirement of vehicle demand in the design process.
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Vanesa, Barrales-Molina, Bustinza Oscar, and Gutierrez Leopoldo. "Explaining the causes and effects of dynamic capabilities generation: a multiple indicator multiple case modeling approach." British Journal of Management 24, no. 4 (2013): 571–91. https://doi.org/10.1111/j.1467-8551.2012.00829.x.

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The purpose of this paper is to develop a multiple-indicator-multiple-cause (MIMIC) model to explain dynamic capabilities generation. We use one of the main common effects of dynamic capabilities (operational, structural and strategic flexibility) to design a measurement tool for dynamic capabilities generation. Based on this measurement tool, we test the influence of several factors identified in the specialized literature as potential causes that trigger and promote dynamic capabilities generation. We use data from a survey of 200 CEOs of Spanish firms to test the model. The results show that only organizations whose managers have perceived a high degree of environmental dynamism have generated dynamic capabilities. The results also show that knowledge codification and technical innovation are significantly related to dynamic capabilities generation. The paper attempts to shed light on current theoretical debates about dynamic capabilities generation and provides a practical guide to explain the origin and results of dynamic capabilities that have been tested empirically.
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SAHA, Lal, Til SARMA, and Purnima DIXIT. "Dynamic Lyapunov Indicator (DLI): A Perfect Indicator for Evolutionary System." Journal of Applied Computer Science & Mathematics 10, no. 2 (2016): 40–45. http://dx.doi.org/10.4316/jacsm.201602006.

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Tian, Zhi Gang, and Ming J. Zuo. "Spur Gear Crack Propagation Assessment Using Model-Based Analysis and Simulation." Key Engineering Materials 413-414 (June 2009): 299–304. http://dx.doi.org/10.4028/www.scientific.net/kem.413-414.299.

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Model-based gear dynamic analysis and simulation has been a promising way for developing e®ective gearbox vibration monitoring approaches. In this paper, based on the dynamic model of a one-stage gearbox with spur gears and one tooth crack, we investigate statistical indicators and the discrete wavelet transform (DWT) technique to identify e®ective and sensitive health indicators for re°ecting the crack propagation level. Our results suggest that the root mean square (RMS) indicator is a good statistical indicator to re°ect the crack propagation in the early stage; DWT can improve the sensitivity of the RMS indicator and the RMS indicator becomes more sensitive with the increase of the DWT level.
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Brocal Fernandez, Francisco, Alberto Sanchez-Lite, José Luis Fuentes-Bargues, Miguel Á. Sebastian, and Cristina González-Gaya. "Conceptual Classification of Leading Indicators for the Dynamic Analysis of Emerging Risks in Integrated Management Systems." Applied Sciences 11, no. 22 (2021): 10921. http://dx.doi.org/10.3390/app112210921.

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Companies that implement Integrated Management Systems (IMS) require approaches that optimize resources and results. In the case of IMS of a new or emerging nature, the use of dynamics risk analysis approaches and the integration of real-time monitoring data in the risk assessment process offers news perspectives. The objective of this work is to identify and classify leading indicators that facilitate the dynamic analyses of emerging risks in an IMS for quality, environment, and safety. For it, such indicator analysis has been based on a bibliographic analysis. Regarding results, firstly, a structure of indicators emerges configured of three categories organized in two levels. At the first level, it is established by the indicators of the IMS which can be integrated. The second level is configured of two categories of interrelated indicators, that is, process integrity indicators and occupational risks indicators. In turn, each of these three categories has two dimensions. The first dimension represents the direction of the indicator, leading or lagging indicator. The second dimension represents the risk nature, emerging or traditional risk. Secondly, a classification of the leading indicators is derived according to the categories of the indicators and the risk nature. This classification shows the direction of the leading indicators as well as qualitative graduation of the potential associated consequences. Said theoretical framework has been applied to a case study configured by a manufacturing process. Thus, a conceptual scheme has been developed that represents the first step towards a more in-depth and detailed development that allows the identification and definition of specific leading indicators within an IMS from a dynamic and emerging risk perspective.
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Gongbing, Sun, and Yuan Yuping. "Comprehensive Evaluation of Soil Fertility Based on Fuzzy Dynamic Clustering Algorithm." Scholars Journal of Engineering and Technology 12, no. 12 (2024): 349–54. https://doi.org/10.36347/sjet.2024.v12i12.002.

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The distribution of soil nutrients in cultivated land was clarified and the soil fertility was systematically evaluated and analyzed. First, five important indicators that have a greater impact on soil comprehensive fertility were selected, and the index data were standardized. According to the different impacts of each indicator on soil fertility, the average value of partial correlation coefficient between each indicator and other indicators was calculated, and a certain weight was given to each indicator. The inverse absolute value method was used to construct a fuzzy similarity matrix, and the fuzzy similarity matrix was transformed into a fuzzy equivalent matrix to obtain dynamic clustering results. Finally, statistics were used to determine the optimal threshold value as 0.993 and the relative optimal soil classification number as 7 categories. The experimental results are in agreement with the actual situation, which proves the effectiveness of the fuzzy dynamic clustering algorithm.
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Ge, Xiangyu, Ying Jin, Qing Li, Xiaofang Yao, and Shican Liu. "Research on a Dynamic Evaluation of Financial Risks of Intellectual Property Pledge Financing of High-Tech Enterprises." Discrete Dynamics in Nature and Society 2021 (December 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/2048811.

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Intellectual property pledge financing is effective in alleviating the financing problems of scientific and technological enterprises to a certain extent. However, compared with traditional loans, intellectual property pledge financing is at greater risk with an eye to the particularity of intellectual property pledges. Therefore, it is very important to evaluate the risk of intellectual property pledge financing. This article first outlines the information entropy method, functionalizing indicator data and weight data, and applies the combination of the weight function and indicator function in dynamic evaluation function, to get the final evaluation result. Second, taking four high-tech listed companies on the growth enterprises market (GEM) as example, an evaluation indicator system has been constructed with 16 relevant financial indicators from 2015 to 2019. Then, based on the dynamic function method, we can construct the evaluation function to describe the change trend of the financial indicators of enterprises with a comparison of the advantages and disadvantages of the financial indicators of enterprises. Finally, this article has made a comprehensively comparative analysis on the dynamic evaluation, and the financial risk of intellectual property pledge financing of high-tech enterprises has been done with the combination of the dynamic evaluation curve with the optimal time weight determined by the maximum entropy method.
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Denney, Dennis. "Dynamic Economic Indicator To Evaluate SAGD Performance." Journal of Petroleum Technology 58, no. 12 (2006): 64–67. http://dx.doi.org/10.2118/1206-0064-jpt.

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Dissertations / Theses on the topic "Dynamic indicator"

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Sherman, Brook W. "The Examination and Evaluation of Dynamic Ship Quiescence Prediction and Detection Methods for Application in the Ship-Helicopter Dynamic Interface." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/32436.

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Motion sensitive operations at sea are conducted in an unpredictable environment. While occasionally these operations can be planned around suitable weather forecast or delayed until smoother motions are apparent, naval ships conducting flight operations may have little liberty in their mission planning and execution. Tools exist to translate the oceanâ s harsh conditions into discretely defined low motion operational periods. Particularly of interest, the identification of discrete lull periods or quiescence for shipboard helicopter operations can be better defined using a landing period indicator than with the current method of utilizing static deck angle measurements. While few of these systems exist, assessing their operational benefits is difficult due to a lack of well-defined performance metrics. <p>This thesis defines and examines the use of two methodical approaches to evaluating Landing Period Indicators (LPIs) and their subject ship-helicopter dynamic interface system. First a methodology utilizing the comparison of a basic transparent algorithm is detailed and a case study employing this methodology is examined. Second, a system dynamics approach is taken to pilot workload analysis, utilizing a dynamic systems model characterizing a subset of the Dynamic Interface. This approach illustrates the realistic gains in understanding and development that can be accomplished by utilizing system dynamics in the analysis of the Dynamic Interface and LPI insertion.</p><br>Master of Science
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BERNASCONI, DAVIDE PAOLO. "Dynamic prediction in survival analysis with binary non-reversible time-dependent treatment indicator." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/76772.

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Negli studi clinici spesso è di interesse confrontare la sopravvivenza di pazienti appartenenti a due o più gruppi di trattamento. In alcune situazioni, la classificazione non è effettuata all’inizio del follow-up ma cambia nel tempo. Ad esempio, tutti i pazienti sono sottoposti ad un trattamento iniziale ed alcuni lo continuano mentre altri cambiano dopo un certo periodo di tempo. In questo caso il trattamento è rappresentato da una variabile binaria tempo-dipendente. Un contesto tipico è il confronto tra chemioterapia e trapianto di cellule staminali nella Leucemia Linfoblastica Acuta. In questa situazione, il metodo Kaplan-Meier non è utilizzabile in quanto affetto da immortal time bias. Due approcci non-parametrici alternativi sono stati proposti in letteratura. Andersen et al. (1983) suggeriscono di classificare i pazienti ad un tempo “landmark” che corrisponde al punto iniziale della stima della curva di sopravvivenza, includendo solo i pazienti ancora a rischio al landmark. Il secondo metodo, proposto da Simon e Makuch (1984), consiste nell’aggiornamento dinamico dei “risk sets” dei due gruppi di trattamento tempo-dipendenti. Entrambi i metodi sono stati presentati in maniera euristica e senza specificare le quantità teoriche che corrispondono agli stimatori proposti. Perciò, l’interpretazione delle curve stimate dai due metodi non è mai stata chiarita. Quando l’interesse non è rivolto alla sopravvivenza globale ma alla predizione profilo-specifica, ovvero tenendo conto delle caratteristiche individuali dei soggetti, occorre utilizzare metodi di regressione parametrici o semi-parametrici. Il modello di Cox è quello più popolare ma in presenza di effetti tempo-dipendenti e/o di covariate tempo-dipendenti non può essere utilizzato per ottenere delle curve. Tra le possibili alternative sono stati considerati il modello parametrico di Hanley e Miettinen (2009) e il modello di regressione semi-parametrico basato sul landmark di Van Houwelingen (2007). Il primo è basato sulla stima della funzione azzardo nel tempo applicando una regressione logistica ad un dataset esteso creato dalla suddivisione del tempo di sopravvivenza osservato di ciascun soggetto in un certo numero di unità di tempo e trattando il numero di eventi in ogni singolo intervallo di tempo come una variabile casuale Binomiale. Il secondo metodo scaturisce dall’idea di utilizzare il modello di Cox su molteplici partizioni del dataset ciascuna creata partendo da un tempo landmark progressivo e includendo solo i soggetti a rischio al landmark; la classificazione del trattamento per questi pazienti è fissata a quel tempo consentendo di aggiornare dinamicamente il valore delle covariate tempo-dipendenti in ciascun modello e permettendo ai coefficienti stimati di variare nel tempo. Gli scopi del presente lavoro sono la revisione e lo sviluppo di metodi per: 1) descrivere la sopravvivenza in funzione di un covariata binaria tempo-dipendente sia da una prospettiva fissa sia dinamicamente nel tempo; 2) la valutazione dell’impatto su queste quantità dei fattori prognostici, in particolare il tempo di attesa al trapianto, utilizzando dei parametri interpretabili; 3) lo sviluppo di predizioni profilo-specifiche. Nella prima parte del lavoro si intende chiarire il significato delle le quantità teoriche stimate dai metodi landmark e Simon e Makuch. In aggiunta, si presenta un approccio innovativo basato su domande controfattuali e predizione dinamica, verificando la validità dei risultati attraverso delle simulazioni. Nella seconda parte, si presentano i modelli di regressione di Hanley-Miettinen e del landmark e si mostra come utilizzarli per ottenere la stima dell’effetto del tempo i attesa al trapianto e per produrre delle predizioni profilo-specifiche su dati reali inerenti a pazienti affetti da Leucemia Linfoblastica Acuta, confrontando la performance dei modelli attraverso delle simulazioni.<br>In clinical studies it is often of interest to compare the survival experience of patients in two or more treatment groups. In some situations the categorization is not fixed at baseline but changes during the follow-up, where patients, for example, start from an initial treatment and either continue it or switch to an alternative one after some time (waiting time). Thus, treatment is a binary non reversible time-dependent variable. A typical problem is comparing outcomes of chemotherapy vs stem-cell transplantation in Acute Lymphoblastic Leukemia (ALL) where patients are treated initially with chemotherapy and during the follow-up they can receive bone marrow transplant. In this context, the standard Kaplan-Meier method is unreliable since it is affected by the immortal time bias. Two alternative non-parametric approaches were proposed in the literature. Andersen et al. (1983) suggests to classify patients at a landmark time which corresponds to the starting point for the estimation of the Kaplan-Meier survival curve, involving only patients still at risk at the landmark. The second, proposed by Simon and Makuch (1984), consists in dynamically updating in time the risk set of the two time-dependent treatment groups. Both methods were presented mostly relying on heuristic bases and without specifying the theoretical quantities corresponding to the proposed estimators. Thus, the interpretations of the curves estimated by the two methods was never clarified. When the focus is not on the overall survival experience but rather on profile-specific prediction, i.e. accounting for the individual characteristics of the subjects, one must resort to semi-parametric or parametric regression models. The Cox model is the most popular one but in the presence of time-varying effects and/or time-dependent covariates it cannot be used to obtain survival curves. Among the possible alternatives we considered the full parametric model by Hanley and Miettinen (2009) and the semi-parametric landmark regression model by Van Houwelingen (2007). The first is based on estimating the hazard function over time by applying a logistic regression to an expanded dataset created by splitting the observed survival time of each subject into a number of time-units and to treat the number of events in every single interval as a Binomial random variable. The second originates from the idea of fitting the Cox model to multiple subsets of data, each one created starting from a sliding landmark time point and including only the subjects at risk at the landmark; the treatment classification for these patients is frozen at that time allowing to dynamically update the time-dependent covariates in each model and to let the parameter estimates to vary in time. The aims of the dissertation are reviewing and developing methods for: 1) the description of the survival experience according to a binary time-dependent treatment indicator both from a fixed perspective and dynamically update in time; 2) the assessment of the impact on these quantities of prognostic factors, in particular the waiting time to transplant, through interpretable parameters; 3) the development of profile-specific predictions. In the first part of this work we wish to clarify the theoretical quantities estimated by the landmark and Simon-Makuch methods. In addition, we present a novel approach based on counterfactual questions and dynamic prediction, checking the validity of our findings using simulations. In the second part, we review the Hanley-Miettinen and landmark regression models and we show how to use them to properly estimate the effect of waiting time to transplant and to make profile-specific dynamic predictions on a real dataset on ALL, comparing the performance of the two models using simulations.
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Fairhurst, Kenneth Barton. "Geoptics landscape apparency : a dynamic visual resource indicator and tool for multi-functional landscape planning." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/28006.

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Forest managers must consider visual quality objectives to meet public expectations for use and enjoyment of forest landscapes. These applications of visual constraints have been criticized for being overly restrictive, and for causing a lack of opportunity for appropriate development. At the same time, inadequate planning and design can cause unnecessary visual impacts in the landscape. Past studies of visual vulnerability, visual magnitude, and angle of visual incidence have attempted to identify relative risk of visual impact. A new approach was sought that might help alleviate those problems, and improve the ability to forecast, model, and manage that risk. Perspectival variability affects how the landscape is seen, and poses complex challenges in the planning and management of visual resources. Therefore, a dynamic and quantitative approach to landscape classification was developed to provide greater understanding and control from multiple viewpoints. A landscape illumination mapping technique in a three-dimensional terrain model was applied as an analog for viewing from multiple viewpoints. The intensity of illumination, termed cumulative landscape apparency, provided an indicator of relative risk of visual impact for each grid cell in the landscape model. The model was validated internally through tests and applications and externally through focus group testing. Apparency can provide a new, reliable, geographic information system-based inventory measure that will help guide resource planning, design, and integration. It has been shown to offer a potential enhancement to visual landscape inventory, and is expected to be useful to land managers without a strong background in visual resource management, by reducing their reliance on experts and increasing their success in meeting visual quality objectives relative to current planning methods. Apparency was shown to reveal inherent patterns in the landscape that would be useful for differentiating areas requiring greater and lesser attention, improving harvest design outcomes, and partially automating or guiding the design. The knowledge gained in testing apparency for its relation to plan-to-perspective analysis can potentially provide an indicator for refining resource supply questions. Geoptics is expected to be applicable to a wide array of visual resource management and resource planning mechanisms in BC and other jurisdictions.
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Murphy, Anthony James. "Surface EMG spectral analysis as an indicator of fatiguing factors during dynamic sports related movements." Thesis, University of Brighton, 2011. https://research.brighton.ac.uk/en/studentTheses/917a8046-c1f2-4e45-82b1-30faa5e2e8a1.

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During fatiguing exercise, which for the purpose of this study was defined as exercise which significantly reduces peak muscle force capacity, the components of surface EMG have been noted to shift to a lower frequency spectrum. In the literature this effect has predominantly been studied during isometric contraction to maintain the stationarity of the EMG signal. It has been speculated whether this phenomenon is a result of centrally mediated neurological response to exercise or as a result of the local muscle environment. This thesis was designed to examine the effect of exercise induced fatigue on surface EMG spectral analysis during dynamic exercise.
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Miranda, Cavalcante Neto Luiz. "Dynamic indicator of individual exposure to air quality based on multi-sensor measurements : a tool for personalized prevention." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Lille Douai, 2024. http://www.theses.fr/2024MTLD0009.

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L'évolution récente des technologies de détection des gaz a popularisé l’usage des micro-capteurs dans de nombreuses applications : analyse de la qualité des produits alimentaires, nuisances olfactives, surveillance de la pollution de l'air ambiant et intérieur. Les capteurs de gaz à base d'oxyde métallique (MOX) dominent le marché des capteurs prêts à l'emploi grâce à leur miniaturisation, leur coût réduit et leur disponibilité. Cependant, les capteurs MOX sont rarement utilisés seuls pour mesurer un gaz unique, car ils sont sensibles à de nombreux paramètres, dont plusieurs gaz simultanément, et sujets à la dérive au fil du temps. Ils sont généralement regroupés en grappes (ou « nez électroniques ») combinant différents modèles de capteurs MOX aux sensibilités variées. Avec un traitement de données approprié via des algorithmes de reconnaissance des formes, ces systèmes fournissent des informations précieuses sur l'échantillon mesuré. Pour la qualité de l'air intérieur (QAI), ces grappes de capteurs MOX servent à mesurer la concentration de composés organiques volatils (COV), avec des résultats parfois comparables aux équipements analytiques de laboratoire. Cette thèse étudie les informations fournies par ces grappes dans les applications de QAI, et comment les transmettre à l'occupant sous la forme d'un indice individuel dynamique de QAI, d'où le titre de la thèse. L'approche retenue a d’abord consister à étudier le nombre de degrés de liberté d'un système multi-capteurs MOX à l'aide d'un outil d'analyse dimensionnelle : la dimensionnalité intrinsèque (ID). L’objectif était d’identifier une configuration optimale pour un moniteur de QAI. Pour cela, plusieurs ensembles de données, illustrant différentes situations de QAI, ont été analysés. Nous avons ensuite développé notre propre base de données, comprenant 10 activités intérieures quotidiennes, surveillées par un grand nombre de capteurs MOX. Lors de l'analyse de ces données, nous avons constaté que l'ID pouvait aussi indiquer l'état de la pollution de l'environnement surveillé. Après avoir approfondi les effets des activités sur l'ID du système, un article a été publié sur ces résultats<br>Recent developments in gas sensing technology have made the use of microsensors popular for a large variety of applications, such as the analysis of quality of food products, odor nuisances, and air pollution monitoring in the ambient and in the indoor air. Notably, metal-oxide-based gas sensors (MOX sensors) have dominated the market for off-the-shelf gas sensor due to their miniaturization, cost-effectiveness, and availability. Despite that, MOX sensors are usually not used individually to measure a single gas as they are notoriously known to be sensitive to a large number of parameters, including multiple gases at the same time, as well as being prone to drift in their measurement during their lifetime. The solution to that is that is most applications, these sensors are grouped in clusters (sometimes called electronic noses) containing different models of MOX sensors capable of measuring different species of gases with different levels of sensitivity and, with proper data treatment in the form of a pattern recognition algorithm, they can provide valuable information about the sample presented to them. For indoor air quality (IAQ) applications, these clusters of MOX sensors are typically used to measure concentration of volatile organic compounds (VOCs)in the indoor air, with results sometimes comparable to analytical laboratory equipment. In this thesis, we study which type of information these clusters of sensors can provide to us, specifically in IAQ applications and how we can convey this information to the occupant of a monitored indoor environment in the form of a dynamic individual IAQ index, hence the title of the thesis. The chosen approach was, at first, to study the number of degrees of freedom of a system containing multiple MOX sensors using a dimensional analysis tool (the intrinsic dimensionality, or ID, of the system) to try to find an ideal configuration for an IAQ monitor to. To do so, multiple datasets were analyzed, which contained different IAQ situations. We ended up developing our own dataset containing reproductions of 10 different day-to-day indoor activities monitored by a large number of MOX sensors. During the analysis of this dataset, we realized that the ID can also be an important indicator of the state of the air pollution in the monitored indoor environment, so after further exploring the effects of the performed activities in the ID of the system, a paper was published with the findings of this study
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VanLoo, David B. "Adequacy of written spelling fluency as a dynamic indicator of phonological awareness and the alphabetic principle in kindergarten and first grade students /." view abstract or download file of text, 2003. http://wwwlib.umi.com/cr/uoregon/fullcit?p3095280.

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Thesis (Ph. D.)--University of Oregon, 2003.<br>Typescript. Includes vita and abstract. Includes bibliographical references (leaves 98-103). Also available for download via the World Wide Web; free to University of Oregon users.
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Torres, Gabriel Picavêa. "Um índice coincidente para a atividade econômica do comércio varejista no Rio Grande do Sul." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/103974.

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O objetivo deste trabalho é a construção de um indicador coincidente (IC) para a atividade econômica do segmento de Comércio Varejista dentro da economia do estado do Rio Grande do Sul. A utilização de variáveis que apresentem comportamento comum entre si e altamente correlacionado com as Vendas do Varejo é o ponto de partida para a investigação a seguir. A metodologia adotada é a dos modelos de Fator Dinâmico de Stock e Watson (1988, 1989, 1991, 1993). Os resultados encontrados apontam um indicador final satisfatório, em termos de MAPE (erro absoluto percentual médio, em inglês) com relação às séries de Vendas do Varejo, especificamente a série da FEE/Fecomércio-RS – que tratava-se de uma pesquisa censitária. Em termos de fundamentos econômicos o IC é composto por variáveis que sabidamente afetam o consumo de bens: renda, crédito e confiança do consumidor. Um destaque está para o alto peso das variáveis de Crédito e Sentimento sobre a Situação Presente, o que sugere que o fluxo de renda futuro e a confiança para assumir endividamentos longos são determinantes para o segmento. Considerando um horizonte maior para a ampliação dessa pesquisa, postula-se que a construção de novos dados regionalizados para crédito, renda pela PNAD Contínua, séries mais longas para índices de confiança, e indicadores sobre estoques no Comércio podem melhorar os resultados encontrados.<br>The following research intends to build a coincident indicator to the Retail sector’s economic activity within the regional economy of Rio Grande do Sul. The starting point to reach this objective is to use variables which present common cyclical behavior with each other, as well as with Retail Trade indices. The investigation will be carried on using Stock and Watson’s (1988, 1989, 1991, 1993) Dynamic Factor models methodology. The research returned a result a final index which can be classified as satisfactory, when evaluated by the mean absolute percentage error with Retail Trade indices, specially the FEE/Fecomércio-RS’ index – which was a censitary research. The built Coincident Indicator is composed by variables correlated with consumption, according to the economic theory: income, credit and consumer’s confidence. Variables such as Consumer Credit and Consumer’s Sentiment towards Present Economic Situation presented high weight in the indicator, which suggests that future income flows and confidence to take long term debt are crucial for the sector’s economic activity. Considering an expanded horizon for this research, one believes that new regional data for Household Credit, income through PNAD Contínua, a longer sample for Consumer’s Confidence indices, and indicators measuring stock levels in Retail might improve the coincident indicator.
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Gaignon, Pierre. "Can the dynamic of milk Ca content throughout lactation be an indicator of the effects of management system and diets on bone mobilization in dairy cows ?" Thesis, Rennes, Agrocampus Ouest, 2018. http://www.theses.fr/2018NSARB316/document.

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Au cours de leur lactation, les vaches laitières font face à d’importants besoins en calcium du fait de la production laitière. L'augmentation très rapide de ces besoins en début de lactation fait que l’organisme des vaches peut difficilement s’adapter par une hausse de l’ingestion et de l’absorption digestive de calcium. L’organisme doit puiser dans les réserves osseuses, qui seront reconstituées plus tard en fin de lactation. Ces cycles de mobilisation et reconstitution osseuses restent cependant impossibles à quantifier chez la vache laitière sur de larges effectifs et les conséquences d’une mauvaise reconstitution osseuse sur les lactations suivantes restent inconnues. Cette thèse avait pour objectif de développer un indicateur des phénomènes de mobilisation et reconstitution osseuse au cours de la lactation.Plusieurs facteurs de mobilisation osseuse ont pu être identifiés, comme la race, la parité ou l’alimentation. Cependant, les cycles de mobilisation et de reconstitution osseuse n’ont pas pu être reliés à des variations de la composition du lait en Ca et P. Il a cependant pu être montré, que contrairement à ce qui est décrit dans la littérature, un apport insuffisant en Ca en début de lactation n’est pas toujours accompagné d’une augmentation de la mobilisation osseuse, mais peut être compensé par une augmentation des capacités d’absorption digestive. Cette thèse montre aussi la nécessité de quantifier les conséquences d’un apport insuffisant de calcium alimentaire sur les performances de production et la santé des vaches laitières sur l’ensemble de la lactation<br>During lactations, dairy cows faces huge calcium requirements due to milk production. Because of the fast increase in those requirements at the beginning of the lactation, the organism of dairy cows can hardly adapt by increasing intake and digestive calcium absorption. The organism must mobilize calcium from its storage pool, bones, which will replenish later in lactation. Those cycles of bone mobilization and reconstitution remain impossible to quantify for important number of dairy cows and the consequences of an incomplete bone reconstitution on following lactation remain unknown. The aim of this PhD was to develop an indicator of the phenomenon of bone mobilization and reconstitution during lactation.Several factors increasing bone mobilization have been identified, such as breed, parity or diet. However, the cycles of bone mobilization and reconstitution could not be related to variation in milk Ca and P content. However, it has been showed that, an insufficient Ca supply in early lactation does not always induce a higher bone mobilization, as it has been described in the literature, but can be compensated by an increase in digestive absorption capacity. The thesis also showed the need to quantify the consequences on insufficient dietary calcium supply on dairy cows’ milk production and health throughout lactation
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Gillespie, Debra Joyce. "Exploring Consistency in Dynamic Indicators of Basic Early Literacy Skills Next Oral Reading Fluency Passages for Educational Decision Making." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1341238819.

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Ільницький, М. К. "Розробка методів попередження втомних руйнувань морських трубопроводів". Thesis, Івано-Франківський національний технічний університет нафти і газу, 2001. http://elar.nung.edu.ua/handle/123456789/3919.

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Дисертаційна робота присвячена забезпеченню надійності роботи підводних трубопроводів шляхом розробки методів прогнозуЕіання їх довговічності. В роботі вирішуються задачі визначення нестаціонарних навантажень, які сприймає трубопровід під дією морських хвиль та створення технічних засобів для контролю циклів змінних навантажень. Досліджуються коливальні процеси ділянки трубопроводу, який провисає над западиною морського дна і внутрішні навантаження в його поперечних перерізах. Визначені умови відсутності резонансних коливань. Обгрунтовано вибір локальних моделей для оцінки характеристик втоми підводних трубопроводів під дією змінних навантажень. Розроблена методика і проведені експериментальні дослідження взірців трубопроводу на втому. Розроблена схема запобігання впливу нафти з трубопроводу при його пошкодженні. Запропоновано конструкцію пристрою попередження руйнувань трубопроводів з індикаторами втоми.<br>Целью диссертационной работы является обеспечение надежности работы подводных трубопроводов путем разработки методов прогнозирования долговечности на основании определения переменных нагрузок, вызванных действием морских волн, и создания технических средств для контроля количества циклов переменных напряжений. В работе исследуется действие морских волн на подводный морской трубопровод. На основании анализа теории волн, разработанных Стоксом и Эри показано, что волнение поверхности моря передается на глубину более 20м и воздействует на подводный трубопровод. Выполнен предварительный анализ статической нагруженности трубопровода под действием сил веса. Рассмотрены две схемы закрепления концов участка трубопровода, провисающего над расщелиной морского дна, - защемление и шарнирное опирание с последующим защемлением. Показано, что в первой схеме имеют место более высокие нагрузки, особенно вблизи защемления. Вторая схема позволяет варьировать нагрузкой на шарнирную опору и защемление путем изменения расстояния между ними. Определено оптимальное расстояние, обеспечивающее минимальную нагрузку на опоры. Проведены исследования колебаний участка трубопровода под действием морских волн. Действие волн представлено в виде распределенной нагрузки, меняющейся по гармоническому закону. Записаны дифференциальные уравнения поперечных перемещений оси участка трубопровода. Решение управления, выполненное для главных форм колебаний, позволило определить перемещения и углы поворотов сечений, а также изгибающие моменты и поперечные силы в сечениях. Определены условия отсутствия резонанса, ограничивающие длину участка трубопровода, защемленного на концах. Выведено уравнение для определения частоты их волн, учитывающее длину волн lх и глубину h акватории моря; установлено, что частота волн значительно зависит от длины волн и меньше от глубины моря. Так, при h>10м, зависимость частоты от глубины несущественна. При длине волн до 50м частота существенно зависит от изменения длины, а при lх >50м эта зависимость уже значительно меньше и частота принимает значения 10x< lс'1. Полученные результаты дают возможность, используя статистические данные параметров волн на определенной акватории моря, прогнозировать допустимую длину провисающего участка трубопровода по условию отсутствия резонансных колебаний. Подобрано экспериментальное оборудование и измерительные приборы, обоснованы методы обработки результатов исследований. Разработана методика оценки параметров кривых усталости подводных трубопроводов на основании испытаний моделей-«вырезок». Проведены исследования роста усталостных и коррозионно-усталостных трещин в теле трубы и зоне сварного шва и влияние на скорость их распространения в коррозионной среды. За получеными значениями скорости роста усталостной трещины и соответствующими ей значениями коэфициентов интенсивности напряжений построены диаграмы циклической трещиностойкости материала трубы и сварного шва на воздухе и в корозионной среде, которые позволяют определять характеристики трещиностойкости материала трубы и сварного шва. Установлены параметры кривой усталости моделей-«вырезок» которые могут быть использованы для расчета долговечности подводных трубопроводов. Разработана схема трубопровода с автоматической системой управления для предупреждения вылива нефтепродуктов при его повреждении, которая позволяет избежать загрязнения окружающей среды. Получены расчетные формулы для определения времени вытекания нефтепродукта и его объёма. Предложен расчётно-экспериментальный метод предупреждения разрушений подводного трубопровода с помощью устройства, содержащего индикаторы усталости. В основу этого метода положен подбор индикатора усталости в котором выращивается трещина с соблюдением условия равенства квантильного значения предела усталости материала газопровода пределу усталости индикатора, что обеспечивает заданную вероятность неразрушения. Разработано приспособление с индикаторами усталости которое позволяет учитывать влияние коррозионной среды (морской воды). Для прогнозирования усталостной долговечности при нестационарных нагрузках предложен принцип суммирования усталостных повреждений, который основывается на експериментальном определении значении коэффициента суммирования и формирования блока нагружения.<br>The subject of thesis is prevention of the functioning reliability of underwater pipelines by means of developing the methods to forecast their durability. The thesis solves the tasks of determining the changing load caused by sea wave’s motions. The thesis also considers the creation of technical devices for controlling of changing load cycles. There have been analyzed the motion processes of the pipeline sections. The conditions of absence of resonance vibrations have been determined. It has been grounded the choice of local models for evaluation of underwater pipeline fatigue caused by changing load. The samples on pipeline fatigue have been experimentally investigated and relevant methods have been developed. A scheme has been worked out for preventing oil leakage from the pipeline if it is damaged.
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Books on the topic "Dynamic indicator"

1

Agency, European Environment, ed. Impacts of Europe's changing climate: An indicator-based assessment. European Environment Agency, 2004.

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Hirsh, Sandra Krebs. Introduction to type and coaching: A dynamic guide for individual development. Consulting Psychologist's Press, 2000.

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European Commission. Joint Research Centre and World Health Organization, eds. Impacts of Europe's changing climate: 2008 indicator-based assessment : joint EEA-JRC-WHO report. European Environment Agency, 2008.

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Mishchenko, Aleksandr, and Elena Miheeva. Methods of assessment of efficiency of management of production and financial activity of the enterprise. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/monography_5d1ae60d82d6d9.87533425.

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The proposed book describes the static and dynamic models of optimization of production and financial activities of the enterprise in the conditions of deterministic source data, and taking into account the uncertainty and risk. In the latter case, when choosing a management decision, not only the amount of expected profit, but also various types of risks, as well as such an indicator as the stability of the selected option of production and economic activity to changes in the market environment, are taken into account.
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Good, Roland H. Dynamic indicators of basic early literacy skills. 6th ed. Sopris West Educational Services, 2003.

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A, Kaminski Ruth, and Smith Silvia, eds. Dynamic indicators of basic early literacy skills. 6th ed. Sopris West Educational Services, 2003.

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B, Elliott Kenny, Schenk Axel, and Langley Research Center, eds. A consistent-mode indicator for the Eigensystem Realization Algorithm. National Aeronautics and Space Administration, Langley Research Center, 1992.

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B, Elliott Kenny, Schenk Axel, and Langley Research Center, eds. A consistent-mode indicator for the Eigensystem Realization Algorithm. National Aeronautics and Space Administration, Langley Research Center, 1992.

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Tin, Jan. Dynamics of economic well-being. U.S. Dept. of Commerce, Economics and Statistics Administration, 1996.

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I, Semenov Anatoly, Shefov Nicolay N, and SpringerLink (Online service), eds. Airglow as an Indicator of Upper Atmospheric Structure and Dynamics. Springer-Verlag Berlin Heidelberg, 2008.

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Book chapters on the topic "Dynamic indicator"

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Brandt, Jane, and Nichola Geeson. "Desertification indicator system for Mediterranean Europe." In Monitoring and Modelling Dynamic Environments. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118649596.ch6.

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Cepeda, Jaime C., José Luis Rueda-Torres, Delia G. Colomé, and István Erlich. "Performance Indicator-Based Real-Time Vulnerability Assessment." In Dynamic Vulnerability Assessment and Intelligent Control for Sustainable Power Systems. John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119214984.ch6.

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Congedi, Antonella, and Sandra De Iaco. "A Dynamic Spatial Indicator of the Surface Water Quality." In Italian Statistical Society Series on Advances in Statistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-64346-0_42.

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Dobrisan, Andrei, and Stuart Kenneth Haigh. "Specific Energy as Indicator of Liquefaction in Dynamic Centrifuge Experiments." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9722-0_176.

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Oliveira, Sabrina, Elizabeth F. Wanner, Sérgio R. de Souza, Leonardo C. T. Bezerra, and Thomas Stützle. "The Hypervolume Indicator as a Performance Measure in Dynamic Optimization." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12598-1_26.

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Pan, Guandong, Zhaobang Wu, Yaqian Yang, et al. "Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4001-0_6.

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Koné, Malik, Madeth May, Sébastien Iksal, and Souleymane Oumtanaga. "A Collective Dynamic Indicator for Discussion Forums in Learning Management Systems." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58459-7_5.

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Luna-Navarro, Alessandra, Andrea Welti, Pedro de la Barra, Pablo Martinez-Alcaraz, and Matteo Porta. "Impact of Dynamic Façades on Smart Readiness Indicator and User Satisfaction." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8313-7_65.

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Ben Ouada, Meriem, Imen Boudali, and Moncef Tagina. "A Hybrid Multiobjective Optimization Approach for Dynamic Problems: Evolutionary Algorithm Using Hypervolume Indicator." In Hybrid Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14347-3_21.

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Xu, Meng. "A Preliminary Study of Indicator-based Genetic Programming for Multi-objective Dynamic Flexible Scheduling." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4756-9_14.

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Conference papers on the topic "Dynamic indicator"

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Yu, Liang, Yangbing Lai, Jiayu Mo, Yuze Zeng, Guoshen Tan, and Haonan Xu. "Smart Firefighting Early Warning and Evacuation System Based on Edge Computing with Led Dynamic Indicator Devices." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653345.

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Karahodža, Bakir, Alem Čolaković, and Adnan Omerhodžić. "Architectural Framework for IoT Driven Data Acquisition and Transmission for Dynamic Assessments of Personal Driving Risk Indicator." In 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2024. https://doi.org/10.1109/ciees62939.2024.10811158.

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Vel�zquez-S�mano, Tadeo E., Heriberto Alcocer-Garc�a, Eduardo S�nchez-Ram�rez, Carlos R. Caceres-Barrera, and Juan G. Segovia-Hern�ndez. "Analysis of Control Properties as a Sustainability Indicator in Intensified Processes for Levulinic Acid Purification." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.104729.

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The evaluation of control properties in industrial processes is essential to achieve sustainability, a very relevant topic today. This study emphasizes the importance of control studies to ensure that processes are efficient, operable and safe. While strategies such as process intensification can reduce the size, cost, and consumption of energy, it can present challenges in control and operability. This work focuses on the evaluation of the control properties of schemes with different degrees of intensification for the purification of levulinic acid, with the aim of identifying designs with the best control properties and the best economic and environmental indicators. The schemes were designed under a systematic synthesis strategy and optimized using the hybrid method of differential evolution with a tabu list, considering the total annual cost and Eco-indicator 99. An open-loop study analyzed the relationship between manipulable variables and output variables using total condition number, sensitivity index, and relative gain matrix analysis. The dynamic behavior in a closed loop was subsequently analyzed using the minimization of the absolute error integral as a criterion. The results showed that the design, which includes a liquid-liquid extraction column, three distillation columns, and thermal coupling, presented the best dynamic performance. This design had a low total condition number, a below-average sensitivity index, a stable control structure, and low values of the absolute error integral. In addition, it stood out for its excellent cost and environmental impact indicators, which makes it the most favorable option among the proposed designs.
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Dempsey, Paula, Yan Chen, and Zaffir Chaudhry. "A Novel Gear Condition Monitoring Method Based on Transient Impulse Response." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9528.

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In this paper a new method for gear condition monitoring is presented. The method exploits the system transient dynamic response due to impulse-like excitation produced by the repetitive gear meshing. The transient response pattern is easily observed at the underlying system or subsystem's natural frequency, also referred to as the "carrier frequency". At these carrier frequencies, the vibration magnitude is directly related to the intensity of the meshing force impulse, which is implemented as a condition indicator. Also, the modulation frequency of the filtered vibration at the "carrier frequency" can be used to determine the source of the component modulating the output. Four gear vibration data sets from a spiral bevel gear test rig at NASA Glenn Research Center were analyzed. The condition indicator (CI) based on transient impulse response method (TIRM) was competitive with other prevalent condition indicators in providing effective detection of the gear damage severity, and offered superior performance in locating the damage source in the gear/pinion pairs.
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Shin, Hyundon, and Marcel Polikar. "A Dynamic Economic Indicator To Evaluate SAGD Performance." In SPE Western Regional/AAPG Pacific Section/GSA Cordilleran Section Joint Meeting. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/100525-ms.

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Dermy, Oriane, Anne Boyer, and Azim Roussanaly. "A Dynamic Indicator to Model Students’ Digital Behavior." In 14th International Conference on Computer Supported Education. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011039400003182.

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Baranova, Vladena, Lenka Landryova, and Jozef Futo. "Quality indicator model of dynamic system boring machine - Rock." In 2015 16th International Carpathian Control Conference (ICCC). IEEE, 2015. http://dx.doi.org/10.1109/carpathiancc.2015.7145039.

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Shin, H., and M. Polikar. "Evaluation of SAGD Projects Using a Dynamic Economic Indicator." In Canadian International Petroleum Conference. Petroleum Society of Canada, 2007. http://dx.doi.org/10.2118/2007-173.

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Larichev, Roman, Yuri V. Filatov, and Vladimir V. Venediktov. "Dynamic angle measurements involving different optical null-indicator types." In Optical Metrology and Inspection for Industrial Applications X, edited by Gerd Ehret, Benyong Chen, and Sen Han. SPIE, 2023. http://dx.doi.org/10.1117/12.2687596.

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Dilosi, A., A. Hassan, A. Mili, and A. Siadat. "Dynamic Sampling Plans using a Metrology Situation Indicator (MSI)." In 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2022. http://dx.doi.org/10.1109/ieem55944.2022.9989765.

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Reports on the topic "Dynamic indicator"

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Pălici, Bogdan, Alin Savu, Maria Trifon, et al. Mapping - Interactive Tool for Exploring Statistical Data about Cultural Infrastructure in Romania. National Institute for Cultural Research and Training, 2021. http://dx.doi.org/10.61789/mod.cdi.crtg.en.21.

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The Cartographic Module is an instrument for data selection, structuring, visualisation and analysis. It provides for multiple selection functionalities both at geographical area level (county, locality) and at data level (category of indicators and indicators). Three types of dynamic graphs are available on the indicator pages: comparison/evolution, ranking and frequency.
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2

Carpio, Carlos, Manuel Garcia, Ana R. Rios, Tullaya Boonsaeng, Juan M. Murguia, and Alcido Wander. Static and Dynamic Economic Resilience Indicators for Agrifood Supply Chains: The COVID-19 Pandemic in Latin America and the Caribbean. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004976.

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Given its enormous adverse effects on production systems and the economy, the recent COVID-19 pandemic has heightened interest in studying resilience in agrifood systems; however, only a few studies have used formal methods for resilience measurement. This study's overall objective was to identify, develop, and use indicators to measure the resilience of the agrifood supply chain. Specific research objectives were 1) to identify and develop survey-based indicators of the economic resilience of agribusinesses; 2) to use the indicators to measure and analyze the economic resilience of the agrifood supply chain in Latin America and the Caribbean (LAC) to the COVID-19 pandemic; and 3) to evaluate differences in the economic resilience of agribusinesses in the different supply chain stages to the COVID-19 pandemic. Data for the study were collected through two online surveys conducted in 2020 and 2022. Two resilience indicators were identified and developed: a static (SRES) and a dynamic (DRES) indicator. SRES measures the ability of businesses to avoid business losses within each study period. DRES measures firms capacity to recover business activity after an initial negative revenue shock. Study results reflect that, on average, the LAC agrifood supply chain firms in the sample were able to adapt and recover from the disruptions of a global health pandemic. The effects of the pandemic were not homogeneous across firms, nor was their adaptive resilience to the disruption.
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Woyczynski, Lauren, Christina Misunas, and Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.

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The Adolescent Atlas for Action (A3) is a suite of tools that summarizes the lives and needs of adolescents around the world to promote evidence-based decision-making. Through accessible and easy-to-grasp data just one click away, the A3 bridges the gap between decisionmakers and evidence to inform policies and programs. The Adolescent Indicators dashboard and Gender Gaps dashboard are two simple but dynamic dashboards that provide insights on the lives of adolescent girls and boys living in low- and middle income countries (LMICs) across 9 thematic domains of wellbeing. The Adolescent Indicators dashboard showcases how adolescent girls or boys are faring under each theme, globally and subnationally, as well as how the indicators across domains are interlinked. The Gender Gaps dashboard allows you to compare gaps by domain and indicator, both globally and subnationally. This brief elaborates on the methodology for developing both dashboards.
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Hartigan, Luke, and Tom Rosewall. Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator. Reserve Bank of Australia, 2024. http://dx.doi.org/10.47688/rdp2024-04.

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What is happening now? The onset of the COVID-19 crisis highlighted the importance of having timely data on the economy to help policymakers make more informed decisions. However, the most comprehensive measure of activity, GDP, is published with a long lag, thereby limiting its value to policymakers as a measure of the current state of the economy. To overcome this information deficiency, we develop a monthly activity indicator (MAI) for Australia. The MAI aims to provide policymakers with a more immediate snapshot of prevailing economic conditions. We achieve this by using a dynamic factor model to summarise the information content from a curated list of 30 monthly predictors selected for their ability to explain movements in quarterly real GDP growth. We undertake a pseudo out-of-sample nowcasting exercise using the MAI in an unrestricted MIDAS model and find that nowcasts based on the MAI significantly outperform standard benchmarks. Crucially, outperformance is largest during the COVID-19 crisis, emphasising the benefit from considering monthly data. Our results demonstrate that the MAI is a useful tool for policymakers to gain a better understanding of current economic conditions in Australia.
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Rice, J. M., M. Ross, H E Campbell, R. C. Paulen, and M. B. McClenaghan. Net evolution of subglacial sediment transport in the Quebec-Labrador Sector of the Laurentide Ice Sheet, Quebec and Newfoundland and Labrador. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/332151.

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The interior of the Laurentide Ice Sheet (LIS) had a dynamic polythermal base. However, the subglacial thermal organization of the LIS and its evolution throughout glaciation are poorly constrained. Specifically, the net effect of ice divide migration on subglacial processes and the resulting landforms and sediments remains poorly understood. The results of a regional-scale till sampling program within the interior of the Quebec-Labrador sector of the LIS were used to explore dispersal patterns across a region known to have experienced ice divide migration. Indicator mineral and clast lithology analysis, coupled with multivariate analysis of the till matrix geochemistry, were used collectively, and evaluated within the context of the relative ice flow chronology and subglacial thermal evolution to augment our understanding of how ice divide migration impacts subglacial erosion and sedimentary processes. Indicator minerals (e.g., goethite and orthopyroxene) and clasts (e.g., iron formation clasts from the Labrador Trough) form glacial dispersal patterns that are consistent with the earliest northeast-trending ice-flow phase identified in the region. This early ice-flow phase produced and transported till across the entire study area (&amp;amp;gt; 175 km). However, till matrix geochemistry shows a strong relationship with the local underlying bedrock, especially the major oxides. This relationship is relatively common in areas of thin till cover and resistant bedrock lithologies. The results also indicate that following the northeast ice-flow phase, erosion and till production became more localized, without considerable transport in a single sustained direction. These results are consistent with a transition to more sporadic warm-based conditions and ice divide migration, as ice sheet reconstructions indicate, and are supported by targeted 10Be data from erratics and bedrock surfaces. There are also spatial relationships between the dispersal of fresh or re-entrained debris and paleo-ice streams identified in the landform record, as evidenced by the dispersal of indicator minerals. The reworking of previously dispersed material during subsequent ice-flow phases resulted in complex dispersal patterns across the study area. These results provide important insights for ice sheet modelling and future mineral exploration programs in inner ice sheet regions of the LIS and demonstrate the importance of a thorough understanding of ice-flow history.
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BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, 2021. http://dx.doi.org/10.12731/er0519.07122021.

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The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting geomagnetic activity for research in various areas of solar-terrestrial physics. The most dramatic phenomena in the magnetosphere and high-latitude ionosphere occur during periods of magnetospheric substorms, a sensitive indicator of which is the time variation and value of the AL index. Currently, AL index forecasting is carried out by various methods using both dynamic systems and artificial intelligence. Forecasting is based on the close relationship between the state of the magnetosphere and the parameters of the solar wind and the interplanetary magnetic field (IMF). This application proposes an algorithm for describing the process of substorm formation using an instrument in the form of an Elman-type ANN by reconstructing the AL index using the dynamics of the new integral parameter we introduced. The use of an integral parameter at the input of the ANN makes it possible to simulate the structure and intellectual properties of the biological nervous system, since in this way an additional realization of the memory of the prehistory of the modeled process is provided.
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Osipov, Gennadij Sergeevich. INVESTIGATION OF PARTNERSHIP QUOTATION DYNAMICS PJSC NCSP HELP INDICATOR HELP. КультИнформПресс, 2017. http://dx.doi.org/10.18411/spbcsa-2017-7.

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Busby, Ryan, Wade Wall, and Lauren Bosche. Remote detection of soil shear strength in Arctic and subarctic environments. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49815.

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Soil shear strength affects many military activities and is affected significantly by plant roots. Unfortunately, root contribution to soil shear strength is difficult to measure and predict. In the boreal forest ecosystem, soil and hydrologic dynamics make soil shear strength less predictable, while the need for prediction grows due to the rapid changes occurring in this environment. Our current study objectives are to (1) observe possible aboveground vegetation indicators of soil shear strength variation across soils and other environmental heterogeneity, (2) observe possible image-based indicators of soil shear strength variation, and (3) identify the best remote-sensing data source for predicting soil shear strength variation. A total of 65 sites were sampled from a diversity of soil and vegetation types across interior Alaska and Ontario, Canada. Ground-collected data were analyzed to develop a predictive model, while a similar approach was undertaken with Sentinel-2 imagery. Results indicate that both ground-collected data and satellite imagery can reasonably predict boreal forest soil shear strength, with satellite imagery providing the higher predictive ability. A comparison of 10 m Sentinel-2 and submeter Maxar imagery indicated that Sentinel-2 provides a better prediction of soil shear strength.
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Diakonova, Marina, Corinna Ghirelli, Luis Molina, and Javier J. Pérez. The economic impact of conflict-related and policy uncertainty shocks: the case of Russia. Banco de España, 2022. http://dx.doi.org/10.53479/23707.

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We show how policy uncertainty and conflict-related shocks impact the dynamics of economic activity (GDP) in Russia. We use alternative indicators of “conflict”, relating to specific aspects of this general concept: geopolitical risk, social unrest, outbreaks of political violence and escalations into internal armed conflict. For policy uncertainty we employ the workhorse economic policy uncertainty (EPU) indicator. We use two distinct but complementary empirical approaches. The first is based on a time series mixed-frequency forecasting model. We show that the indicators provide useful information for forecasting GDP in the short run, even when controlling for a comprehensive set of standard high-frequency macro-financial variables. The second approach, is a SVAR model. We show that negative shocks to the selected indicators lead to economic slowdown, with a persistent drop in GDP growth and a short-lived but large increase in country risk.
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Zhao, Dawen, and Ralph P. Mason. Tumor Oxygen Dynamics as a Prognostic Indicator of Effective Antiangiogenic Therapy. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada407194.

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