Relevant bibliographies by topics / EAG states

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Academic literature on the topic 'EAG states'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "EAG states"

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Reja, Selim, and Shewli Shabnam. "A Comparative Study of Literacy Status between Eag and Non-Eag States of India with Special Reference to Eag States (2001-2011)." Journal of Rural Development 36, no. 4 (2017): 477. http://dx.doi.org/10.25175/jrd/2017/v36/i4/120622.

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Kumar, Sarvesh, Damodar Sahu, Amit Mehto, and Ravendra Kumar Sharma. "Health Inequalities in Under-Five Mortality: An Assessment of Empowered Action Group (EAG) States of India." Journal of Health Economics and Outcomes Research 7, no. 2 (2020): 189–96. http://dx.doi.org/10.36469/jheor.2020.18224.

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Background: The effect of childhood well-being programs is commonly interconnected with a change in mortality trends. The proportion of disparity shows that inequality in child mortality is more collective in the similarly evolved states than the poorer states in India. Objective: To estimate and compare the health inequality of under-five mortality in Empowered Action groups (EAG) states of India. Methods: Data from the National Family Health Survey (NFHS-4) was used only for the EAG States of India. Under-five mortality rates (U5MR) were calculated for associated background characteristics by using the life table method. Wealth inequality was assessed separately for all EAG states by calculating measures of concentration index (CI). Concentration curves (CC) were also plotted to see the difference in inequality. Results: Higher U5MR was observed in all EAG states compared with estimates for overall India. On comparing estimates of inequality, CI values show the substantial burden of U5MR among EAG states of India. The CC shows the lowest inequality in EAG states of India. Conclusion: The results suggested the need to receive various health strategy intercessions in agreement with the instance of ever-changing commitments of economic components to child health disparities in EAG states. Measuring the impact of determinants to wealth-related inequality in U5MR helps in lining up the interventions targeted at improving child survival.
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Sarkar, Raju. "Demographic Change and Urbanization in India with reference to Empowered Action Group (EAG) States: Some comments on socio-demographic development and policy implications." RESEARCH REVIEW International Journal of Multidisciplinary 3, no. 12 (2018): 377–83. https://doi.org/10.5281/zenodo.2483225.

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Empowered Action Group (EAG) states constitute 45.9 % share of India’s total population, where Uttar Pradesh secures highest rank and Uttarakhand the lowest among the EAG states. The objectives of this paper, to examine the demographic changes of population and level of urbanization in EAG states based on the secondary sources of data like: Census of India and Sample Registration System (SRS). It is to analyze patterns of population growth, birth and death rate, age-sex structure, literacy differential index in EAG states. The population growth and demographic structure are determined by variation in process of fertility, mortality, migration and age composition. The demographic characteristics of the EAG states are their high fertility rate, IMR, MMR, high population growth rate, low literacy rate. Based on 2011 census, the economically developed states more or less show higher levels of urbanization as compared to EAG states followed by Bihar (11.3 %), Orissa (16.6 %). But it is observed that among the eight EAG states, only two states have highest annual exponential growth rate (AEGR) i.e. Uttarakhand (3.5%) and Chhattisgarh (3.49%) in this decade. It also notably that, there was no negative AEGR recorded in 2001-2011. These states show a steady decline in fertility, low reproductive health of women and the relatively slower rise in contraceptive use. In the EAG states, concerted efforts are required to improve the education, health facilities, sanitation, urbanization and income etc.
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Kumari, Adity, and Sheela Misra. "Sociodemographic Determinants Influencing Diabetes in Eight EAG States of India." International Journal of Health Sciences and Research 14, no. 3 (2024): 1–10. http://dx.doi.org/10.52403/ijhsr.20240301.

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Introduction: In India Diabetes has been on the rise over the past few decades. India is one of the top nations having the greatest percentage of adult diabetics as of 2022. Men and women are affected differently by different lifestyle diseases hence separate measurements should be used to analyse their prevalence. Diabetes is measured by the glucose level in the blood. The objective of the current study is to determine the socio-demographic and health factors that are associated with Diabetes among women of reproductive age in the eight Empowered Action Group (EAG) states of India. Methods: The prevalence of Diabetes in different EAG states was determined using the NFHS-5 dataset, where glucose level was used as a measure of diabetes. Multivariable logistic regression was then employed to find the different sociodemographic and health indicators with Glucose level as a dependent variable among the non-pregnant women of reproductive age (15 – 49). Results: The association of diabetes in women was stronger for older age group, poor women of rural areas. Smoking is also a significant factor. The risk of diabetes also increases for those women who were overweight, anaemic, had thyroid, high waist-to-hip ratio and high blood pressure. Those women who had high frequency of healthy food intake are also at risk. Conclusion: The findings reveal that the design for targeted intervention from the eight EAG State Government and other stakeholders is required for rural women of higher age groups. The detailed state-level association will enable them to create evidence-based interventions to successfully stop the progression of diabetes and manage their complications. Key words: Glucose Level, NFHS-5, EAG States, Reproductive Age, Lifestyle diseases, Logistic regression.
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Chowdhury, Sourav, Nuruzzaman Kasemi, Aditya Singh, Mahashweta Chakrabarty, and Shivani Singh. "Decomposing the gap in undernutrition among under-five children between EAG and non-EAG states of India." Children and Youth Services Review 145 (February 2023): 106796. http://dx.doi.org/10.1016/j.childyouth.2022.106796.

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Kumar, Pradeep, Himani Sharma, and Kamalesh Kumar Patel. "Prevalence and risk factors of anaemia among men: A study based on Empowered Action Group states, India." Nutrition and Health 27, no. 2 (2021): 191–98. http://dx.doi.org/10.1177/0260106020982348.

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Background: Despite various programmes initiated by the Government of India, the nutritional indicators are not encouraging, as several problems like undernutrition, malnutrition and anaemia – still persist in the country, especially in the Empowered Action Group (EAG) states. Aim: Because of the dearth of studies regarding anaemia among men in India, the present study aimed to determine its prevalence in this population in the EAG states and to analyse its geographical and socio-demographic determinants. Methods: The study utilized nationally representative, cross-sectional survey data from round 4 of the National Family Health Survey conducted in 2015–16. Bivariate analysis along with binary logistic regression were performed to assess the predictors of anaemia among men in the EAG states. Results: Around a quarter of the men in the EAG states suffered from anaemia. A similar high-prevalence pattern was observed across the EAG states. Wherein, Bihar and Jharkhand had the highest prevalence of anaemia while Uttarakhand showed the lowest. Age, place of residence, marital status and caste were positively associated with the likelihood of anaemia among men in the EAG states. Conclusions: Focusing on the EAG states, this study considered the severity of anaemia as a public health problem among men. Strategies to reduce the burden of anaemia among this population are needed. The government should formulate programmes targeting anaemia specifically, and improving the nutritional status among men in general in the EAG states.
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Singh, Mritunjay P., and R. D. Singh. "Study on Child Mortality Determinants in EAG States and Assam." Journal of Statistics Applications & Probability 6, no. 3 (2017): 533–47. http://dx.doi.org/10.18576/jsap/060310.

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Showalter, Kathryn, Cecilia Mengo, and Mi Sun Choi. "Intimate Partner Violence in India: Abuse in India’s Empowered Action Group States." Violence Against Women 26, no. 9 (2019): 972–86. http://dx.doi.org/10.1177/1077801219848500.

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Married women in India experience intimate partner violence (IPV) at alarming rates. This study explores regional differences in Indian women’s physical IPV experiences by looking at the effect of living in eight Empowered Action Group (EAG) states. It is hypothesized that women in EAG states will be more likely to have experienced physical IPV than women living outside EAG states. A sample of 65,587 women was selected from the 2005-2006 India National Family Health Survey (NFHS-3). Counter to our hypothesis, logistic regression results show that living in an EAG state decreases likelihood of physical IPV in the past 12 months.
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Kumar, Rajeev, and Balram Paswan. "Changes in socio-economic inequality in nutritional status among children in EAG states, India." Public Health Nutrition 24, no. 6 (2021): 1304–17. http://dx.doi.org/10.1017/s1368980021000343.

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AbstractObjective:The primary purpose of this study is to examine changes in socio-economic inequality in nutritional status (stunting and underweight) among children in Empowered Action Group (EAG) states.Design:The study is based on the most recent two wave’s cross-sectional data from the National Family Health Survey (NFHS) conducted in 2005–2006 (NFHS-3) and 2015–2016 (NFHS-4). The study used height-for-age (stunting) and weight-for-age (underweight) of children as anthropometric indicators.Setting:EAG states including Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha, Rajasthan, Uttarakhand and Uttar Pradesh in India.Participants:The study includes a total of 11 858 (NFHS-3) and 92 630 (NFHS-4) children under 5 years of age.Result:The socio-economic inequality in stunting remained unchanged in all EAG states. At the same time, the inequality in underweight decreased during 2005–2016. On decomposing, the factors contributing to socio-economic inequality revealed that household wealth index, mother’s education and mother’s nutritional status were the largest contributors to stunting (47 %, 24 % and 8 %) and underweight (51 %, 21 % and 16 %), respectively, in 2015–2016.Conclusion:The study concluded the socio-economic inequality in underweight among children under 5 years of age increased over the years in EAG states in India. Altogether, household wealth index, mother’s education and mother’s nutritional status contributed to nearly 80 % to inequality in stunting and 90 % to inequality in underweight in 2015–2016. Hence, efforts should be made to minimise the socio-economic inequality in the nutritional status of children, particularly in EAG states in India.
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AROKIASAMY, P., KSHIPRA JAIN, SRINIVAS GOLI, and JALANDHAR PRADHAN. "HEALTH INEQUALITIES AMONG URBAN CHILDREN IN INDIA: A COMPARATIVE ASSESSMENT OF EMPOWERED ACTION GROUP (EAG) AND SOUTH INDIAN STATES." Journal of Biosocial Science 45, no. 2 (2012): 167–85. http://dx.doi.org/10.1017/s0021932012000211.

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SummaryAs India rapidly urbanizes, within urban areas socioeconomic disparities are rising and health inequality among urban children is an emerging challenge. This paper assesses the relative contribution of socioeconomic factors to child health inequalities between the less developed Empowered Action Group (EAG) states and more developed South Indian states in urban India using data from the 2005–06 National Family Health Survey. Focusing on urban health from varying regional and developmental contexts, socioeconomic inequalities in child health are examined first using Concentration Indices (CIs) and then the contributions of socioeconomic factors to the CIs of health variables are derived. The results reveal, in order of importance, pronounced contributions of household economic status, parent's illiteracy and caste to urban child health inequalities in the South Indian states. In contrast, parent's illiteracy, poor economic status, being Muslim and child birth order 3 or more are major contributors to health inequalities among urban children in the EAG states. The results suggest the need to adopt different health policy interventions in accordance with the pattern of varying contributions of socioeconomic factors to child health inequalities between the more developed South Indian states and less developed EAG states.
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Dissertations / Theses on the topic "EAG states"

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Pandey, Amare Ketsela Tesfaye and Amrit. "Empirical Evaluation of Machine Learning Algorithms based on EMG, ECG and GSR Data to Classify Emotional States." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3673.

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The peripheral psychophysiological signals (EMG, ECG and GSR) of 13 participants were recorded in the well planned Cognition and Robotics lab at BTH University and 9 participants data were taken for further processing. Thirty(30) pictures of IAPS were shown to each participant individually as stimuli, and each picture was displayed for five-second intervals. Signal preprocessing, feature extraction and selection, models, datasets formation and data analysis and interpretation were done. The correlation between a combination of EMG, ECG and GSR signal and emotional states were investigated. 2- Dimensional valence-arousal model was used to represent emotional states. Finally, accuracy comparisons among selected machine learning classification algorithms have performed. Context: Psychophysiological measurement is one of the recent and popular ways to identify emotions when using computers or robots. It can be done using peripheral signals: Electromyography (EMG), Electrocardiography (ECG) and Galvanic Skin Response (GSR). The signals from these measurements are considered as reliable signals and can produce the required data. It is further carried out by preprocessing of data, feature selection and classification. Classification of EMG, ECG and GSR data can be conducted with appropriate machine learning algorithms for better accuracy results. Objectives: In this study, we investigate and analyzed with psychophysiological (EMG, ECG and GSR) data to find best classifier algorithm. Our main objective is to classify those data with appropriate machine learning techniques. Classifications of psychophysiological data are useful in emotion recognition. Therefore, our ultimate goal is to provide validated classified psychological measures for the automated adoption of human robot performance. Methods: We conducted a literature review in order to answer RQ1. The sources used are Inspec/ Compendex, IEEE, ACM Digital Library, Google Scholar and Springer Link. This helps us to identify suitable features required for the classification after reading the articles and papers that are peer reviewed as well as lie relevant to the area. Similarly, this helps us to select appropriate machine learning algorithms. We conducted an experiment in order to answer RQ2 and RQ3. A pilot experiment, then after main experiment was conducted in the Cognition and Robotics lab at the university. An experiment was conducted to take measures from EMG, ECG and GSR signal. Results: We obtained different accuracy results using different sets of datasets. The classification accuracy result was best given by the Support Vector Machine algorithm, which gives up to 59% classified emotional states correctly. Conclusions: The psychophysiological signals are very inconsistent with individual participant for specific emotion. Hence, the result we got from the experiment was higher with a single participant than all participants were together. Although, having large number of instances are good to train the classifier well.<br>The thesis is focused to classify emotional states from physiological signals. Features extraction and selection of the physiological signal was done, which was used for dataset formation and then classification of those emotional states. IAPS pictures were used to elicit emotional/affective states. Experiment was conducted with 13 participants in cognition and Robotics lab using biosensors EMG, ECG and GSR at BTH University. Nine participants data were taken for further preprocessing. We observed in our thesis the classification of emotions which could be analyzed by a combination of psychophysiological signal as Model A and Model B. Since signals of subjects are different for same emotional state, the accuracy was better for single participant than all participants together. Classification of emotional states is useful for HCI and HRI to manufacture emotional intelligence robot. So, it is essential to provide best classifier algorithms which can be helpful to detect emotions for developing emotional intelligence robots. Our work contribution lies in providing best algorithms for emotion recognition for psychophysiological data and selected features. Most of the results showed that SVM performed best with classification accuracy up to 59 % for single participant and 48.05 % for all participants together. For a single dataset and single participant, we found 60.17 % accuracy from MLP but it consumed more time and memory than other algorithms during classification. The rest of the algorithms like BNT, Naive Bayes, KNN and J48 also gave competitive accuracy to SVM. We conclude that SVM algorithm for emotion recognition from a combination of EMG, ECG and GSR is capable of handling and giving better classification accuracy among others. Tally between IAPS pictures with SAM helped to remove less correlated signals and to obtain better accuracies. Still the obtained results are small in percentage. Therefore, more participants are probably needed to get a better accuracy result over the whole dataset.<br>amarehenry@gmail.com ; Mobile: 0767042234 amrit.pandey111@gmail.com ; Mobile : 0704763190
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Poiseau, Éric. "Traitement du signal appliqué à l'analyse des signaux EEG et ECG enregistrés pendant le sommeil." Compiègne, 1993. http://www.theses.fr/1993COMPD592.

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Ce mémoire concerne l'analyse des signaux EEG et ECG enregistrés pendant le sommeil en vue de l'identification automatique des différents stades du sommeil et de l'évaluation quantitative de l'effet de certaines drogues sur les paramètres électrophysiologiques les caractérisant. Le premier chapitre est un chapitre d'introduction qui présente les différents stades du sommeil. Il présente les conditions expérimentales d'acquisition des signaux utilisés pour l'évaluation des algorithmes décrits dans les chapitres suivants. Le second chapitre est consacré à l'exposé de méthodes d'analyse des signaux EEG durant le stade 2 du sommeil. Deux approches complémentaires ont été développées et validées. La première repose sur une technique de filtrage adapté. Le signal EEGB est convolué avec des "templates" simulant des formes types de fuseaux de sommeil et de complexes-K. La détection repose sur un algorithme multicritères mettant en jeu des seuils d'amplitude de durée et d'énergie. La deuxième approche utilise une analyse spectrale multi-canaux afin d'étudier la répartition énergétique de l'EEG à la surface du scalp en vue de la localisation de l'activité fuseau. Ces deux analyses mettent en évidence la présence de fuseaux de sommeil pendant les stades 3 et 4 du sommeil. Le troisième chapitre traite de l'étude de la variabilité du rythme cardiaque durant les différents stades du sommeil. Un algorithme pour la détection automatique des complexes QRS est proposé. Le processus de reconnaissance retenu repose sur l'étude des pseudo-périodicités morphologiques au sein du signal ECG. Il combine analyse morphologique et approche physiologique. L'algorithme a été utilisé pour l'étude des variations de l'intervalle R-R en fonction des différents stades du sommeil et de l'effet de substances pharmacologiques. Il est montré que certaines variations de l'intervalle R-R pourraient être utilisées pour prévoir les changements dans l'architecture du sommeil.
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Zeaiter, Hayssam. "Analyse des stades de sommeil et de veille chez les nouveaux-nés prémarturés par évaluation des signaux EEG et ECG." Compiègne, 2001. http://www.theses.fr/2001COMP1337.

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L'objectif principal de cette thèse est la détection automatique des stades de sommeil chez les nouveau-nés prématurés à partir de l'électroencéphalogramme (EEG). Deux objectifs complémentaires sont l'évaluation de la relation température-sommeil ainsi que la relation température-maturité de la partie autonome du système nerveux central (SNC). Le but souhaité est de trouver la relation transitive entre le sommeil et la maturité du SNC. Nous avons appliqué deux méthodes de détection d'événements par traitement du signal. La première méthode, basée sur le principe de la construction d'une base de données à partir des paramètres temporaux et spectraux, est appelée méthode de détection et de classification automatique (MDA). Celle-ci a fourni des résultats encourageants puisque le taux moyen de bonne détection varie de 37 à 47% selon le protocole utilisé. La deuxième méthode est appelée méthode de détection par analyse des moments statistiques (MDM). Celle-ci est très satisfaisante puisque le taux de bonne détection varie de 77% à 85%. Pour évaluer la relation entre température et sommeil, nous avons réalisé une étude statistique (test ) sur 20 sujets (données cliniques), pour évaluer l'influence du changement de température sur la distribution et la durée des stades dans un cycle de sommeil. Les résultats ont montré une relation forte entre la température ambiante et le sommeil surtout dans un milieu froid. Enfin, pour évaluer la relation entre température et maturité de la partie autonome du SNC, nous avons utilisé des techniques nommées PIB (puissance instantanée dans une bande de fréquence sur l'EEG) et PTI (information mutuelle entre EEG et l'électrocardiogramme (ECG)) sous l'influence du changement de température ambiante.
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Mathew, Blesy Anu. "ENTROPY OF ELECTROENCEPHALOGRAM (EEG) SIGNALS CHANGES WITH SLEEP STATE." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_theses/203.

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We hypothesized that temporal features of EEG are altered in sleep apnea subjects comparedto normal subjects. The initial aim was to develop a measure to discriminate sleep stages innormals. The longer-term goal was to apply these methods to identify differences in EEGactivity in sleep apnea subjects from normals. We analyzed the C3A2 EEG and anelectrooculogram (EOG) recorded from 9 normal adults awake and in rapid eye movement(REM) and non-REM sleep. The EEG signals were filtered to remove EOG contamination. Twomeasures of the irregularity of EEG signals, Sample Entropy (SpEn) and Tsallis Entropy, wereevaluated for their ability to discriminate sleep stages. SpEn changes with sleep state, beinglargest in Wake. Stage 3/4 had the smallest SpEn (0.57??0.11) normalized to Wake values,followed by Stage 2 (0.72??0.09), REM (0.75??0.1) and Stage 1 (0.89??0.05). This pattern wasconsistent in all the polysomnogram records analyzed. Similar pattern was observed in leadO1A2 as well. We conclude that SpEn may be useful as part of a montage for assessing sleepstate. We analyzed data from sleep apnea subjects having obstructive and central apnea eventsand have made some preliminary observations; the SpEn values were more similar across sleepstages and also high correlation with oxygen saturation was observed.
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Mazzonetto, Ilaria. "EEG source reconstruction accuracy and integration of simultaneous EEG-fMRI resting state data." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3422668.

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The resting state functional magnetic resonance imaging (fMRI) approach has allowed to investigate the large scale organization of processing systems in the human brain, revealing that it can be viewed as an integrative network of functionally interacting regions. However, to date the neuronal basis of the fluctuations of the fMRI signal at rest are not fully understood, preventing the possibility to elucidate their functional role. In this scenario, the integration with information derived from electroencephalography (EEG) is very useful, since conversely from fMRI, EEG represents a direct measure of neuronal activity. EEG-fMRI resting state studies investigating the correlation between fMRI signals and corresponding global EEG spectral characteristics in single spectral bands have provided a certain degree of inconsistency in the results. This may be due to the fact that the distinct functional networks involve more than a single frequency band and therefore analysis of simultaneous EEG/fMRI data should consider the whole frequency spectrum. A couple of studies have been performed in this directions but they either did not investigate how the scalp distribution of the EEG spectral metrics affects the patterns of correlations between EEG spectral dynamics and fMRI-derived resting state network or did not identify the specific scalp regions that specifically determined the pattern of observed results. To overcome this gap, with the aim to identify specific spatio-spectral fingerprints of distinct networks, a first study was conducted using an analytical approach that allows to take into account the interplay between the different EEG frequency bands and the corresponding topographic distribution within each network. Specifically, this approach was applied to four sub-components of the Default Mode Network (DMN). Results revealed for the first time the presence of distinctive subcomponent-specific spatial-frequency patterns of correlation between the fMRI signal and EEG rhythm. It should however be noted that spatial resolution of the EEG signal is too low to reliably infer about the location of the involved EEG sources. Therefore, a further step forward could be to try extending the findings of the first study in this direction by performing a source estimation study. Since it is not clear whether the 64 channels EEG system employed in the first study can provide adequate localization performance as regard our regions of interest, an investigation of the source reconstruction accuracy throughout the brain was performed in a second study. Specifically, the 64-channel montage was compared to 32-channel montage, the standard in the clinical practice, as well as to 128-channel montage and to 256- channel montage, considered as the upper reference point. Unlike previous studies, source performances were evaluated all over the cortical grey matter. Results indicate that the localization of the cortical sources of the spatio-spectral fingerprints revealed by the previous study can be adequately inferred by using 64 channels, but a confirmation study with a 128, or even better 256, channels montage is needed. Moreover, particular attention should be paid to investigate deep regions, where localization performance is worse regardless the number of electrodes used.<br>Gli studi di risonanza magnetica funzionale (fMRI) in resting state hanno permesso di studiare l'organizzazione del cervello umano su ampia scala, rivelando che esso può essere visto come una rete di regioni funzionalmente connesse (networks). Ad oggi, però, le basi neurali delle fluttuazioni del segnale fMRI nelle varie regioni nella condizione di resting non sono pienamente comprese e ciò impedisce di chiarire il loro ruolo funzionale. In questo scenario, l'integrazione con l'informazione derivata dall'elettroencefalografia (EEG) è molto utile poiché questa,contrariamente alla risonanza magnetica funzionale, fornisce una misura diretta dell'attività neuronale. Finora, gli studi EEG-fMRI in condizioni di riposo che valutano le correlazioni fra il segnale fMRI e le caratteristiche spettrali del segnale EEG in una singola banda di interesse hanno portato a risultati tra loro incosistenti. Questo può essere dovuto al fatto che network funzionalmente distinti possono coinvolgere più di una singola banda, e quindi andrebbe analizzato l'intero spettro delle frequenze. Alcuni studi sono stati condotti in questa direzione ma o non hanno studiato come la distribuzione delle frequenze sullo scalpo influenza i pattern di correlazioni, o non hanno individuato quali regioni dello scalpo determinano in maniera specifica il pattern dei risultati osservati. Per superare questo limite, con lo scopo di identificare gli specifici correlati spazio-spettrali dei vari networks, un primo studio è stato condotto usando un approccio analitico che permette di considerare la relazione tre le differenti bande di frequenza EEG e la corrispondente distribuzione topografica all'interno di ciascun network. Specificatamente, questo approccio è stato applicato a quattro sottocomponenti del Default Mode Network. I risultati hanno rilevato per la prima volta la presenza di specifici pattern spazio-spettrali di correlazioni tra il segnale fMRI di un network e i diversi ritmi EEG. Dato che la risoluzione spaziale dell'EEG non permette di fare precise inferenze sulla localizzazione spaziale delle sorgenti neurali corrispondenti, un ulteriore passo in avanti potrebbe essere quello di estendere questi risultati con uno studio di ricostruzione delle sorgenti corticali. Inoltre, visto che non è chiaro se il sistema EEG a 64 canali utilizzato nel primo studio possa fornire performance accettabili, è stato fatto un secondo studio volto a valutare l’adeguatezza di questo sistema allo scopo. Nello specifico, l'accuratezza nel localizzare le sorgenti EEG ottenuta con il montaggio a 64 canali è stata confrontata con quelle ottenute con montaggi a 32 canali, lo standard in clinica, a 128 e a 256 canali. Diversamente da studi precedenti, le performance sono state valutate su tutto lo scalpo. I risultati indicano che le sorgenti corticali dei correlati spazio-spettrali dei network individuati nello studio precedente possono essere localizzate con una risoluzione spaziale adeguata usando 64 canali, sebbene sia necessario uno studio confermativo con 128 o 256 canali. Inoltre, andrebbe prestata particolare attenzione nel caso vengano investigate regioni cerebrali più profonde, nelle queli le performance sono basse a prescindere dal numero di canali utilizzato.
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Koch, Gary D. "Re-engineering the United States Marine Corp's Enlisted Assignment Model (EAM) /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA350140.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, June 1998.<br>Thesis advisor(s): Hemant Bhargava, Suresh Sridhar. "June 1998." Includes bibliographical references (p. 129-130). Also available online.
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Koch, Gary D. Jr. "Re-engineering the United States Marine Corp's Enlisted Assignment Model (EAM)." Thesis, Monterey, California. Naval Postgraduate School, 1998. http://hdl.handle.net/10945/26723.

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Approved for public release, distribution is unlimited<br>In a time of downsizing and budgetary constraints the Manpower division of Headquarters, United States Marine Corps, accomplishes its mission to put the right Marine in the right place at the right time with the right skills and quality of life" in a variety of ways. Currently, one of the processes that assist the Marine Enlisted Assignments branch is the Enlisted Assignment Model. The current system is not producing the results that are needed and the current managers do not tmst the output. This thesis proposes changes to the EAM user interface, data access, and data storage capabilities to enable the Marine Corps to use the latest information technology to more closely mirror the vision as stated above. With the use of Business Process Reengineering, Process Modeling, and Database Design a prototype is developed to address areas of the current system that can be changed. By using these methods to ensure an appropriate interface with optimization techniques, a complete Decision Support System for manpower assignments can be realized. These changes will empower managers to effectively and efficiently manage, not just monitor manpower readiness in order to meet the challenges of the 2l% century.
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Hamburg, Sarah. "Resting-state EEG in adults with Down syndrome." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10048443/.

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Individuals with Down syndrome (DS) show a high degree of inter-subject variability in cognitive ability. Elucidating factors associated with variability in cognitive function can inform us about intellectual disability severity and potentially provide biomarkers of ability for clinical trials targeting cognition in individuals with DS (including trials aimed at preventing cognitive decline). Resting-state electroencephalography (EEG) can be used to obtain information about neural factors that may be underlying variability in cognitive function. This thesis uses eyes-open (EO; n=48) and eyes-closed (EC; n=36) resting-state EEG paradigms in adults with DS free from detectable signs of cognitive decline or dementia to identify EEG measures associated with general cognitive ability, and to investigate age-related changes in EEG activity in this population. Oscillations of interest were then modelled using dynamic causal modelling (DCM) to identify potential neurophysiological mechanisms underlying individual differences in general cognitive ability. Initial analysis suggested that individuals with DS have an overall slower EC EEG spectrum (and particularly strong differences in alpha activity) compared to typically-developing age-matched control subjects (open source control dataset used). Within individuals with DS, increasing age was associated with EEG changes in both paradigms. When controlling for age, higher general cognitive ability was associated with higher delta power (EO only), higher theta power (EC only), and higher alpha peak amplitude (EC only). Modelling the theta-alpha network identified “intrinsic self-inhibition” as the most important neurophysiological parameter underlying the relationship between theta-alpha activity and general cognitive ability in this sample. Further analysis revealed a strong inverse relationship between occipital intrinsic self-inhibition and general cognitive ability. Findings of this thesis enhance our understanding of neural factors associated with individual differences in general cognitive ability in adults with DS, provide a potential biomarker of ability for clinical trials, and indicate potential targets for cognitive enhancement in this population. The finding that increased inhibition may be associated with cognitive impairment in this population is in keeping with animal model literature and warrants further investigation.
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Krenzke, Shaun R. "Housing for empowerment : more than just a place to eat, sleep, and watch TV." Virtual Press, 2004. http://liblink.bsu.edu/uhtbin/catkey/1305456.

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I began this investigation by asking a question. What is a possible design solutionthat can enable people who live-in or seek-out affordable housing to inhabit a structure that is more than a shelter, but a place they are proud to return to, bring friends to, and live in?The first portion of this thesis documents the need for affordable housing in the United States. Franklin Roosevelt, in 1944 before United States Congress, listed one of the economic rights of every citizen to be, "the right of every family to a decent home." Less money is being spent building new affordable housing or maintaining existing housing than at any other time in our history. The need for affordable housing continues to grow while the amount of available units continues to decline. There will always be a need for affordable housing in the United States. Some people will move out, but there will be new people with a need. I believe housing should be more than merely shelter. The rundown big box affordable housing we are all familiar with does not empower the people who occupy it to live their lives or easily better themselves. They are isolated in location and by negative connotation. There are a growing number of architects who have taken on the challenge to help people to better themselves, when they are unable to themselves. The four architectural precedents that are documented in the second portion of this thesis have dedicated their lives and abilities to creating better affordable housing that aids in allowing citizens, reguardless of race, ethnicity, or income (economic status), to benefit from their physical environment. Examples of each architectural firm's work are presented. I examine the design and participatory processes that enabled the architects to empower the people who live in their well-designed affordable housing.The final portion of this thesis focuses on stating and justifying seventeen design principles to enable people to create decent affordable housing based on the research and interviews. These principles investigate the ideas of being human, giving the sense of ownership to the people who live in affordable housing, being contextually respectful to one's neighborhood and community, being environmentally friendly, being modifiable or changeable for the different people who live in it over time, and respecting each family's specific story and enabling them to express their life and lifestyle. This thesis expresses the design principles of housing for empowerment.<br>Department of Architecture
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Giacobbe, Martina. "Analysis of transient states in EMG signals with applications to robotic prostheses." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15861/.

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The purpose of this thesis is to analyze and classify EMG signals for prosthetic control. For transradial amputees the electrical signal of muscles is acquired, processed and classified with the final scope of moving a prosthetic hand. This signal has a first transient state related to the dynamic part of the movement starting from rest and a subsequent steady state which corresponds to the sustained and voluntary contraction. Up to now the classification has been performed only on the steady state, instead in this thesis we will include also the transient. The classification of the transient, due to its instability, is more difficult than for a stationary signal, however it can help to speed up the time necessary to move the prosthesis. In order to do that we use different instruments of pattern recognition and we show that in many situations the transient already provides a good classification, compatible with the steady state. Nevertheless the results depend on the abilities of the single patient.
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Books on the topic "EAG states"

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Nair, Rajesh J. The immunization coverage in EAG states and Assam: A comparative study with Kerala based on NFHS-III data. Population Research Centre, University of Kerala, 2009.

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Schappert, Susan M. Office visits for otitis media: United States, 1975-90. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1992.

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Schappert, Susan M. Office visits for otitis media: United States, 1975-90. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1992.

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Stern, Jane. 500 things to eat before it's too late and the very best places to eat them. Houghton Mifflin Harcourt, 2009.

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Smoot, Frank. Eau Claire County. Arcadia, 2005.

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Service, United States Postal. EAS applicant information. U.S. Postal Service, 1989.

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Koch, Gary D. Re-engineering the United States Marine Corp's Enlisted Assignment Model (EAM). Naval Postgraduate School, 1998.

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Foley, Ray. 1,001 sandwiches you must eat before you die. Sourcebooks, Inc., 2010.

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J, Goode J., ed. Eat with your hands. HarperCollins, 2012.

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Warshaw, Hope S. Eat out, eat right!: A guide to healthier restaurant eating. Surrey Books, 1992.

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Book chapters on the topic "EAG states"

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Khamzaev, Dilaver. "Regionalisation of International Initiatives: Case Study of the Eurasian Group on Combating Money Laundering and Financing of Terrorism (EAG)." In International Political Economy Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55341-7_5.

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AbstractThe Eurasian Group on Combating Money Laundering and Financing of Terrorism (EAG), as a Financial Action Task Force (FATF)–style regional body (FSRB), synchronises national legislations across Central Asia to combat money laundering and financing terrorism through FATF mechanisms, aiming to eliminate external stresses on large economies. However, the hardening of FATF’s soft law approach through establishing power relationships with international organisations and several states, as well as mutual evaluation practices has been questioned given the imposition of minority interests on the majority through involvement in FATF activities. But, the role of individual states in FSRB activities, which directly coordinates the anti-money laundering and combating the financing of terrorism (AML/CFT) regime in the region, has received scant scholarly attention. Thus, using open-source data from the official EAG website and its mutual evaluation reports, I evaluated the level of participation of member-states in its activities. My analysis revealed the dominance of one state (the Russian Federation) in EAG activities, despite the presence of other economically strong member-states (China and India). This chapter shows that flexible FATF governance practices, aimed at synchronising national AML/CFT legislation, can enable dominant economies to influence regional territories aligned with their geopolitical interests.
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Rinju and Abhishek Sharma. "Continuum of Care for Maternal and Child Health in India and EAG States." In Health and Nutrition of Women and Children in Empowered Action Group States of India. Routledge India, 2023. http://dx.doi.org/10.4324/9781003430636-8.

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Bhandari, Pravat, and Suryakant Yadav. "Nutritional, Bio-Demographic and Socioeconomic Determinants of Neonatal Mortality in the EAG States of India." In Health and Nutrition of Women and Children in Empowered Action Group States of India. Routledge India, 2023. http://dx.doi.org/10.4324/9781003430636-4.

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Mishra, Rudra Narayan. "Utilisation of Integrated Child Development Services (ICDS) and Nutritional Outcomes in Empowered Action Group (EAG) States of India." In Health and Nutrition of Women and Children in Empowered Action Group States of India. Routledge India, 2023. http://dx.doi.org/10.4324/9781003430636-14.

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Chakraborty, Monalisha, and Subrata Mukherjee. "Association between Parental Migration and Undernutrition Among the Children Left Behind in Rural Empowered Action Group (EAG) States, India." In Health and Nutrition of Women and Children in Empowered Action Group States of India. Routledge India, 2023. http://dx.doi.org/10.4324/9781003430636-13.

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Barman, Bikash, and Pradip Chouhan. "Utilization of MHC Services in Empowered Action Group (EAG) States of India: Evidence from National Family Health Survey (NFHS)-4." In Population, Sanitation and Health. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40128-2_19.

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Gloss, David. "Status Epilepticus Classification." In Continuous EEG Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-31230-9_4.

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Cartagena, Ana M., and G. Bryan Young. "Neuroimaging in Status Epilepticus." In Continuous EEG Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-31230-9_16.

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Zachariah, Joseph, Jeff Britton, and Sara Hocker. "Super Refractory Status Epilepticus." In Continuous EEG Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-31230-9_23.

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Pichlmayr, Ina, Peter Lehmkuhl, and Ulrich Lips. "Stages of Anesthesia." In EEG Atlas for Anesthesiologists. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83161-4_6.

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Conference papers on the topic "EAG states"

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Sweeney-Fanelli, Timothy C., Ernesto Sola-Thomas, Naveenkumar G. Venkataswamy, Justin C. Au-Yeung, and Masudul H. Imtiaz. "Predicting Emotional States from Wearable ECG." In 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2024. http://dx.doi.org/10.1109/uemcon62879.2024.10754745.

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Patel, Mitali, Ansh Mendpara, Santosh Kumar Satapathy, Malay Thumar, Ronit Patel, and Rajesh Mohapatra. "Sleep Stages Classification Based on Diverse Resting-State Multi-Channel EEG Using Deep Learning." In 2024 IEEE 8th International Conference on Information and Communication Technology (CICT). IEEE, 2024. https://doi.org/10.1109/cict64037.2024.10899511.

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Li, Mingrui, Zuoxu Wang, Fan Li, and Jihong Liu. "Unveiling Designers' Cognitive States in Early Engineering Design Stages: An Autoencoder-DNN Approach based on EEG Data*." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711658.

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Zhang, Yimeng, Qinghao Xu, Wenbo Ding, and Xi Tian. "Wearable Ear Sensor for Physiological States Monitoring." In 2024 IEEE International Conference on Smart Internet of Things (SmartIoT). IEEE, 2024. https://doi.org/10.1109/smartiot62235.2024.00049.

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Dwivedi, Amit Kumar, Om Prakash Verma, and Sachin Taran. "EEG-Based Mental States Prediction of Driver." In 2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2025. https://doi.org/10.1109/sami63904.2025.10883297.

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Shoaie, Elham, and Mohammad Bagher Shamsollahi. "Evaluation of EEG Microstates and Their Correlation with ECG in Major Depressive Disorder in Resting-State." In 2024 31st National and 9th International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2024. https://doi.org/10.1109/icbme64381.2024.10894996.

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Kumar, Jayasheel, Deepak Kumar Soni, Ginni Nijhawan, Krishna Chythanya Nagaraju, Tamam Ali Abd Ulabbas Abedi, and P. Subhashini. "Hybrid Machine Learning and Deep Learning Models for Mental State Classification Using EEG and ECG Signals." In 2025 International Conference on Intelligent Control, Computing and Communications (IC3). IEEE, 2025. https://doi.org/10.1109/ic363308.2025.10956870.

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Rajeev, Arathy, and Sandeep Kumar. "Investigating EEG Biomarker Profiles Across Neurodegenerative Disease States." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10738968.

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Kalahasti, Deepesh V. V., Edward Sazonov, and Evie Malaia. "Identification of hunger and satiety states from EEG data." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782290.

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Huang, Zhiying, Yuang Meng, Ao Guo, Walid Brahim, and Jianhua Ma. "Leveraging ECG Signal for People Identification under Different Emotion States." In 2024 IEEE Cyber Science and Technology Congress (CyberSciTech). IEEE, 2024. https://doi.org/10.1109/cyberscitech64112.2024.00087.

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Reports on the topic "EAG states"

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Stone, N. J. Table of Nuclear Electric Quadrupole Moments. IAEA Nuclear Data Section, 2021. http://dx.doi.org/10.61092/iaea.a6te-dg7q.

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This Table is a compilation of experimental measurements of static electric quadrupole moments of ground states and excited states of atomic nuclei throughout the periodic table. To aid identification of the states, their excitation energy, half-life, spin and parity are given, along with a brief indication of the method and any reference standard used in the particular measurement. Experimental data from all quadrupole moment measurements actually provide a value of the product of the moment and the electric field gradient (EFG) acting at the nucleus. Knowledge of the EFG is thus necessary to extract the quadrupole moment. A single recommended value of the moment is given for each state, based, for each element, wherever possible, upon a standard reference moment for a nuclear state of that element studied in a situation in which the electric field gradient has been well calculated. For several elements one or more subsidiary reference EFG/moment references are required and their use is specified. The literature search covers the period to April 2021.
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Vollbrecht, J., P. Eronen, N. Petroni, and Y. Ohba. State Machines for Extensible Authentication Protocol (EAP) Peer and Authenticator. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4137.

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Madsen, Jens, Nikhil Kuppa, and Lucas Parra. The Brain, Body, and Behaviour Dataset - Neural Engineering Lab, CCNY. Fcp-indi, 2025. https://doi.org/10.15387/fcp_indi.retro.bbbd.

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When humans engage with video, their brain and body interact in response to sensory input. To investigate these interactions, we recorded and are releasing a dataset from N=178 participants across five experiments featuring short online educational videos. This dataset comprises approximately 110 hours of multimodal data including electrocardiogram (ECG), heart rate, respiration, breathing rate, pupil size, electrooculogram (EOG), gaze position, saccades, blinks, fixations, head movement, and electroencephalogram (EEG). Participants viewed 3-6 videos (mean total duration: 28±5 min) to test attentional states (attentive vs. distracted), memory retention (multiple-choice questions), learning scenarios (incidental vs. intentional), and an intervention (monetary incentive). Demographic data, ADHD self-report (ASRS), and working memory assessments (digit span) were collected. Basic statistics and noteworthy effects: increased alpha power in a distracted condition, broadband EEG power increases from posterior to anterior scalp, increased blink-rate, and decreased saccade-rate in distracted and intervention conditions. All modalities are time-aligned with stimuli and standardized using BIDS, making the dataset valuable for researchers investigating attention, memory, and learning in naturalistic settings.
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Kimble, Ashley, Derek Muensterman, Liliana Cahuas, et al. Extraction and analysis of per- and polyfluoroalkyl Substances (PFAS) from Meals Ready-to-Eat (MRE) films using GC-MS and LC-MS/MS. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47114.

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This work was in response to the Defense Logistic Agency’s (DLA) Subsistence Network Broad Agency Announcement, BAA-0003-16 addressing 2019 NDAA Section 329 that states packaging materials used for Meals Ready-to-Eat (MRE) that contact food products must be free of per- and polyfluoroalkyl substances (PFAS). This was addressed by determining the presence or absence of PFAS on MREs by extraction followed by gas chromatography mass spectrometry (GC-MS) and liquid chromatography tandem mass spectrometry (LC-MS/MS). Any samples positive for PFAS were quantitated using LC triple quadrupole (QqQ) MS at the US Army Engineering and Research Development Center (ERDC) and by high resolution quadrupole time-of-flight (qTOF) MS and GC-MS at Oregon State University (OSU).
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Kanjilal, Partha P., Candace B. Matthew, Reed W. Hoyt, and Richard R. Gonzalez. Relationships of the Cardiac Signal and Heat Acclimated State: Spectral Profiles from ECG Analysis. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada392102.

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Herbert, Siân. Maintaining Basic State Functions and Service Delivery During Escalating Crises. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2021.099.

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This rapid literature review explores how to maintain essential state functions and basic service delivery during escalating conflict situations. It draws on literature and ideas from various overlapping agendas including development and humanitarian nexus; development, humanitarian and peacebuilding nexus (the “triple nexus”); fragile states; state-building; conflict sensitivity; resilience; and conflict prevention and early warning. There has been an extensive exploration of these ideas over the past decades: as the international development agenda has increasingly focussed on the needs of fragile and conflict-affected contexts (FCAS); as violent conflicts have become more complex and protracted; as the global share of poverty has become increasingly concentrated in FCAS highlighting the need to combine humanitarian crisis strategies with longer-term development strategies; as threats emanating from FCAS increasingly affect countries beyond those states and regions e.g. through serious and organised crime (SOC) networks, migration, terrorism, etc; and as global trends like climate change and demographic shifts create new stresses, opportunities, and risks.
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Luesink, H. H., R. Postma, M. J. W. Smits, L. van Schöll, and T. J. de Koeijer. Effect afzet mestverwerkingsproducten bij wettelijke status kunstmest of EG-meststof. LEI Wageningen UR, 2016. http://dx.doi.org/10.18174/378271.

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Wilcoski, James. Seismic testing of a static power static transfer switch. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42461.

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This test report documents seismic qualification testing of a Static Power Static Transfer Switch (STS). The STS is a mission-critical unit that will be installed at Eareckson Air Station (EAS), on the island of Shemya, Alaska. Two units were built, one of which was tested on the ERDC-CERL shake table on 10 November 2020, and the other delivered to EAS for installation. This report presents details on the STS configuration, seismic tests conducted, and the performance of the unit. The unit passed the final seismic test and can now confidently be installed at the EAS.
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Ufer, Danielle J. Animal welfare and treatment label claims in U.S. table eggs. U.S. Department of Agriculture, Economic Research Service, 2025. https://doi.org/10.32747/2025.9015814.ers.

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Animal welfare and treatment label claims are increasingly prevalent for U.S. retail table eggs. A wide inventory of claims addressing housing (e.g., cage-free, free-range, pasture-raised), exogenous substance use and feeds (e.g., no added antibiotics or hormones, vegetarian-fed), and third-party humane or comprehensive certifications (e.g., organic, United Egg Producers certified, Certified Humane, and American Humane Certified) are available to U.S. table egg consumers. Retail premiums for products bearing specialty claims are the market incentives for producers to adopt alternative production practices to meet consumer demands. Stability or consistency of premiums is essential to supporting markets for alternative production. This report examines the retail premiums, or discounts, for animal welfare and treatment claims in U.S. table eggs and assesses the dynamics of those premiums from 2008 to 2018. The report also investigates the impacts of the 2014-15 highly pathogenic avian influenza (HPAI) outbreak and the passage of several State-level policies addressing the treatment of laying hens and the sale of eggs on the average retail premiums for animal welfare and treatment claims on table eggs sold between 2008 and 2018.--
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Soroko, S. I., and S. S. Bekshaev. NEW TECHNOLOGY OF CORRECTION OF NEUROPSYCHIC STATES USING BIOFEEDBACK REGULATION OF POWER AND LOCALIZATION OF ELECTRIC DIPOLE OF EEG. ГИЭФПТ, 2018. http://dx.doi.org/10.18411/j.raenjourn.s2018-1.

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