Relevant bibliographies by topics / GLM

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'GLM'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "GLM"

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Kuswoyo, Anton. "EKSPLORASI AIR TANAH DENGAN METODE GEOLISTRIK SCHLUMBERGER DI DAERAH PESISIR KABUPATEN TANAH LAUT." Jurnal Purifikasi 13, no. 2 (December 30, 2020): 58–66. http://dx.doi.org/10.12962/j25983806.v13.i2.389.

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Intrusi air laut mengakibatkan polusi bagi air tanah, baik air tanah dangkal maupun air tanah dalam, yang merupakan sumber air bersih bagi penduduk. Khusus di daerah pesisir yang belum dilayanan air PDAM, masyarakat masih menggunakan air sumur dangkal sebagai sumber air bersih. Kendala utama sumur dangkal adalah mengalami kekeringan ketika musim kemarau dan mengalami intrusi air laut. Pengambilan data resistivitas dengan menggunakan metode geolistrik Schlumberger dilakukan pada sembilan titik lintasan. Hasil penelitian eksplorasi menunjukkan metoda geolistrik dapat digunakan untuk menentukan keberadaan air tanah. Hasil penelitian menunjukkan daerah penelitian mempunyai potensi air tanah yang layak untuk dimanfaatkan sebagai sumber air bersih. Potensi besar (ketebalan lapisan air tanah di atas 15 m) sebanyak 6 titik dari 9 titik penelitian, yakni berada pada titik GL1, GL3, GL5, GL6, GL7 dan GL9. Potensi sedang (ketebalan lapisan air tanah antara 5 – 15 m) sebanyak 3 titik lokasi, berada pada titik GL2, GL4 dan GL8. Keberadaan air tanah berada pada kisaran kedalaman 1 – 80 m.
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MIFTAHUDDIN, ANANDA PRATAMA SITANGGANG, NORIZAN MOHAMED, and MAHARANI A. BAKAR. "MODELLING INDIAN OCEAN AIR TEMPERATURE USING ADDITIVE MODEL." Journal of Mathematical Sciences and Informatics 2, no. 1 (June 30, 2022): 23–36. http://dx.doi.org/10.46754/jmsi.2022.06.003.

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In this study, we used the fluctuating air temperature dataset. The change is caused by data fluctuations, trend, seasonality, cyclicity and irregularities. The generalized additive model (GAM) data approach is used to describe these phenomena. The aim of this research is to find out the factors that affect the air temperature in the Indian Ocean, find a suitable model, and obtain the best model from three approximate methods, namely the Linear Model (LM), the Generalized Linear Model (GLM), and the GAM models, which use a dataset of factors that affect the temperature of the Indian Ocean (close to Aceh region). For the air temperature of α = 0.05, the significant effects are precipitation, relative humidity, sea surface temperature, and the wind speed. The LM, GLM and GAM models are quite feasible because they all meet and pass the classical hypothesis tests, namely the normality test, multicollinearity test, the heteroscedasticity test, and the autocorrelation test. The appropriate model is GAM model based on adaptive smoothers. Compared to the LM, GLM and GAM models, GAM model with the adaptive smoothers base gave smallest AIC values of 4552.890 and 2392.396 where modeling was without and with time variable respectively. Therefore, it can be said that the correct model used at air temperature is the GAM model for adaptive smoothers base.
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Van Oirbeek, Robin, Félix Vandervorst, Thomas Bury, Gireg Willame, Christopher Grumiau, and Tim Verdonck. "Non-Differentiable Loss Function Optimization and Interaction Effect Discovery in Insurance Pricing Using the Genetic Algorithm." Risks 12, no. 5 (May 14, 2024): 79. http://dx.doi.org/10.3390/risks12050079.

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Insurance pricing is the process of determining the premiums that policyholders pay in exchange for insurance coverage. In order to estimate premiums, actuaries use statistical based methods, assessing various factors such as the probability of certain events occurring (like accidents or damages), where the Generalized Linear Models (GLMs) are the industry standard method. Traditional GLM approaches face limitations due to non-differentiable loss functions and expansive variable spaces, including both main and interaction terms. In this study, we address the challenge of selecting relevant variables for GLMs used in non-life insurance pricing both for frequency or severity analyses, amidst an increasing volume of data and variables. We propose a novel application of the Genetic Algorithm (GA) to efficiently identify pertinent main and interaction effects in GLMs, even in scenarios with a high variable count and diverse loss functions. Our approach uniquely aligns GLM predictions with those of black box machine learning models, enhancing their interpretability and reliability. Using a publicly available non-life motor data set, we demonstrate the GA’s effectiveness by comparing its selected GLM with a Gradient Boosted Machine (GBM) model. The results show a strong consistency between the main and interaction terms identified by GA for the GLM and those revealed in the GBM analysis, highlighting the potential of our method to refine and improve pricing models in the insurance sector.
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Das, Rabindra Nath, and Jinseog Kim. "GLM and joint GLM techniques in hydrogeology: an illustration." International Journal of Hydrology Science and Technology 2, no. 2 (2012): 185. http://dx.doi.org/10.1504/ijhst.2012.047408.

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Ge, Tingting, Ping Sun, Xue Feng, Xiang Gao, Shuang Gao, Tangshun Wang, and Xiaoguang Shi. "Clinical features and risk factors of bilateral granulomatous lobular mastitis." Medicine 103, no. 17 (April 26, 2024): e37854. http://dx.doi.org/10.1097/md.0000000000037854.

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Granulomatous lobular mastitis (GLM) is an idiopathic inflammatory breast disease that tends to recur on the same side. With the accumulation of clinical cases, it has been observed that GLM can also occur contralaterally. Currently, most studies on GLM focus on treatment methods and risk factors for ipsilateral recurrence, and there are few reports on bilateral GLM. The study aimed to summarize the clinical characteristics of patients with bilateral GLM by reviewing their clinical data, and to discuss the risk factors affecting the occurrence of bilateral GLM. A retrospective study of the medical records database of patients with GLM admitted between May 2019 and August 2022 was performed. Patients were divided into bilateral GLM group (bilateral GLM group) and unilateral GLM patients (unilateral GLM group). Demographic and clinical characteristics, treatment, and follow-up were collected and analyzed. In this study, by reviewing the clinical data of 59 cases of bilateral GLM, we found that the median time between the onset of bilateral GLM on both sides was 6.63 (0–18) months. Additionally, because of the simultaneous or interval onset on both sides, the duration of the disease was longer compared to unilateral cases. Regarding the history of external hospital treatment, it was found that about 57.63% of patients with bilateral GLM received 2 or more treatment modalities, with a higher involvement of herbal medicine. Meanwhile, by counting the clinical data of the 2 groups of patients with bilateral GLM and unilateral GLM, it was shown by univariate analysis that fertility, nipple development, absolute CD4 value, and CD4/CD8 ratio were associated with contralateral onset of GLM in both groups, with inverted nipple being an independent risk factor.
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See, Garrett, Melanie Trenhaile-Gannemann, Daniel Ciobanu, Matthew L. Spangler, and Benny Mote. "66 A genome-wide association study for gestation length in swine." Journal of Animal Science 97, Supplement_2 (July 2019): 40. http://dx.doi.org/10.1093/jas/skz122.071.

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Abstract The objective of the current study was to conduct a genome-wide association on gestation length (GL) in different parities in swine. Sows (n = 831) belonging to the University of Nebraska – Lincoln resource population (Landrace X Nebraska Index Line) were utilized. GL was defined as the number of days between the final insemination and farrowing. Four traits, GL at parity 1, 2, 3 and 4 (GL1, GL2, GL3 and GL4, respectively) were investigated. Animals which were induced 24h prior to a farrowing event were removed from the analysis. Sows were genotyped with the Illumina SNP60 BeadArray. A Bayes C model with π=0.995 was implemented with fixed effects of contemporary group, development pen, diet, linear and quadratic terms for age at puberty (GL1; P < 0.01), and linear and quadratic terms for farrowing age (GL2; P < 0.01). Results are posterior means of 55,000 samples.Single marker association analysis (SMA) was performed in R utilizing a linear model on SNP from 1-Mb windows (n = 10) which explained the largest proportion of genetic variation in GL1. Top 10 (0.5% of all windows) 1-Mb windows accounted for a limited proportion of genetic variance, 7.75, 4.66, 3.45 and 2.05% in GL1, GL2, GL3 and GL4, respectively. Posterior mean heritability estimates (posterior SD) for GL1, GL2, GL3 and GL4 were 0.33 (0.06), 0.34 (0.07), 0.32 (0.08) and 0.20 (0.08), respectively. The top SNP (ASGA0017859, SSC4, 7.8 Mb) located in one of the two top common genomic regions associated with GL1, GL2 and GL3 displayed a difference of 1.1d in GL1 between alternate homozygotes (P < 0.01). The top SNP from nine of the ten regions were significant (P < 0.05) in the SMA. Two of these regions were in common with GL2 and GL3 where SNP with potential functional effects were found in ZFAT, MAML2 and CCDC82. Results suggest GL is a largely polygenic trait.
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SECHERRE, V. "Représentations lisses de GLm(D)GLm(D), III : types simples." Annales Scientifiques de l’École Normale Supérieure 38, no. 6 (November 2005): 951–77. http://dx.doi.org/10.1016/j.ansens.2005.10.003.

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Clemente, Carina, Gracinda R. Guerreiro, and Jorge M. Bravo. "Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting." Risks 11, no. 9 (September 12, 2023): 163. http://dx.doi.org/10.3390/risks11090163.

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Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume a linear relationship between a function of the response variable and the predictors, independence between the claim frequency and severity, and assign full credibility to the data. To overcome some of these restrictions, this paper investigates the predictive performance of Gradient Boosting with decision trees as base learners to model the claim frequency and the claim severity distributions of an auto insurance big dataset and compare it with that obtained using a standard GLM model. The out-of-sample performance measure results show that the predictive performance of the Gradient Boosting Model (GBM) is superior to the standard GLM model in the Poisson claim frequency model. Differently, in the claim severity model, the classical GLM outperformed the Gradient Boosting Model. The findings suggest that gradient boost models can capture the non-linear relation between the response variable and feature variables and their complex interactions and thus are a valuable tool for the insurer in feature engineering and the development of a data-driven approach to risk management and insurance.
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Brody, Dorje C., Lane P. Hughston, and Ewan Mackie. "General theory of geometric Lévy models for dynamic asset pricing." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2142 (February 29, 2012): 1778–98. http://dx.doi.org/10.1098/rspa.2011.0670.

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The geometric Lévy model (GLM) is a natural generalization of the geometric Brownian motion (GBM) model used in the derivation of the Black–Scholes formula. The theory of such models simplifies considerably if one takes a pricing kernel approach. In one dimension, once the underlying Lévy process has been specified, the GLM has four parameters: the initial price, the interest rate, the volatility and the risk aversion. The pricing kernel is the product of a discount factor and a risk aversion martingale. For GBM, the risk aversion parameter is the market price of risk. For a GLM, this interpretation is not valid: the excess rate of return is a nonlinear function of the volatility and the risk aversion. It is shown that for positive volatility and risk aversion, the excess rate of return above the interest rate is positive, and is increasing with respect to these variables. In the case of foreign exchange, Siegel's paradox implies that one can construct foreign exchange models for which the excess rate of return is positive for both the exchange rate and the inverse exchange rate. This condition is shown to hold for any geometric Lévy model for foreign exchange in which volatility exceeds risk aversion.
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Yang, SeungCheon, Hong Ki Min, Jin-Sil Park, Hyun Sik Na, Mi-La Cho, and Sung-Hwan Park. "A green-lipped mussel prevents rheumatoid arthritis via regulation of inflammatory response and osteoclastogenesis." PLOS ONE 18, no. 1 (January 20, 2023): e0280601. http://dx.doi.org/10.1371/journal.pone.0280601.

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Rheumatoid arthritis (RA) is a chronic inflammatory disorder characterized by progressive joint destruction. Green-lipped mussel (GLM) has chondro-modulatory and anti-inflammatory properties, but the mechanism underlying the effect of GLM on RA is unclear. To investigate the roles of GLM on the pathogenesis of RA, we examined the effects of GLM in collagen-induced arthritis (CIA) mice and osteoclast differentiation. GLM was orally administrated CIA mice at 3 weeks after chicken type II collagen (CII) immunizations. GLM reduced arthritis severity and the histologic score of CIA mice compared to vehicle. The expression of proinflammatory cytokines (TNF-α, IL-1β, and IL-17) was decreased in the ankle joints of GLM-treated CIA mice. The expression of CD4+ IL-17+ cells decreased in ex vivo splenocytes and the spleens of GLM-treated CIA mice. Moreover, GLM inhibited TRAP+ multinucleated cells among mouse bone marrow-derived monocytes/macrophages (BMM), and the expression of osteoclast-related genes in mouse BMMs and human monocytes in vitro. These results suggest that GLM has potential as a therapeutic agent that can improve disease by controlling pathologic immune cells and osteoclastogenesis.
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Dissertations / Theses on the topic "GLM"

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Godoy, Daniela Ferro de. "O Boto-cinza (Sotalia guianensis) no complexo estuarino lagunar de Cananéia: fatores associados ao uso de habitat." Universidade Federal de Juiz de Fora (UFJF), 2016. https://repositorio.ufjf.br/jspui/handle/ufjf/3147.

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CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
A modelagem pode ser utilizada para determinar a distribuição de uma determinada espécie em uma área. Deste modo, pode auxiliar na conservação de espécies ameaçadas. Neste estudo, modelos foram utilizados para avaliar a influência do habitat, do tipo de presas capturadas por pescadores artesanais e do Valo Grande sobre a presença do boto-cinza na região do Complexo Estuarino Lagunar de Cananéia. Os dados foram coletados entre janeiro de 2012 a novembro de 2014, durante três 3 saídas de campo por estação do ano. Estas saídas de campo foram realizadas em quatro setores pré-definidos, que foram percorridos em transecções lineares. O setor II foi o de maior ocorrência de botos, provavelmente pela proximidade com o oceano adjacente. A distribuição entre os setores foi mais homogênea nas estações mais frias, onde os valores das variáveis ambientais são mais estáveis. Os maiores agrupamentos de animais também foram encontrados no inverno. Os botos foram avistados em diversos valores das variáveis ambientais analisadas. No entanto, as maiores ocorrências foram registradas em águas mais turvas; profundidades maiores que 10 metros; salinidade acima de 10 ppm; e águas mais frias e nas marés de sizígias. A presença do cerco-fixo no estuário também influenciou positivamente a ocorrência dos botos, que utilizam essa armadilha de pesca como barreira, minimizando a fuga das suas presas. A tainha foi a categoria de peixe que teve a maior associação com a presença dos botos, seguida pela guaivira e prejereba. Já o parati e o camarão estuarino apresentaram uma influência negativa com a presença do boto. O modelo preditivo do Valo Grande mostrou que a descarga de água doce influencia de maneira negativa na presença dos botos. Pelo exposto, fica claro que os botos-cinza apresentaram uma distribuição heterogênea dentro do estuário estudado e as áreas de maior concentração merecem maior atenção na elaboração de estratégias de conservação.
Niche modelling can be used to determine the distribution of a particular species in an enviromental space (ecological niche). It may be important to help to preserve endangered species. Therefore, in this study, niche modelling was used to evaluate the influence of: the habitat; the artisanal fishermen‟s catch species; and the Valo Grande on the presence of the Guiana dolphins (Sotalia guianensis) in the Estuarine Lagunar Complex of Cananéia, Brazil. The data were collected in three fieldworks per season, from January 2012 to November 2014. The fieldworks took place in four predefinied sectors. These sectors were sampled using a line-transect method. The presence of the Guiana dolphin was observed mostly on sector II. Probably because of the proximity to the adjacent ocean. The distribution among sectors was more homogeneous in the short cool season, when the environmental variables are more stable. The larger dolphin clusters were found during the winter. Guiana dolphins were sighted in a great diversity of environmental conditions. Nonetheless, the highest occurrences were recorded in cooler and turbid waters; depths greater than 10 meters; salinity above 10 ppm; and during spring tides (technically known in Portuguese as 'maré de sizígia'). Furthermore, the presence of an artisanal fish trap, known locally as cerco-fixo, has positively influenced the occurrence of Guiana dolphins in the estuary. The dolphins use cerco-fixo fish traps to corner shoals and reduce the escape routes of their prey. The mullet (Mugil brasiliensis) was the fish species which had the highest positive correlation with the presence of dolphins, followed by the leatherjacket (Oligoplites saurus) and the tripletail (Lobotes surinamensis). On the other hand, the white mullet (Mugil curema) and the whiteleg shrimp (Litopenaeus vannamei) had a negative correlation with the presence of the Guiana dolphin. The data collected on the Valo Grande Channel showed that freshwater discharges decrease the presence of Guiana dolphins. We can conclude that the Guiana dolphins have an heterogeneous distribution within the studied estuary. Therefore, the areas of greatest ocurrence deserve greater attention in the development of preservation strategies.
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Moreno, Maria Paula Teixeira. "Environmental predictors of bottlenose dolphins distribution and core feeding densities in Galveston Bay, Texas." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3803.

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Coastal dolphins are often exposed to habitat degradation and direct interactions with humans. Major factors that influence dolphin distribution, critical for conservation concerns, are still poorly understood even for the bottlenose dolphin, the best-studied cetacean. To establish the environmental conditions that best predict occurrence of bottlenose dolphins and high feeding densities in Galveston Bay, I conducted a total of 367 boat surveys in five locations of the estuary, totaling 3,814.77 km of search effort. I counted groups of dolphins and measured surface water temperature, salinity, turbidity, total number of boats, shrimp vessels, and number of seabirds. Using geospatial tools, these data -- along with location, distance to the Gulf of Mexico and water depth -- were analyzed on a 500- m resolution grid. Temporal factors at daily and seasonal scales were also examined. Occurrence was modeled using a Generalized Additive Model and core feeding densities (i.e., feeding densities above 2 SD of the mean) were modeled with a Generalized Linear Model. A total of 1,802 dolphins in 262 groups were detected, 56.87% of which were feeding. I found that all factors except warm/cold seasons and turbidity were useful to predict dolphin distribution, which was related non-linearly to most predictors. Fewer variables were relevant in predicting core feeding densities. These were, in decreasing order of relevance, distance to the Gulf of Mexico, surface water temperature, depth, number of boats, and warm/cold seasons. Feeding was highly clustered and the main core areas, less than approximately 3 km2 wide, were stable across time of day and season. The majority of the occurrences (86.2%) and feeding groups (94%) were situated in two bay locations - Galveston Ship Channel (GSC) and Bolivar Roads (BRD) - that amounted to only one- fifth of the surveyed area. Compared to conditions in GSC and BRD when no dolphins were sighted, feeding cores weredeeper and more seabirds were observed. This fine-scale study of bottlenose dolphin distribution may contribute to a better understanding of habitat requirements for coastal dolphins. It also may provide information needed to minimize potential negative impacts to this population caused by human activities.
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Silva, Jairo Moreira Caetano da. "Risk modeling journey - GLM and impact analysis." Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/23313.

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Mestrado Bolonha em Actuarial Science
Generalized Linear Models (GLMs) are not a new topic. With increases in computing power and access to big data, actuaries have in fact been using GLMs in the insurance rating process for many years. Besides being well established, GLMs have straightforward interpretation which helps the com- munication with underwriters and the Product department. Although many theoretical works have been done regarding GLMs in the in- surance business, it is also important for actuaries to explore this subject in a work experience perspective. In this context, this project aims to present a practical view on the GLM model-building process from start to finish. This work is applied to the Liberty Seguros motor insurance policy database and different risk models are built considering the automotive perils with higher exposure. The model evaluation step shows how well the model built aligns with historical data, which means that it is possible to verify the model ability to predict the risk behavior for new datasets after model development. During the impact analysis, it is shown the suggested changes in the prices for specific variables and how it affects the overall price, which can help the company to improve the underwriting process and profitability.
Generalized Linear Models (GLMs) não são um tópico novo. Com o aumento da potência computacional e o acesso a big data, atuários têm de fato usado GLMs no processo de tarifação de seguros durante muitos anos. Além de ser bem consolidado, GLMs têm uma interpretação direta, o que ajuda a comunicação com subscritores e o departamento de Produto. Apesar de muitos trabalhos teóricos terem sido realizados acerca de GLMs aplicados à indústria de seguros, também se faz importante para atuários explorar este assunto sob a ótica da experiência profissional. Neste contexto, este projeto tem como objetivo apresentar uma visão prática de todo o processo de construção de modelo de risco baseado em GLMs. Este trabalho é aplicado à base de dados de apólices de seguro de automóvel da Liberty Seguros e são desenvolvidos diferentes modelos de risco considerando as coberturas automotivas de maior exposição. A etapa de avaliaçã do modelo mostra quão bem o modelo construído se alinha com os dados históricos, o que quer dizer que é possível verificar a capacidade do modelo em prever o comportamento do risco para novos conjuntos de dados após o desenvolvimento do modelo. Durante a análise de impacto, são mostradas as mudanças sugeridas nos preços para variáveis específicas e como isso afeta o preço geral, o que pode ajudar a companhia a melhorar o processo de subscrição e a lucratividade.
info:eu-repo/semantics/publishedVersion
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Milhinhas, Catarina Isabel Ralo. "Factors influencing the bat community in vineyards: the role of landscape characteristics, natural structures and management." Master's thesis, Universidade de Évora, 2019. http://hdl.handle.net/10174/25397.

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Fatores que influenciam a comunidade de morcegos em vinhas: o papel das caraterísticas da paisagem, estruturas naturais e gestão As vinhas são um sistema agrícola muito representado na Europa. Essas áreas apresentam baixos níveis de biodiversidade devido à simplificação da paisagem e ao elevado uso de pesticidas, o que reduz a disponibilidade de insetos e as torna pouco atrativas para morcegos. Nós investigámos o efeito da gestão, do tipo de uso do solo e das estruturas naturais na atividade e riqueza de morcegos em vinhas a duas escalas espaciais: 500 m (escala de vinha) e 1500 m (escala de paisagem). Os resultados demonstraram que as estruturas e os habitats naturais foram mais importantes para os morcegos do que a gestão da vinha. Nós sugerimos que as prioridades de conservação devem ser criar ou manter vegetação ripária e áreas de montado. Essas estruturas naturais são uma componente chave na gestão para promover o uso das vinhas por morcegos, aumentando o seu potencial como reguladores de pragas agrícolas; ABSTRACT: Vineyards are one of most represented agricultural systems in European landscape. These areas can present low biodiversity levels due to simplification of landscape and the high input of pesticides, which reduce insect availability and makes them unattractive for bats. We assessed the effect of farming management, land use type and natural structures on bat activity and species richness in vineyards at two spatial scales: 500 m (vineyard scale) and 1500 m (landscape scale). Our results demonstrate that natural structures and habitats were more important to the bat community than vineyard management. We suggest that conservation priorities should be to create or maintain riparian vegetation – near streams or small dams - and areas of “montados”. These natural structures are important for bat populations within or near vineyards, and a key component of agricultural management to promote bat use of vineyards, enhancing their role as pest regulators.
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Brodersson, Anna Lilly. "Flygbesiktning av Luftledningar : Modellering av samband mellan besiktningsanmärkningar och systemtillförlitlighet." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-219572.

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This paper thoroughly investigates needs and requirements for overhead distribution feeder inspection and develops models to investigate possible relations between short term inspections remarks and outages. The study was conducted in collaboration with Fortum Distribution AB that supplied extensive information about their overhead power feeders concerning both inspection and power outages. The investigated models where lognormal linear model, Poisson generalized linear model and negative binomial generalized linear model. All models were implemented utilizing offset terms to compensate for differences in feeder length and amount of overhead versus underground feeders. The Poisson generalized linear model was rejected at an early stage due to overdispersion and neither of the remaining models fit the data perfectly. There for conclusions were primarily concluded from similarities and differences amongst the models. The results either implicate that maintenance is scheduled sufficiently fast, with respect to short term inspection, to ensure a high system reliability or no relationships between short term inspection and feeder outages exist. Therefore the final conclusion was that maintenance and reinvestment decisions should not be based on short cycle inspection data.
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Van, der Walt Anchen. "Small holder farmers' perceptions, host plant suitability and natural enemies of the groundnut leafminer, Aproaerema modicella (Lepidoptera: Gelechiidae) in South Africa / Anchen van der Walt." Thesis, North-West University, 2007. http://hdl.handle.net/10394/1950.

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Štens, Radovan. "Analýza obrazových dat funkční magnetické rezonance (fMRI)." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-375489.

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Master's thesis focuses on processing fMRI data, which are mapping blood oxygenation level dependence in a state of brain activity. Usable and necessarily preprocessing tech- niques of the data, together with two main analysis approaches are introduced. The area of univariate methods, especially general linear model and multivariate principal or independent component analysis is explained. Practical application of the methods involved on the real fMRI data set is implemented. Relevant results as well as theirs mutual possible comparison is presented.
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Ali, Muhammad Younis. "Some aspects of fitting multinomial models in a GLM framework." Thesis, London Metropolitan University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540613.

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Azevedo, Venancio Guedes de. "\"Aspectos biológicos e dinâmica das capturas do tubarão-azul (Prionace glauca) realizadas pela frota espinheleira de Itajaí - SC, Brasil." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/21/21131/tde-13082004-111652/.

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Foram analisados dados referentes às capturas do tubarão-azul (Prionace glauca) pela frota espinheleira baseada na localidade de Itajaí (SC), operando nas regiões Sudeste e Sul do Brasil e em águas internacionais adjacentes, entre os anos de 1996 a 2002. Estes foram obtidos na forma de mapas de bordo, fichas de desembarque e através de embarques nesta frota. Com as informações biológicas dos cruzeiros ajustou-se equações para a conversão dos dados de peso eviscerado dos animais capturados das fichas de desembarques para comprimento total e peso total. Após convertidos, elaborou-se a distribuição de frequência das classes de comprimento mensais e a análise da captura acumulada. Com dados dos mapas de bordo, analisouse a captura por unidade de esforço (CPUE) em peso e em número de indivíduos. Posteriormente desenvolveu-se modelagem estatística com o uso do modelo linear generalizado (GLM) para avaliar a magnitude do efeito das variáveis temporais e espaciais sobre as CPUE’s. Verificou-se que o recrutamento por pesca ocorre entre maio e novembro, a ampliação da área de cópula para os 34º S, que as variáveis temporais influenciam mais nas CPUE’s do que as espaciais, a correlação positiva da latitude com as CPUE’s e negativa para a longitude e a necessidade de conservação deste importante grupo de predadores.
This study analyzed data from the capture of blue shark (Prionace glauca) by the longline fleet based in Itajaí, State of Santa Catarina, Brazil, operating in south and southeast regions and in international neighboring waters from 1996 to 2002. The data were collected in the form of logbooks, landing sheets and through research cruises personally conducted aboard the commercial fleet. Based on the biological information gathered from the cruises, equations were calculated in order to convert the data of carcass weight captured and listed in the landing sheets for total length and total weight. After data conversion, length frequency for each month and the analysis of accumulated capture was rebuilt. With the data from logbooks, CPUE/1000 hooks were analyzed in terms of kg and the number of individuals plotting of results. Statistical modeling was then developed with the use of GLM to assess the effect of time and space variables in CPUE’s. At the time of fishery recruitment between May and November, the following were observed: (i) the expansion of the mating area to 34º S (ii) time variables influenced more the CPUE’s than the space variables (iii) a positive correlation of the latitude with the CPUE’s and a negative correlation for longitude and (iv) the need for conservation of this important group of predators.
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Park, Jeanseong. "Longitudinal Data Analysis Using Generalized Linear Model with Missing Responses." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33355.

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Longitudinal studies rely on data collected at several occasions from a set of selected individuals. The purpose of these studies is to use a regression-type model to express a response variable as a function of explanatory variables, or covariates. In this thesis, we use marginal models for the analysis of such data, which, coupled with the method of estimating equations, provide estimators of the main regression parameter. When some of the responses are missing or there is error in the recorded covariates, the original estimating equation may be biased. We use techniques available in the literature to modify it and regain the unbiasedness property. We prove the asymptotic normality of the regression estimator obtained under these more realistic circumstances, and provide theoretical and numerical examples to illustrate this approach.
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Books on the topic "GLM"

1

Rutherford, Andrew. ANOVA and ANCOVA: A GLM approach. 2nd ed. Hoboken, N.J: Wiley, 2011.

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Rutherford, Andrew, and Andrew Rutherford. ANOVA and ANCOVA: A GLM approach. 2nd ed. Hoboken, N.J: Wiley, 2011.

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Introducing ANOVA and ANCOVA: A GLM approach. London ; Thousand Oaks, Calif: SAGE, 2001.

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Prokosch, Erich. Zusätze zum Supplement zu den Osmanischen Grammatiken (GLM 18). Graz: [Institut für Sprachwissenschaft Graz], 2012.

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1937-, Sen Pranab Kumar, ed. Nonparametric methods in general linear models. New York: Wiley, 1985.

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SAS/STAT 9. 2 User's Guide: The GLM Procedure (Book Excerpt). Cary: SAS Publishing, 2008.

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Bubblemania. New York: Aladdin, 1997.

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Kaise, Tetsuo. Représentations de Weil et GL2 Algèbres de division et GLn. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/bfb0077390.

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Center, Goddard Space Flight, ed. Radiation flux tables for ICRCCM using the GLA GCM radiation codes. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1986.

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Dalen, Dorrit van. Arabische gom: De fascinerende biografie van een van de meest exotische producten op aarde. Amsterdam: Bert Bakker, 2006.

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Book chapters on the topic "GLM"

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Wiley, Matt, and Joshua F. Wiley. "GLM 1." In Advanced R Statistical Programming and Data Models, 61–122. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-2872-2_3.

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Wiley, Matt, and Joshua F. Wiley. "GLM 2." In Advanced R Statistical Programming and Data Models, 123–64. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-2872-2_4.

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Zuur, Alain F., Elena N. Ieno, Neil J. Walker, Anatoly A. Saveliev, and Graham M. Smith. "GLM and GAM for Count Data." In Statistics for Biology and Health, 209–43. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-87458-6_9.

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Wüthrich, Mario V., and Michael Merz. "Generalized Linear Models." In Springer Actuarial, 111–205. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12409-9_5.

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AbstractThis chapter discusses state-of-the-art statistical modeling in insurance and actuarial science, which is the generalized linear model (GLM). We discuss GLMs in the light of claim count and claim size modeling, we present feature engineering, model fitting, model selection, over-dispersion, zero-inflated claim counts problems, double GLMs, and insurance-specific issues such as the balance property for having unbiasedness.
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Dhrymes, Phoebus J. "Applications: The GLM." In Mathematics for Econometrics, 202–21. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3238-2_8.

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Ohlsson, Esbjörn, and Björn Johansson. "GLM Model Building." In EAA Lecture Notes, 39–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10791-7_3.

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Pruscha, Helmut. "Verallgemeinertes Lineares Modell (GLM)." In Teubner Skripten zur Mathematischen Stochastik, 268–307. Wiesbaden: Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-322-90903-9_8.

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Ziv, Ronen. "The RNR-GLM Debate." In The Future of Correctional Rehabilitation, 159–94. New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315105505-7.

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Weston-Kirkegaard, S., J. M. Souhrada, B. Copouls, D. D. Dykes, and H. F. Polesky. "Glm(f) Immunoblot Procedure." In Advances in Forensic Haemogenetics, 466–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73330-7_91.

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Holm, Darryl D., Ruiao Hu, and Oliver D. Street. "On the Interactions Between Mean Flows and Inertial Gravity Waves in the WKB Approximation." In Mathematics of Planet Earth, 111–41. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40094-0_5.

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AbstractWe derive a Wentzel–Kramers–Brillouin (WKB) closure of the generalised Lagrangian mean (GLM) theory by using a phase-averaged Hamilton variational principle for the Euler–Boussinesq (EB) equations. Following Gjaja and Holm 1996, we consider 3D inertial gravity waves (IGWs) in the EB approximation. The GLM closure for WKB IGWs expresses EB wave mean flow interaction (WMFI) as WKB wave motion boosted into the reference frame of the EB equations for the Lagrangian mean transport velocity. We provide both deterministic and stochastic closure models for GLM IGWs at leading order in 3D complex vector WKB wave asymptotics. This paper brings the Gjaja and Holm 1996 paper at leading order in wave amplitude asymptotics into an easily understood short form and proposes a stochastic generalisation of the WMFI equations for IGWs.
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Conference papers on the topic "GLM"

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Yang, Yuchen, Ye Xiang, Shuaicheng Liu, Lifang Wu, Boxuan Zhao, and Bing Zeng. "GLM-Net." In MM '21: ACM Multimedia Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474085.3475556.

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Longenbaugh, Randolph. "Preliminary Comparison of Bolide Measurements by the Geostationary Lightning Mapper (GLM) GLM-17 and GLM-18." In Proposed for presentation at the GLM Science Meeting held September 13-15, 2022 in Huntsville, Al. US DOE, 2022. http://dx.doi.org/10.2172/2004569.

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Okuno, Alex, and Alberto Ferreira. "Generalized linear tree: a flexible algorithm for predicting continuous variables." In LatinX in AI at International Conference on Machine Learning 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai2021072420.

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Tree-based models are popular among regression methods to predict continuous variables. Also, Generalized Linear Models (GLMs) are pretty standard in many statistical applications and provide a generalization to many of the most commonly applied statistical procedures. However, in most regression tree methods, there is only one theoretical model associated for prediction in the final nodes, like multiple linear regression, logistic regressions, polynomial models, Poisson models, among others. We, therefore, propose a new tree method in which we estimate a GLM in each leaf node of the estimated tree including variable selection, new hyperparameters optimization, and tree pruning. Our method, called Generalized linear tree (GLT), has shown to be competitive compared to other well-known regression methods in real datasets, with the advantages and estimation flexibility provided by GLMs.
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Zhang, Fuchun, Yuwen Wang, Liang Wu, Mingtao Liu, Shunbo Hu, and Meng Li. "GLM-Net: A multi-scale image segmentation network for brain abnormalities based on GLCM." In 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2021. http://dx.doi.org/10.1109/cisp-bmei53629.2021.9624341.

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CARAKA, Rezzy Eko, Rung Ching CHEN, Toni TOHARUDIN, Isma Dwi KURNIAWAN, S. Asmawati, Doni ROPAWANDI, Muhammad Fijar Rotul AKBAR, INDRA, and Muh Fahmi RUSTAN. "Latent GLM Tweedie Distribution in Butterflies Species Counts." In Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aisr.k.200424.046.

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Yu, Lele, Lingyu Wang, Yingxia Shao, Long Guo, and Bin Cui. "GLM+: An Efficient System for Generalized Linear Models." In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2018. http://dx.doi.org/10.1109/bigcomp.2018.00050.

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Pan, X. L., and Z. S. Zao. "A method for dispersion compensation based on GLM theory." In Proceedings of APCC/OECC'99 - 5th Asia Pacific Conference on Communications/4th Optoelectronics and Communications Conference. IEEE, 1999. http://dx.doi.org/10.1109/apcc.1999.820525.

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Naufal, N., S. Devila, and D. Lestari. "Generalized linear model (GLM) to determine life insurance premiums." In PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5132463.

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Scott, Noah W., Douglas D. Hodson, Richard Dill, and Michael R. Grimaila. "Prediction and Convergence Calculations using Rust-based NAlgebra GLM." In 2021 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2021. http://dx.doi.org/10.1109/csci54926.2021.00340.

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Jafer, Shafagh, and Gabriel Wainer. "Global Lookahead Management (GLM) Protocol for Conservative DEVS Simulation." In 2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). IEEE, 2010. http://dx.doi.org/10.1109/ds-rt.2010.37.

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Reports on the topic "GLM"

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Peterson, Michael Jay. Overview of Physics-Based GLM Level-3 Products. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1578011.

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Federer, W. T., Z. D. Feng, M. P. Meredith, and N. J. Miles-McDermott. Annotated Computer Output for Split Plot Design: SAS GLM. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada190800.

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Mathew, Sonu, Srinivas S. Pulugurtha, and Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2119.

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This research project 1) evaluates the effect of road network, demographic, and land use characteristics on road crashes involving teen drivers, and, 2) develops and compares the predictability of local and global regression models in estimating teen crash frequency. The team considered data for 201 spatially distributed road segments in Mecklenburg County, North Carolina, USA for the evaluation and obtained data related to teen crashes from the Highway Safety Information System (HSIS) database. The team extracted demographic and land use characteristics using two different buffer widths (0.25 miles and 0.5 miles) at each selected road segment, with the number of crashes on each road segment used as the dependent variable. The generalized linear models with negative binomial distribution (GLM-based NB model) as well as the geographically weighted negative binomial regression (GWNBR) and geographically weighted negative binomial regression model with global dispersion (GWNBRg) were developed and compared. This research relied on data for 147 geographically distributed road segments for modeling and data for 49 segments for validation. The annual average daily traffic (AADT), light commercial land use, light industrial land use, number of household units, and number of pupils enrolled in public or private high schools are significant explanatory variables influencing the teen crash frequency. Both methods have good predictive capabilities and can be used to estimate the teen crash frequency. However, the GWNBR and GWNBRg better capture the spatial dependency and spatial heterogeneity among road teen crashes and the associated risk factors.
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Hengsdijk, Huib, Thierry Stokkermans, and Abel van Hoeven. Evaluatie van goede landbouw- en milieucondities 5 (GLMC-5) : GLB maatregelen voor bodembewerkingsbeheer in Zuid Limburg. Wageningen: Wageningen Plant Research, 2024. http://dx.doi.org/10.18174/644294.

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Hrvoic, I. Les instruments GEM (GEM Systems Inc., Canada). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1988. http://dx.doi.org/10.4095/226600.

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Cender, Clinton, Catherine Thomas, Martin Page, Bradley Sartain, Brianna Fernando, Musa Ibrahim, and Alec Wahl. Rapid algae flotation techniques. Engineer Research and Development Center (U.S.), October 2023. http://dx.doi.org/10.21079/11681/47704.

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Dissolved air flotation (DAF) is an effective technique for algae separation following the application of flocculants and coagulants. Some harmful algae produce mucilage or extracellular polymeric substances useful for flotation. This study evaluated natural polysaccharides to determine effects on algal flotation with DAF. Food-grade gums (xanthan gum, guar gum, gum arabic, gellan gum, and diutan gum) were tested with cyanobacteria cultures singly and in combination with commercial flocculants (including Tramfloc 222 and Tramfloc 300). Gum arabic alone had no effect when evaluated at concentrations between 10 mg/L and 5,000 mg/L. However, the combination of gum arabic and Tramfloc 300 yielded higher algal flocculation than Tramfloc 300 alone. The combination of xanthan gum (anionic) and guar gum (cationic) did not perform at the level of the combined xanthan gum and Tramfloc 222 in either flocculation or flotation of algae. Tramfloc 222 and xanthan gum; however, yielded effective flocculation seemingly resistant to changes in interfering factors such as turbulence, pH, and temperature. Furthermore, the combination of xanthan gum and Tramfloc 222 provided the most effective flotation and flocculation independent of pH effects. The results suggest that anionic polysaccharides can be used to increase the efficacy of cationic coagulants such as Tramfloc 222.
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Burdett, Samantha. Zipped and Glam. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-1020.

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Zhao, Binghao, Yu Wang, and Wenbin Ma. Comparative Efficacy and Safety of Therapeutics for Elderly Glioblastoma: a Bayesian Network Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0094.

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Review question / Objective: At this time, a comprehensive systematic review and network meta-analysis (NMA) was conducted to: (1) fill the research gap by giving rankings on treatment efficacy; (2) provide statistical evidence of not head-to-head comparisons; (3) seek out the best and up-to-date therapeutic strategy reported in latest RCTs; (4) address potential adverse events (AEs) of available treatments. Condition being studied: The incidence of glioblastoma (GBM) increases with age, until now, there has been less evidence on the optimal treatments for elderly GBM since only general GBM populations were included in clinical trials. Given the poor survival of elderly GBM, we collected randomized controlled trials about newly diagnosed GBM (ndGBM) and recurrent GBM, and conducted a Bayesian network meta-analysis on ndGBM regarding overall survival (OS) and progression-free survival (PFS). We revealed TTF + TMZ and TMZ + HFRT were likely to be best treatments for OS; BEV + HFRT and TMZ + HFRT were likely to be best options for PFS. Current study is the most comprehensive and powered network analysis on elderly GBM until now, it also provides more insights for elderly GBM management.
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Yu, J. GEM Chamber Characteristics Test. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/1973936.

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Polman, Nico, Jurrian Nannes, and Dora Lakner. Valideren vereenvoudigde kostenopties GLB. Wageningen: Wageningen Economic Research, 2023. http://dx.doi.org/10.18174/588280.

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