Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 92 for “"MLR"”.
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A Bayesian multilevel model for women unemployment in South Africa
… applied to a multilevel logistic regression (MLR) model. Secondary data acquired from the Demographic and Health survey (DHS) held in South Africa in 2016 was used in the study. Information criteria revealed that the random intercept model outperformed the MLR model of the null and random coe …
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Positive and negative immunoregulation of normal and tumor-bearing mouse T cell blastogenesis
Using the mixed lymphocyte reaction (MLR) as a correlate of cell-mediated immunity, an examination was made of positive and negative blastogenic immunoregulation by syngeneic peritoneal macrophages (M<sub>Φ</sub>) and splenic T cells from tumor-bearing mice (TBM). As analysis of T cell …
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Molecular Characterization of the Human Alloimmune Response
… are placed in a mixed lymphocytic reaction (MLR) and allowed to stimulate each other a powerful proliferative response is elicited, reflecting the degree of incompatibility at the major histocompatibiltiy loci. Such in vitro proliferations translate in vivo into graft rejection of stem cell …
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Molecular Characterization of the Human Alloimmune Response
… are placed in a mixed lymphocytic reaction (MLR) and allowed to stimulate each other a powerful proliferative response is elicited, reflecting the degree of incompatibility at the major histocompatibiltiy loci. Such in vitro proliferations translate in vivo into graft rejection of stem cell …
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Predictive Modeling of Sugarbeet Quality Using Vegetative Index, Statistical, and Artificial Neural Network Methods
… NDVI. Conventional multiple linear regression (MLR) models were created from late season canopy, field location, and sugarbeet quality information to both discover the predictive potential of MLR models and provide a baseline comparison tool for the ANN model predictions.<br /> Simple linear …
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A Machine-Learning Based Approach to Predicting Waterborne Disease Outbreaks Caused by Hurricanes
… coastal counties using multiple linear (MLR) and random forest regression (RFR) models. Then, we developed a binary random forest classifier (RFC) model to predict waterborne disease outbreaks (e.g., 0: no outbreak and 1: outbreak). Results of this study showed that the highest …
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Evaluating Predictive Models for Predicting Total Score of Beef Carcasses
… of First Order Multiple Linear Regression (MLR) with three machine learning techniques: K-Nearest Neighbors (KNN), Random Forest, and Gradient Boosting Machine (GBM).</p> <p>The analysis focuses on six key predictors: Hot Carcass Weight, Back Fat Thickness, Ribeye Area, Final Yield Grade, …
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Tumor-induced immunosuppression: Contribution of a high molecular weight inhibitor and Prostaglandin E2
… proliferation in the mixed lymphocyte reaction (MLR) and mitogen assays. The high mw inhibitory factor was apparently >67 kd, as shown by S-200 Sephacryl chromatography and gel electrophoresis. DEAE-Cellulose chromatography suggested that the pl of the inhibitory factor was < 7.7. lsoelectric …
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Neural Network Fatigue Life Prediction in Steel I-Beams Using Mathematically Modeled Acoustic Emission Data
… not more than 17%. Multiple linear regression (MLR) analysis is also performed on the four sets of mathematically modeled plastic deformation data as named above using the bounded Johnson and Weibull shape parameters. The MLR gives the best prediction for the Linearized method which has a …
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Neural Network Burst Pressure Prediction in Composite Overwrapped Pressure Vessels Using Mathematically Modeled Acoustic Emission Data
… respectively. Multiple linear regression (MLR) analysis subsequently required all nine bottles to obtain a -1.666 percent worst case error. From these results, it was concluded that mathematically modeled AE data can be analyzed with either a BPNN or MLR to provide extremely accurate burst …
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Raman Spectroscopic Modeling Of T- Lymphocyte Activation And Detection Of Acute Renal Allograft Rejection
… system by analyzing mixed lymphocyte reacted (MLR), Mitomycin C inactivated, and resting T lymphocytes at 785nm and 514.5nm wavelengths. Second, the <em>specificity </em> (the ability to distinguish T cells activated by different stimuli) of the system was determined by comparing the signatures …
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Carbon-efficient Wastewater Treatment Through Resource Recovery, Process Intensification, and Partial Denitrification Anammox
… Then, the effect of mixed liquor recycle (MLR) configurations on the process intensification through continuous-flow aerobic granulation was explored in plug flow reactors. The results demonstrated that MLR configuration could hinder the sludge granulation, but the hindrance could be …
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Characterising responses of the seagrass Posidonia Sinuosa to changes in light availability
… Australia, the minimum light requirement (MLR) of P. sinuosa at the depth limit was 8.5% of sub-surface irradiance. Shoot density and biomass consistently differed across the gradient while other morphological and growth differences between depths were inconsistent between location and …
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Ancestry Informative Markers Tailored to Hispanic Populations
… tested using multinomial logistic regression (MLR) and as few as 55 SNPs were robust to 90% for all populations studied. The panel of 234 SNPs was compressed by 65.8% to 80 SNPs by decreasing the influence of Honduras and the Dominican Republic SNPs with high country attributable mean FST …
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Prediction of HPLC Retention Index Using Artificial Neural Networks and IGroup E-State Indices
… compounds. A 10 fold multiple linear regression (MLR) ensemble model of the same data was developed for comparison. Molecular structure was described using IGroup E-State indices, a novel set of structure-information representation (SIR) descriptors, along with molecular connectivity chi and kappa …
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Auditory brainstem and middle-latency responses with optimized stimuli: experiments and models
… brainstem and middle latency responses (ABR and MLR). The main emphasis is put on the development and evaluation of an optimized (chirp) stimulus based on the concept of compensation for travel time differences along the basilar membrane. In Ch. 2 it is shown that, due to inclusion of activity …
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Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
… methods such as multiple linear regression (MLR) and fuzzy linear regression (FLR) as proposed by Tanaka and Ni in predicting manufacturing income, improvise of FCM method and FLR model proposed by Zolfaghari in predicting manufacturing income and measure the performance of MLR model, FLR …
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Using data analytics and laboratory experiments to advance the understanding of reservoir rock properties
… Moreover, the multiple linear regression (MLR) model was applied with the predictors based on the development stages to quantify the variations of reservoir petrophysical properties. The MLR model outcome indicated that certain variables were effectively correlated to the permeability. The …
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Macrophage regulation of the T cell allogeneic response during tumorigenesis
One-way mixed-lymphocyte reactions (MLR) were performed to determine qualitatively and quantitatively how macrophages and macrophage-derived factors (MDF), interacting with mouse spleen nonadherent (NA) subpopulations, affected the ability of NA cells to respond to allogeneic lymphocytes. …
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Evaluation of Desmoplasia, Inflammatory Markers, and Nutritional Status for Predicting Recurrence in Low-to-Intermediate Risk Differentiated Thyroid Cancer [Valutazione di desmoplasia, markers infiammatori e stato nutrizionale per la predizione del rischio di recidiva nel carcinoma differenziato della tiroide a rischio basso-intermedio]
… mentre gli indici Monocyte-to-Lymphocyte Ratio (MLR) e Prognostic Nutritional Index (PNI) sono stati calcolati su 337 pazienti utilizzando dati di laboratorio pre-trattamento con iodio radioattivo (RAI). Le analisi statistiche hanno evidenziato che una maggiore estensione della desmoplasia è …
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