Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Capillary Heterogeneity on Buoyant Plumes: New Trapping Mechanism in Carbon Sequestration

vi List of Tables . xi List of Figures . xii Chapter 1: Introduction.1 1.1 Problem statement.1 1.1.1 The greenhouse effect: global warming . 1 1.1.2 Impacts of global warming . 5 1.2 Possible solutions.12 1.2.1 Build better cars.14 1.2.2 Modernize the electricity system.15 1.2.3 Increase energy efficiency . 15 1.2. 4 Protect threatened forests.15 1.2. 5 Storing carbon underground (geologic sequestration). 16 1.3 Research objectives.18 Chapter 2: Literature Survey . 22 2.1 Storage of CO2 in geologic formations . 22 2.1.1 Oil reservoirs . 23 2.1.2 Gas reservoirs . 24 2.1.3 Deep saline aquifers.25 2.1. 4 Coalbeds . 27 2.2 Feasibility of aquifer disposal . 28 2.3 Affecting parameters in aquifer disposal . 33 Chapter 3: Modeling the Sequestration Process . 39 3.1 GEM simulator.40 3.2 Aquifer model and initialization . 40 3.3 Fluid properties . 42 3.3.1 BIC: effect of CO2 solubility . 42 ix 3.3.2 VSP: effect of phase density.43 3.3.3 Viscosity . 44 3.3.4 Phase identity.46 3.4 Petrophysical properties.47 3.5 Rock-Fluid properties . 51 3.5.1 Relative permeability.51 3.5.2 Hysteresis in relative permeability . 53 3.5.3 Capillary pressure . 55 3.6 Capillary pressure scaling . 56 3.7 Leak model.61 3.8 Numerical methods . 63 Chapter 4: Simulation of CO2 Sequestration in Scaled Capillary Pressure Field.64 4.1 Base case model . 68 4.2 Effect of capillary pressure scaling.69 4.3 Effect of correlation length . 78 4.4 Dissolution of CO2 in brine.84 4.5 Summary and implications . 94 Chapter 5: Risk Analysis: Simulation of Leak in Scaled Capillary Pressure Field.95 5.1 Excessive CO2.96 5.1.1 Permeability field with 5 ft correlation length.97 5.1.2 Permeability field with 50 ft correlation length.103 5.2 Leakage scenario.107 5.3 Simulation of leak: Local capillary trapping . 108 5.3.1 Thin sealing layer (hshale=1 ft) . 108 5.3.2 Thick sealing layer (hshale=50 ft). 115 5.3.3 Thick sealing layer (hshale=50 ft) leaking to active aquifer.118 5.4 Summary and implications . 121 Chapter 6: Conclusions and Recommendations . 125 6.1 Conclusions.125 6.2 Recommendations.126
Effect of methyl jasmonate on production of ariltetralin lignans in hairy root cultures of Linum tauricum

Methyl jasmonate (MeJA) treatment increases the levels of plant secondary metabolites, including ariltetraline lignans, which are considered to be the main active compounds in Linum tauricum. This study was concentrated on the induction of production of ariltetralin lignans in hairy roots cultures of L. tauricum, transformed by Agrobacterium rhyzogenes, ATCC 15834 by exposing them to different concentrations (50-200 microM) of methyl jasmonate (MeJA) during the culture period. The content of 4'-demethyl-6-methoxypodo-phylotoxin (4'-DM­6MPTOX) and 6-methoxypodophyllotoxin (MPTOX), the main constituents in hairy roots of L. tauricum increased about 1.2 folds by elicitation of MeJA, however, the fresh weight, dry weight and growth ratio was inhibited by increasing MeJA concentrations. The highest total lignans yield was obtained with 150 microM MeJA treatment. These results suggest that MeJA elicitation is beneficial for lignan accumulation in the hairy roots cultures of L. tauricum.
Fading correlation and its effect on the capacity of multi-element antenna systems

We investigate the effect of fading correlations in multi-element antenna (MEA) communication systems. The enormous capacity of an MEA system can potentially be reduced by fading correlation. To model the narrowband Rayleigh-fading multipath environment, we propose an abstract model. Using this model, the fading statistics can be determined from the geometrical parameters of the MEA and the multipath environment. This, model allows us to directly observe how the choice of antenna geometry affects capacity. We show that the MEA capacity can be expressed as the sum of the capacities of several subchannels, whose gains are affected by the fading correlation. As the fading correlation becomes higher, the disparity between the gains of these subchannels becomes larger and as a result some of the subchannels do not convey information at any significant rate.
Voor een ander : beslissingsverantwoordelijkheden in de verpleeghuisgeneeskunde

What is the right thing to be done for this patient? This question is the central point in medicine. Usually physician and patient discuss what is needed and what is wanted. When the patient suffers from dementia or is otherwise not capable of deciding for herself, a third party enters the scene: a representative or proxy decision maker. Most of the time this is a family member of the patient. He or she has the task to decide on behalf of the patient. But even when you know each other well and have known each other for a long time, to decide for some one else is a difficult matter. And what, for example, is the significance of former preferences by the patient, and his of her actual expressions of will? In this thesis the theme of family involvement in the decision making for elderly nursing home patients is thought through, based on extensive patient histories gathered from qualitative research in nursing homes (using the method of participant observation). Central question is the relation between the responsibility of the physician versus the ideas of family members about what is the right thing to do for the patient.
Cognitive Radio Enabled Cache Map-and-Route Using Context Mapping and Decision Making Approach in Software Defined Networks

Cache management and resource scheduling schemes enhance the mobility and flow control in SDN. Dynamic and opportunistic spectrum accessing modes enhance the resource allocation and reduce the cache delays in CRN. In this paper, the proposed cognitive radio enabled cache map-and-route (CR-CMR) scheme considers the multi-layered framework using context mapping and decision making approach in SDN. User requests are classified based on mapped and unmapped contexts. CR-CMR control plane integrates the cognitive radio control unit, centralized SDN controller, context mapping unit (CMU), and decision making unit (DMU). The control plane interacts with the virtual plane and performs the cache map-and-route process. Base rule analyzes the context variance and cache variance. The decision-making rules apply step-wise decision approach to map the service requests of unmapped contexts and optimize the cache map-and-route process. The splay tree analysis applied at virtual cache centers improves the resource availability and minimizes the mapping cost. CR-CMR supports scalability and minimizes the cache variance. The virtual cache and data centers verify the route tables of one-hop, two-hop neighbors and establish the forward decision paths with optimal route cost and minimal latency in SDN.
Real-time Road Obstacle Detection Using Association and Symmetry Recognition

This paper presents a fast road obstacle detection system based on association and symmetry. This approach consists to exploit the edges extracted from consecutive images acquired by a stereo sensor embedded in a moving vehicle. The algorithm contains three main components: edges detection, association detection and symmetry calculation. The edges detection is achieved by using the canny operator and point corner to extract all possible edges of different objects at the image. The association technique is used to exploit relationship between the edges of two consecutives images by combining it with the moment operator. The symmetry is used as road obstacle validation; the road obstacles like vehicle and pedestrian have a vertical symmetry. The proposed approach has been tested on different images. The provided results demonstrate the effectiveness of the proposed method.
Effect of nutrient kinetics and cytoarchitecture on bacterioplankter size

Expanded specific affinity theory specifies the advantages of small dry mass and dilute cytoarchitecture in impoverished systems. For marine samples, bacterioplankton mean dry mass, according to flow cytometry, was near 24.5 fg cell−1. Conversion to volume with buoyant density gave a cell volume of 0.124 mm3 . Total DNA was 2.9 fg cell−1. This compared with the size of a single genome of a small extinction‐ culture isolate, Sphingomonas sp. RB2256, of 3.96 fg or 3.6 Mb. The genome size of such isolates and other cultures decreased with metabolic simplicity. It was found that bacterioplankton could be exposed to radiolabeled amino acids and then sorted for size and that the specific affinities of the fraction of small organisms were as great as the fraction of large cells. Size, DNA, and metabolic‐complexity distributions were concordant with the concepts that cell volume approaches a minimum set by sufficient space for the smallest genome that can provide sufficient information for competitive dissolved‐nutrient acquisition, and that space requirements are further alleviated by the expression of few cytoplasmic‐enzyme molecules in each of the various pathways and a dilute cytoplasm. Bacterioplankton approached a minimum genome size of 1.7 Mb with a minimum cell volume of about 0.06 mm3 and a DNA content of 16% dry weight. The property of small dry mass with a low DNA content was common in in situ bacteria but absent from cultivated representatives, which led to speculation that failure to grow in the laboratory is related to missing regulatory information.
Geometric methods for multi-robot planning and control

GEOMETRIC METHODS FOR MULTI-ROBOT PLANNING AND CONTROL Calin Belta Vijay Kumar Motion planning for a multi-robotic system refers to finding trajectories for each robot in a team so that a certain task is performed. In general, this problem is under-determined because of two main reasons. First, the tasks are usually specified in terms of reaching a final position starting from a given initial one. Mathematically, this translates to generating interpolating curves with given boundary conditions in a certain configuration space, problem which usually admits several solutions. One of the main ideas of this dissertation is that a natural way to solve this indeterminacy is to find a solution which is optimal with respect to a performance criterion, e.g., energy consumption. Second, especially in the case when the team is composed of large numbers of robots, the task might be specified in high level terms of the type “the robots should gather in a certain region of the space”. Explicitly generating individual trajectories, though feasible, is highly under-determined and computationally unattractive. The second main idea of the dissertation is that, in this case, the motion generation and control problems should be solved in a lower dimensional space which captures the behavior of the group and the nature of the cooperative task. First, we consider the problem of generating minimum kinetic energy motion for a rigid body in a 3D environment. We develop a computationally efficient method for interpolation on SE(3) that produces nearly optimal trajectories, which are also invariant v to changes in the reference frame. Second, we study the rigidity condition and develop a method of optimal motion planning for groups of robots required to maintain a rigid formation. In the third part of this work, we propose a method to control a large number of agents based on an abstraction of the configuration space of the robots to a lower dimensional manifold, which has a product structure of a Lie group, which captures the dependence of the ensemble on the world frame, and a shape manifold, which is an intrinsic description of the team. Illustrative experimental results are included.
Equilibrium and Stability Analysis of Takagi-Sugeno Fuzzy Delayed Cohen-Grossberg Neural Networks

This paper carries out an investigation into the problem of the global asymptotic stability of the class of Takagi-Sugeno (T-S) fuzzy delayed Cohen-Grossberg neural networks with discrete time delays. A new sufficient criterion for the uniqueness and global asymptotic stability of the equilibrium point for this class of fuzzy neural networks is proposed. The uniqueness of the equilibrium point is proved by using the contradiction method. The stability of the equilibrium point is established by employing a new fuzzy type Lyapunov functional. The obtained stability result is obtained with respect to the nondecreasing and slope-bounded activation functions it can be shown to be independent of time delays. The proposed result can be easily verified by using some commonly used norm properties of matrices.
A comparison of the contrast sensitivity function between age-matched phakic emmetropes and pseudophakic individuals with aspheric intraocular lenses

PURPOSE: The purpose of this study is to compare the contrast sensitivity function (CSF) between eyes of age-matched individuals with aspheric intraocular lens (IOL) and emmetropia. METHODS: A prospective hospital-based case–control study in South India was conducted to study the CSF in the eyes of patients between the ages of 50–60 years. The CSF was compared between those with emmetropia and those implanted with an indigenous aspheric IOL. Twenty-five consecutive patients were recruited in both groups. The independent sample t-test was used for analysis. RESULTS: The mean age was 53.08 ± 1.96 years and 57.68 ± 2.85 years in normal emmetropes and emmetropic pseudophakic with aspheric IOL, respectively. The mean CSF showed a statistically significant difference (P < 0.000) between the normal emmetropic eyes and pseudophakic eyes with the values being 1.91 and 1.572, respectively. CONCLUSION: The CSF was significantly better in the eyes of age-matched normal emmetropes when compared to those with an aspheric IOL implanted.
An Overview of Applications of DSTATCOM

Distribution STATic COMpensator (DSTATCOM) is used to mitigate many current quality problems like harmonics elimination, power factor correction, load balancing, noise cancellation and voltage quality problems like sag, swells, impulses, voltage unbalances, fluctuations. Many research papers have been critically studied and applications of DSTATCOM are classified into suitable categories. Typical applications in these categories are presented in this paper.
A Zero-Timing Overhead SET Mitigation Approach for Flash-based FPGAs

Reliability of Integrated Circuits (ICs) is nowadays a major concern for sub-micron technologies especially when they are adopted in mission critical applications. The decreasing of device feature size leads to an increasing of the device sensitivity against Single Event Effects (SEEs), especially Single Event Transients (SETs), induced particle strikes within the device silicon structure. Flash-based FPGA is a golden core for aerospace safety critical applications; however, traditional SET mitigation solutions, such as filter insertion, can lead to performance degradation of the implemented design. In this paper, we provide a new implementation flow that is able to evaluate the SET phenomena considering its specific convergence case and effectively mitigate the SETs without introducing any performance penalization to the original netlist. Experimental results on different sets of benchmark circuits demonstrated the mitigation of SET events without affecting the timing performances of the circuits.
A Retrospective Claims Analysis of the Utilization of Services by Medicaid-Enrolled Adults Seeking Treatment for Major Depressive Disorder (MDD) in Washington State

A Retrospective Claims Analysis of the Utilization of Services by Medicaid-Enrolled Adults Seeking Treatment for Major Depressive Disorder (MDD) in Washington State Elizabeth A Hutter Chair of the Supervisory Committee: Aaron Katz Department of Health Services Washington State has a shortage of mental health providers and estimates show that the state is only meeting 40% of the need for mental health services for the Medicaid population (The Kaiser Commission on Medicaid and the Uninsured, 2014). This study evaluates whether Medicaid-enrolled adults in Washington State receive adequate treatment for Major Depressive Disorder (MDD) when compared to recommended treatment guidelines. This study used publicly available claims data from September 1, 2014, through September 30, 2015 to conduct an observational retrospective cohort study where a diagnosis of MDD was the eligibility criterion to be included in the study (N=11,463). Evaluation of adequate treatment for MDD was separated into three groups that include minimally adequate psychotherapy, minimally adequate pharmacotherapy, and inadequate treatment. In this study 30% of subjects received adequate psychotherapy (95% confidence interval, 29.1% to 30.9%), less than 1% of subjects received adequate pharmacotherapy (95% confidence interval, 0.0004% to 0.002%), and 70% of subjects received inadequate treatment for their diagnoses of MDD (95% confidence interval, 69.1% to 70.8%). This study found statistically significant associations between inadequate depression treatment and age, race/ethnicity, location of initial diagnosis, and depression subtype. These study results are consistent with previous research and confirm that Washington is not immune to the disparities that exist in the mental health services provided to Medicaid-enrolled adults across the United States.
Compressive Sensing-Based Channel Estimation for FBMC-OQAM System Under Doubly Selective Channels

Filter-bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) has been considered as an alternative scheme to orthogonal frequency division multiplexing (OFDM). However, the traditional channel estimation techniques of the OFDM cannot be directly applied to the FBMC-OQAM system because of the real-field orthogonality of the FBMC-OQAM signals. Although traditional channel estimation techniques, such as least square (LS) and minimum mean square error (MMSE), are widely applied to the FBMC-OQAM system via canceling the intrinsic imaginary interference from adjacent data symbols, the LS algorithm is subject to noise enhancement and it results in large mean square error (MSE), while the mmse algorithm needs to know the statistical information of channel in advance. Due to sparsity of the wireless channel, channel estimation is investigated as a compressive sensing (CS) problem. In this paper, we first introduce the coding method to cancel intrinsic imaginary interference for the FBMC-OQAM system. Then, a novel sparse adaptive subspace pursuit (SASP) method is proposed to improve the accuracy of LS channel estimation. Finally, we develop two distinctive algorithms, namely, auxiliary pilot (AP) SASP and coding-SASP, to estimate channel frequency respond (CFR) in the FBMC-OQAM system. The simulation results show that the AP-SASP and coding-SASP algorithms can offer a low complexity and fewer measurements compared with conventional orthogonal matching pursuit (OMP) and regularized OMP (ROMP) methods. Moreover, the proposed AP-SASP and coding-SASP algorithms have a better bit error ratio (BER) performance than the conventional OMP and ROMP methods for FBMC system in the doubly selective channels.
A 12-bit 100-MS/s 83 dB SFDR SAR ADC with sampling switch linearity enhanced technique

A 12-bit 100-MS / s 83dB SFDR SAR ADC with sampling switch linearity enhanced technique is proposed. With the variation of input signals, the parasitic capacitance variation of sampling switch is reduced and the total parasitic capacitance is also depressed. Moreover, with substrate boost technique, the on-impedance of sampling switch would decrease. To demonstrate the proposed technique, a design of 12- bit 100-MS / s SAR ADC is fabricated in 40-nm CMOS technology, consuming 2mW from 1V power supply with a SNDR > 65dB and SFDR > 83dB. The proposed ADC core occupies an active area of 0.02mm 2 , and the corresponding FoM is 13.8fJ / conversion-step with Nyquist frequency.
Answer selection using Word Alignment based on Part of Speech Tagging in community question answering

This paper explain about answer selection using word alignment based on POS tagging in Community Question-Answering (CQA). This online community allowed the user to ask and reply related to the question problems which has no restrictions. This causes inappropriate comments with the question problems proposed before. To solve these problems, combining lexical and semantic features has been developed with result conclude that the approach more adequate for similarity task rather than question answering. According to the previous research, there is several problems that can be enhanced. First, vector representation counts exactly matched words, so it does not effective to cover other words that have relatedness between two pairing words. Second, noun overlap for similarity measure in pairing words can’t define that the two words are similar. So, it must be define that the pairing POS tag is the same meaning or relatedness. In this study, unsupervised lexical and semantic similarity method employed with different approach from previous method in verbatim and contextual similarities. The data was taken from SemEval 2017 competition which focus on Question-Answer Similarity task. The experiment result for precision (Mean Average Precision) score shows the improvement from 0.674 to 0.6845, 1.03 % higher than previous research in CQA. This improvement comes from lexical similarity, which is not just from noun pattern but also taken from verb pattern. Furthermore, semantic similarity has an important role in determining which words that have same pattern and meaning to define relevancy between them.
Clinical Investigation of Congenital Factor Affecting Craniofacial Morphology of Unilateral Cleft Lip and Palate in Japanese Patients

Objective: To evaluate the craniofacial morphology of Japanese patients with unilateral cleft lip and palate and to evaluate the multiple congenital factors that affects craniofacial morphology in unilateral cleft lip and palate patients. Material and Methods: Lateral cephalograms of 140 subjects with unilateral cleft lip and palate were taken before any orthodontic treatment and alveolar bone graft. Subjects mean age was 6.85 ±1.56 years. Primary surgeries performed by surgeons from Hokkaido University Hospital. The craniofacial morphology of the 140 subjects was assessed by angular and linear cephalometric measurements. Gender, side of cleft, complete/incomplete type of cleft, presence/absence of lateral incisor in the affected side, family history of cleft and family history of skeletal Class III was chosen as congenital factors. To compare the assessments using congenital factors affecting craniofacial morphology in the unilateral cleft lip and palate subjects, angular and linear cephalometric measured values from each individual subject (control group) were converted into Z scores in relation to the means and standard deviation of the two parameters. Results: Twelve out of 13 craniofacial morphology outcomes were insignificant in 5 out of 6 dependent variables. Only 1 dependent variable showed 3/13 significant differences. Conclusion: Current study revealed the evidence that there were almost no significant differences in the craniofacial morphology outcome among various congenital factors. This will provide base line information and help determine the effectiveness of such factors.