A Geometric Consistency Model of Virtual Camera for Vision-Based SLAM Simulation

Emerging adulthood is a time of instability. This longitudinal study investigated the relationship between mental health and need satisfaction among emerging adults over a period of five years and focused on gender-specific differences. Two possible causal models were examined: (1) the mental health model, which predicts that incongruence is due to the presence of impaired mental health at an earlier point in time; (2) the consistency model, which predicts that impaired mental health is due to a higher level of incongruence reported at an earlier point in time. Emerging adults (N = 1,017) aged 18–24 completed computer-assisted telephone interviews in 2003 (T1), 2005 (T2), and 2008 (T3). The results indicate that better mental health at T1 predicts a lower level of incongruence two years later (T2), when prior level of incongruence is controlled for. The same cross-lagged effect is shown for T3. However, the cross-lagged paths from incongruence to mental health are marginally associated when prior mental health is controlled for. No gender differences were found in the cross-lagged model. The results support the mental health model and show that incongruence does not have a long-lasting negative effect on mental health. The results highlight the importance of identifying emerging adults with poor mental health early to provide support regarding need satisfaction.

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Blood Flow Pattern and Anastomotic Compliance for Interrupted versus Continuous Coronary Bypass Grafts

The Heart Surgery Forum ◽

10.1532/hsf.740 ◽

2005 ◽

Vol 6 (2) ◽

pp. 65 ◽

Cited By ~ 14

Author(s):

Marc Gerdisch ◽

Thomas Hinkamp ◽

Stephen D. Ainsworth

Keyword(s):

Blood Flow ◽

Vessel Wall ◽

Coronary Bypass ◽

Bypass Grafts ◽

Cross Sectional ◽

Coronary Bypass Grafts ◽

Geometric Consistency ◽

Suturing Technique ◽

Suturing Techniques ◽

Key Indicators

Background: Use of the interrupted coronary anastomosis has largely been abandoned in favor of the more rapid continuous suturing technique. The Coalescent U-CLIP anastomotic device allows the surgeon to create an interrupted distal anastomosis in the same amount of time that it would take to create a continuous anastomosis. This acute bovine study examined the effect of the anastomotic technique on blood flow and vessel wall function. Methods: End-to-side coronary anastomoses were created in an open chest bovine model using the left and right internal thoracic arteries and the left anterior descending coronary artery. All other variables except suturing technique were carefully controlled. In each animal, one anastomosis was completed using a continuous suturing technique and the other was performed in an interrupted fashion using the Coalescent U-CLIP anastomotic device. Volumetric flow curves through each graft were analyzed using key indicators of anastomotic quality, and anastomotic compliance was evaluated using intravascular ultrasound. Luminal castings were created of each vessel to examine the interior surface of each anastomosis for constrictions and deformities. Results: The interrupted anastomoses created with the Coalescent U-CLIP anastomotic device showed significant differences with respect to anastomotic compliance, pulsatility index, peak flow, and percentage of diastolic flow. The cross-sectional area and degree of luminal deformity were also different for the two suturing techniques. Conclusions: In this acute bovine model, interrupted coronary anastomoses demonstrated superior geometric consistency and greater physiologic compliance than did continuously sutured anastomoses. The interrupted anastomosis also caused fewer disturbances to the flow waveform, behaving similarly to a normal vessel wall. The combination of these effects may influence both acute and long-term patency of the coronary bypass grafts.

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“Analytical Techniques for Development Planning” (A Review Of Tims' Multisector Model For Pakistan'S Third Plan (1965-70))

The Pakistan Development Review ◽

10.30541/v8i2pp.240-263 ◽

1968 ◽

Vol 8 (2) ◽

pp. 240-263

Author(s):

Azizur Rahman Khan

Keyword(s):

Analytical Techniques ◽

Development Planning ◽

General Idea ◽

Relative Prices ◽

Scarce Resources ◽

Sectoral Output ◽

Consistency Model ◽

Present Decade ◽

Optimizing Model ◽

Multisector Model

In the present decade there has been a great proliferation of multisectoral models for planning. Part of the incentive has certainly been the potentiality of their application in formulating the actual plans. By now there have been so many different types of multisectoral models that it is useful to attempt some kind of classification according as whether or not they embody certain well-known features. The advantage of such a classification is that one gets a general idea about the structure of the model simply by knowing where it belongs in the list of classification. One broad principle of classification is based on whether the model simply provides a consistent plan or whether it also satisfies some criteria of optimality. A multisectoral consistency model provides an allocation of the scarce resources (e.g., investment and foreign exchange) in such a way that the sectoral output levels are consistent with some given consumption or income target, consistency in this context meaning that the supply of each sector's output is matched by demand generated by intersectoral and final use at base-year relative prices. To the extent that the targets are flexible, there may be many such feasible plans. An optimizing model finds the "best" possible allocation of resources among sectors, the "best" being understood in the sense of maximiz¬ing > a given preference function subject to the constraints that ensure that the plan is also feasible.

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A Consistency Model of Regional Growth

Artha Vijnana Journal of The Gokhale Institute of Politics and Economics ◽

10.21648/arthavij/1969/v11/i1/116757 ◽

1969 ◽

Vol 11 (1) ◽

pp. 72

Author(s):

R. Dhar ◽

G. K. Kadekodi

Keyword(s):

Regional Growth ◽

Consistency Model

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A Novel Building Temperature Simulation Approach Driven by Expanding Semantic Segmentation Training Datasets with Synthetic Aerial Thermal Images

Energies ◽

10.3390/en14020353 ◽

2021 ◽

Vol 14 (2) ◽

pp. 353

Author(s):

Yu Hou ◽

Rebekka Volk ◽

Lucio Soibelman

Keyword(s):

Semantic Segmentation ◽

Sensor Data ◽

University Campus ◽

City Center ◽

Thermal Images ◽

Complex Envelope ◽

Virtual Camera ◽

Image Translation ◽

Rgb Images ◽

Synthetic Datasets

Multi-sensor imagery data has been used by researchers for the image semantic segmentation of buildings and outdoor scenes. Due to multi-sensor data hunger, researchers have implemented many simulation approaches to create synthetic datasets, and they have also synthesized thermal images because such thermal information can potentially improve segmentation accuracy. However, current approaches are mostly based on the laws of physics and are limited to geometric models’ level of detail (LOD), which describes the overall planning or modeling state. Another issue in current physics-based approaches is that thermal images cannot be aligned to RGB images because the configurations of a virtual camera used for rendering thermal images are difficult to synchronize with the configurations of a real camera used for capturing RGB images, which is important for segmentation. In this study, we propose an image translation approach to directly convert RGB images to simulated thermal images for expanding segmentation datasets. We aim to investigate the benefits of using an image translation approach for generating synthetic aerial thermal images and compare those approaches with physics-based approaches. Our datasets for generating thermal images are from a city center and a university campus in Karlsruhe, Germany. We found that using the generating model established by the city center to generate thermal images for campus datasets performed better than using the latter to generate thermal images for the former. We also found that using a generating model established by one building style to generate thermal images for datasets with the same building styles performed well. Therefore, we suggest using training datasets with richer and more diverse building architectural information, more complex envelope structures, and similar building styles to testing datasets for an image translation approach.

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Assessment of changes in efficacy of antimalarials: a systematic review and network meta-regression

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.828 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

S W Youdom ◽

R S Tchouenkou ◽

E-P Ndong-Nguema ◽

L K Basco

Keyword(s):

Systematic Review ◽

Uncomplicated Malaria ◽

Data Science ◽

Meta Analysis ◽

Decision Makers ◽

Inclusion Criteria ◽

Antimalarial Drug Resistance ◽

Consistency Model ◽

Meta Regression ◽

Methodological Studies

Abstract Background The fight against diseases such as malaria requires the synthesis of evidence from existing studies to inform decision makers. Indeed, at a cross road of antimalarial drug resistance, several artemisinin-based combination therapies (ACT) with multiple doses are available to fight uncomplicated malaria. However, little is known on how these combinations are combined as well as how different formulations are tested. Methods A systematic review was performed to identify randomized trials. Articles were sought by hand-searching and scanning references. Additional covariates effect on treatment outcome was assessed, and a modeling approach to reduce heterogeneity among trials was evaluated. We explored one single interaction effect for all treatment with age as the main covariate in a meta-regression. A Bayesian analysis was used to implement the consistency and inconsistency models under the WinBUGS software. Ranking measure was used to obtain a hierarchy of the competing interventions. Results In total, 77 articles meet the inclusion criteria with 15 combinations tested in 36,000 patients. Results were compared to that of frequentist approach and presented according to the Prisma NMA checklist. The consistency model showed a good performance than the inconsistency model under the hypothesis of homogeneity. It was found that compared to artemether-lumefantrine, the dihydro-artemisinin-piperaquine was more effective before (B, OR = 1.83; 95% CI = 1.31-2.56) and after (A, OR = 1.70; 95% CI = 1.20-2.43) covariate adjustment, and occupied the top rank. Conclusions The application of the methods described here may be helpful to gain better understanding of treatment efficacy and improve future decisions in malaria programs. Based on the available evidence, this study demonstrated the superiority of DHAP among currently recommended ACT in preventing as well as treating uncomplicated malaria. Key messages Choosing the best therapy requires data triangulation and data science. Network meta-analysis could be a solution but need more methodological studies.

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