A Meta-Analysis of the Use of Genetically Modified Cotton and Its Conventional in Agronomy Aspect and Economic Merits

Rising the area of growing Genetically Modified (GM) cotton mostly derived from the yield gain and income gain both GM cotton and conventional cotton is affected by seed cost, pesticide cost, management and labor cost. Therefore, planting GM cotton should be considering both agronomy aspect in yield gain and economic dimension in income gain. Those aspects are not only for GM cotton but also for conventional cotton. This paper is a meta-analysis as a synthesis of current research by searching literature both peer-reviewed and non peer-reviewed. A meta-analysis depicted that individual study mostly favor GM cotton in yield gain, seed cost and pesticide cost. However, in terms of pesticide cost a meta-analysis prone to favor non GM cotton. Moreover, a meta-analysis revealed that the positive impact in the differences of GM cotton and conventional cotton as the evidence of the publication is highly significant. Key Words : Genetically Modified, Cotton, Conventional, Yield, Income, Gain, Meta-Analysi

IDETC2006-99599 SOME METRICS AND A BAYESIAN PROCEDURE FOR VALIDATING PREDICTIVE MODELS IN ENGINEERING DESIGN

ABSTRACT Even though model-based simulations are widely used in engineering design, it remains a challenge to validate models and assess the risks and uncertainties associated with the use of predictive models for design decision making. In most of the existing work, model validation is viewed as verifying the model accuracy, measured by the agreement between computational and experimental results. However, from the design perspective, a good model is considered as the one that can provide the discrimination (good resolution) between design candidates. In this work, a Bayesian approach is presented to assess the uncertainty in model prediction by combining data from both physical experiments and the computer model. Based on the uncertainty quantification of model prediction, some design-oriented model validation metrics are further developed to guide designers for achieving high confidence of using predictive models in making a specific design decision. We demonstrate that the Bayesian approach provides a flexible framework for drawing inferences for predictions in the intended but may be untested design domain, where design settings of physical experiments and the computer model may or may not overlap. The implications of the proposed validation metrics are studied, and their potential roles in a model validation procedure are highlighted. general term of design validation metric k number of design candidates space INTRODUCTION With rapid increase of computational capability, modeling and simulation based design has been increasingly used for designing new engineering systems. However, it remains a challenge on assessing the risks and uncertainties associated with the use of predictive models in engineering design. Eve

Experiments on bright field and dark field high energy electron imaging with thick target material

Using a high energy electron beam for the imaging of high density matter with both high spatial-temporal and areal density resolution under extreme states of temperature and pressure is one of the critical challenges in high energy density physics . When a charged particle beam passes through an opaque target, the beam will be scattered with a distribution that depends on the thickness of the material. By collecting the scattered beam either near or off axis, so-called bright field or dark field images can be obtained. Here we report on an electron radiography experiment using 45 MeV electrons from an S-band photo-injector, where scattered electrons, after interacting with a sample, are collected and imaged by a quadrupole imaging system. We achieved a few micrometers (about 4 micrometers) spatial resolution and about 10 micrometers thickness resolution for a silicon target of 300-600 micron thickness. With addition of dark field images that are captured by selecting electrons with large scattering angle, we show that more useful information in determining external details such as outlines, boundaries and defects can be obtained.Comment: 7pages, 7 figure

Comparison of genetic impact on growth and wood traits between seedlings and clones from the same plus trees of Pinus koraiensis

To evaluate the relationships among clones and open pollinated families from the same plus trees and to select elite breeding materials, growth, and wood characteristics of 33-year-old Pinus koraiensis clones and families were measured and analyzed. The results show that growth and wood characters varied significantly. The variation due to clonal effects was higher than that of family effects. The ratio of genetic to phenotypic coefficient of variation of clones in growth and wood traits was above 90%, and the repeatability of these characteristics was more than 0.8, whereas the ratio of genetic to phenotypic coefficient of variation of families was above 90%. The broad-sense heritability of all characteristics exceeded 0.4, and the narrow-sense family heritability of growth traits was less than 0.3. Growth characteristics were positively correlated with each other, but most wood properties were weakly correlated in both clones and families. Fiber length and width were positively correlated between clones and families. Using the membership function method, eleven clones and four families were selected as superior material for improved diameter growth and wood production, and two families from clonal and open-pollinated trees showed consistently better performance. Generally, selection of the best clones is an effective alternative to deployment of families as the repeatability estimates from clonal trees were higher than narrow-sense heritability estimates from open pollinated families. The results provide valuable insight for improving P. koraiensis breeding programs and subsequent genetic improvement

Clinicopathological characteristics of synchronous multiple primary early esophageal cancer and risk factors for multiple lesions

BackgroundWith the development of endoscopic technology, the detection rate of synchronous multiple primary early esophageal cancer (SMPEEC) is increasing; however, the risk factors remain unclear. We aimed to assess the clinicopathological characteristics of patients with SMPEEC and investigate the risk factors contributing to the development of multiple lesions.MethodsA retrospective cohort study was conducted on 911 consecutive patients who underwent Endoscopic submucosal dissection (ESD) for primary esophageal neoplasms from January 2013 to June 2021. The patients were divided into the SMPEEC group and the solitary early esophageal cancer (SEEC) group. We compared the differences in clinicopathological characteristics between the two groups and investigated the risk factors linked to multiple lesions. Additionally, we investigated the relationship between the main and accessory lesions.ResultsA total of 87 SMPEEC patients were included in this study, and the frequency of synchronous multiple lesions was 9.55% in patients with early esophageal cancer. The lesions in the SMPEEC group were mainly located in the lower segment of the esophagus (46[52.9%]), whereas those in the SEEC group were in the middle segment (412[50.0%]). The pathology type, tumor location, and circumferential rate of lesions were independent risk factors(P<0.05) for SMPEEC by logistic regression analysis. Significant positive correlations were observed between the main and accessory lesions in terms of morphologic type (r=0.632, P=0.000), tumor location(r=0.325, P=0.037), pathologic type (r=0.299, P=0.003), and depth of invasion (r=0.562, P=0.000).ConclusionPathology type, tumor location, and circumferential rate of lesions were identified as independent risk factors for SMEPPC. Understanding these risk factors and the correlation between the main and accessory lesions could significantly improve the detection rate of SMPEEC

GC-1 mRHBDD1 knockdown spermatogonia cells lose their spermatogenic capacity in mouse seminiferous tubules

<p>Abstract</p> <p>Background</p> <p>Apoptosis is important for regulating spermatogenesis. The protein mRHBDD1 (mouse homolog of human RHBDD1)/rRHBDD1 (rat homolog of human RHBDD1) is highly expressed in the testis and is involved in apoptosis of spermatogonia. GC-1, a spermatogonia cell line, has the capacity to differentiate into spermatids within the seminiferous tubules. We constructed mRHBDD1 knockdown GC-1 cells and evaluated their capacity to differentiate into spermatids in mouse seminiferous tubules.</p> <p>Results</p> <p>Stable mRHBDD1 knockdown GC-1 cells were sensitive to apoptotic stimuli, PS341 and UV irradiation. <it>In vitro</it>, they survived and proliferated normally. However, they lost the ability to survive and differentiate in mouse seminiferous tubules.</p> <p>Conclusion</p> <p>Our findings suggest that mRHBDD1 may be associated with mammalian spermatogenesis.</p

EFFECTIVE ELASTIC MODULUS OF BONE-LIKE HIERARCHICAL MATERIALS

A shear-lag model is used to study the mechanical properties of bone-like hierarchical materials. The relationship between the overall effective modulus and the number of hierarchy level is obtained. The result is compared with that based on the tension-shear chain model and finite element simulation, respectively. It is shown that all three models can be used to describe the mechanical behavior of the hierarchical material when the number of hierarchy levels is small. By increasing the number of hierarchy level, the shear-lag result is consistent with the finite element result. However the tension-shear chain model leads to an opposite trend. The transition point position depends on the fraction of hard phase, aspect ratio and modulus ratio of hard phase to soft phase. Further discussion is performed on the flaw tolerance size and strength of hierarchical materials based on the shear-lag analysis

Identified potential biomarkers may predict primary nonresponse to infliximab in patients with ulcerative colitis

Primary nonresponse to infliximab in patients with ulcerative colitis (UC) is common. However, there are currently no effective biomarkers for this prediction. This study aimed to identify potential predictors for precision anti-tumor necrosis factor-alpha treatment in patients with UC. Four GPL570 datasets (GSE14580, GSE12251, GSE23597, and GSE16879) were included in this study. Sixty-nine differentially expressed genes (DEGs) were identified, while 67 were up-regulated and two were down-regulated by comparing the gene expression in response samples with the nonresponse samples. Gene Ontology analysis showed that DEGs were mostly enriched in neutrophil-mediated immunity, neutrophil activation, neutrophil activation involved in the immune response, neutrophil degranulation, and leukocyte migration. Kyoto Encyclopaedia of Genes and Genomes analysis indicated that these DEGs were mostly enriched in cytokine-cytokine receptor interactions and interleukin (IL)-17 signalling pathways. After protein-protein interaction network analysis, verification by test set, and confirmation of clinical UC samples, S100 calcium-binding protein A8 (S100A8), S100A9, triggering receptor expressed on myeloid cells 1 (TREM1), toll-like receptor 2 (TLR2), IL1B, and formyl peptide receptor 1 (FPR1) were identified as the hub genes. We found that the immune cell composition in the intestinal tissues of UC patients with primary nonresponse included naïve CD4+ T cells, memory resting CD4+ T cells, resting natural killer cells, resting dendritic cells, activating dendritic cells, eosinophils, and neutrophils. Among these, neutrophils showed the most significant differences. In addition, all six potential predictors were significantly associated with the neutrophil count. Our study identified six potential biomarkers, namely S100A8, S100A9, TREM1, TLR2, IL1B, and FPR1, and one type of immune cell, neutrophils, between UC patients with response and primary nonresponse to infliximab. We speculated that changes in the expression of these six potential biomarkers combined with changes in the activity or local quantity of neutrophils might help predict primary nonresponse to infliximab in patients with UC