Clinical and Biochemical Effects of Environmental Tobacco Smoking On Pregnancy Outcome

The effects of environmental tobacco smoke (ETS) are less studied especially on neonates. This study evaluates the clinical and biochemical effects in neonates exposed to ETS during pregnancy. Two hundred pregnant women asked to complete the questioners about their ETS. Ninety from them were enrolled in biochemical assays as two groups according to ETS. The cotinine level determined in saliva and serum of mothers to confirm their tobacco exposure. The routine tracheal suction from the fetus was used to determine the level of neuron specific enolase (NSE), soluble E-cadherin, sApo-1/Fas, nitric oxide (NO) and cotinine. In clinical assessment, the percent of full term babies in non-exposed group (72 %) are higher compared to exposed group (67 %). Apgar score at the first min, admission to intensive care unit (ICU) and morbidity during the first month shows statistical significance increase in exposed compared to non-exposed group (p = 0.03, 0.05, 0.01, respectively). The new born weight in exposed group significantly decreased compared to non-exposed group (2,850 g ± 3.74 vs 2,967.67 g ± 3.34; p = 0.02). In biochemical assessment, NSE and sE-cadherin significantly increased, while NO significantly decreased (p = 0.000) in exposed compared to non-exposed group. There is a positive correlation between level of cotinine and both NSE, sE-cadherin (r = 0.7, 0.9; p = 0.000, 0.006, respectively). To our knowledge, this is the first study link between prenatal tobacco exposure (PTE) and biochemical parameters measured in tracheal suction. PTE will lead to decrease in birth weight most probably by decreasing NO, sFas, and increasing sE-cadherin. While, increased morbidity of neonates in the exposed group could be attributed to cessation of breast feeding and its complication and increased NSE in the studied markers.     

Personal best goals and academic and social functioning: A longitudinal perspective

Personal best goals (PB goals) articulate a target performance standard that matches or exceeds one’s previous best. This study examined the role of PB goals in academic and social functioning. Alongside academic and social outcome measures, PB goal items were administered to 249 high-school students at the beginning and end of their school year. Longitudinal structural equation modeling suggested, at Time 1, PB goals significantly predicted students’ deep learning, academic flow, academic buoyancy, positive teacher relationship, and favorable attitudes toward peer cooperation. Further, at Time 2, the effects of PB goals on deep learning, academic flow, and positive teacher relationship remained significant after controlling for prior variance of corresponding Time-1 factors, suggesting sustained benefits of PB goals in students’ academic and social development. These findings hold substantive, applied, and methodological implications for researchers and practitioners seeking to examine and harness PB goals in educational settings.     

Implicit beliefs of ability and maladaptive learning: does self-efficacy matter?

This study investigated the interaction between self-efficacy and implicit beliefs of ability in their association with maladaptive learning in mathematics. The analysis was based on a large sample of 2538 Singapore Secondary 2 students (M_age = 13.75), who took measures of entity beliefs of ability, self-efficacy, and three maladaptive learning variables in mathematics: novelty avoidance, cheating, and anxiety. We conducted latent interaction analysis with gender and previous mathematics achievement controlled and found that higher self-efficacy did not buffer, but enhanced the positive association between entity beliefs of ability and the three maladaptive learning variables. When entity beliefs of ability were higher, the increase in the three maladaptive learning was larger for those with higher self-efficacy than those with lower self-efficacy. Findings suggest a revision of the moderation hypothesis in the literature: higher self-efficacy is more helpful in preventing maladaptive learning for incremental theorists than for entity theorists.     

Improved digital tracking controller design for pilot-scale unmanned helicopter

In this paper, methods for improved design of digital tracking controller for a pilot-scale unmanned helicopter are considered. By discretizing the linearized helicopter model, the linear quadratic with integral (LQI) capability is investigated and applied in order to develop an efficient tracking system including a state-feedback plus integral action. The helicopter velocities are used to formulate a prescribed position reference tracking trajectory. When both process and measurement noises are present, a Kalman filter (KF) is combined with the LQI to form a linear quadratic Gaussian with integral (LQGI) tracking system. Simulation studies illuminate both the capability of the controller design and the accuracy of the estimator. Next, H₂, $H_{\infty }$ and mixed $H_2/H_{\infty }$ controls are designed and the results between methods are produced and compared.