Microphthalmia–prenatal ultrasonic diagnosis: A case report

Prenatal real-time ultrasonographic diagnosis of microphthalmia is presented. Diagnosis was made at 18 weeks' gestation in a fetus of a patient with a previous infant affected with the syndrome of cryptophthalmia with absence of septum nasi and ambiguous genitalia (Fraser syndrome). Recognition of microphthalmia as a part of Fraser syndrome and the easy visualization of fetal facial bones and orbits in the second trimester made the diagnosis possible.     

Mobility of free surface in different liquids and its influence on water striders locomotion

Dynamics of the surface layer in different liquids is examined by means of infrared thermography of the surface and simultaneous velocity fields measurements using surface and infrared Particle Image Velocimetry. This technique allows measurements and comparison of two velocity fields—at the surface and at small depth about 50–200 μm. In distilled water the velocity fields at the surface and at small depth exhibit significant dissimilarity. The flow field below the surface is essentially 3D, whereas the surface flow is characterized by vanishing 2D divergence of velocity, indicating predominantly planar motion. In contrast, in ethanol–butanol mixture two velocity fields are well correlated, both corresponding to 3D flow with continuous surface renewal. Thermal patterns, observed at the surface, and the flow field structure in different liquids are associated with different boundary conditions for velocity at the surface. Water surface is seldom renewed, which inhibits heat and mass exchange between the liquid and atmosphere. However, absence of vertical advection also enables organisms to live within the surface layer, to stand and walk on the free surface. This is illustrated by the difficulties a water strider faces on the surface of ultrapure water, which exhibits Marangoni convection.     

Accumulation of natural radionuclides (7Be, 210Pb) and micro-elements in mosses,lichens and cedar and larch needles in the Arctic Western Siberia

Environmental Science and Pollution Research - This is a study of the atmospheric-origin natural radionuclides (7Be and 210Pb) and a wide range of micro- and macro-element accumulation in mosses,...     

Polymer Barrier Films

Many polymers such as polyolefins (polyethylene, polypropylene), poly(vinyl chloride), aliphatic polyamides, poly(ethylene terephthalate), polycarbonate, and others are used as protective barrier films against the mass transport of small molecules of gases, vapors, and liquids (known as diffusates, permeants) in different applications. The barrier properties depend on the polymer characteristics such as solubility, diffusion, permeability, and others, the nature of the fluid, temperature, and other factors. Mainly polymer barrier film application in packaging, construction, and agriculture are discussed.     

Developing new environmental excellence programs: Lessons from epa's environmental leadership program

Interest in the concept—and implementation—of environmental excellence is at an all-time high. A wealth of examples from individual companies, trade associations, states, industry coalitions, and the federal government illustrate the growing acceptance by a wide range of stakeholders of a management systems approach to environmental issues. Perhaps nowhere is this more clear than in the collection of public comments submitted to EPA in response to its January 15, 1993, Federal Register notice, which proposed the creation of an Environmental Leadership Program (ELP). The authors, both of whom worked on the ELP, review these public comments and offer a set of “do's and don'ts” for organizations interested in establishing an environmental excellence program. In addition, the authors outline the Green Track proposal, a plan to structure an alternate regulatory pathway based on environmental excellence.     

A mathematical model of field population dynamics of the southern pine beetle, dendroctonus frontalis

The southern pine beetle, Dendroctonus frontalis Zimmermann, is a major insect pest of pines in the southern U.S.A. A population dynamic model of D. frontalis within an infestation was developed. The model is based on the integration of several component submodels that describe individual life stage processes of the beetle. The inclusion of variable forest stand density and microclimate conditions results in a model response which closely follows actual field responses. A sensitivity analysis was performed to investigate effects of weather conditions and the importance of the spatial patterns within the forest.     

Underemployment among recent business college graduates

This article explores an increasingly salient employment issue, namely, underemployment of recent college graduates. Using a sample of 283 recent business college graduates, the paper examines the consequences of underemployment on individuals' attitudes towards their jobs, their careers, and their lives in general. It explores, as well, how recent college graduates cope with underemployment and the impact of those coping strategies on individuals' psychological well-being. The paper concludes with directions for future research on underemployment among recent graduates in terms of theory development, research methodology, and public policy formulation.     

An intelligent emissions controller for fuel lean gas reburn in coal-fired power plants

The application of artificial intelligence techniques for performance optimization of the fuel lean gas reburn (FLGR) system is investigated. A multilayer, feedforward artificial neural network is applied to model static nonlinear relationships between the distribution of injected natural gas into the upper region of the furnace of a coal-fired boiler and the corresponding oxides of nitrogen (NOx) emissions exiting the furnace. Based on this model, optimal distributions of injected gas are determined such that the largest NOx reduction is achieved for each value of total injected gas. This optimization is accomplished through the development of a new optimization method based on neural networks. This new optimal control algorithm, which can be used as an alternative generic tool for solving multidimensional nonlinear constrained optimization problems, is described and its results are successfully validated against an off-the-shelf tool for solving mathematical programming problems. Encouraging results obtained using plant data from one of Commonwealth Edison's coal-fired electric power plants demonstrate the feasibility of the overall approach. Preliminary results show that the use of this intelligent controller will also enable the determination of the most cost-effective operating conditions of the FLGR system by considering, along with the optimal distribution of the injected gas, the cost differential between natural gas and coal and the open-market price of NOx emission credits. Further study, however, is necessary, including the construction of a more comprehensive database, needed to develop high-fidelity process models and to add carbon monoxide (CO) emissions to the model of the gas reburn system.