Microstructure and Wear Behavior of Conventional and Nanostructured Plasma-Sprayed WC-Co Coatings

WC-12%Co coatings were deposited by atmospheric plasma spraying using conventional and nanostructured powders and two secondary plasmogenous gases (He and H₂). Coating microstructure and phase composition were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), and x-ray diffraction techniques (XRD) techniques. This study examined wear and friction properties of the coatings under dry friction conditions. SEM was used to analyze abraded surface microstructure. Coating microhardness and fracture toughness were also determined. All coatings displayed strong decarburization as a result of WC decomposition, which gave rise to the formation of secondary phases (W₂C and W). A very fine undissolved WC crystalline dispersion coexisted with these new phases. TEM observation confirmed that the matrix was predominantly amorphous and filled with block-type, frequently dislocated crystallites. Wear was observed to follow a three-body abrasive mechanism, since debris between the ball and the coating surface was detected. The main wear mechanism was based on subsurface cracking, owing to the arising debris. WC grain decomposition and dissolution were concluded to be critical factors in wear resistance. The level of decomposition and dissolution could be modified by changing the plasmogenous gas or feed powder grain size. The influence of the plasmogenous gas on wear resistance was greater than the influence of feedstock particle size.     

Organic markers in the lipidic fraction of sewage sludges

The lipidic organic fraction of 48 sewage sludges that originated from food-processing, paper-mill and domestic (urban, small urban, and rural) wastewater-treatment plants of the Lorraine region (Northeast of France) was characterised by gas chromatography coupled with mass spectrometer (GC-MS). This study enables us to define an average organic composition typical of each group of sewage sludges. Linear alkyl benzenes (LABs) are only present in domestic sludges, sterols in food-processing and domestic sludges. Paper-mill sludges are characterised by the specific distribution of n-alkanes. Besides, all the domestic sludges, whatever the size of the wastewater catchment, are characterised by the same distribution of polar compounds. Differences can be evidenced in the distribution of the aliphatic compounds of some domestic sewage sludges and are attributed to the important contribution of petroleum products in their sewer system. Moreover, this study highlights the correlation between abundance of polycyclic aromatic hydrocarbons (PAHs) in the aromatic fraction of some sewage sludges and a distribution of n-alkanes characteristic of heavy petroleum products into the corresponding aliphatic fraction. This might be a clue for the determination of punctual sources of PAHs.     

Lessons from a comparison of work domain models: representational choices and their implications

As methods in cognitive work analysis become more widely applied, questions regarding the impact of modeling choices and similarities in modeling efforts across projects and domains are increasingly relevant. However, no explicit comparison of models of similar systems has been reported. This paper compares independently developed work domain analysis (WDA) models of two command and control environments. Similarities in model content and the types of nodes included provide evidence that WDA techniques can capture fundamental elements regarding purposes and constraints. These points of agreement provide a common starting point for developing work domain representations of military command and control systems. The comparison also revealed differences between the models. Although differences in content reflected differences in scope of coverage and level of detail, other differences corresponded to more fundamental choices in modeling approach. These included the treatment of sensors, level of integration in the model, and representation of particular abstract constraints. Examination of these more fundamental differences pointed to important degrees of freedom in how to represent a WDA and clarified the implications of these modeling choices for guiding design. Actual or potential applications of this research include aiding analysts in making work domain modeling choices as well as producing work domain models of command and control environments.     

Dietary phytoestrogens dampen female sexual behavior in mice with a disrupted aromatase enzyme gene.

Aromatization of testosterone (T) to estradiol (E2) during perinatal development in male rodents plays a significant role in sexual differentiation of the brain and adult behaviors. Exposure to estrogens during development can enhance masculine behaviors in adult females and reduce expression of female-typical behaviors in adult males. Previous studies have shown that, in addition to naturally occurring estrogens, dietary phytoestrogens can affect sexual differentiation. To distinguish between the effects of endogenous T-derived E2 and exogenous phytoestrogens, the authors used an aromatase knockout (ArKO) mouse that cannot produce E2 but is responsive to E2 via estrogen receptors α and β. Dams and their litters were maintained either on a standard mouse chow that was rich in phytoestrogens or on a chow nearly devoid of phytoestrogens. Mice were maintained on their perinatal diets after weaning. Adults of both sexes were gonadectomized and tested for lordosis behavior. In the ArKO females raised on a diet high in phytoestrogens, lordosis was reduced in comparison with females of both genotypes on the low phytoestrogen diet. The authors' findings suggest that dietary phytoestrogen consumption may partially defeminize adult female sexual behavior in the mouse. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Imbibition by polygonal spreading on microdecorated surfaces

Micropatterned surfaces have been studied extensively as model systems to understand influences of topographic or chemical heterogeneities on wetting phenomena. Such surfaces yield specific wetting or hydrodynamic effects, for example, ultrahydrophobic surfaces, 'fakir' droplets, tunable electrowetting, slip in the presence of surface heterogeneities and so on. In addition, chemical patterns allow control of the locus, size and shape of droplets by pinning the contact lines at predetermined locations. Applications include the design of 'self-cleaning' surfaces and hydrophilic spots to automate the deposition of probes on DNA chips. Here, we discuss wetting on topographically patterned but chemically homogeneous surfaces and demonstrate mechanisms of shape selection during imbibition of the texture. We obtain different deterministic final shapes of the spreading droplets, including octagons, squares, hexagons and circles. The shape selection depends on the topographic features and the liquid through its equilibrium contact angle. Considerations of the dynamics provide a 'shape' diagram that summarizes our observations and suggest rules for a designer's tool box.     

Convolutional neural network framework for wind turbine electromechanical fault detection

Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high-dimensional raw condition monitoring data for the automatic detection of multiple wind turbine electromechanical faults. The proposed approach leverages the potential of combining information from a variety of signals to learn features and to discriminate the types of fault and their severity. As a result of the CNN layers used to extract features from the signals, this architecture works in the time domain and can digest high-resolution multi-sensor data streams in real-time. To overcome the inherent black-box nature of AI models, this research proposes two interpretability techniques, multidimensional scaling and layer-wise relevance propagation, to analyse the proposed model's inner-working and identify the signal features relevant for fault classification. Experimental results show high performance and classification accuracies above 99.9% for all fault cases tested, demonstrating the efficacy of the proposed fault-detection system.     

Optimizing label-free DNA electrical detection on graphene platform

The anodized epitaxial graphene (EG) electrode demonstrates a high level of performance for electrochemical impedance as well as differential pulse voltammetry detection of immobilized DNA and free DNA, respectively, at solid-liquid interfaces. On the anodized EG surface, because of the presence of oxygen functionalities as well as π conjugated domains, the anchoring of the DNA probe can be achieved by either covalent grafting or noncovalent π-π stacking readily. The effect of different binding modes on the sensitivity of the impedimetric sensing was investigated. Equivalent circuit modeling shows that the sensitivity of EG to DNA hybridization is controlled by changes in the resistance of the molecular layer as well as the space charge layer. The linear dynamic detection range of EG for DNA oligonucleotides is in the range of 5.0 × 10(-14) to 1 × 10(-6) M. In addition, with the use of differential pulse voltammetry, single stranded DNA, fully complimentary DNA, as well as single nucleotide polymorphisms can be differentiated on anodized EG by monitoring the oxidation signals of individual nucleotide bases.     

Fungal diversity in cow, goat and ewe milk

Knowledge of fungal diversity in the environment is poor compared with bacterial biodiversity. In this study, we applied the denaturing high-performance liquid chromatography (D-HPLC) technique, combined with the amplification of the ITS1 region from fungal rDNA, for the rapid identification of major fungal species in 9 raw milk samples from cow, ewe and goat, collected at different periods of the year. A total of 27 fungal species were identified. Yeast species belonged to Candida, Cryptococcus, Debaryomyces, Geotrichum, Kluyveromyces, Malassezia, Pichia, Rhodotorula and Trichosporon genera; and mold species belonged to Aspergillus, Chrysosporium, Cladosporium, Engyodontium, Fusarium, Penicillium and Torrubiella genera. Cow milk samples harbored the highest fungal diversity with a maximum of 15 species in a single sample, whereas a maximum of 4 and 6 different species were recovered in goat and ewe milk respectively. Commonly encountered genera in cow and goat milk were Geotrichum candidum, Kluyveromyces marxianus and Candida spp. (C. catenulata and C. inconspicua); whereas Candida parapsilosis was frequently found in ewe milk samples. Most of detected species were previously described in literature data. A few species were uncultured fungi and others (Torrubiella and Malassezia) were described for the first time in milk.