A research on sintering characteristics and mechanisms of dried sewage sludge

This study investigates the sintering behavior of dried sewage sludge and the related sintering mechanisms, considering sintering temperature and sintering time. Experimental results indicate that the characteristics are primarily influenced by sintering temperature. When the sintering temperature is increased from 1020 to 1050 °C, the specimens’ compressive strength and bulk density increase significantly, while water absorption decreases obviously, indicating an improvement of densification due to sintering. However, the compressive strength cannot meet the requirement for traditional ceramic products due to the release of organic matters and the formation of big pores in the products. Phosphorus in sewage sludge initially takes reactions with the formation of calcium magnesium phosphate and aluminum phosphate during sintering, which are helpful for enhancing the compressive strength. So, some materials with high contents of Al could be used to enhance the compressive strength of products. Heavy metals are fixed primarily inside the sintered specimens, with the As, Pb, Cd, Cr, Ni, Cu, Zn concentrations in the leachate found to be in the range of China regulatory requirements. These results reveal the feasibility of recycling dried sewage sludge by sintering as a construction material.     

Cost-Benefit Analysis of Dam Projects: The Perspectives of Resettled and Non-resettled Communities

The research focuses on the perception of the Mucharz reservoir in relation to costs and benefits for two types of communities. The primary aim of the paper is to compare the social impact of dam projects among both resettled and non-resettled local communities. The secondary aim of the paper is to test multivariate analysis of variance (MANOVA) as a tool to examine the social impact assessment (SIA) of dam projects. The studied dam is located on the Skawa River within the Polish Carpathians. We used in-depth interviews with a non-resettled (N?=?96) and resettled (N?=?57) local population. To analyse the collected data, we performed multivariate analysis of variance. The main results indicate that the social assessment of dam projects differs significantly depending on whether one belongs to the group of resettled or non-resettled population. MANOVA is an effective tool for the analysis of the social impact assessment (SIA) of dam projects.

     

Development of the OCDS-Revised: A Measure of Alcohol and Drug Urges With Outpatient Substance Abuse Clients.

Urges to use substances is an important construct in understanding the maintenance of substance use as well as relapse. There is a need to evaluate single instruments measuring global urges to use substances (including alcohol). The Obsessive Compulsive Drinking Scale (OCDS; R. F. Anton, D. H. Moak, & P. Latham, 1995) was revised and tested as a single measure of urges to use substances. Participants were 252 adults entering outpatient substance abuse treatment. Results suggest that the revised scale (OCDS-R) primarily assesses 1 global factor for urges to use substances. In addition, strong support was found for the reliability and concurrent validity of the OCDS-R, although results for its predictive validity were mixed. The OCDS-R is a brief, psychometrically sound self-report instrument that has applicability within clinical and research settings. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Ln2+ stabilization in strontium borates

The effect of crystal structure on the stability of Ln²⁺ ions in strontium borates has been studied by luminescence spectroscopy. The results indicate that the stability of Ln²⁺ in strontium borates depends on the nature of the borate anions surrounding it and the effectiveness of the compensation of the charge on Ln³⁺, which can be quantified by the formal volume per oxygen atom, V _O, in the structure of the borate.     

The assessment of therapeutic effectiveness of paravertebral blockades in patients with painful radicular syndromes in discopathy and in lumbar spine spondylosis

A group of 103 patients were examined for radicular painful syndromes in lumbar discopathy and lumbar spondylosis. Fifty-eight were treated by placing them in spine-decompressing position, traction and therapeutic exercises. The group of 45 patients had additionally paravertebral blockade (steroid + a local anaesthetic). In the blockade group the therapeutic effects were better, with rapid reduction of acute pain, with wellbeing improvement and better comfort, which facilitated further stages of the treatment. This made possible shortening of hospital stay by 20%, on average, as compared with the group without blockade. In patients with shorter lasting radicular pains (below 2 months) the results after paravertebral blockade were significantly better than in cases with longer duration of pains (2-6 months).     

An endogenous sialoprotein and a bacterial B cell superantigen compete in their VH family-specific binding interactions with human Igs

Staphylococcal protein A (SpA), a bacterial membrane protein, and protein Fv (Fv binding protein (pFv)), a human sialoprotein involved in gut-associated immunity, have both recently been shown to have unconventional V(H) family-restricted binding interactions with Igs. To determine whether these Ig binding proteins interact with related structures, we performed a series of comparative binding studies. The results confirmed that both molecules are bound by most V(H)3 IgM, but pFv is also recognized by V(H)3 and V(H)6 Ig that do not interact with SpA. We discovered that pFv and SpA (or a single domain of SpA) can compete for binding to a V(H)3 Ab, which suggests that they can recognize the same (or adjacent) V(H) sites. For both SpA and pFv, binding is less frequent among IgG than IgM. However, V(H)3 IgG more commonly possess Fab-mediated binding activity for pFv than for SpA. Binding studies of denatured Ig suggested that both pFv and SpA interact with conformationally dependent V(H) sites, although in certain cases pFv binding is more permissive than SpA binding. Taken together, these results indicate that the superantigen properties of SpA, a microbial protein, and those of pFv, an endogenous sialoprotein, involve binding interactions with overlapping and at times functionally equivalent sites in the V(H) domain, indicating that self and foreign proteins can employ highly conserved strategies to create superantigens for the Ag receptors of B lymphocytes.     

Analytic Modeling of an Adapter to Local Area Networks

A model of an adapter to a local area network is used to study the timing problem associated with the reception of back-to-back frames from a multiaccess transmission medium. The conditions under which frames are received successfully are presented. Analytic results are also obtained for the probabilities that frames are lost and a given number of back-to-back frames is successfully received. Numerical results illustrating the effect of the various design parameters on adapter performance are discussed.     

Architecture and Design of a Reliable Token-Ring Network

Architecture, performance, transmission system, and wiring strategy of a token-ring local area network implemented at the IBM Zurich Research Laboratory are described. In the design of the system, particular emphasis was placed on high reliability, availability, and serviceability. To ensure robustness of the token-access protocol, we employ the concept of a monitor function which is responsible for fast recovery from access-related errors. Our protocol supports asynchronous transmission of data frames concurrently with full-duplex synchronous channels, e.g., for voice services or other applications requiring guaranteed delay. The delay-throughput performance of the token ring is shown to depend very little on data rate and distance. The transmission system of the ring is fully bit synchronous and allows insertion/removal of stations in/from the ring at any time. A mixed ring/star wiring strategy is used which provides the means for both fault detection and isolation, and system reconfiguration, and allows wiring of a building systematically.     

Nanostructured Bulk Silicon as an Effective Thermoelectric Material

Thermoelectric power sources have consistently demonstrated their extraordinary reliability and longevity for deep space missions and small unattended terrestrial systems. However, more efficient bulk materials and practical devices are required to improve existing technology and expand into large‐scale waste heat recovery applications. Research has long focused on complex compounds that best combine the electrical properties of degenerate semiconductors with the low thermal conductivity of glassy materials. Recently it has been found that nanostructuring is an effective method to decouple electrical and thermal transport parameters. Dramatic reductions in the lattice thermal conductivity are achieved by nanostructuring bulk silicon with limited degradation in its electron mobility, leading to an unprecedented increase by a factor of 3.5 in its performance over that of the parent single‐crystal material. This makes nanostructured bulk (nano‐bulk) Si an effective high temperature thermoelectric material that performs at about 70% the level of state‐of‐the‐art Si_0.8Ge_0.2 but without the need for expensive and rare Ge.     

A Bayesian approach to forecasting daily air-pollutant levels

Forecasting air-pollutant levels is an important issue, due to their adverse effects on public health, and often a legislative necessity. The advantage of Bayesian methods is their ability to provide density predictions which can easily be transformed into ordinal or binary predictions given a set of thresholds. We develop a Bayesian approach to forecasting PM\(_{10}\) and O\(_3\) levels that efficiently deals with extensive amounts of input parameters, and test whether it outperforms classical models and experts. The new approach is used to fit models for PM\(_{10}\) and O\(_3\) level forecasting that can be used in daily practice. We also introduce a novel approach for comparing models to experts based on estimated cost matrices. The results for diverse air quality monitoring sites across Slovenia show that Bayesian models outperform classical models in both PM\(_{10}\) and O\(_3\) predictions. The proposed models perform better than experts in PM\(_{10}\) and are on par with experts in O\(_3\) predictions—where experts already base their predictions on predictions from a statistical model. A Bayesian approach—especially using Gaussian processes—offers several advantages: superior performance, robustness to overfitting, more information, and the ability to efficiently adapt to different cost matrices.